Podcasts about applied research

Hoewel ‘de comfortzone' geen wetenschappelijke term is, weten we intuïtief allemaal wat ermee wordt bedoeld. Het is die mentale ruimte waarin je je veilig, vertrouwd en ontspannen voelt. Toch worden we allemaal aangemoedigd dit comfortabele gevoel op te geven om ongemak te ervaren. Daar zou de ruimte liggen voor persoonlijke groei. In deze aflevering bespreken we wat wetenschappelijk onderzoek ons kan vertellen over (het verlaten van) de comfortzone en hoor je welke situaties ons uit onze comfortzone halen. Presentatie: Rolf Zwaan & Anita EerlandMuziek geschreven en gespeeld door Rolf ZwaanBronnenBandura, A. (1978). Self-efficacy: Toward a unifying theory of behavioral change. Advances in Behaviour Research and Therapy, 1(4), 139-161. https://doi.org/10.1016/0146-6402(78)90002-4Bjork, R.A., & Bjork, E.L. (2011). Desirable difficulties in learning.Bjork, R. A., & Bjork, E. L. (2020). Desirable difficulties in theory and practice. Journal of Applied Research in Memory and Cognition, 9(4), 475-479. Dweck, C.S. (2006). Mindset: The new psychology of success.Heller, A.S., Shi, T.C., Ezie, C.E.C. et al. Association between real-world experiential diversity and positive affect relates to hippocampal–striatal functional connectivity. Nature Neuroscience, 23, 800–804 (2020). https://doi.org/10.1038/s41593-020-0636-4Kashdan, T. B., & Rottenberg, J. (2010). Psychological flexibility as a fundamental aspect of health. Clinical psychology review, 30(7), 865–878. https://doi.org/10.1016/j.cpr.2010.03.001Kiknadze, N.C., & Leary, M.R. (2021). Comfort zone orientation: Individual differences in the motivation to move beyond one's comfort zone. Personality and Individual Differences, 181. https://doi.org/10.1016/j.paid.2021.111024Yerkes, R.M., & Dodson, J.D. (1908). The Relation of Strength of Stimulus to Rapidity of Habit Formation. Journal of Comparative Neurology & Psychology, 18, 459–482. https://doi.org/10.1002/cne.920180503In deze aflevering refereren we aan de volgende eerdere afleveringen: Waarom praten we (niet) met vreemden? (37) en Er zit iets tussen je tanden (75). Een compleet overzicht met alle thema's uit de podcast en de bijbehorende afleveringen vind je hier op Rolfs Nederlandse blog. De samenvatting van deze aflevering wordt binnenkort gepost. Volg Rolf op Craving Coherence voor Engelstalige posts - over meer dan de onderwerpen uit de podcast. Hosted on Acast. See acast.com/privacy for more information.

Summer rewind: Greg Lindsay is an urban tech expert and a Senior Fellow at MIT. He's also a two-time Jeopardy champion and the only human to go undefeated against IBM's Watson. Greg joins thinkenergy to talk about how artificial intelligence (AI) is reshaping how we manage, consume, and produce energy—from personal devices to provincial grids, its rapid growth to the rising energy demand from AI itself. Listen in to learn how AI impacts our energy systems and what it means individually and industry-wide. Related links: ●       Greg Lindsay website: https://greglindsay.org/ ●       Greg Lindsay on LinkedIn: https://www.linkedin.com/in/greg-lindsay-8b16952/ ●       International Energy Agency (IEA): https://www.iea.org/ ●       Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-cem-leed-ap-8b612114/ ●       Hydro Ottawa: https://hydroottawa.com/en    To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405   To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl   To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited   Follow along on Instagram: https://www.instagram.com/hydroottawa   Stay in the know on Facebook: https://www.facebook.com/HydroOttawa   Keep up with the posts on X: https://twitter.com/thinkenergypod --- Transcript: Trevor Freeman  00:00 Hi everyone. Well, summer is here, and the think energy team is stepping back a bit to recharge and plan out some content for the next season. We hope all of you get some much needed downtime as well, but we aren't planning on leaving you hanging over the next few months, we will be re releasing some of our favorite episodes from the past year that we think really highlight innovation, sustainability and community. These episodes highlight the changing nature of how we use and manage energy, and the investments needed to expand, modernize and strengthen our grid in response to that. All of this driven by people and our changing needs and relationship to energy as we move forward into a cleaner, more electrified future, the energy transition, as we talk about many times on this show. Thanks so much for listening, and we'll be back with all new content in September. Until then, happy listening.   Trevor Freeman  00:55 Welcome to think energy, a podcast that dives into the fast changing world of energy through conversations with industry leaders, innovators and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional and up and coming facets of the energy industry. If you have any thoughts feedback or ideas for topics we should cover, please reach out to us at think energy at hydro ottawa.com, Hi everyone. Welcome back. Artificial intelligence, or AI, is a term that you're likely seeing and hearing everywhere today, and with good reason, the effectiveness and efficiency of today's AI, along with the ever increasing applications and use cases mean that in just the past few years, AI went from being a little bit fringe, maybe a little bit theoretical to very real and likely touching everyone's day to day lives in ways that we don't even notice, and we're just at the beginning of what looks to be a wave of many different ways that AI will shape and influence our society and our lives in the years to come. And the world of energy is no different. AI has the potential to change how we manage energy at all levels, from our individual devices and homes and businesses all the way up to our grids at the local, provincial and even national and international levels. At the same time, AI is also a massive consumer of energy, and the proliferation of AI data centers is putting pressure on utilities for more and more power at an unprecedented pace. But before we dive into all that, I also think it will be helpful to define what AI is. After all, the term isn't new. Like me, many of our listeners may have grown up hearing about Skynet from Terminator, or how from 2001 A Space Odyssey, but those malignant, almost sentient versions of AI aren't really what we're talking about here today. And to help shed some light on both what AI is as well as what it can do and how it might influence the world of energy, my guest today is Greg Lindsay, to put it in technical jargon, Greg's bio is super neat, so I do want to take time to run through it properly. Greg is a non resident Senior Fellow of MIT's future urban collectives lab Arizona State University's threat casting lab and the Atlantic Council's Scowcroft center for strategy and security. Most recently, he was a 2022-2023 urban tech Fellow at Cornell Tech's Jacobs Institute, where he explored the implications of AI and augmented reality at an urban scale. Previously, he was an urbanist in resident, which is a pretty cool title, at BMW minis urban tech accelerator, urban X, as well as the director of Applied Research at Montreal's new cities and Founding Director of Strategy at its mobility focused offshoot, co motion. He's advised such firms as Intel, Samsung, Audi, Hyundai, IKEA and Starbucks, along with numerous government entities such as 10 Downing Street, us, Department of Energy and NATO. And finally, and maybe coolest of all, Greg is also a two time Jeopardy champion and the only human to go undefeated against IBM's Watson. So on that note, Greg Lindsey, welcome to the show.   Greg Lindsay  04:14 Great to be here. Thanks for having me. Trevor,   Trevor Freeman  04:16 So Greg, we're here to talk about AI and the impacts that AI is going to have on energy, but AI is a bit of one of those buzzwords that we hear out there in a number of different spheres today. So let's start by setting the stage of what exactly we're talking about. So what do we mean when we say AI or artificial intelligence?   Speaker 1  04:37 Well, I'd say the first thing to keep in mind is that it is neither artificial nor intelligence. It's actually composites of many human hands making it. And of course, it's not truly intelligent either. I think there's at least two definitions for the layman's purposes. One is statistical machine learning. You know that is the previous generation of AI, we could say, doing deep, deep statistical analysis, looking for patterns fitting to. Patterns doing prediction. There's a great book, actually, by some ut professors at monk called prediction machines, which that was a great way of thinking about machine learning and sense of being able to do large scale prediction at scale. And that's how I imagine hydro, Ottawa and others are using this to model out network efficiencies and predictive maintenance and all these great uses. And then the newer, trendier version, of course, is large language models, your quads, your chat gpts, your others, which are based on transformer models, which is a whole series of work that many Canadians worked on, including Geoffrey Hinton and others. And this is what has produced the seemingly magical abilities to produce text and images on demand and large scale analysis. And that is the real power hungry beast that we think of as AI today.   Trevor Freeman  05:42 Right! So different types of AI. I just want to pick those apart a little bit. When you say machine learning, it's kind of being able to repetitively look at something or a set of data over and over and over again. And because it's a computer, it can do it, you know, 1000s or millions of times a second, and learn what, learn how to make decisions based on that. Is that fair to say?   Greg Lindsay  06:06 That's fair to say. And the thing about that is, is like you can train it on an output that you already know, large language models are just vomiting up large parts of pattern recognition, which, again, can feel like magic because of our own human brains doing it. But yeah, machine learning, you can, you know, you can train it to achieve outcomes. You can overfit the models where it like it's trained too much in the past, but, yeah, it's a large scale probabilistic prediction of things, which makes it so powerful for certain uses.   Trevor Freeman  06:26 Yeah, one of the neatest explanations or examples I've seen is, you know, you've got these language models where it seems like this AI, whether it's chat, DBT or whatever, is writing really well, like, you know, it's improving our writing. It's making things sound better. And it seems like it's got a brain behind it, but really, what it's doing is it's going out there saying, What have millions or billions of other people written like this? And how can I take the best things of that? And it can just do that really quickly, and it's learned that that model, so that's super helpful to understand what we're talking about here. So obviously, in your work, you look at the impact of AI on a number of different aspects of our world, our society. What we're talking about here today is particularly the impact of AI when it comes to energy. And I'd like to kind of bucketize our conversation a little bit today, and the first area I want to look at is, what will ai do when it comes to energy for the average Canadian? Let's say so in my home, in my business, how I move around? So I'll start with that. It's kind of a high level conversation. Let's start talking about the different ways that AI will impact you know that our average listener here?   Speaker 1  07:41 Um, yeah, I mean, we can get into a discussion about what it means for the average Canadian, and then also, of course, what it means for Canada in the world as well, because I just got back from South by Southwest in Austin, and, you know, for the second, third year in row, AI was on everyone's lips. But really it's the energy. Is the is the bottleneck. It's the forcing factor. Everyone talked about it, the fact that all the data centers we can get into that are going to be built in the direction of energy. So, so, yeah, energy holds the key to the puzzle there. But, um, you know, from the average gain standpoint, I mean, it's a question of, like, how will these tools actually play out, you know, inside of the companies that are using this, right? And that was a whole other discussion too. It's like, okay, we've been playing around with these tools for two, three years now, what do they actually use to deliver value of your large language model? So I've been saying this for 10 years. If you look at the older stuff you could start with, like smart thermostats, even look at the potential savings of this, of basically using machine learning to optimize, you know, grid optimize patterns of usage, understanding, you know, the ebbs and flows of the grid, and being able to, you know, basically send instructions back and forth. So you know there's stats. You know that, basically you know that you know you could save 10 to 25% of electricity bills. You know, based on this, you could reduce your heating bills by 10 to 15% again, it's basically using this at very large scales of the scale of hydro Ottawa, bigger, to understand this sort of pattern usage. But even then, like understanding like how weather forecasts change, and pulling that data back in to basically make fine tuning adjustments to the thermostats and things like that. So that's one stands out. And then, you know, we can think about longer term. I mean, yeah, lots have been lots has been done on imagining, like electric mobility, of course, huge in Canada, and what that's done to sort of change the overall energy mix virtual power plants. This is something that I've studied, and we've been writing about at Fast Company. At Fast Company beyond for 20 years, imagining not just, you know, the ability to basically, you know, feed renewable electricity back into the grid from people's solar or from whatever sources they have there, but the ability of utilities to basically go in and fine tune, to have that sort of demand shaping as well. And then I think the most interesting stuff, at least in demos, and also blockchain, which has had many theoretical uses, and I've got to see a real one. But one of the best theoretical ones was being able to create neighborhood scale utilities. Basically my cul de sac could have one, and we could trade clean electrons off of our solar panels through our batteries and home scale batteries, using Blockchain to basically balance this out. Yeah, so there's lots of potential, but yeah, it comes back to the notion of people want cheaper utility bills. I did this piece 10 years ago for the Atlantic Council on this we looked at a multi country survey, and the only reason anybody wanted a smart home, which they just were completely skeptical about, was to get those cheaper utility bills. So people pay for that.   Trevor Freeman  10:19 I think it's an important thing to remember, obviously, especially for like the nerds like me, who part of my driver is, I like that cool new tech. I like that thing that I can play with and see my data. But for most people, no matter what we're talking about here, when it comes to that next technology, the goal is make my life a little bit easier, give me more time or whatever, and make things cheaper. And I think especially in the energy space, people aren't putting solar panels on their roof because it looks great. And, yeah, maybe people do think it looks great, but they're putting it up there because they want cheaper electricity. And it's going to be the same when it comes to batteries. You know, there's that add on of resiliency and reliability, but at the end of the day, yeah, I want my bill to be cheaper. And what I'm hearing from you is some of the things we've already seen, like smart thermostats get better as AI gets better. Is that fair to say?   Greg Lindsay  11:12 Well, yeah, on the machine learning side, that you know, you get ever larger data points. This is why data is the coin of the realm. This is why there's a race to collect data on everything. Is why every business model is data collection and everything. Because, yes, not only can they get better, but of course, you know, you compile enough and eventually start finding statistical inferences you never meant to look for. And this is why I've been involved. Just as a side note, for example, of cities that have tried to implement their own data collection of electric scooters and eventually electric vehicles so they could understand these kinds of patterns, it's really the key to anything. And so it's that efficiency throughput which raises some really interesting philosophical questions, particularly about AI like, this is the whole discussion on deep seek. Like, if you make the models more efficient, do you have a Jevons paradox, which is the paradox of, like, the more energy you save through efficiency, the more you consume because you've made it cheaper. So what does this mean that you know that Canadian energy consumption is likely to go up the cleaner and cheaper the electrons get. It's one of those bedeviling sort of functions.   Trevor Freeman  12:06 Yeah interesting. That's definitely an interesting way of looking at it. And you referenced this earlier, and I will talk about this. But at the macro level, the amount of energy needed for these, you know, AI data centers in order to do all this stuff is, you know, we're seeing that explode.   Greg Lindsay  12:22 Yeah, I don't know that. Canadian statistics my fingertips, but I brought this up at Fast Company, like, you know, the IEA, I think International Energy Agency, you know, reported a 4.3% growth in the global electricity grid last year, and it's gonna be 4% this year. That does not sound like much. That is the equivalent of Japan. We're adding in Japan every year to the grid for at least the next two to three years. Wow. And that, you know, that's global South, air conditioning and other needs here too, but that the data centers on top is like the tip of the spear. It's changed all this consumption behavior, where now we're seeing mothballed coal plants and new plants and Three Mile Island come back online, as this race for locking up electrons, for, you know, the race to build God basically, the number of people in AI who think they're literally going to build weekly godlike intelligences, they'll, they won't stop at any expense. And so they will buy as much energy as they can get.   Trevor Freeman  13:09 Yeah, well, we'll get to that kind of grid side of things in a minute. Let's stay at the home first. So when I look at my house, we talked about smart thermostats. We're seeing more and more automation when it comes to our homes. You know, we can program our lights and our door locks and all this kind of stuff. What does ai do in order to make sure that stuff is contributing to efficiency? So I want to do all those fun things, but use the least amount of energy possible.   Greg Lindsay  13:38 Well, you know, I mean, there's, again, there's various metrics there to basically, sort of, you know, program your lights. And, you know, Nest is, you know, Google. Nest is an example of this one, too, in terms of basically learning your ebb and flow and then figuring out how to optimize it over the course of the day. So you can do that, you know, we've seen, again, like the home level. We've seen not only the growth in solar panels, but also in those sort of home battery integration. I was looking up that Tesla Powerwall was doing just great in Canada, until the last couple of months. I assume so, but I it's been, it's been heartening to see that, yeah, this sort of embrace of home energy integration, and so being able to level out, like, peak flow off the grid, so Right? Like being able to basically, at moments of peak demand, to basically draw on your own local resources and reduce that overall strain. So there's been interesting stuff there. But I want to focus for a moment on, like, terms of thinking about new uses. Because, you know, again, going back to how AI will influence the home and automation. You know, Jensen Wong of Nvidia has talked about how this will be the year of robotics. Google, Gemini just applied their models to robotics. There's startups like figure there's, again, Tesla with their optimists, and, yeah, there's a whole strain of thought that we're about to see, like home robotics, perhaps a dream from like, the 50s. I think this is a very Disney World esque Epcot Center, yeah, with this idea of jetsy, yeah, of having home robots doing work. You can see concept videos a figure like doing the actual vacuuming. I mean, we invented Roombas to this, but, but it also, I, you know, I've done a lot of work. Our own thinking around electric delivery vehicles. We could talk a lot about drones. We could talk a lot about the little robots that deliver meals on the sidewalk. There's a lot of money in business models about increasing access and people needing to maybe move less, to drive and do all these trips to bring it to them. And that's a form of home automation, and that's all batteries. That is all stuff off the grid too. So AI is that enable those things, these things that can think and move and fly and do stuff and do services on your behalf, and so people might find this huge new source of demand from that as well.   Trevor Freeman  15:29 Yeah, that's I hadn't really thought about the idea that all the all these sort of conveniences and being able to summon them to our homes cause us to move around less, which also impacts transportation, which is another area I kind of want to get to. And I know you've, you've talked a little bit about E mobility, so where do you see that going? And then, how does AI accelerate that transition, or accelerate things happening in that space?   Greg Lindsay  15:56 Yeah, I mean, I again, obviously the EV revolutions here Canada like, one of the epicenters Canada, Norway there, you know, that still has the vehicle rebates and things. So, yeah. I mean, we've seen, I'm here in Montreal, I think we've got, like, you know, 30 to 13% of sales is there, and we've got our 2035, mandate. So, yeah. I mean, you see this push, obviously, to harness all of Canada's clean, mostly hydro electricity, to do this, and, you know, reduce its dependence on fossil fuels for either, you know, Climate Change Politics reasons, but also just, you know, variable energy prices. So all of that matters. But, you know, I think the key to, like the electric mobility revolution, again, is, is how it's going to merge with AI and it's, you know, it's not going to just be the autonomous, self driving car, which is sort of like the horseless carriage of autonomy. It's gonna be all this other stuff, you know. My friend Dan Hill was in China, and he was thinking about like, electric scooters, you know. And I mentioned this to hydro Ottawa, like, the electric scooter is one of the leading causes of how we've taken internal combustion engine vehicles offline across the world, mostly in China, and put people on clean electric motors. What happens when you take those and you make those autonomous, and you do it with, like, deep seek and some cameras, and you sort of weld it all together so you could have a world of a lot more stuff in motion, and not just this world where we have to drive as much. And that, to me, is really exciting, because that changes, like urban patterns, development patterns, changes how you move around life, those kinds of things as well. That's that might be a little farther out, but, but, yeah, this sort of like this big push to build out domestic battery industries, to build charging points and the sort of infrastructure there, I think it's going to go in direction, but it doesn't look anything like, you know, a sedan or an SUV that just happens to be electric.   Trevor Freeman  17:33 I think that's a the step change is change the drive train of the existing vehicles we have, you know, an internal combustion to a battery. The exponential change is exactly what you're saying. It's rethinking this.   Greg Lindsay  17:47 Yeah, Ramesam and others have pointed out, I mean, again, like this, you know, it's, it's really funny to see this pushback on EVs, you know. I mean, I love a good, good roar of an internal combustion engine myself, but, but like, you know, Ramesam was an energy analyst, has pointed out that, like, you know, EVS were more cost competitive with ice cars in 2018 that's like, nearly a decade ago. And yeah, the efficiency of electric motors, particularly regenerative braking and everything, it just blows the cost curves away of ice though they will become the equivalent of keeping a thorough brat around your house kind of thing. Yeah, so, so yeah, it's just, it's that overall efficiency of the drive train. And that's the to me, the interesting thing about both electric motors, again, of autonomy is like, those are general purpose technologies. They get cheaper and smaller as they evolve under Moore's Law and other various laws, and so they get to apply to more and more stuff.   Trevor Freeman  18:32 Yeah. And then when you think about once, we kind of figure that out, and we're kind of already there, or close to it, if not already there, then it's opening the door to those other things you're talking about. Of, well, do we, does everybody need to have that car in their driveway? Are we rethinking how we're actually just doing transportation in general? And do we need a delivery truck? Or can it be delivery scooter? Or what does that look like?   Greg Lindsay  18:54 Well, we had a lot of those discussions for a long time, particularly in the mobility space, right? Like, and like ride hailing, you know, like, oh, you know, that was always the big pitch of an Uber is, you know, your car's parked in your driveway, like 94% of the time. You know, what happens if you're able to have no mobility? Well, we've had 15 years of Uber and these kinds of services, and we still have as many cars. But people are also taking this for mobility. It's additive. And I raised this question, this notion of like, it's just sort of more and more, more options, more availability, more access. Because the same thing seems to be going on with energy now too. You know, listeners been following along, like the conversation in Houston, you know, a week or two ago at Sarah week, like it's the whole notion of energy realism. And, you know, there's the new book out, more is more is more, which is all about the fact that we've never had an energy transition. We just kept piling up. Like the world burned more biomass last year than it did in 1900 it burned more coal last year than it did at the peak of coal. Like these ages don't really end. They just become this sort of strata as we keep piling energy up on top of it. And you know, I'm trying to sound the alarm that we won't have an energy transition. What that means for climate change? But similar thing, it's. This rebound effect, the Jevons paradox, named after Robert Stanley Jevons in his book The question of coal, where he noted the fact that, like, England was going to need more and more coal. So it's a sobering thought. But, like, I mean, you know, it's a glass half full, half empty in many ways, because the half full is like increasing technological options, increasing changes in lifestyle. You can live various ways you want, but, but, yeah, it's like, I don't know if any of it ever really goes away. We just get more and more stuff,   Trevor Freeman  20:22 Exactly, well. And, you know, to hear you talk about the robotics side of things, you know, looking at the home, yeah, more, definitely more. Okay, so we talked about kind of home automation. We've talked about transportation, how we get around. What about energy management? And I think about this at the we'll talk about the utility side again in a little bit. But, you know, at my house, or for my own personal use in my life, what is the role of, like, sort of machine learning and AI, when it comes to just helping me manage my own energy better and make better decisions when it comes to energy? ,   Greg Lindsay  20:57 Yeah, I mean, this is where it like comes in again. And you know, I'm less and less of an expert here, but I've been following this sort of discourse evolve. And right? It's the idea of, you know, yeah, create, create. This the set of tools in your home, whether it's solar panels or batteries or, you know, or Two Way Direct, bi directional to the grid, however it works. And, yeah, and people, you know, given this option of savings, and perhaps, you know, other marketing messages there to curtail behavior. You know? I mean, I think the short answer the question is, like, it's an app people want, an app that tell them basically how to increase the efficiency of their house or how to do this. And I should note that like, this has like been the this is the long term insight when it comes to like energy and the clean tech revolution. Like my Emery Levin says this great line, which I've always loved, which is, people don't want energy. They want hot showers and cold beer. And, you know, how do you, how do you deliver those things through any combination of sticks and carrots, basically like that. So, So, hence, why? Like, again, like, you know, you know, power walls, you know, and, and, and, you know, other sort of AI controlled batteries here that basically just sort of smooth out to create the sort of optimal flow of electrons into your house, whether that's coming drive directly off the grid or whether it's coming out of your backup and then recharging that the time, you know, I mean, the surveys show, like, more than half of Canadians are interested in this stuff, you know, they don't really know. I've got one set here, like, yeah, 61% are interested in home energy tech, but only 27 understand, 27% understand how to optimize them. So, yeah. So people need, I think, perhaps, more help in handing that over. And obviously, what's exciting for the, you know, the utility level is, like, you know, again, aggregate all that individual behavior together and you get more models that, hope you sort of model this out, you know, at both greater scale and ever more fine grained granularity there. So, yeah, exactly. So I think it's really interesting, you know, I don't know, like, you know, people have gamified it. What was it? I think I saw, like, what is it? The affordability fund trust tried to basically gamify AI energy apps, and it created various savings there. But a lot of this is gonna be like, as a combination like UX design and incentives design and offering this to people too, about, like, why you should want this and money's one reason, but maybe there's others.   Trevor Freeman  22:56 Yeah, and we talk about in kind of the utility sphere, we talk about how customers, they don't want all the data, and then have to go make their own decisions. They want those decisions to be made for them, and they want to say, look, I want to have you tell me the best rate plan to be on. I want to have you automatically switch me to the best rate plan when my consumption patterns change and my behavior chat patterns change. That doesn't exist today, but sort of that fast decision making that AI brings will let that become a reality sometime in the future,   Greg Lindsay  23:29 And also in theory, this is where LLMs come into play. Is like, you know, to me, what excites me the most about that is the first time, like having a true natural language interface, like having being able to converse with an, you know, an AI, let's hopefully not chat bot. I think we're moving out on chat bots, but some sort of sort of instantiation of an AI to be like, what plan should I be on? Can you tell me what my behavior is here and actually having some sort of real language conversation with it? Not decision trees, not event statements, not chat bots.   Trevor Freeman  23:54 Yeah, absolutely. Okay, so we've kind of teased around this idea of looking at the utility levels, obviously, at hydro Ottawa, you referenced this just a minute ago. We look at all these individual cases, every home that has home automation or solar storage, and we want to aggregate that and understand what, what can we do to help manage the grid, help manage all these new energy needs, shift things around. So let's talk a little bit about the role that AI can play at the utility scale in helping us manage the grid.   Greg Lindsay  24:28 All right? Well, yeah, there's couple ways to approach it. So one, of course, is like, let's go back to, like, smart meters, right? Like, and this is where I don't know how many hydro Ottawa has, but I think, like, BC Hydro has like, 2 million of them, sometimes they get politicized, because, again, this gets back to this question of, like, just, just how much nanny state you want. But, you know, you know, when you reach the millions, like, yeah, you're able to get that sort of, you know, obviously real time, real time usage, real time understanding. And again, if you can do that sort of grid management piece where you can then push back, it's visual game changer. But, but yeah. I mean, you know, yeah, be. See hydro is pulling in. I think I read like, like, basically 200 million data points a day. So that's a lot to train various models on. And, you know, I don't know exactly the kind of savings they have, but you can imagine there, whether it's, you know, them, or Toronto Hydro, or hydro Ottawa and others creating all these monitoring points. And again, this is the thing that bedells me, by the way, just philosophically about modern life, the notion of like, but I don't want you to be collecting data off me at all times, but look at what you can do if you do It's that constant push pull of some sort of combination of privacy and agency, and then just the notion of like statistics, but, but there you are, but, but, yeah, but at the grid level, then I mean, like, yeah. I mean, you can sort of do the same thing where, like, you know, I mean, predictive maintenance is the obvious one, right? I have been writing about this for large enterprise software companies for 20 years, about building these data points, modeling out the lifetime of various important pieces equipment, making sure you replace them before you have downtime and terrible things happen. I mean, as we're as we're discussing this, look at poor Heathrow Airport. I am so glad I'm not flying today, electrical substation blowing out two days of the world's most important hub offline. So that's where predictive maintenance comes in from there. And, yeah, I mean, I, you know, I again, you know, modeling out, you know, energy flow to prevent grid outages, whether that's, you know, the ice storm here in Quebec a couple years ago. What was that? April 23 I think it was, yeah, coming up in two years. Or our last ice storm, we're not the big one, but that one, you know, where we had big downtime across the grid, like basically monitoring that and then I think the other big one for AI is like, Yeah, is this, this notion of having some sort of decision support as well, too, and sense of, you know, providing scenarios and modeling out at scale the potential of it? And I don't think, I don't know about this in a grid case, but the most interesting piece I wrote for Fast Company 20 years ago was an example, ago was an example of this, which was a fledgling air taxi startup, but they were combining an agent based model, so using primitive AI to create simple rules for individual agents and build a model of how they would behave, which you can create much more complex models. Now we could talk about agents and then marrying that to this kind of predictive maintenance and operations piece, and marrying the two together. And at that point, you could have a company that didn't exist, but that could basically model itself in real time every day in the life of what it is. You can create millions and millions and millions of Monte Carlo operations. And I think that's where perhaps both sides of AI come together truly like the large language models and agents, and then the predictive machine learning. And you could basically hydro or others, could build this sort of deep time machine where you can model out all of these scenarios, millions and millions of years worth, to understand how it flows and contingencies as well. And that's where it sort of comes up. So basically something happens. And like, not only do you have a set of plans, you have an AI that has done a million sets of these plans, and can imagine potential next steps of this, or where to deploy resources. And I think in general, that's like the most powerful use of this, going back to prediction machines and just being able to really model time in a way that we've never had that capability before. And so you probably imagine the use is better than I.   Trevor Freeman  27:58 Oh man, it's super fascinating, and it's timely. We've gone through the last little while at hydro Ottawa, an exercise of updating our playbook for emergencies. So when there are outages, what kind of outage? What's the sort of, what are the trigger points to go from, you know, what we call a level one to a level two to level three. But all of this is sort of like people hours that are going into that, and we're thinking through these scenarios, and we've got a handful of them, and you're just kind of making me think, well, yeah, what if we were able to model that out? And you bring up this concept of agents, let's tease into that a little bit explain what you mean when you're talking about agents.   Greg Lindsay  28:36 Yeah, so agentic systems, as the term of art is, AI instantiations that have some level of autonomy. And the archetypal example of this is the Stanford Smallville experiment, where they took basically a dozen large language models and they gave it an architecture where they could give it a little bit of backstory, ruminate on it, basically reflect, think, decide, and then act. And in this case, they used it to plan a Valentine's Day party. So they played out real time, and the LLM agents, like, even played matchmaker. They organized the party, they sent out invitations, they did these sorts of things. Was very cute. They put it out open source, and like, three weeks later, another team of researchers basically put them to work writing software programs. So you can see they organized their own workflow. They made their own decisions. There was a CTO. They fact check their own work. And this is evolving into this grand vision of, like, 1000s, millions of agents, just like, just like you spin up today an instance of Amazon Web Services to, like, host something in the cloud. You're going to spin up an agent Nvidia has talked about doing with healthcare and others. So again, coming back to like, the energy implications of that, because it changes the whole pattern. Instead of huge training runs requiring giant data centers. You know, it's these agents who are making all these calls and doing more stuff at the edge, but, um, but yeah, in this case, it's the notion of, you know, what can you put the agents to work doing? And I bring this up again, back to, like, predictive maintenance, or for hydro Ottawa, there's another amazing paper called virtual in real life. And I chatted with one of the principal authors. It created. A half dozen agents who could play tour guide, who could direct you to a coffee shop, who do these sorts of things, but they weren't doing it in a virtual world. They were doing it in the real one. And to do it in the real world, you took the agent, you gave them a machine vision capability, so added that model so they could recognize objects, and then you set them loose inside a digital twin of the world, in this case, something very simple, Google Street View. And so in the paper, they could go into like New York Central Park, and they could count every park bench and every waste bin and do it in seconds and be 99% accurate. And so agents were monitoring the landscape. Everything's up, because you can imagine this in the real world too, that we're going to have all the time. AIS roaming the world, roaming these virtual maps, these digital twins that we build for them and constantly refresh from them, from camera data, from sensor data, from other stuff, and tell us what this is. And again, to me, it's really exciting, because that's finally like an operating system for the internet of things that makes sense, that's not so hardwired that you can ask agents, can you go out and look for this for me? Can you report back on this vital system for me? And they will be able to hook into all of these kinds of representations of real time data where they're emerging from, and give you aggregated reports on this one. And so, you know, I think we have more visibility in real time into the real world than we've ever had before.   Trevor Freeman  31:13 Yeah, I want to, I want to connect a few dots here for our listeners. So bear with me for a second. Greg. So for our listeners, there was a podcast episode we did about a year ago on our grid modernization roadmap, and we talked about one of the things we're doing with grid modernization at hydro Ottawa and utilities everywhere doing this is increasing the sensor data from our grid. So we're, you know, right now, we've got visibility sort of to our station level, sometimes one level down to some switches. But in the future, we'll have sensors everywhere on our grid, every switch, every device on our grid, will have a sensor gathering data. Obviously, you know, like you said earlier, millions and hundreds of millions of data points every second coming in. No human can kind of make decisions on that, and what you're describing is, so now we've got all this data points, we've got a network of information out there, and you could create this agent to say, Okay, you are. You're my transformer agent. Go out there and have a look at the run temperature of every transformer on the network, and tell me where the anomalies are, which ones are running a half a degree or two degrees warmer than they should be, and report back. And now I know hydro Ottawa, that the controller, the person sitting in the room, knows, Hey, we should probably go roll a truck and check on that transformer, because maybe it's getting end of life. Maybe it's about to go and you can do that across the entire grid. That's really fascinating,   Greg Lindsay  32:41 And it's really powerful, because, I mean, again, these conversations 20 years ago at IoT, you know you're going to have statistical triggers, and you would aggregate these data coming off this, and there was a lot of discussion there, but it was still very, like hardwired, and still very Yeah, I mean, I mean very probabilistic, I guess, for a word that went with agents like, yeah, you've now created an actual thing that can watch those numbers and they can aggregate from other systems. I mean, lots, lots of potential there hasn't quite been realized, but it's really exciting stuff. And this is, of course, where that whole direction of the industry is flowing. It's on everyone's lips, agents.   Trevor Freeman  33:12 Yeah. Another term you mentioned just a little bit ago that I want you to explain is a digital twin. So tell us what a digital twin is.   Greg Lindsay  33:20 So a digital twin is, well, the matrix. Perhaps you could say something like this for listeners of a certain age, but the digital twin is the idea of creating a model of a piece of equipment, of a city, of the world, of a system. And it is, importantly, it's physics based. It's ideally meant to represent and capture the real time performance of the physical object it's based on, and in this digital representation, when something happens in the physical incarnation of it, it triggers a corresponding change in state in the digital twin, and then vice versa. In theory, you know, you could have feedback loops, again, a lot of IoT stuff here, if you make changes virtually, you know, perhaps it would cause a change in behavior of the system or equipment, and the scales can change from, you know, factory equipment. Siemens, for example, does a lot of digital twin work on this. You know, SAP, big, big software companies have thought about this. But the really crazy stuff is, like, what Nvidia is proposing. So first they started with a digital twin. They very modestly called earth two, where they were going to model all the weather and climate systems of the planet down to like the block level. There's a great demo of like Jensen Wong walking you through a hurricane, typhoons striking the Taipei, 101, and how, how the wind currents are affecting the various buildings there, and how they would change that more recently, what Nvidia is doing now is, but they just at their big tech investor day, they just partner with General Motors and others to basically do autonomous cars. And what's crucial about it, they're going to train all those autonomous vehicles in an NVIDIA built digital twin in a matrix that will act, that will be populated by agents that will act like people, people ish, and they will be able to run millions of years of autonomous vehicle training in this and this is how they plan to catch up to. Waymo or, you know, if Tesla's robotaxis are ever real kind of thing, you know, Waymo built hardwired like trained on real world streets, and that's why they can only operate in certain operating domain environments. Nvidia is gambling that with large language models and transformer models combined with digital twins, you can do these huge leapfrog effects where you can basically train all sorts of synthetic agents in real world behavior that you have modeled inside the machine. So again, that's the kind, that's exactly the kind of, you know, environment that you're going to train, you know, your your grid of the future on for modeling out all your contingency scenarios.   Trevor Freeman  35:31 Yeah, again, you know, for to bring this to the to our context, a couple of years ago, we had our the direcco. It's a big, massive windstorm that was one of the most damaging storms that we've had in Ottawa's history, and we've made some improvements since then, and we've actually had some great performance since then. Imagine if we could model that derecho hitting our grid from a couple different directions and figure out, well, which lines are more vulnerable to wind speeds, which lines are more vulnerable to flying debris and trees, and then go address that and do something with that, without having to wait for that storm to hit. You know, once in a decade or longer, the other use case that we've talked about on this one is just modeling what's happening underground. So, you know, in an urban environments like Ottawa, like Montreal, where you are, there's tons of infrastructure under the ground, sewer pipes, water pipes, gas lines, electrical lines, and every time the city wants to go and dig up a road and replace that road, replace that sewer, they have to know what's underground. We want to know what's underground there, because our infrastructure is under there. As the electric utility. Imagine if you had a model where you can it's not just a map. You can actually see what's happening underground and determine what makes sense to go where, and model out these different scenarios of if we underground this line or that line there. So lots of interesting things when it comes to a digital twin. The digital twin and Agent combination is really interesting as well, and setting those agents loose on a model that they can play with and understand and learn from. So talk a little bit about.   Greg Lindsay  37:11 that. Yeah. Well, there's a couple interesting implications just the underground, you know, equipment there. One is interesting because in addition to, like, you know, you know, having captured that data through mapping and other stuff there, and having agents that could talk about it. So, you know, next you can imagine, you know, I've done some work with augmented reality XR. This is sort of what we're seeing again, you know, meta Orion has shown off their concept. Google's brought back Android XR. Meta Ray Bans are kind of an example of this. But that's where this data will come from, right? It's gonna be people wearing these wearables in the world, capturing all this camera data and others that's gonna be fed into these digital twins to refresh them. Meta has a particularly scary demo where you know where you the user, the wearer leaves their keys on their coffee table and asks metas, AI, where their coffee where their keys are, and it knows where they are. It tells them and goes back and shows them some data about it. I'm like, well, to do that, meta has to have a complete have a complete real time map of your entire house. What could go wrong. And that's what all these companies aspire to of reality. So, but yeah, you can imagine, you know, you can imagine a worker. And I've worked with a startup out of urban X, a Canada startup, Canadian startup called context steer. And you know, is the idea of having real time instructions and knowledge manuals available to workers, particularly predictive maintenance workers and line workers. So you can imagine a technician dispatched to deal with this cut in the pavement and being able to see with XR and overlay of like, what's actually under there from the digital twin, having an AI basically interface with what's sort of the work order, and basically be your assistant that can help you walk you through it, in case, you know, you run into some sort of complication there, hopefully that won't be, you know, become like, turn, turn by turn, directions for life that gets into, like, some of the questions about what we wanted out of our workforce. But there's some really interesting combinations of those things, of like, you know, yeah, mapping a world for AIS, ais that can understand it, that could ask questions in it, that can go probe it, that can give you advice on what to do in it. All those things are very close for good and for bad.   Trevor Freeman  39:03 You kind of touched on my next question here is, how do we make sure this is all in the for good or mostly in the for good category, and not the for bad category you talk in one of the papers that you wrote about, you know, AI and augmented reality in particular, really expanding the attack surface for malicious actors. So we're creating more opportunities for whatever the case may be, if it's hacking or if it's malware, or if it's just, you know, people that are up to nefarious things. How do we protect against that? How do we make sure that our systems are safe that the users of our system. So in our case, our customers, their data is safe, their the grid is safe. How do we make sure that?   Greg Lindsay  39:49 Well, the very short version is, whatever we're spending on cybersecurity, we're not spending enough. And honestly, like everybody who is no longer learning to code, because we can be a quad or ChatGPT to do it, I. Is probably there should be a whole campaign to repurpose a big chunk of tech workers into cybersecurity, into locking down these systems, into training ethical systems. There's a lot of work to be done there. But yeah, that's been the theme for you know that I've seen for 10 years. So that paper I mentioned about sort of smart homes, the Internet of Things, and why people would want a smart home? Well, yeah, the reason people were skeptical is because they saw it as basically a giant attack vector. My favorite saying about this is, is, there's a famous Arthur C Clarke quote that you know, any sufficiently advanced technology is magic Tobias Ravel, who works at Arup now does their head of foresight has this great line, any sufficiently advanced hacking will feel like a haunting meaning. If you're in a smart home that's been hacked, it will feel like you're living in a haunted house. Lights will flicker on and off, and systems will turn and go haywire. It'll be like you're living with a possessed house. And that's true of cities or any other systems. So we need to do a lot of work on just sort of like locking that down and securing that data, and that is, you know, we identified, then it has to go all the way up and down the supply chain, like you have to make sure that there is, you know, a chain of custody going back to when components are made, because a lot of the attacks on nest, for example. I mean, you want to take over a Google nest, take it off the wall and screw the back out of it, which is a good thing. It's not that many people are prying open our thermostats, but yeah, if you can get your hands on it, you can do a lot of these systems, and you can do it earlier in the supply chain and sorts of infected pieces and things. So there's a lot to be done there. And then, yeah, and then, yeah, and then there's just a question of, you know, making sure that the AIs are ethically trained and reinforced. And, you know, a few people want to listeners, want to scare themselves. You can go out and read some of the stuff leaking out of anthropic and others and make clot of, you know, models that are trying to hide their own alignments and trying to, like, basically copy themselves. Again, I don't believe that anything things are alive or intelligent, but they exhibit these behaviors as part of the probabilistic that's kind of scary. So there's a lot to be done there. But yeah, we worked on this, the group that I do foresight with Arizona State University threat casting lab. We've done some work for the Secret Service and for NATO and, yeah, there'll be, you know, large scale hackings on infrastructure. Basically the equivalent can be the equivalent can be the equivalent to a weapons of mass destruction attack. We saw how Russia targeted in 2014 the Ukrainian grid and hacked their nuclear plans. This is essential infrastructure more important than ever, giving global geopolitics say the least, so that needs to be under consideration. And I don't know, did I scare you enough yet? What are the things we've talked through here that, say the least about, you know, people being, you know, tricked and incepted by their AI girlfriends, boyfriends. You know people who are trying to AI companions. I can't possibly imagine what could go wrong there.   Trevor Freeman  42:29 I mean, it's just like, you know, I don't know if this is 15 or 20, or maybe even 25 years ago now, like, it requires a whole new level of understanding when we went from a completely analog world to a digital world and living online, and people, I would hope, to some degree, learned to be skeptical of things on the internet and learned that this is that next level. We now need to learn the right way of interacting with this stuff. And as you mentioned, building the sort of ethical code and ethical guidelines into these language models into the AI. Learning is pretty critical for our listeners. We do have a podcast episode on cybersecurity. I encourage you to go listen to it and reassure yourself that, yes, we are thinking about this stuff. And thanks, Greg, you've given us lots more to think about in that area as well. When it comes to again, looking back at utilities and managing the grid, one thing we're going to see, and we've talked a lot about this on the show, is a lot more distributed generation. So we're, you know, the days of just the central, large scale generation, long transmission lines that being the only generation on the grid. Those days are ending. We're going to see more distributed generations, solar panels on roofs, batteries. How does AI help a utility manage those better, interact with those better get more value out of those things?   Greg Lindsay  43:51 I guess that's sort of like an extension of some of the trends I was talking about earlier, which is the notion of, like, being able to model complex systems. I mean, that's effectively it, right, like you've got an increasingly complex grid with complex interplays between it, you know, figuring out how to basically based on real world performance, based on what you're able to determine about where there are correlations and codependencies in the grid, where point where choke points could emerge, where overloading could happen, and then, yeah, basically, sort of building that predictive system to Basically, sort of look for what kind of complex emergent behavior comes out of as you keep adding to it and and, you know, not just, you know, based on, you know, real world behavior, but being able to dial that up to 11, so to speak, and sort of imagine sort of these scenarios, or imagine, you know, what, what sort of long term scenarios look like in terms of, like, what the mix, how the mix changes, how the geography changes, all those sorts of things. So, yeah, I don't know how that plays out in the short term there, but it's this combination, like I'm imagining, you know, all these different components playing SimCity for real, if one will.   Trevor Freeman  44:50 And being able to do it millions and millions and millions of times in a row, to learn every possible iteration and every possible thing that might happen. Very cool. Okay. So last kind of area I want to touch on you did mention this at the beginning is the the overall power implications of of AI, of these massive data centers, obviously, at the utility, that's something we are all too keenly aware of. You know, the stat that that I find really interesting is a normal Google Search compared to, let's call it a chat GPT search. That chat GPT search, or decision making, requires 10 times the amount of energy as that just normal, you know, Google Search looking out from a database. Do you see this trend? I don't know if it's a trend. Do you see this continuing like AI is just going to use more power to do its decision making, or will we start to see more efficiencies there? And the data centers will get better at doing what they do with less energy. What is the what does the future look like in that sector?   Greg Lindsay  45:55 All the above. It's more, is more, is more! Is the trend, as far as I can see, and every decision maker who's involved in it. And again, Jensen Wong brought this up at the big Nvidia Conference. That basically he sees the only constraint on this continuing is availability of energy supplies keep it going and South by Southwest. And in some other conversations I've had with bandwidth companies, telcos, like laying 20 lumen technologies, United States is laying 20,000 new miles of fiber optic cables. They've bought 10% of Corning's total fiber optic output for the next couple of years. And their customers are the hyperscalers. They're, they're and they're rewiring the grid. That's why, I think it's interesting. This has something, of course, for thinking about utilities, is, you know, the point to point Internet of packet switching and like laying down these big fiber routes, which is why all the big data centers United States, the majority of them, are in north of them are in Northern Virginia, is because it goes back to the network hub there. Well, lumen is now wiring this like basically this giant fabric, this patchwork, which can connect data center to data center, and AI to AI and cloud to cloud, and creating this entirely new environment of how they are all directly connected to each other through some of this dedicated fiber. And so you can see how this whole pattern is changing. And you know, the same people are telling me that, like, yeah, the where they're going to build this fiber, which they wouldn't tell me exactly where, because it's very tradable, proprietary information, but, um, but it's following the energy supplies. It's following the energy corridors to the American Southwest, where there's solar and wind in Texas, where you can get natural gas, where you can get all these things. It will follow there. And I of course, assume the same is true in Canada as we build out our own sovereign data center capacity for this. So even, like deep seek, for example, you know, which is, of course, the hyper efficient Chinese model that spooked the markets back in January. Like, what do you mean? We don't need a trillion dollars in capex? Well, everyone's quite confident, including again, Jensen Wong and everybody else that, yeah, the more efficient models will increase this usage. That Jevons paradox will play out once again, and we'll see ever more of it. To me, the question is, is like as how it changes? And of course, you know, you know, this is a bubble. Let's, let's, let's be clear, data centers are a bubble, just like railroads in 1840 were a bubble. And there will be a bust, like not everyone's investments will pencil out that infrastructure will remain maybe it'll get cheaper. We find new uses for it, but it will, it will eventually bust at some point and that's what, to me, is interesting about like deep seeking, more efficient models. Is who's going to make the wrong investments in the wrong places at the wrong time? But you know, we will see as it gathers force and agents, as I mentioned. You know, they don't require, as much, you know, these monstrous training runs at City sized data centers. You know, meta wanted to spend $200 billion on a single complex, the open AI, Microsoft, Stargate, $500 billion Oracle's. Larry Ellison said that $100 billion is table stakes, which is just crazy to think about. And, you know, he's permitting three nukes on site. So there you go. I mean, it'll be fascinating to see if we have a new generation of private, private generation, right, like, which is like harkening all the way back to, you know, the early electrical grid and companies creating their own power plants on site, kind of stuff. Nicholas Carr wrote a good book about that one, about how we could see from the early electrical grid how the cloud played out. They played out very similarly. The AI cloud seems to be playing out a bit differently. So, so, yeah, I imagine that as well, but, but, yeah, well, inference happen at the edge. We need to have more distributed generation, because you're gonna have AI agents that are going to be spending more time at the point of request, whether that's a laptop or your phone or a light post or your autonomous vehicle, and it's going to need more of that generation and charging at the edge. That, to me, is the really interesting question. Like, you know, when these current generation models hit their limits, and just like with Moore's law, like, you know, you have to figure out other efficiencies in designing chips or designing AIS, how will that change the relationship to the grid? And I don't think anyone knows quite for sure yet, which is why they're just racing to lock up as many long term contracts as they possibly can just get it all, core to the market.   Trevor Freeman  49:39 Yeah, it's just another example, something that comes up in a lot of different topics that we cover on this show. Everything, obviously, is always related to the energy transition. But the idea that the energy transition is really it's not just changing fuel sources, like we talked about earlier. It's not just going from internal combustion to a battery. It's rethinking the. Relationship with energy, and it's rethinking how we do things. And, yeah, you bring up, like, more private, massive generation to deal with these things. So really, that whole relationship with energy is on scale to change. Greg, this has been a really interesting conversation. I really appreciate it. Lots to pack into this short bit of time here. We always kind of wrap up our conversations with a series of questions to our guests. So I'm going to fire those at you here. And this first one, I'm sure you've got lots of different examples here, so feel free to give more than one. What is a book that you've read that you think everybody should read?   Greg Lindsay  50:35 The first one that comes to mind is actually William Gibson's Neuromancer, which is which gave the world the notion of cyberspace and so many concepts. But I think about it a lot today. William Gibson, Vancouver based author, about how much in that book is something really think about. There is a digital twin in it, an agent called the Dixie flatline. It's like a former program where they cloned a digital twin of him. I've actually met an engineering company, Thornton Thomas Eddie that built a digital twin of one of their former top experts. So like that became real. Of course, the matrix is becoming real the Turing police. Yeah, there's a whole thing in there where there's cops to make sure that AIS don't get smarter. I've been thinking a lot about, do we need Turing police? The EU will probably create them. And so that's something where you know the proof, again, of like science fiction, its ability in world building to really make you think about these implications and help for contingency planning. A lot of foresight experts I work with think about sci fi, and we use sci fi for exactly that reason. So go read some classic cyberpunk, everybody.   Trevor Freeman  51:32 Awesome. So same question. But what's a movie or a show that you think everybody should take a look at?   Greg Lindsay  51:38 I recently watched the watch the matrix with ideas, which is fun to think about, where the villains are, agents that villains are agents. That's funny how that terms come back around. But the other one was thinking about the New Yorker recently read a piece on global demographics and the fact that, you know, globally, less and less children. And it made several references to Alfonso Quons, Children of Men from 2006 which is, sadly, probably the most prescient film of the 21st Century. Again, a classic to watch, about imagining in a world where we don't where you where you lose faith in the future, what happens, and a world that is not having children as a world that's losing faith in its own future. So that's always haunted me.   Trevor Freeman  52:12 It's funny both of those movies. So I've got kids as they get, you know, a little bit older, a little bit older, we start introducing more and more movies. And I've got this list of movies that are just, you know, impactful for my own adolescent years and growing up. And both matrix and Children of Men are on that list of really good movies that I just need my kids to get a little bit older, and then I'm excited to watch with them. If someone offered you a free round trip flight anywhere in the world, where would you go?   Greg Lindsay  52:40 I would go to Venice, Italy for the Architecture Biennale, which I will be on a plane in May, going to anyway. And the theme this year is intelligence, artificial, natural and collective. So it should be interesting to see the world's brightest architects. Let's see what we got. But yeah, Venice, every time, my favorite city in the world.   Trevor Freeman  52:58 Yeah, it's pretty wonderful. Who is someone that you admire?   Greg Lindsay  53:01 Great question.

Today's episode is full of beauty, hope, healing, community, and connection. In fact, it might be one of the most feel-good, good news stories we've ever gotten to tell. Meet Dr. Richard Lerner and Dr. Elizabeth Dowling, Director and Deputy Director of the Institute for Applied Research and Youth Development at Tufts University. Like many great teachers, they can tell you to look for people who care about kids like that in school — and one school in particular: Thanda, named after the Zulu word for love. Together, these researchers are highlighting the unique curriculum and culture of Thanda, one of the most thriving and successful schools they've ever encountered. Today we learn all about this remarkable school, located in rural South Africa, which is run by some of the perhaps most irrationally caring educators on the planet. Read the transcript of this episode Subscribe to Stories of Impact wherever you listen to podcasts Find us on Facebook, Instagram, Bluesky, and YouTube Share your comments, questions and suggestions at info@storiesofimpact.org Supported by Templeton World Charity Foundation

Chief Operating Officer and General Counsel for the Dakota State University Applied Research Cooperation (DARC) Colonel Stacy Kooistra joins us for the newest episode of Cyberology. Learn all about this nonprofit affiliate of the university that is bringing cyber applied research opportunities to South Dakota, its mission and vision and the exciting opportunities on the horizon. Hosted on Acast. See acast.com/privacy for more information.

On University at Albany Week: Problem gambling can affect anyone, especially students. Laura Longo, researcher with the Center for Behavioral Health Promotion and Applied Research, explores how to combat this. Laura Longo is a licensed psychologist and researcher with the Center for Behavioral Health Promotion and Applied Research at UAlbany, as well as a senior […]

Die Internationale Raumstation ISS ist ein komplett menschengemachter Raum. Aber weil dort auch Menschen leben, findet man ein Microbiom in den verschiedenen Räumen der Station. Sam hat uns ein Paper mitgebracht, dass sich genau damit beschäftigt und erklärt zudem, was das für die Gesundheit der Astronaut:innen bedeutet.Im zweiten Teil der Folge sprechen wir über ein Thema, das uns alle betrifft: Doomscrolling. Warum fällt es so schwer, mit dem endlosen Scrollen durch schlechte Nachrichten aufzuhören? Wie wirkt sich das auf existentielle Ängste und unseren Schlaf aus?Spoiler: Doomscrolling = Schlecht.Quellen:Shabahang, R., Hwang, H., Thomas, E. F., Aruguete, M. S., McCutcheon, L. E., Orosz, G., ... & Zsila, Á. (2024). Doomscrolling evokes existential anxiety and fosters pessimism about human nature? Evidence from Iran and the United States. Computers in Human Behavior Reports, 15, 100438.Bhat, S., Pinto-Zipp, G., Upadhyay, H., & Polos, P. G. (2018). “To sleep, perchance to tweet”: in-bed electronic social media use and its associations with insomnia, daytime sleepiness, mood, and sleep duration in adults. Sleep Health, 4(2), 166-173.Satici, S. A., Gocet Tekin, E., Deniz, M. E., & Satici, B. (2023). Doomscrolling scale: Its association with personality traits, psychological distress, social media use, and wellbeing. Applied Research in Quality of Life, 18(2), 833-847.The International Space Station has a unique and extreme microbial and chemical environment driven by use patternsSalido, Rodolfo A. et al.Cell, Volume 188, Issue 7, 2022 - 2041.e23

At least one-fifth of all food produced in Canada is (avoidably) lost or wasted during harvesting, packing, storing, handling, transporting and processing. Lethbridge Polytechnic received grants in 2021 from different sources to study the issues and the speaker will provide evidence of promising results. Lethbridge Polytechnic was also on the receiving end of part of a large grant this year that will be applied towards using cellular agricultural research to improve food security across Canada well into the future. In particular, sugar beets will be used as an energy source for cell culture medium to facilitate this research to possibly diversify the long-term market for sugar beet producers in southern Alberta. Speaker: Dr. Chandra Singh Chandra Singh joined Lethbridge Polytechnic's Centre for Applied Research, Innovation and Entrepreneurship (CARIE) in 2019 as the first Applied Research Chair in Agricultural Engineering and Technology. As a Results Driven Agriculture Research (RDAR) funded research chair, Singh and his team focuses on minimizing post-harvest losses, adding value to local crops and developing products and technological solutions to meet the needs of Alberta's agri-food industry. Raised on a small family farm in India, Singh completed an undergraduate degree in Agricultural Engineering, a master's degree in Postharvest Engineering and a PhD in Biosystems Engineering, giving him a rare and sought-after combination of expertise in both equipment and technologies, as well as an understanding of the science of agriculture. Before arriving at Lethbridge Polytechnic, he was an Associate Professor of Engineering at the University of Southern Australia jointly co-appointed by Grains Research and Development Corporation (GRDC), Australia's national research organization. In November 2023, Singh appeared virtually before the Senate's Standing Committee on Agriculture and Forestry (AGFO) to share his expertise on grain drying and grain storage as it pertains to Bill C-234.  

We all want our children to be overcomers, ones who get back up when life knocks them down, and who learn from the challenges they face. In short, we want them to be resilient. Dr. Nicole Wilke joins us today to talk about what resilience is, what the Scriptures say about it, and how we can cultivate resilience in our children. Her words bring hope no matter what your children have or are facing. As Dr. Wilke and Amanda Howard write in their book Overcoming, "Adversity is not the end of the story." Our God has something to say about it. Nicole Wilke, Ph.D., is a researcher, missionary, author, and marriage and family therapist dedicated to improving care for vulnerable children and families globally. She currently serves as Director of the Christian Alliance for Orphans' Center on Applied Research for Vulnerable Children and Families, bridging research and practice to improve care for vulnerable children and families around the globe. Her passion for this work stems from her family's experience with adoption and fostering. Having lived on four continents, Nicole currently resides with her family in Peru, where they work to improve the system for children in alternative care. Learn more about the books Overcoming and Caleb Koala's Comeback Ride, also by Dr. Wilke. Follow Dr. Nicole Wilke on Instagram Learn more about the Christian Alliance for Orphans I am a Connected Families certified parent coach offering small groups for moms, individual parent coaching, and workshops. To learn more, head to https://www.lyssastoyko.com/ Help other mamas find encouragement through Moms Take Ten by rating and reviewing this show. That would be a blessing to both them and me. Thank you for your time! Want to say hello? Follow me on Facebook and Insta @lyssastoyko Email me at momstaketen@gmail.com    

When you think of rivers, you probably don't think of architects. But Derek Hoeferlin has made it his life's work to prove why you should. As an architect, chair of Landscape Architecture, and author of Way Beyond Bigness, Derek advocates for a radical shift in how we design with water—not against it.He's studied watersheds across the Mississippi, Mekong, and Rhine, learning how infrastructure, culture, and community intersect. Whether it's rethinking the 20th-century concrete-heavy mindset, or collaborating with Mekong farmers growing salt-tolerant crops as a response to rising sea levels, Derek shows that every river tells a story of both conflict and connection.To explore more about Derek Hoeferlin and his work, you can follow him on LinkedIn, visit his website, and buy a copy of his book, Way Beyond Bigness: The Need for a Watershed Architecture, through ORO Editions or Applied Research and Design Publishing.Join me, Ladina, on this green journey, and don't forget to subscribe for more insightful conversations about sustainable living and architecture and drop us a review. If you have suggestions for future guests or topics, I'd love to hear from you on my socials!Let's explore the world of green architecture, one conversation at a time.Contact: Ladina @ladinaschoepfWebsite: ⁠⁠⁠⁠buildinggreenshow.comProduced by: ⁠⁠marketyourarchitecture.com

In Episode 117 of The Astro Ben Podcast, Ben sits down with Mamta Patel Nagaraja, former Associate Chief Scientist for Exploration and Applied Research at NASA, who recently left the agency amid its office closures in February 2025. Mamta reflects on her career leading biomedical and physical sciences for the ISS, Artemis, and commercial space missions, while sharing candid insights on NASA's challenges and opportunities in 2025. From streamlining science communication to navigating a toxic work environment, her story is one of resilience and reinvention. Now a free agent in STEM, Mamta discusses her future plans and offers some advice to the new NASA administration. OUTLINE: Here's approximate timestamps for the episode. 00:00 Intro to Mamta Patal Nagaraja 00:57 Mamta's passion for Space 03:20 Working for NASA 06:12 How to/can you quantify “is a mission worth it?” 08:30 NASA cuts and how it was done - the timing of Manta's departure from NASA 12:15 Jared Isaacmans involvement? 15:00 What is NASA's mission? 17:45 How to predict/predict other committed programs? 22:17 Space science communication 24:52 Whats next post NASA? 27:54 Mamta's advice to new leadership at NASA 33:49 Whats next for Mamta? 36:57 Wrap Ups and Socials Follow Mamta on Social: Threads: https://www.threads.com/@mamta02 Tik Tok: https://www.tiktok.com/@mamta2002 Linkedin: https://www.linkedin.com/in/mamtapatelnagaraja/ Stay connected with us! Use #Astroben across various social media platforms to engage with us! Youtube: www.youtube.com/@astrobenpodcast Website: www.astroben.com Instagram: https://www.instagram.com/astrobenpodcast/ X: https://x.com/Gambleonit Tik Tok: https://www.tiktok.com/@astrobenpodcast LinkedIn: https://www.linkedin.com/company/astrobenpodcast/  

[RE-UPLOAD FROM JUN. 23, 2020]In this episode Andrea Glassmire and Kayleigh Hauri talk with a collaborative research group from Louisiana State University and the LSU Ag Center – Rodrigo Diaz, James Cronin, Laura Meyerson, Tracy Meyerson, Xuelian Meng, John Nyman, Ana Salgado, and Joshua Snook. They are collaborating on a project examining the mechanisms causing the die-off of an important wetland grass system, Phragmites australis, that stabilizes the Louisiana coastline. The Phragmites die-off is a multi-faceted problem, and each collaborator is investigating different aspects of this die-off. The restoration of Phragmites is an applied ecological challenge that will be important for stabilizing the Louisiana coastline, and the only way to accomplish this is using basic research to understand what the mechanisms are.The Phragmites research team includes additional scientists studying the role of plant pathogens, soil microbes, plant volatiles, and Asian parasitoids. For a glimpse, please see the research topics covered here!You can follow Bug Talk on Instagram and Twitter @bugtalkpodcast, and YouTube @bugtalk6645

In this episode of The Poultry Nutrition Blackbelt Podcast, Dr. Chance Williams from Wayne-Sanderson Farms shares a practical look into how integrators conduct nutrition research and apply findings to real-world production. He discusses mini pen trials, research collaborations, and decision-making frameworks that drive nutritional strategies. Listen now on all major platforms!"The mini pens are within the same production environment as the birds in that house, not isolated like a typical research barn."Meet the guest: Dr. Chance Williams earned his Ph.D. in Poultry Nutrition and M.S. in Beef Reproductive Physiology from the University of Arkansas, after completing his B.S. in Animal Science at Texas Tech University. As Sr. Nutritional Services Director at Wayne-Sanderson Farms, he brings nearly a decade of practical nutrition experience.What you'll learn:(00:00) Highlight(01:25) Introduction(02:30) Dr. Williams' career path(05:46) Mini pen trials(08:33) Academic partnerships(10:05) Internal research structure(12:58) Nutrition challenges(16:05) Closing thoughtsThe Poultry Nutrition Blackbelt Podcast is trusted and supported by innovative companies like:* Kemin* Kerry- Anitox- BASF- Poultry Science Association- Barentz- Zinpro

In this episode, we welcome Nicole Wilke to the show. She is a child welfare researcher, missionary, author, and marriage and family therapist. She currently serves as Director of the Center on Applied Research for Vulnerable Children and Families, bridging research and practice to improve faith-based care for vulnerable children and families around the globe. Nicole currently resides with her family in Peru where they work to improve the nationwide system for children in alternative care. In this interview, we discuss her early life experiences that led her to her current line of work and ministry, why we should focus on making our kids resilient as opposed to strong, the correct definition of resilience, how to delineate “trauma” from “normal stress”, why being a “snowplow parent” will cause your kids long-term issues, how we can infuse adversity into the lives of our kids, why successful people typically had rough upbringings, how the right kinds of relationships help us build resilience, and much more. Let's get into it… Episode notes and links HERE. Donate to support our mission of equipping men to push back darkness. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this thought-provoking episode, I sit down with Dr. Remi Kalir,  the Associate Director of Faculty Development and Applied Research with Learning Innovation and Lifetime Education at Duke University, where he also serves as Associate Director of the Center for Applied Research and Design in Transformative Education. He has also completely revolutionized my thinking about annotation. As someone who was relatively ambivalent about annotations, Remi's perspective transformed me into a fan, believer, and enthusiastic practitioner. Our conversation challenges conventional wisdom about annotation, as Remi argues that we're all annotators, from the grandmother scribbling recipe modifications to fans dissecting Kendrick Lamar's lyrics on Genius. He also shares fascinating examples from his upcoming book "Re/Marks on Power" (MIT Press, 2025), including Harriet Tubman's previously unexamined annotations in pension files, protest markings on Confederate monuments, and how the US-Mexico border itself represents a form of annotation—a line drawn imprecisely on a map as an exercise of power.Key Concepts from the Episode:Annotation as a Social PracticeAnnotation is more than a reflection of individual comprehensionAnnotations have a "social life" that extends beyond the text and timeAnnotation is dialogic rather than an isolated literacy actAnnotation as a Tool for CritiqueAnnotation serves as a tool for critique and challenging authorityAnnotation can circulate counter-narratives and resist dominant ideologiesE.g. Harriet Tubman's use of annotations on pension documentsAnnotation as an Embodied PracticeAnnotations can be embodied and geographic Protests and interventions on monuments represent forms of annotationDigital annotation practices are all over spaces like TikTok, Genius, etc.Particularly compelling is our discussion of annotation's unique affordances: its proximity to the original text, its capacity for "rough draft thinking," and its ability to make our responses visible to others across time and space. Remi invites us to see annotation not as an isolated comprehension check but as a dialogic practice with profound implications for critical literacy, social justice, and civic engagement. For educators struggling to make annotation meaningful beyond compliance, this episode offers both theoretical insights and practical inspiration to transform this everyday practice into something that can, as Remi says, "live, speak, and inspire."Re/Marks on Power (Newsletter)Re/Marks on Power (Book)Join me and socially annotate the transcription!Support the show

In this AI Chats episode on Haynes Boone's Legal Landscape podcast, AI and Deep Learning Practice Group Co-chair Eugene Goryunov speaks with AI pro Fred Bliss of Intersect Next about the privacy and legal risks of on-device AI vs cloud-based AI or how a AI on your phone compares to a model like Chat GPT. Connect with them here: Eugene Goryunov, Partner and Co-chair AI and Deep Learning Practice Group, Haynes BooneFred Bliss, Modern AI & LLM Advisory and Applied Research, Intersect Next

Spero vi piaccia!!! Sono in ansia lol★ SOCIAL ★Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/4iexis/ Letterboxd: ⁠⁠⁠⁠⁠⁠⁠https://letterboxd.com/4lexis/ Email: chahaotic@gmail.comSe vuoi offrirmi un caffè e supportare il canale: https://ko-fi.com/4lexis Il canale lo trovi anche qui: https://www.youtube.com/@ChahaoticFONTI - La bibliografia purtroppo non entra tutta quindi se volete un articolo in particolare, scrivetemi e ve lo mando :)- Baym, N.K. (2015) ‘Social Media and the Struggle for Society', Social Media + Society, 1(1).- Boyle, S. (2024) ‘Is doom scrolling really rotting our brains? The evidence is getting harder to ignore', The Guardian.- Brown, A. (2009) ‘Google isn't making us dumb – or smart. That's the problem', The Guardian.- Cain, M.S. and Mitroff, S.R. (2011) ‘Distractor filtering in media multitaskers', Perception, 40(10), pp. 1183–1192.- Carr, N. (2008) ‘Is Google Making Us Stupid?', The Atlantic.- Cascio, J. (2009) ‘Get Smarter', The Atlantic- Cbkwgl (2022) ‘Bottomless Bowl Experiment and Attention Economy', Project Management and User Experience.- Chayka, K. (2024) ‘The Trump Assassination Attempt Meets the Internet's Brain-Rot Era', The New Yorker.- Clark, A. and Chalmers, D. (1998) ‘The Extended Mind', Analysis, 58(1), pp. 7–19.- Estes, A.C. (2011) ‘Google Is Making Us Stupid and Smart at the Same Time?', The Atlantic.- Firth, J. et al. (2019) ‘The “online brain”: how the Internet may be changing our cognition', World Psychiatry, 18(2), p. 119. - Fleming, A. (2025) ‘All in the mind? The surprising truth about brain rot', The Guardian, 29 January. - Francis, G. (2017) ‘Irresistible: Why We Can't Stop Checking, Scrolling, Clicking and Watching – review', The Guardian.- Greenfield, A. (2017) ‘Rise of the machines: who is the “internet of things” good for?', The Guardian.- Gurwinder (2024) The Intellectual Obesity Crisis. - Heaton, B. (2024) ‘Brain rot' named Oxford Word of the Year 2024, Oxford University Press. - Heller, N. (2024) ‘The Battle for Attention', The New Yorker.- Immerwahr, D. (2025) ‘What if the Attention Crisis Is All a Distraction?', The New Yorker.- ‘Intervista a Maryanne Wolf' (2019) DPU | Diritto Penale e Uomo. - Isaacson, W. (2013) ‘Brain Gain', The New York Times.- Kuss, D.J. and Griffiths, M.D. (2017) ‘Social Networking Sites and Addiction: Ten Lessons Learned', - International Journal of Environmental Research and Public Health, 14(3), p. 311.- Loh, K.K. and Kanai, R. (2014) ‘Higher Media Multi-Tasking Activity Is Associated with Smaller Gray-- Matter Density in the Anterior Cingulate Cortex', PLOS ONE, 9(9), p. e106698. - Media, C. (2010) ‘Our “Deep Reading” Brain: Its Digital Evolution Poses Questions', Nieman Reports.- Moshel, M.L. et al. (2024) ‘Neuropsychological Deficits in Disordered Screen Use Behaviours: A Systematic Review and Meta-analysis', Neuropsychology Review, 34(3), pp. 791–822. - Ophir, E., Nass, C. and Wagner, A.D. (2009) ‘Cognitive control in media multitaskers', Proceedings of the National Academy of Sciences, 106(37), pp. 15583–15587. - Orben, A. (2019) ‘We're told that too much screen time hurts our kids. Where's the evidence?', The Observer.- Paul, A.M. (2013) ‘Reading Literature Makes Us Smarter and Nicer', Time.- Pinker, S. (2010) ‘Opinion | Mind Over Mass Media', The New York Times.- Prior, K.S. (2013) ‘How Reading Makes Us More Human', The Atlantic.- Rajaram, S. and Marsh, E.J. (2019) ‘Cognition in the Internet age: What are the important questions?', Journal of Applied Research in Memory and Cognition, 8(1), pp. 46–49. - Sparrow, B., Liu, J. and Wegner, D.M. (2011) ‘Google Effects on Memory: Cognitive Consequences of Having Information at Our Fingertips', Science, 333(6043), pp. 776–778.

"In all these things we are more than conquerors through Him who loved us." -Romans 8:37   Welcome to The Adoption & Foster Care Journey—a podcast to encourage, educate and equip you as you care for children in crisis through adoption, foster care and kinship care.   On this episode, host Sandra Flach talks with Dr. Nicole Wilke, PhD.    Nicole is a researcher, missionary, author and marriage & family therapist dedicated to improving care for vulnerable children & families globally. She currently serves as Director of Christian Alliance for Orphans' Center on Applied Research for Vulnerable Children & Families, bridging research and practice to improve care for vulnerable children & families around the globe. Dr. Wilke's passion for this work stems from her family's experience with adoption & fostering. Having lived on 4 continents, Nicole currently resides with her family in Peru, where they work to improve the system for children in alternative care.   Tune is as Sandra and Nicole discuss what Scripture and Science say about resilience.    Please be sure to subscribe to the podcast, leave a review, and share it on your social media. Links mentioned in this episode: justicefororphansny.org justicefororphansny.org/hope-community     Email:  sandraflach@justicefororphansny.org sandraflach.com Orphans No More—A Journey Back to the Father on amazon.com Christian Alliance For Orphans Research Center Books by Dr. Nicole Wilke on Amazon:                 Overcoming—What Scripture & Science Say About Resilience                 Caleb Koala's Comeback Ride   Instagram: dr.nicolewilke Facebook: Nicole Wilke

Für die Vergabe der Fußball-WM der Männer an Saudi-Arabien steckt die Fifa viel Kritik ein. Wie ist das Leben dort wirklich? Wir haben Stimmen von Menschen vor Ort gesammelt und ordnen ein, was Kronprinz Muhammad Bin Salman mit dem Land vorhat.Shownotes:Human Ritghts Watch Bericht zur Situation von Arbeitsmigranten in Saudi-Arabien: https://www.hrw.org/report/2024/12/04/die-first-and-ill-pay-you-later/saudi-arabias-giga-projects-built-widespreadOffener Brief von Fairness United: https://www.fairness-united.org/**********Ihr hört: Moderation: Rahel Klein Gesprächspartnerin: Nina Amin, Korrespondentin im ARD-Studio Kairo Gesprächspartner: Sebastian Sons, Islamwissenschaftler, Center for Applied Research in Partnership with the Orient (CARPO) in Bonn**********Unsere Quellen:Human Ritghts Watch Bericht zur Situation von Arbeitsmigranten in Saudi-ArabienOffener Brief von Fairness United**********Den Artikel zum Stück findet ihr hier.**********Ihr könnt uns auch auf diesen Kanälen folgen: TikTok auf&ab , TikTok wie_geht und Instagram .**********Ihr habt Anregungen, Wünsche, Themenideen? Dann schreibt uns an Info@deutschlandfunknova.de

NL's College of the North Atlantic isn't just a place to learn and train for a career. It's now among the top ten research colleges in the country. Michael Long is the Dean with he Office of Applied Research and Innovation at College of the North Atlantic.

Journal of Applied Research in Memory and Cognition dergisinde yayımlanan bir çalışmaya göre, anıların ne süreyle ve ne kalitede korunduğunu etkileyen önemli bir faktör, onları fotoğraflamaktır.Uzmanlar buna yük boşaltımı deniyor. Bir anı fotoğrafladığınızda, o anı hatırlamak için bir makinaya güvenmiş… Seslendiren: Kaya Erdem Yılmaz

In this episode, Tyrome Smith, Senior Advisor at the Applied Research Institute for Mathematical & Computational Science shares his inspiring leadership journey, highlights the critical role of strategic partnerships, and explores the future of mission-focused entrepreneurship. Learn how market intelligence and AI are transforming public sector innovation, reshaping supply chains, and driving generational impact. Don't miss insights on the Chips and Science Act, public-private partnerships, and the ethical considerations of data-driven solutions. 00:35- About Tyrome 'Ty' Smith Ty is a director of strategic partnership, a common mission project whose mission is to create an international network of entrepreneurs driven to solve the critical challenges of our time.  He has also been appointed to a three-year term on the National Institute of Standards and Technology, Manufacturing Extension Partnership advisory board. --- Support this podcast: https://podcasters.spotify.com/pod/show/tbcy/support

The Indiana Chamber of Commerce recently published “Untapped Potential in IN,” a report on how childcare issues affect the state's economy. The report concluded that Indiana is losing more than $4 billion annually — including more than $1 billion in tax revenue — because of childcare issues. Read the report here.The data came from a survey in March of 609 parents with a child under the age of 6. The United States Chamber of Commerce Foundation conducted the survey. It found that 57 percent of parents of young children missed work or class at least once because of childcare issues in the three months studied. It also found that 40 percent of parents experienced employment disruptions in the prior year because of childcare issues. Parents in Indiana spend an average of $677 per month on childcare. This week on Noon Edition, we will talk with representatives of Indiana's Chamber and childcare professionals. You can follow us on X @WFIUWTIUNews or join us on the air by calling 812-855-0811 or toll-free at 1-877-285-9348. You can also send questions for the show to news@indianapublicmedia.org.   You can also record your questions and send them in through email.  Guests Jason Bearce, Indiana Chamber's Vice President, Education and Workforce Development Melissa Fry, Director of Applied Research and Education Center for IU Southeast Christin Olson, IU director of Early Childhood Education Services 

Community is the foundation on which success is built. A strong support network opens opportunities and helps us overcome even the most challenging adversity.On this episode, I'm joined by Mamta Patel Nagaraja, Associate Chief Scientist for Exploration and Applied Research at the National Aeronautics and Space Administration, to explore her unconventional journey from a small town in Texas to a prominent role at NASA.Key Takeaways:(00:16) The value of making decisions based on available information.(06:06) Overcoming academic and social challenges in school.(12:21) The drive for academic excellence and early leadership roles.(27:33) Critical decisions and sacrifices made in pursuit of becoming an astronaut.(30:25) The importance of following rules and the impact of small decisions.(33:28) Dealing with rejection and finding new dreams after setbacks.(41:08) Visualization and storytelling as techniques for dreaming new dreams.(50:59) The importance of empathy, listening, and making thoughtful decisions.(57:16) The impact of 9/11 on personal safety and awareness.Resources Mentioned:Mamta Patel Nagaraja - https://www.linkedin.com/in/mamtapatelnagaraja/NASA | LinkedIn - https://www.linkedin.com/company/nasa/NASA | Website - https://www.nasa.govMamta Patel Nagaraja - https://en.wikipedia.org/wiki/Mamta_Patel_NagarajaThanks for listening to the Indianness podcast. If you enjoyed this episode, hit the subscribe button and never miss another insightful conversation with leaders of Indian origin. And be sure to leave a review to help get the word out about the show. #Indian #IndiaBusiness #India #Indianness

Subscribe for $5.99 a month to get bonus content most Mondays, bonus episodes every month, ad-free listening, access to the entire 600-episode archive, Discord access, and more: https://axismundi.supercast.com/ In “"For Such a Time as This," Latinx Charismatics & Pentecostals & the 2024 Election,” Dr. Leah Payne speaks with three scholars who study the intersection of religion, politics, and Latinx communities in the United States.  Dr. Flavio Hickel Jr. is an assistant professor of American politics at Washington College in Chestertown, Maryland. He was also a fellow with the Public Religion Research Institute (PRRI) for the last two years. Flavio's current research focuses on the Latinx community and Immigration policy, and he's co-authored hot off the presses analysis of recent polling data about charismatic Christianity at PRRI in The Washington Post, Religion News Service, Axios, and other news outlets. Dr. Erica Bryand Ramirez  is a sociologist of religion and currently Director of Applied Research at Auburn Seminary in Manhattan. In addition to writing about Pentecostals and Politics for The Washington Post  and  Religion News Service, Erica's series on Texas Megachurches on The Anxious Bench is a fascinating analysis of charismatic communities and how they envision national politics. Dr. Lloyd Barba is an assistant professor of religion at Amherst college whose writings include Sowing the Sacred: Mexican Pentecostal Farm Workers in California and an edited volume on the politics of immigration and the Latino faith community entitled Latin American and US Latino Religions in North America which also features Dr. Erica Ramirez.Lloyd has also written about Pentecostals and politics for The Washington Post, Religion News Service, and other news outlets. He currently co-hosts another Axis Mundi podcast called Sanctuary: on the Border Between Church and State Resources & Links PRRI Data: Religious & Political Affiliations of Hispanic Americans Book by Dr. Johnathan Calvillo: The Saints of Santa Anna: Faith and Ethnicity in a Mexican Majority City  Book by D. Daniel Ramirez: Migrating Faith: Pentecostalism in the United States and Mexico in the Twentieth Century    Latino Protestants in America: Diverse and Growing, Gerardo Martí, Mark T. Mulder and Aida I. Ramos (Rowman & Littlefield) Linktree: https://linktr.ee/StraightWhiteJC Order Brad's book: https://bookshop.org/a/95982/9781506482163 Check out BetterHelp and use my code SWA for a great deal: www.betterhelp.com Learn more about your ad choices. Visit megaphone.fm/adchoices

In this week's episode, Tracy speaks to Maggie Van Camp about all things transition planning in this episode titled “Farm Succession: A Communication First Approach.” In this episode, Tracy and Maggie discuss: - Why is now the time for farmers to create their transition plan? - Maggie states, “Successful succession requires flipping the priorities on transition planning to having better communication skills as a foundation.” - She shares the 3 Phases of Transition Planning. - How long does transition planning take? - Tracy asks Maggie about the factors that are making succession planning even more challenging than in past years. - Proper role transitioning during succession is important. Maggie explains the 3 stages of role transition and why a slow transition is important, needed, and best for both generations. With a communication-first approach in mind, Maggie shares a quick round of best communication practices for farms to implement, especially around transition planning. Is transition planning something you are interested in learning more about?  If so, you won't want to miss this episode. Thanks so much for tuning in, Tracy Brunet ============================= RESOURCES Connect with Maggie Van Camp: https://loft32.ca/#team  Farmer's Bridge: https://farmersbridge.ca You can read and download Maggie Van Camp's Applied Research paper “Farm Succession: A Communications-first Approach” – This paper was accepted for presentation at the International Farm Management Congress 2024.  https://farmersbridge.ca/wp-content/uploads/2024/06/whitepaper-succession-communications-final.pdf Do you know all the information you'd need to keep operating without your key decision makers? Here is The Because I Love You list that you can download and keep safe. https://farmersbridge.ca Loft32: https://loft32.ca SIGN UP If you enjoyed this episode, don't forget to sign up as an Insider so that you are first to know about all-new Impact Farming episodes, Expert Corner Segments, fantastic contests, and new promotions https://www.farmmarketer.com/impact_farming_show/sign-up

In the SPORTS and COACHING industry you might not find that many people with NUANCED and BALANCED approaches to problems

This week on the podcast I sit down with Paolo Menaspa. Paolo is the Chief Science Officer at the Australian Institute of Sport, where he has led teams responsible for research & development, quality assurance, athlete performance health, and REST.    Palo has a vast experience in the world of sport, supporting athletes through multiple Olympic cycles across multiple events. With a focus on cycling, Paolo has supported the national coaches and the performance support team developing solutions across multiple disciplines   This conversation will give you an insight across Paolo's career thus far, as well as the exciting research and developments he and his team continue to make.    Links   Current research agenda:  https://www.sportaus.gov.au/__data/assets/pdf_file/0011/1048268/National-High-Performance-Research-Agenda-2022.pdf   And the HP 32+ strategy, with measures of success defined at page 12. https://www.winwell2032.au/__data/assets/pdf_file/0007/1083742/Australias-2032-High-Performance-Sport-Strategy.pdf   Use code APPLIED for 50% off all Supporting Champions Courses https://www.supportingchampions.co.uk/onlinecourse/    

In this episode of the Threat Intelligence Podcast, host Derrick T. Dortch dives into the complex and emerging world of extremism in gaming spaces with our distinguished guest, Linda Schlegel. As a research fellow at both the Peace Research Institute Frankfurt (PRIF) - Center for Applied Research on Deradicalization, Linda brings a wealth of expertise to this crucial discussion. Linda is a former intern at The Counterterrorism Group and will share about the intersection of gaming and extremism and how extremist groups are exploiting digital gaming spaces and the challenges this poses, and much more.

In this episode, host Dr. I. David Daniels will speak with Dr. Leslie Hammer, Director at Oregon Healthy Workforce Center (OHWC), a veteran of over 30 years in Occupational Health Psychology. OHWC is one of ten Centers of Excellence for Total Worker Health. Dr. Hammer is also Associate Director of Applied Research at the Oregon Institute of Occupational Health Sciences and a Professor Emerita at Portland State University. The National Institute for Occupational Safety and Health (NIOSH) funds 10 academic Centers of Excellence for Total Worker Health across the U.S. These centers serve as hubs for research and practice, advancing worker safety, health, and well-being. They explore job-related factors impacting well-being, such as wages, workload, stress levels, and social interactions. Dr. Hammer's research and work have focused on a healthy balance between work and home. Recently, they have focused on the degree to which leadership can support not only work-life harmony but also physical health and safety, psychological health and safety, and overall mental health.

Dr. Arto Pesola has a PhD degree in Exercise Physiology from the Faculty of Sport Sciences, University of Jyväskylä. His field of science is the causality of reduced muscle inactivity time on health outcomes in an RCT setting. Arto has been a highly visible expert in Finnish national TV and radio channels giving expert opinions on the health hazards of sedentariness and the promotion of everyday physical activity. Invited by the Finnish Ministry of Social Affairs and Health, Arto was an expert member of the committee formulating national recommendations for reducing sitting and sedentary lifestyles in Finland in 2015. Naturally, Fibion was the first commercial product to implement the new recommendations. In Fibion, Arto has developed scientific analysis algorithms and is working to ensure that the Fibion product and marketing are based on the newest scientific findings.

This episode will be part celebration, part reflection, and part insight. We will be celebrating what we learned from 1 year of hosting a live radio show and podcast, looking back at some of the highlights, and also sharing specific data on a group coaching program that follows the framework that our seasons have been focusing on this past year: Navigating Uncertainty, Developing Leadership Identity, Mapping a Strategy, Navigating Complexity, and Making a Greater Impact. WHAT YOU WILL LEARN:How do you make an impact on leadership development in a large healthcare system where people generally work in siloes? How can you help clinical and academic leaders feel more prepared and more supported to create organizational change and lead in times of uncertainty? We will review our proprietary research-based 5-stage Strategic Leadership Pathway model and the results from a program evaluation study of this model conducted at Duke University and presented at the Pediatric Academic Societies Meeting.We'll explore questions such as:1. What might be the impetus for starting a group coaching program within academic healthcare - what was the need identified and why group coaching?2. What can you expect to gain from such a program and what are the implications?3. What impact could this kind of program potentially serve in highly complex academic medicine and healthcare environments in supporting leaders in those environments. And we'll also celebrate 50 episodes and 1 year of doing this radio show!***ABOUT OUR GUESTS:Dr. Mara Becker, MD, MSCE, is a physician-scientist and Vice Dean for Faculty of Duke University School of Medicine's Office of Faculty. She oversees the Office for Faculty and provides leadership on all faculty matters including advancement, development, mentoring and professionalism. Her previous translational research focused on identifying factors that enhance response and minimize toxicity to drugs used for the treatment of rheumatic diseases in children, focusing on individualized therapeutic strategies. She previously served as Division Director of Rheumatology and Associate Chair for the Department of Pediatrics at Children's Mercy-Kansas City. Dr. Becker is actively involved in national committees and organizations including the FDA Arthritis Advisory Committee, American College of Rheumatology, American Board of Pediatrics, Rheumatology Research Foundation Board of Directors, and Childhood Arthritis and Rheumatology Research Alliance.Jessica Schonberg, M.Ed. is their Director of Educational Programs for Duke University School of Medicine's Office of Faculty. She directs and oversees their Leadership and Faculty Development and funding programs. Jessica has a Master's degree in Training and Development from North Carolina State University. Jessica Sperling, Ph.D., is and Assistant Professor of Internal Medicine at Duke University, as well as the Director of Applied Research, Evaluation, & Engagement of Duke University's Social Science Research Institute (SSRI). She focuses on responsive and collaborative research, evaluation, and research/practice partnership. At Duke, her work has focused on education, healthcare delivery, diversity/inequality, and innovation/pilot programming. She holds a Ph.D. in Sociology from the Graduate Center of the City University of New York.***IF YOU ENJOYED THIS EPISODE, CAN I ASK A FAVOR?We do not receive any funding or sponsorship for this podcast. If you learned something and feel others could also benefit, please leave a positive review. Every review helps amplify our work and visibility. This is especially helpful for small women-owned boot-strapped businesses. Simply go to the bottom of the Apple Podcast page to enter a review. Thank you!***LINKS MENTIONED IN EPISODE:Guest Website: https://medschool.duke.edu/blog/piloting-leadership-group-coaching-program-pediatric-division-chiefs#sq_hro4iausqfOur website: www.gotowerscope.comhttps://medschool.duke.edu/blog/piloting-leadership-group-coaching-program-pediatric-division-chiefs#sq_hro4iausqf #StrategicLeadershipPathwayModel #LeadershipGroupCoaching #LeadershipDevelopment #TheHardSkills #Healthcare #Academia #Results #Celebrating1YearTune in for this empowering conversation at TalkRadio.nyc

In the latest SHRM-focused episode, we hear from SHRM's Chief Data & Insights Officer, Dr. Alex Alonso.As leader of SHRM's Research & Insights business units, Alex's career portfolio has been based upon practical thought leadership designed to make better workplaces and to grow revenues.Listen as we celebrate SHRM 2024 and discuss wage inflation, labor shortages, and AI.Questions for Alex include:What can attendees expect at #SHRM24?At SHRM Annual, you'll be unveiling the findings from SHRM's 2024 State of the Workplace Study. Tell us about findings relating to wage inflation, labor shortages, and AI.Why is HR leading on AI?How will AI affect jobs?What should employees do to remain relevant in the workplace?How can employees upskill?What does ethical and responsible implementation of AI look like in the workplace?More About Alexander Alonso, PhDAlex's thought leadership has been recognized through various bodies including as an inaugural member of SHRM's Blue-Ribbon Commission on Racial Equity in the Workplace, a coalition designed to foster equitable and inclusive cultures. His research has been featured in numerous media outlets including USA Today, NBC News, BBC, CNN, and more. He has served as a member of several speaker's bureaus with more than 400 speaking engagements over the last decade.His works have been recognized for their contribution to real-world human capital issues. They include being recognized with the Society for Industrial and Organizational Psychology (SIOP's) 2007 M. Scott Myers Award for Applied Research in the Workplace for developing the federal standard for learning and development of healthcare providers; a 2009 Presidential Citation for Innovative Practice by the American Psychological Association for designing performance management systems; and the 2013 SIOP Distinguished Early Career Contributions for Practice Award for extensive applied research on the link between human resource management and organizational sustainability.We do our best to ensure editorial objectivity. The views and ideas shared by our guests and sponsors are entirely independent of The HR Gazette, HRchat Podcast and Iceni Media Inc.Feature Your Brand on the HRchat PodcastThe HRchat show has had 100,000s of downloads and is frequently listed as one of the most popular global podcasts for HR pros, Talent execs and leaders. It is ranked in the top ten in the world based on traffic, social media followers, domain authority & freshness. The podcast is also ranked as the Best Canadian HR Podcast by FeedSpot and one of the top 10% most popular shows by Listen Score. Want to share the story of how your business is helping to shape the world of work? We offer sponsored episodes, audio adverts, email campaigns, and a host of other options. Check out packages here. Follow us on LinkedIn Subscribe to our newsletter Check out our in-person events

Featuring: Paul Allen, Bloomberg Television Australia Correspondent Ben Luk, Senior Multi Asset Strategist at State Street Global Markets Olivier d'Assier, Head of Applied Research, APAC at SimCorp Louis Navellier, Founder and Chairman at Navellier & AssociatesListen to today's top stories, with context, in just 15 minutes. Subscribe and rate our podcast here:Apple: https://podcasts.apple.com/us/podcast/bloomberg-daybreak-asia/id1663863437Spotify: https://open.spotify.com/show/0Ccfge70zthAgVfm0NVw1bTuneIn: https://tunein.com/podcasts/Asian-Talk/Bloomberg-Daybreak-Asia-Edition-p247557/?lang=es-es See omnystudio.com/listener for privacy information.

Dr. Sue Johnson is the founder and leading authority on Emotionally Focused Therapy (EFT), a type of therapy that helps individuals, couples and families improve their relationships by understanding and managing their emotions. She has written dozens of books on the topic, including the bestsellers “Hold Me Tight: Seven Conversations for a Lifetime of Love,” “Attachment Theory in Practice,” and “A Primer for Emotionally Focused Individual Therapy.” Dr. Johnson is also the founder of ICEEFT and has received numerous awards and recognitions for her contributions to the field of psychology, including the Order of Canada, The Psychotherapy Networker Lifetime Achievement Award, and the American Psychological Association's Award for Distinguished Professional Contributions to Applied Research. See Dr. Sue Johnson's public website at www.drsuejohnson.com

Dr. Sue Johnson is the founder and leading authority on Emotionally Focused Therapy (EFT), a type of therapy that helps individuals, couples and families improve their relationships by understanding and managing their emotions. She has written dozens of books on the topic, including the bestsellers “Hold Me Tight: Seven Conversations for a Lifetime of Love”, “Attachment Theory in Practice” and “A Primer for Emotionally Focused Individual Therapy”. Dr. Johnson is also the founder of ICEEFT and has received numerous awards and recognitions for her contributions to the field of psychology, including the Order of Canada, The Psychotherapy Networker Lifetime Achievement Award, and the American Psychological Association's Award for Distinguished Professional Contributions to Applied Research. See Dr. Sue Johnson's public website at www.drsuejohnson.com

In the second episode in Transforming Energy's Lab Notes series, guest host Molly Rettig takes listeners on a journey to Mountain Village, a Yup'ik community working with NREL researchers to design and build super energy-efficient homes amid the challenges of extreme weather and permafrost. Through local collaboration and innovative research and technology, these efforts not only address pressing housing needs but also empower communities to adapt to the changing climate while preserving their traditional way of life.   Housed in the farthest-north LEED Platinum building in the world, the Applied Research for Communities in Extreme Environments (ARCEE) Center focuses on advancing energy efficiency and renewable energy in extreme climates, addressing Arctic and climate-threatened communities, and expanding NREL's wealth of experience in building technologies. In each project, researchers are working hand in hand with communities to make sure these technologies work for their climate, their economy, and their culture.This episode was hosted by Kerrin Jeromin and Taylor Mankle, written and produced by Allison Montroy and Kaitlyn Stottler, and edited by Joe DelNero and Brittany Falch. Graphics are by Brittnee Gayet. Our title music is written and performed by Ted Vaca and episode music by Chuck Kurnik, Jim Riley, and Mark Sanseverino of Drift BC. Transforming Energy: The NREL Podcast is created by the U.S. Department of Energy's National Renewable Energy Laboratory in Golden, Colorado. We express our gratitude and acknowledge that the land we are on is the traditional and ancestral homelands of the Arapaho, Cheyenne, and Ute peoples. Email us at podcast@nrel.gov. Follow NREL on Twitter, Instagram, LinkedIn, YouTube, and Facebook.

About the episode: "If I knew about entrepreneurship or business at an earlier age, where would I actually be now?" On this episode we sit down with Jasmine LeFlore, a visionary leader and advocate for diversity in STEM and business. She is also the amazing woman who asked this powerful question in this episode.  From her early fascination with planes to her current role as the Co-founder and Executive Director of Greater Than Tech, Jasmine shares her inspiring journey of breaking her own barriers and empowering the next generation of STEM, business, and interdisciplinary leaders. We talk about how Jasmine first learned about engineering through planes, her innovation process, challenges of being a woman and woman of color in the STEM field (i.e. the game of Double Jeopardy), and the life-changing impact she is creating with her non-profit Greater Than Tech. We even talk about professional clapbacks! If you are interested in how pure curiosity can lead you down awesome adventures, overcoming challenges with confidence and grace, and how representation can change the directory of someone's life, then dive into thought-provoking and inspiring conversation with Jasmine.  Timestamps: 01:30: How seeing planes as a young kid got Jasmine started on her path to being an aerospace engineer  08:36: Jasmine's problem-solving process and the importance of understanding root causes while taking into account diverse voices 15:40: Overcoming obstacles as a woman and w woman of color in the field - Double Jeopardy 29:00: Greater Than Tech's mission and impact on empowering students in STEM and business education 35:01: Addressing the gender gap in STEM and the true importance of representation 41:01: We ask Jasmine what is one problem in her industry and what is her hope for change  44:14: Our key takeaways from our conversation with Jasmine  About Jasmine LeFlore: Recognized as one of the top 50 Women of Influence in Technology by San Diego Business journal, Jasmine LeFlore is the Co-founder and Executive Director of Greater Than Tech, a nonprofit organization dedicated to creating the next generation of innovative technology leaders by introducing girls and underserved students to immersive educational programs at the intersection of STEM and business. She also works as the Advanced Technology Solutions Lead for Collins Aerospace improving the way the Applied Research and Technology organization approaches investing in emerging technologies. LeFlore grew up in Flint, MI and watched planes take off and land every day from a nearby airport, sparking her initial interest in aerospace studies. She later earned a BSE in Aerospace Engineering from the University of Michigan, an MSE in Interdisciplinary Engineering (with a Systems Engineering Concentration) from Purdue University, and an MBA from Indiana University. Learn more about and support Greater Than Tech: ⁠⁠https://greaterthantech.org/⁠⁠ Challenge: Share this episode with a friend who is passionate about diversity in STEM and/or business fields! Connect with Us: Email: ⁠styledbyscienceceos@gmail.com⁠ Instagram: @styledbyscienceceos Subscribe to our podcast on your preferred platform! Cloeco - https://cloeco.com/ Hangio - https://shophangio.com/ Enjoyed this Episode? Share it with a friend!

Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com. Episode 2080: Jay Harrington of Life and Whim.com delves into the nuanced joys of vacationing, revealing that the happiest moments may not stem from the vacation itself but from the anticipation and memories it creates. Through a blend of personal anecdotes and research, Harrington unpacks the idea that planning and reflecting on vacations often bring more happiness than the experiences themselves, challenging the notion that vacations are merely escapes from daily life. Read along with the original article(s) here: https://www.lifeandwhim.com/first-moments-blog/vacation-may-not-be-what-you-think Quotes to ponder: "Experiences, even unpleasant ones, often give us pleasure in retrospect, through the memories we have and the stories we tell." Episode references: Applied Research in Quality of Life: https://link.springer.com/journal/11482 Learn more about your ad choices. Visit megaphone.fm/adchoices

Ralph E. Moon, PhD -“Don't fall Prey to MUS, using Applied Research for better results on your Projects!” Keynote Dr. Ralph Moon, PhD “What is Technical Competence, Why is it Important, Planning for the Day you get Sued or are Deposed...What Do You Do?” Joe Spurgeon, PhD: “The Essential Elements of a Professional Formal Report and How to Defend Your Assessment Reports, Recommended Protocols & Post Remediation Verification (PRV)” Keynote Address by: Angela M. Bajramaj; “The Cradle to Grave Process for Best Practices to: Secure the Project, Document the Project, Deliver the Project and Get Paid on the Project!”    

In this episode of Occupied Thoughts, FMEP President Lara Friedman speaks with Saudi researcher and analyst of Saudi foreign policy Aziz Alghashian about the impact of Israel's now more than 4-month-long war on Gaza on the political calculations and policies of the Kingdom of Saudi Arabia.  Aziz is a fellow at Sectarianism, Proxies & De-sectarianisation (SEPAD) and at the Center for Applied Research in Partnership with the Orient (CARPO). He earned his PhD from the University of Essex, where he taught International Relations, Politics and Middle Eastern Studies. And most important for the purposes of today's podcast, the focus of Aziz's current research and writing is Saudi policy towards Israel, and Arab-Israeli relations. Original music by Jalal Yaquoub.

In this episode of Talking Health Tech, host Peter Birch catches up with Professor Clara Chow, a cardiologist and academic director of the Westmead Applied Research Centre (WARC). Clara shares insights into WARC's innovative work in addressing chronic diseases like cardiovascular diseases, diabetes, and lung disease using technology to improve healthcare delivery. The episode delves into the importance of evidence-based solutions in the healthcare space, the development of digital clinical trials, the launch of DigiCuris, and the potential impact on patient care in the future.Key Takeaways:1. Importance of Evidence-Based Solutions: Clara emphasises the significance of evidence-based solutions and the need to ensure that technology effectively improves health outcomes and patient experience, while being cost-effective.2. Customised and Personalised Approach: WARC utilises simple, customised, and personalised digital technologies to support patients with a diverse range of chronic health conditions, ensuring that communication and support are accessible to everyone, regardless of language or technological proficiency.3. Impact of Digital Clinical Trials: Clara discusses the positive impact of digital clinical trials on patients, highlighting the effectiveness of a text message-based education support program in improving health markers and patient adherence.4. Development of DigiCuris: The launch of DigiCuris as a culmination of years of research learnings, aiming to deliver complex, personalised, and evidence-based healthcare programs to a wide range of patients, focusing on chronic health conditions.Check out the episode and full show notes on the Talking HealthTech website.Loving the show? Leave us a review, and share it with someone who might get some value from it. Keen to take your healthtech to the next level? Become a THT+ Member for access to our online community forum, quarterly summits, and more exclusive content. For more information visit talkinghealthtech.com/thtplus.

In this episode of The Healers Café, Manon Bolliger, FCAH, RBHT (facilitator and retired naturopath with 30+ years of practice) talks with Dr. John Poothullil about his findings on what is actually causing diabetes and what the right cures are. For the transcript and full story go to: https://www.drmanonbolliger.com/dr-john-poothullil   Highlights from today's episode include: Dr. John Poothullil We all inherit a certain amount of fat storage capacity. After a meal, the liver keeps 120 grams of glucose. If you have a high carbohydrate meal, the rest of it is converted into long term storage to fatty acid and to fat, send it to fat cells. If fat cells are full, the fatty acids stay in the blood. Dr. John Poothullil  10:12 So, obesity is a visual thing, it's a cosmetic thing that is should not be a medical concern. For medical consideration, you need to know the fat storage capacity that you inherited. Dr. John Poothullil MD  Every type two diabetic patient should ask the doctor, hey, if I am resistant to insulin, why are you givin   ABOUT DR JOHN POOTHULLIL:  Award-winning author and nationally syndicated health expert, Dr. John Poothullill, practiced medicine as a pediatrician and allergist for more than 30 years, with 27 of those years in the state of Texas. He began his practice in 1974 and retired in 2008. He holds certifications from the American Board of Pediatrics, The American Board of Allergy & Immunology, and the Canadian Board of Pediatrics. During his medical practice, Dr. John became interested in understanding the causes of and interconnections between hunger, satiation, and weight gain. His interest turned into a passion and a multi-decade personal study and research project that led him to read many medical journal articles, medical textbooks, and other scholarly works in biology, biochemistry, physiology, endocrinology, and cellular metabolic functions. This eventually guided him to investigate the theory of insulin resistance as it relates to diabetes. Recognizing that this theory was illogical, he spent a few years rethinking the biology behind high blood sugar and finally developed the fatty acid burn switch as the real cause of diabetes. This led to the publication of Dr. John's first two books, Eat Chew Live; and Diabetes: The Real Cure and The Right Cause. His own diagnosis of cancer inspired him to write. Surviving Cancer and When Your Child Has Cancer. Prompted by the COVID-19 response, he published Your Health Is At Risk, speaking to the vast amounts of disinformation, misinformation, and missing information that is available, especially in regard to lifestyle diseases, and how to discern fact from fiction. This title has won two gold medals in the IPPY and Nautilus Awards in 2023. His sixth publication is available now, The Diabetes-Free Cookbook  Exercise Guide: 80 Utterly Delicious Recipes; 12 Easy Exercises To Keep Your Blood Sugar Low. Dr. Poothullil has written articles on hunger and satiation, weight loss, diabetes, and the senses of taste and smell. His articles have been published in medical journals such as  Physiology and Behavior , Neuroscience and Biobehavioral Reviews; Journal of Women's Health, Journal of Applied Research, Nutrition, and Nutritional Neuroscience. His work has been quoted in Woman's Day, Fitness, Red Book, and Woman's World. Dr. Poothullil has been the health consultant for the nationally syndicated AM radio talk show, America's First News, which is broadcast on over 100 stations across the US. He is also a nationally syndicated columnist for the Price of Business Digital Network. Core purpose/passion: Your health is in your hands and is determined by what they put into your body. Reconnect with your authentic weight. Enjoy your food, mindfully chewing each bite, allowing your brain to guide your choices of what to eat and when to stop eating. Grains and grain products should be less than 30% of your diet. Question long-standing medical theories, such as insulin resistance, which has never been proven. Website | Facebook | Instagram | YouTube   ABOUT MANON BOLLIGER, FCAH, RBHT  As a de-registered (2021) board-certified naturopathic physician & in practice since 1992, I've seen an average of 150 patients per week and have helped people ranging from rural farmers in Nova Scotia to stressed out CEOs in Toronto to tri-athletes here in Vancouver.  My resolve to educate, empower and engage people to take charge of their own health is evident in my best-selling books:  'What Patients Don't Say if Doctors Don't Ask: The Mindful Patient-Doctor Relationship' and 'A Healer in Every Household: Simple Solutions for Stress'.  I also teach BowenFirst™ Therapy through Bowen College and hold transformational workshops to achieve these goals. So, when I share with you that LISTENING to Your body is a game changer in the healing process, I am speaking from expertise and direct experience". Manon's Mission: A Healer in Every Household!  For more great information to go to her weekly blog:  http://bowencollege.com/blog.  For tips on health & healing go to: https://www.drmanonbolliger.com/tips Follow Manon on Social – Facebook | Instagram | LinkedIn | YouTube | Twitter | Linktr.ee | Rumble   ABOUT THE HEALERS CAFÉ:  Manon's show is the #1 show for medical practitioners and holistic healers to have heart to heart conversations about their day to day lives.  Subscribe and review on your favourite platform: iTunes | Google Play | Spotify | Libsyn | iHeartRadio | Gaana | The Healers Cafe | Radio.com | Medioq | Follow The Healers Café on FB: https://www.facebook.com/thehealerscafe   Remember to subscribe if you like our videos. Click the bell if you want to be one of the first people notified of a new release. * De-Registered, revoked & retired naturopathic physician after 30 years of practice in healthcare. Now resourceful & resolved to share with you all the tools to take care of your health & vitality!

This episode features Dr. Michelle Gill, Tech Lead and Applied Research Manager at NVIDIA, working on transformative projects like BioNemo to accelerate drug discovery through AI. Her team explores Biofoundation models to enable researchers to better perform tasks like protein folding and small molecule binding.Michelle shares her incredible journey from wet lab biochemist to driving cutting edge AI at NVIDIA. Michelle discusses the overlap and differences between NLP and AI in biology. She outlines the critical need for better machine learning representations that capture the intricate dynamics of biology.Michelle provides advice for beginners and early career professionals in the field of machine learning, emphasizing the importance of continuous learning and staying up to date with the latest tools and techniques. She also shares insights on building successful multidisciplinary teamsAfter hearing her fascinating PyData NYC keynote, it was such an honor to have her on the show to discuss innovations at the intersection of biochemistry and AI.References and Resourceshttps://michellelynngill.com/Michelle Gill - Keynote - PyData NYC https://www.youtube.com/watch?v=ATo2SzA1Pp4AlexNetAlphaFold - https://www.nature.com/articles/s41586-021-03819-2OpenFold - https://www.biorxiv.org/content/10.1101/2022.11.20.517210v1BioNemo - https://www.nvidia.com/en-us/clara/bionemo/NeurIPS - https://nips.cc/Art Palmer - https://www.biochem.cuimc.columbia.edu/profile/arthur-g-palmer-iii-phdPatrick Loria - https://chem.yale.edu/faculty/j-patrick-loriaScott Strobel - https://chem.yale.edu/faculty/scott-strobelAlexander Rives - https://www.forbes.com/sites/kenrickcai/2023/08/25/evolutionaryscale-ai-biotech-startup-meta-researchers-funding/?sh=648f1a1140cfDeborah Marks - https://sysbio.med.harvard.edu/debora-marksResources to learn more about Learning from Machine Learninghttps://www.linkedin.com/company/learning-from-machine-learninghttps://mindfulmachines.substack.com/https://www.linkedin.com/in/sethplevine/https://medium.com/@levine.seth.p

We're diving into 2024 with Rachel Locke, the Director of the Violence, Inequality, and Power Lab at the Kroc Institute for Peace and Justice at the University of San Diego. She's here to untangle the connections between societal violence and inequality. It's more important than ever, especially at the start of a wild election year.We tackle the challenges caused by the power plays that keep violence and unfairness going. We're not buying into simple stories – we know real solutions come from understanding the complicated mix of issues causing conflicts. Our talk reveals the tough reality of these problems and how the VIP Lab is committed to making real changes in a world that's loudly calling for reform.Finally, we shine a light on the difficulties women and women of color face in politics. The rise in harassment against public figures makes us wonder about where inclusive governance is headed. We discuss what recent studies say about how this kind of bullying challenges mental health and political involvement.(0:00:08) - Exploring Workplace Inclusion and Humanitarian WorkPersonal updates, Felicia's purple hair, and an interview with Rachel Locke on her career journey and creating a better world. (0:08:13) - Exploring Violence, Inequality, and PowerNature's violence and inequality are intertwined, highlighting the importance of addressing power dynamics in the VIP Lab's interdisciplinary approach to applied research. (0:20:39) - Recognizing Complexity in Power DynamicsPower dynamics, complex issues, and binary thinking hinder social justice efforts in addressing violence and promoting change. (0:32:04) - Threats and Harassment Against Public OfficialsNature's alarming increase in threats and harassment towards local officials, particularly women and women of color, may undermine gender balance in political representation. (0:36:21) - Harassment's Impact on Officials' Mental HealthPublic officials face gender-based harassment and threats, cope with limited support, and find therapeutic value in sharing their struggles. (0:55:51) - Amplifying Voices and Embracing PossibilityNature's joy, partnerships for change, personal growth, and the upcoming election year's potential for our future. Visit us at shegeeksout.com to stay up to date on all the ways you can make the workplace work for everyone!

Will Markow is Vice President of Applied Research at Lightcast, a company that connects people with jobs by providing businesses, communities, and education institutions with the best labor market data possible. He joins us to discuss the gap between the demand and supply of cyber workers, the broad implications if this gap is to continue, and how skills-based hiring can narrow the gap and help fill the cyber pipeline. 

Given the recent events in Palestine, I thought it would be a good time to revisit this episode on Lebanon. We'll be back soon with new episodes. -- What does citizenship education look like in a country affected by armed conflict and economic crises? My guest today, Bassel Akar, has closely examined citizenship and history education in Lebanon. Some of his research focuses on the ways in which teachers demonstrate their agency for curricular and pedagogical change through innovative approaches inside the classroom. Bassel Akar is Associate Professor of Education and Director of the Center for Applied Research in Education at Notre Dame University in Lebanon. Last year he published a book entitled Citizenship Education in conflict-affected areas: Lebanon and beyond. www.freshedpodcast.com/basselakar -- Get in touch! Twitter: @FreshEdpodcast Facebook: FreshEd Email: info@freshedpodcast.com Support FreshEd: www.freshedpodcast.com/support/

Paula's Choice Director of Applied Research & Education Desiree Stordahl is back for a deep dive on vitamin C - a skincare ingredient that has been proven to protect and enhance the skin barrier time and time again. Tune in as she explains what vitamin C actually is, its role in preventing free radical damage, the most effective ways to store it, how it interacts with other skincare actives and more! Links to Products Here: Paula's Choice (C15 Super Booster, C5 Super Boost Eye Cream, C5 Super Boost Moisturizer, 25% Vitamin C Serum) Hosted on Acast. See acast.com/privacy for more information.

Tune in as I sit down with friend of the pod Desiree Stordahl, Director of Applied Research & Education at Paula's Choice, to demystify the world skincare. As this industry becomes increasingly more complicated (and even intimidating), Stordahl helps to break down the power behind simple, yet effective holy skincare ingredients like vitamin C, retinol, collagen, and more!Link to Products/Resources Here: 2% BHA Liquid Exfoliant, 10% Azelaic Acid, C15 Booster, SPF 50, 1% Retinol, Omega Cleansing Balm, 0.3 Retinol + 2% Bakuchiol Treatment, 10% Niacinamide, AHA + BHA Peel, 20% Niacinamide, Discoloration Repair Serum, Pro-Collagen Booster, C5 Eye Cream Hosted on Acast. See acast.com/privacy for more information.

This interview from June 16th, 2023 originally aired as a shortened version on the CyberWire Daily Podcast. In this extended interview, Simone Petrella sits down with Will Markow, VP of Applied Research from Lightcast, to discuss how to use data to make strategic workforce decisions. You can also view the video of the full interview here: Simone Petrella and Will Markow discuss workforce management.

This week's conversation is with Dr. Sheila Ohlsson Walker, a Senior Scientist at the Institute for Applied Research in Youth Development at Tufts University and a Visiting Assistant Professor at the Johns Hopkins University School of Education.Sheila's work and research interests lie at the intersection of neuroscience, genetics, psychology and social science, with a focus on how we can create contexts in sport, school and nature settings that unlock the potential of our youth.A former professional tennis player, Sheila knows first-hand the power sport has to build life skills that transfer into careers, and embed wellness habits that foster health and holistic well-being. She knows that adults, through the relationships they form, can activate passion, possibility and a sense of purpose in young people.Accordingly, in this conversation we discuss the science of child development, and how to equip coaches, teachers and parents with the knowledge, skills and mindsets that promote flourishing in young people across life.-----You can also watch this - and every - conversation on our YouTube channel.Connect with us on our Instagram.For more information and shownotes from every episode, head to findingmastery.net.-----Please support our partners!We're able to keep growing and creating content for YOU because of their support. We believe in their mission and would appreciate you supporting them in return!!To take advantage of deals from our partners, head to http://www.findingmastery.net/partners where you'll find all discount links and codes mentioned in the podcast.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.