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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.

The Unfrozen squad descends on Venice to experience inperson the full blunt force of the Biennale. Special guests include: Carlo Ratti, the curator of the 19th Architecture Biennale, Anastasia Sukhoroslova, CEO of All Things Urban, and Michele Champagne, graphic artist and contributor to Volume magazine.--Intro/Outro: “Bounder of Adventure” by The Cooper Vane

ABOUT TREVOR BULLEN:LINKEDIN PROFILE:  https://www.linkedin.com/in/trevor-bullen-6b55b615/DUNWOODY COLLEGE OF TECHNOLOGY: https://www.linkedin.com/school/dunwoody-college-of-technology/TREVOR'S BIO:Trevor is the Dean of the School of Design at Dunwoody College of Technology. He is an award-winning architect with over 25 years of professional experience. He has significant international experience; working on a wide range of architecture, landscape architecture and planning projects in Europe, the Caribbean, and the United States. In addition to his role as Dean, Trevor has taught architectural design at the Boston Architectural College, the City College of New York as well as the University of Minnesota and is a frequent guest critic at schools of architecture nationwide.Prior to joining Dunwoody, he was a Senior Associate and Director of Operations at Snow Kreilich Architects, the recipient of the 2018 AIA Architecture Firm Award. From 2000 to 2016, he co-founded and led an architecture and planning studio on the island of Grenada, completing more than 30 built projects. The work of his firm has been published extensively in journals and books as well as being exhibited at the 2021 Architecture Biennale in Venice. SHOW INTRO:Welcome to the NXTLVL Experience Design podcast.EPISODE 74… and my conversation with Trevor Bullen. On the podacast our dynamic dialogues based on our acronym DATA - design, architecture, technology, and the arts crosses over disciplines but maintains a common thread of people who are passionate about the world we live in and human's influence on it, the ways we craft the built environment to maximize human experience, increasing our understanding of human behavior and searching for the New Possible.    The NXTLVL Experience Design podcast is presented by VMSD Magazine part of the Smartwork Media family of brands.VMSD brings us, in the brand experience world, the International Retail Design Conference. The IRDC is one of the best retail design conferences that there is bringing together the world of retailers, brands and experience place makers every year for two days of engaging conversations and pushing the discourse forward on what makes retailing relevant. You will find the archive of the NXTLVL Experience Design podcast on VMSD.com.Thanks also goes to Shop Association the only global retail trade association dedicated to elevating the in-store experience. SHOP Association represents companies and affiliates from 25 countries and brings value to their members through research, networking, education, events and awards. Check then out on SHOPAssociation.orgTrevor is the Dean of the School of Design at Dunwoody College of Technology. He is an award-winning architect with over 25 years of professional experience who believes that design and teaching architecture is synonymous with discernment.We'll get to all of that in a moment but first though, a few thoughts…                 *                                  *                                  *When I think back to my architecture education, it seems like another universe to today's practice. And then again, in some ways it is much the same.Architecture school was 4 long years of hard work and all-nighters that, at the time, we wore as a badge of honor. It seemed that there was never enough time to do what we were being asked to accomplish. Or maybe I was trying to do more than was necessary to fulfill the learning objectives. I certainly felt I had a lot to prove since it had taken me a couple of years to finally get accepted into the program after not doing particularly well at calculus and linear algebra in junior college. I also took extra math in fifth grade. Yeah… math wasn't my thing.Or at least it wasn't my thing until I had a good tutor in second year who helped me understand that I was visual spatial learner and if I could draw or make models of the problems they would all make sense. Seeing algorithms… my eyes would roll back in my head.Anyway…I stuck with it, took every drawing class I could, loved design studio and managed the engineering. I was proud to graduate from the McGill School of Architecture school, go on to study for my licensing exams - another series of all-nighters – pass and be able to enter the profession of reserved title and call myself an “Architect.”I was proud to wear the traditional pinky-finger white gold ring with 7 notches in it representing the 7 Lamps of Architecture by John Ruskin. Ruskin was an English polymath – a writer, lecturer, art historian, art critic, draughtsman and philanthropist of the Victorian era. The Seven Lamps were seven principles which Ruskin viewed should be reflected in a building: Sacrifice, Truth, Power, Beauty, Life, Memory, and Obedience. The white gold ring was a tradition of McGill 4th year architecture graduates, as symbols of having legitimately put the time in, done the work on the design thesis and survived it. In those days we drew our projects by hand and built models in the workshop. We got our hands dirty. There were 4 years of design studio projects that, in the real world, would take months or more, and we were trying to get them done in weeks. Back in those days, the mid 80's, Computer Aided Design was emerging as a new tool. I remember that we had to take a class in computer programming – I think it was Fortran or something – and we had dinosaur computers that some students were playing around with to create drawings.In the mid-80's email didn't exist, or not to students in any case,Cell phones had just arrived with the Morotrola DynaTec 8000 which was the size of a brick and weighed almost the same, We used this thing called a fax machine that magically sent images across the telephone wires and could print it out on the other end on thermal paper (which you didn't want to leave on the window sill, because it would fade away),The blue print shop was an ammonia fumigated workplace where diazo prints, as they were technically called,  were actually blue hence the term “blue prints.”We used pencils or ink pens on paper or mylar, and if you screwed up you actually used an eraser to rub the error out and you drew it again.I remember one of my first summer jobs in an architecture office, I was quickly assigned renderings due to my love of drawing. I had made some mistakes when plotting out a perspective using the Plan Projection Method, and I was erasing what I had drawn. One of the principals came by my desk, stopped, watched and then remarked “hey… we hired you to draw not erase…” and then walked away.Nice…Our go to reference books were by Francis D.K Ching – ah… the drawings and hand lettering in “Architecture Construction Illustrated”, or “Form Space and Order”And… the social media, google, Ai and computer generated 3D modeling didn't exist.It wasn't until around 2005 or so that Facebook became popular and the iPhone came out in 2007.Then the world seemed to shift on it axis and life as we know it was on the path towards Artificial General Intelligence and all of the miraculous - and scary - things we are now so familiar with shaped our everyday lives. The world sped up and the way I learned in university was both a thing of the past and then again it wasn't.Many of the ways architecture is taught are similar to my experience. Courses are taught as individual, disaggregated subjects, that graduates have to piece together in actual life experience. A wholistic approach to learning the discipline of architecture is not generally the norm. Which when you consider all of the components of a building it is a challenge since everything is connected to everything and the amount of ‘everything' in a building can indeed be overwhelming if you try to consider it all at the same time.The number of professional and skilled labor disciplines is enormous. And most of us simply see buildings as ‘fait a complis' – completed works - with no idea what actually had to be wrangled to go from concept to completed construction.Going back to social media and the internet for a moment, students now have never known a time without ubiquitous access to the world's information through the internet. The tools for designing buildings have changed.One could say it is easier to some degree now. Computer programs manage all of the interrelationships between engineering, architecture, building systems, interior design elements, as well as the cost estimating, construction management and more.It is also easier to rely on tools to think for you and disconnect you from discernment – one of the key features of the architects' role in puting a building together.And this is where my guest on this episode comes into the frame. Trevor Bullen is the Dean of the School of Design at Dunwoody College of Technology. Trevor is an award-winning architect with over 25 years of professional experience. He has significant international experience, working on a wide range of architecture, landscape architecture and planning projects in Europe, the Caribbean, and the United States.In addition to his role as Dean, Trevor has taught architectural design at the Boston Architectural College, the City College of New York as well as the University of Minnesota and is a frequent guest critic at schools of architecture nationwide.He believes in introducing real world problems into the architecture curriculum so that students begin to understand the relationships between theory and practice as well as that good projects are built on good relationships between architects and their clients.He suggests to students that new tools should not supplant their discernment – That key to their success as a professional will be their ability to consider the multitude of factors in building design, determine what matters and to not let the remarkable tools that are afforded us through the development of computer aided design relace their voice.Trevor pushes the idea that great advances in visualization with Ai should not be and end in itself but a means to that end. The tools should be a part of the process not the end point in the evolution of a concept and that their personal voice, point of view, vision should not be lost in the use of the app.And in Trevor's experience, oh what a voice students of today have. Projects are influenced by subjects of racial equity, restorative justice, indigeneity, political orientations, sustainability and climate change and more.And this, it seems to me, is what architecture has always been partly about – the 3-dimensional representation of cultural ideologies. Architecture and ideas are inseparable. Buildings stand as testaments to what we believe, want to influence and aspire to. They are much more than the materials that bring them into being or the space planning at accommodate human interactions. They are epicenters of human relationships imbued with stories and meaning. That said, it brings to mind the famous quote by Marshal McLuhan - "The medium is the message." McLuhan suggested that the way information or an idea is communicated, like in a television broadcast, newspaper, social media post or I dare say architecture, has as much impact on the message itself as the content of the message.I think that this suggests that the form of communication, even if the form of architecture, significantly influences how the message is perceived by the audience.In architecture parlance – I think Mies van der Rohe phrased it as “Form Follows Function.” If beyond utility, architecture is made to convey ideas, then its Form, Space and Order are brought together as a 3-dimension embodiment of them.Thinking back to my architecture education, the tools of today's professional practice have drastically changed and some of my classmates when on to other careers other than being architects, but the education we got then gave us a understating of the interconnectedness of things and the ability to solve multilayered challenges while wielding stone, steel, glass, light all forged into a unified whole by learned discernment. Teaching discernment is not just in the service of good building design and construction, it is a life skill as emerging students navigate the volatile, unpredictable, complex and often ambiguous world that face them beyond their architecture degree.             *                         *                         *ABOUT DAVID KEPRON:LinkedIn Profile: linkedin.com/in/david-kepron-9a1582bWebsites:  https://www.davidkepron.com    (personal website)vmsd.com/taxonomy/term/8645  (Blog)Email: david.kepron@NXTLVLexperiencedesign.comTwitter: DavidKepronPersonal Instagram: https://www.instagram.com/davidkepron/NXTLVL Instagram: https://www.instagram.com/nxtlvl_experience_design/Bio:David Kepron is a multifaceted creative professional with a deep curiosity to understand ‘why', ‘what's now' and ‘what's next'. He brings together his background as an architect, artist, educator, author, podcast host and builder to the making of meaningful and empathically-focused, community-centric customer connections at brand experience places around the globe. David is a former VP - Global Design Strategies at Marriott International. While at Marriott, his focus was on the creation of compelling customer experiences within Marriott's “Premium Distinctive” segment which included: Westin, Renaissance, Le Meridien, Autograph Collection, Tribute Portfolio, Design Hotels and Gaylord hotels. In 2020 Kepron founded NXTLVL Experience Design, a strategy and design consultancy, where he combines his multidisciplinary approach to the creation of relevant brand engagements with his passion for social and cultural anthropology, neuroscience and emerging digital technologies. As a frequently requested international speaker at corporate events and international conferences focusing on CX, digital transformation, retail, hospitality, emerging technology, David shares his expertise on subjects ranging from consumer behaviors and trends, brain science and buying behavior, store design and visual merchandising, hotel design and strategy as well as creativity and innovation. In his talks, David shares visionary ideas on how brand strategy, brain science and emerging technologies are changing guest expectations about relationships they want to have with brands and how companies can remain relevant in a digitally enabled marketplace. David currently shares his experience and insight on various industry boards including: VMSD magazine's Editorial Advisory Board, the Interactive Customer Experience Association, Sign Research Foundation's Program Committee as well as the Center For Retail Transformation at George Mason University.He has held teaching positions at New York's Fashion Institute of Technology (F.I.T.), the Department of Architecture & Interior Design of Drexel University in Philadelphia, the Laboratory Institute of Merchandising (L.I.M.) in New York, the International Academy of Merchandising and Design in Montreal and he served as the Director of the Visual Merchandising Department at LaSalle International Fashion School (L.I.F.S.) in Singapore.  In 2014 Kepron published his first book titled: “Retail (r)Evolution: Why Creating Right-Brain Stores Will Shape the Future of Shopping in a Digitally Driven World” and he is currently working on his second book to be published soon. David also writes a popular blog called “Brain Food” which is published monthly on vmsd.com.  The next level experience design podcast is presented by VMSD magazine and Smartwork Media. It is hosted and executive produced by David Kepron. Our original music and audio production by Kano Sound. The content of this podcast is copywrite to David Kepron and NXTLVL Experience Design. Any publication or rebroadcast of the content is prohibited without the expressed written consent of David Kepron and NXTLVL Experience Design.Make sure to tune in for more NXTLVL “Dialogues on DATA: Design Architecture Technology and the Arts” wherever you find your favorite podcasts and make sure to visit vmsd.com and look for the tab for the NXTLVL Experience Design podcast there too.

We report from the Tallinn Architecture Biennale and meet one of the designers behind Cathay Pacific's new Business Class suites. Plus: an exhibition in London explores the role of ceramics in furniture design.See omnystudio.com/listener for privacy information.

Oana Bogdan and Olaf Grawert discuss about the possible ways of political commitment in architecture. They share ideas and professional experiences confronting the rhetoric of conventional politics that keep citizens away from the debate and from the design and construction of the city. Oana Bogdan is a Belgium-Romanian architect. She founded the architectural firm Bogdan & Van Broeck, now reconfigured as &Bogdan which stands for cooperation. Her problem-solving mentality and cooperative ethos questions the architect's traditional role, believing that the profession's skills can be used to navigate the complexity of many areas of life. She took the role of Secretary of State for cultural heritage in the Romanian Government which assumed leadership of the country in 2016. In 2021 she was appointed Chairwoman of the ‘Good Living' Expert Committee in charge of the reform of Brussels Region's building code. Olaf Grawert works as a partner at the collaborative architecture practice bplus.xyz (Berlin), as a lecturer at station.plus (Department of Architecture, ETH Zurich) and in spring as an Adjunct Professor at the Politecnico in Milan. In 2021, he was co-curator of 2038 - The New Serenity, the German Pavilion at the 17th Architecture Biennale in Venice. As part of HouseEurope! a non-profit organization, he is currently co-organizing an European Citizens' Initiative aimed at boosting the renovation of existing buildings, to stop their demolition driven by speculation. bplus.xyz is known for its adaptive reuse projects of building ruins and industrial facilities that have fallen out of use.

Transdisciplinary artist and biohacker Heather Dewey-Hagborg shares her latest work on future pigs and hybrids.Keep up with Heather Dewey-HagborgWebsite | InstagramAbout Heather Dewey-HagborgDr. Heather Dewey-Hagborg is a New York-based artist and biohacker who is interested in art as research and technological critique. Her controversial biopolitical art practice includes the project Stranger Visions in which she created portrait sculptures from analyses of genetic material (hair, cigarette butts, chewed up gum) collected in public places.Heather has shown work internationally at events and venues including the World Economic Forum, the Daejeon Biennale, the Guangzhou Triennial, and the Shenzhen Urbanism and Architecture Biennale, Transmediale, the Walker Center for Contemporary Art, the Philadelphia Museum of Art, and PS1 MoMA. Her work is held in public collections of the Centre Pompidou, the Victoria and Albert Museum, SFMoMA, among others, and has been widely discussed in the media, from the New York Times and the BBC to Art Forum and Wired.Heather has a PhD in Electronic Arts from Rensselaer Polytechnic Institute. She is an Artist-in-Residence at the Exploratorium, and is an affiliate of Data & Society. She is a founding board member of Digital DNA, a European Research Council funded project investigating the changing relationships between digital technologies, DNA and evidence.

Heather Dewey-Hargborg, American artist and bio-hacker most knowned for the project Stranger Visions. Ana Brígida for The New York Times Dr. Heather Dewey-Hagborg is a transdisciplinary artist and educator who is interested in art as research and critical practice. Her controversial biopolitical art practice includes the project Stranger Visions in which she created portrait sculptures from analyses of genetic material (such as hair, cigarette butts, or chewed up gum) collected in public places. Heather has shown work internationally at events and venues including the World Economic Forum, the Daejeon Biennale, and the Shenzhen Urbanism and Architecture Biennale, the Van Abbemuseum, Transmediale and PS1 MOMA. Her work is held in public collections of the Centre Pompidou, the Victoria and Albert Museum, the Wellcome Collection, and the New York Historical Society, among others, and has been widely discussed in the media, from the New York Times and the BBC to Art Forum and Wired. Heather has a PhD in Electronic Arts from Rensselaer Polytechnic Institute. She is a visiting assistant professor of Interactive Media at NYU Abu Dhabi, an artist fellow at AI Now, an Artist-in-Residence at the Exploratorium, and is an affiliate of Data & Society. Hybrid (Trailer) from Heather Dewey-Hagborg on Vimeo. Installation view, Heather Dewey-Hagborg, Hybrid: an Interspecies Opera. Courtesy of the artist and Fridman Gallery. Still from Heather Dewey-Hagborg, Hybrid: an Interspecies Opera. Courtesy of the artist and Fridman Gallery.

Hey! This episode wraps us the Global Architects theme and this years episode releases. We're closing the podcast early this year to wrap up projects behind the scenes. I'd like to say a big thank you to our listeners, supporters and sponsors for tuning in throughout the year and I hope you enjoyed our conversations! I'm looking forward to exciting plans for next year but in the meantime, don't hesitate to catch up on any episodes you may have missed. Our guest today is Trevor is the Dean of the School of Design at Dunwoody College of Technology. He is an award-winning architect with over 25 years of professional experience. He has significant international experience; working on a wide range of architecture, landscape architecture and planning projects in Europe, the Caribbean, and the United States. In addition to his role as Dean, Trevor has taught architectural design at the Boston Architectural College, the City College of New York as well as the University of Minnesota and is a frequent guest critic at schools of architecture nationwide. Prior to joining Dunwoody, he was a Senior Associate and Director of Operations at Snow Kreilich Architects, the recipient of the 2018 AIA Architecture Firm Award. From 2000 to 2016, he co-founded and led an architecture and planning studio on the island of Grenada, completing more than 30 built projects. The work of his firm has been published extensively in journals and books as well as being exhibited at the 2021 Architecture Biennale in Venice. This episode was refreshing! I appreciate Trevors honesty in navigating the worlds of architecture practice and academia as a Global Architect. He gave us insight on practicing in different countries, why he had to break out of the crowd and differences between practice and academia.

The Venice Architecture Biennale is one of the most important building exhibitions in the world. For the first time, Ghanaian-Scottish architect Lesley Lokko dons the curatorial hat.

Today our guests are Ivi Diamantopoulou and Jaffer Kolb of New Affiliates an architecture practice working between Athens and New York. Ivi Diamantopoulou is a graduate of Princeton University, where she was awarded the Suzanne Kolarik Underwood Prize for excellence in design and the Stanley J. Seeger fellowship; and a Diploma with honors graduate of Architecture and Engineering from the University of Patras, Greece. She is a registered architect in NY and Greece, with over a decade of experience in design and built work. Ivi frequently teaches design, history and theory of architecture, among others at Columbia and Syracuse Universities. Jaffer Kolb is a graduate of Princeton University, with a Master of Urban Planning from the London School of Economics, and a Bachelor of Arts in Film Studies from Wesleyan University. Jaffer worked on the 13th Architecture Biennale of Venice under David Chipperfield and was the US editor for the Architectural Review. Jafer teaches at Yale School of Architecture and Columbia GSAPP. Ivi and Jaffer joined us as speakers at the ESO Conference in June in Athens, Greece organized by Vasilis.

Vuslat Doğan Sabancı is a business leader, a philanthropist and a leading voice on human rights, gender equality and freedom of expression both in Turkey and globally. In her 22 years at Hürriyet Publishing, the leading newspaper in Turkey, Ms. Doğan Sabancı served as the CEO between 2004-2008 and as the Chair of the Board of Directors for the following ten years. She left her position in May 2018 when the Doğan family divested from all of their major media assets. Under Ms. Doğan Sabancı’s leadership, Hürriyet not only succeeded to be the largest and most influential newspaper in Turkey, but also became the country’s largest digital content company, reaching one of every two internet user in Turkey. While leading this digital transformation, she also spearheaded an editorial policy for promoting gender equality and minority rights and played a major role in the improvement of such rights in the public perception as well as in the legal system. The "No! To Domestic Violence" initiative, which she established in 2004 to advance the social empowerment of women, was the first example of her efforts to use media in order to create major positive social change. Through this initiative, which now continues under the umbrella of the Aydın Doğan Foundation, a major taboo was broken in Turkey through widespread educational programs geared at the general public, including everyone from imams to policemen. Launched as part of the initiative, Turkey's first ever 24/7 domestic violence hotline remains in operation today, and is also accessible to Turkish speaking communities around the world. In 2020, Ms. Doğan Sabancı established Vuslat Foundation (https://www.vuslatfoundation.org/en), Turkey’s first and only global philanthropic initiative. The foundation aims to put the skill of generous listening— hearing beyond words— to oneself, others and nature at the center of all our connections by 2030. In line with this mission, the foundation supports academic research regarding listening, creates awareness through work with artists and storytellers and develops generous listening practices for youth and civil society. The foundation was invited as a special project partner to the 17th Architecture Biennale which took place between May - November 2021, and presented a monumental installation 'The Listener' by globally acclaimed artist Giuseppe Penone. The artwork intended to draw attention to listening as a significant thread within the exhibition's theme, 'How Will We Live Together?' With the collaboration of Vuslat Foundation, a Generous Listening and Dialogue (GLAD) Center was launched at Tufts University. Housed at the Tisch College of Civic Life, the GLAD Center will collaborate with schools and departments across the entire university, building on the expertise of Tufts’ faculty, research centers and civic engagement programs. Its programming and interdisciplinary initiatives will help students, staff and faculty develop skills and awareness, address hard issues, and generate new knowledge. At the Massachusetts Institute of Technology, a ‘Vuslat Foundation Fellowship for Generous Listening’ was launched at The Transmedia Storytelling Initiative in the School of Architecture and Planning. Vuslat Doğan Sabancı holds a BA degree in Economics from Bilkent University and completed her graduate studies in International Relations and Media at Columbia University, in New York. Currently, she is a Member of the Board of Directors of Doğan Group, Hepsi Emlak and Hepsiburada. She is the Vice President of Aydın Doğan Foundation which promotes girls education and women empowerment in Turkey. She serves as a member of the Columbia Global Centers Advisory Board and the Columbia University Global Leadership Council. She is a member of the Board of Leaders at the Leaders for Peace. She is a Founding Board Member of Endeavor Turkey, an NGO cultivating high-impact entrepreneurship, a founding member of Turkish Businesswomen Association (TIKAD) and an active member of the Ashoka Support Network in Turkey. She is also a Board Member of Global Relations Forum (GIF/GRF), and a member of the Global Philanthropy Circle Members of Synergos.See omnystudio.com/listener for privacy information.

For Breezeblock 23, Charlie talks to fellow editors Chiara Dorbolò and Daphne Bakker about Stories on Earth, Failed Architecture's contribution to the public parallel programme of the Dutch Pavilion during the 17th International Architecture Exhibition of La Biennale di Venezia.

Continuing our theme of ‘futures', we are delighted to share a conversation between artist and writer Diann Bauer with writer and theoretician Suhail Malik about time. The focus of Diann's research is time outside of human experience and how it impacts how we live in relation to the anthropocene. With this in mind the conversation begins with an quote from a 2016 article by Malik and Armen Avanessian about the idea of ‘The Speculative Time Complex' where Suhail says: 'The main reason for the speculative reorganisation of time is the complexity and scale of social organisation today. Systems, infrastructures and networks are now the leading conditions of complex societies rather than individual human agents. Correspondingly, human experience loses its primacy, as do the semantics and politics based on it. The present as the primary category of human experience, which has been the basis for both the understanding of time and of what time is, also loses its priority in favor of what we could call a speculative time-complex. Complex societies — which means more-than-human societies at scales of sociotechnical organization that surpass phenomenological determination — are those in which the past, the present and the future enter into an economy where maybe none of these modes is primary, or where the future replaces the present as the lead structuring aspect of time.' Using this as a starting point, they speak about finance, insurance, risk, scale, climate collapse and our relationship to an unknown future that is none-the-less the conditioning force of our present. Read ‘The Speculative Time Complex': http://dismagazine.com/blog/81218/the-speculative-time-complex-armen-avanessian-suhail-malik/ Watch 'Rumsfeld Epistimology of Climate Change': https://vimeo.com/579819571 Diann Bauer is an artist & writer based in London. She is currently a researcher at Westminster University working on questions regarding the discrepancy between time at extra-human scale & the linear persistence of temporality focusing on what this discrepancy means for how we understand ourselves as a species in relation to the anthropocene. Much of her practice is collaborative & interdisciplinary with projects including Laboria Cuboniks, with whom she collaboratively wrote and published Xenofeminism, A Politics for Alienation in 2015. (laboriacuboniks.net) & A.S.T. (the Alliance of the Southern Triangle), a working group of artists, architects & curators who's focus is urbanism & climate change. Bauer has screened and exhibited independently at Tate Britain, The ICA, The Showroom & FACT Liverpool, Deste Foundation, Athens, The New Museum, & Socrates sculpture park, New York. She has done projects with Arts at CERN & recently worked as part of a team on the German Pavilion for the 2021 Architecture Biennale in Venice. She has taught & lectured widely at universities & cultural institutions including: Cornell University, Yale University, the New School and Cooper Union (US), HKW (Germany), ETH (Switzerland), DAI (Netherlands), Ashkal Alwan (Lebanon), The Tate & the ICA London. Suhail Malik is Co-Director of the MFA Fine Art, Goldsmiths, London, where he holds a Readership in Critical Studies. Recent & forthcoming publications include, as author, ContraContemporary: Modernity's Unknown Future (Urbanomic) & 'The Ontology of Finance' in Collapse 8: Casino Real (2014). Malik is co-editor of The Flood of Rights (2017), a Special Issue of the journal Finance and Society on 'Art and Finance' (2016), Genealogies of Speculation (2016), The Time-Complex. Postcontemporary (2016), & Realism Materialism Art (2015). Royalty free music generously shared by Steve Oxen. FesliyanStudios.com The technecast is run by Julien Clin (@ClinJulien) & Polly Hember (@pollyhember). Please email technecaster@gmail.com if you would like to be featured on the podcast. Follow us on twitter @technecast to keep an eye out for the latest themed call for papers.

Quando diciamo 'noi' in effetti cosa intendiamo? O meglio, cosa escludiamo? Quando diciamo noi spesso non solo escludiamo determinati gruppi marginalizzati, ma escludiamo anche tutta una serie di elementi non umani che invece fanno parte dell'ecosistema e del mondo urbano che ci circonda. Parte da questa riflessione l'esposizione del Padiglione Olandese alla Biennale di Architettura 2021. Una conversazione interessantissima. LINKhttps://www.dezeen.com/2021/05/20/dutch-pavilion-venice-architecture-biennale-who-is-we-exhibition/This podcast with English subtitles / Il podcast con sottotitoli in inglesehttps://youtu.be/OHE4VRhuD1UTESTO TRASCRITTO (English below)Quando diciamo 'noi' in effetti cosa intendiamo? O meglio, cosa escludiamo? Quando diciamo noi spesso non solo escludiamo determinati gruppi marginalizzati, ma escludiamo anche tutta una serie di elementi non umani che invece fanno parte dell'ecosistema e del mondo urbano che ci circonda. Queste considerazioni profonde e molto interessanti non sono mie ma sono quelle da cui parte il padiglione olandese alla Biennale di Venezia. Sì torno ancora alla Biennale di Venezia perché quando vedi una cosa che ti ispira, poi appunto è questa la cosa bella del vedere l'arte, che l'arte ti ispira e rimane con te e ti fa pensare ben oltre i momenti in cui l'hai vista. Ricordo che il tema generale della Biennale quest'anno, che è la Biennale di Architettura, è How will we live together - come è che potremo vivere insieme, è appunto nel padiglione olandese hanno elaborato questa questa domanda chiedendosi a loro volta 'who is we'? chi è, chi siamo noi quando parliamo al plurale? Di chi stiamo veramente parlando? In effetti stiamo parlando probabilmente del 10% delle cose, delle persone degli, esseri viventi che popolano la Terra perché a progettare le città a parlare del discorso urbanistico poi è sempre una ristretta cerchia di persone. Invece appunto gli architetti del padiglione olandese cercano di ribaltare questo paradigma e di pensare in termini molto più ampi, dove il noi include non solo le persone solitamente lasciate ai margini ma anche importanti entità non umane come ad esempio le piante e come gli animali, e fanno tutta una serie di considerazioni che porteranno avanti fino a novembre, finisce a novembre la Biennale di Architettura, portano avanti tutta una serie di considerazioni appunto sullo spazio, sull'uso di spazi urbani che siano più accoglienti di tutte le specie di tutti i generi e di tutte le persone, insomma una riflessione che fa ben sperare diciamo su quello che può essere il futuro delle nostre città dei nostri luoghi e permettetemi di usare una parola che non mi piace per niente usare ma quello delle comunità resilienti, delle comunità che resistono non solo resistono ma resistono benissimo e fioriscono fanno delle diversità il loro punto di forza. Ecco vi voglio lasciare oggi con quest'immagine: quando vi guardate intorno la prossima volta pensate a noi ma pensate a un noi che include anche le piante anche gli animali e tutto quello che ci circonda.ENGLISH TRANSLATIONWhen we say 'we' what do we actually mean? Or rather, what do we exclude? When we say ‘we' we often not only exclude certain marginalized groups, but we also exclude a whole series of non-human elements that are part of the ecosystem and the urban world that surrounds us. These profound and very interesting considerations are not mine but they are the ones from which the Dutch pavilion at the Venice Biennale starts. Yes, I go back to the Venice Biennale because when you see something that inspires you, then precisely this is the beautiful thing about art, art inspires you and stays with you and makes you think far beyond the moments in which you have seen it. I remind you that general theme of the Biennale this year, which is the Architecture Biennale, is ‘How will we live together' and specifically in the Dutch pavilion they process this question asking themselves 'who is we?' who are 'we' when we speak in the plural? Who are we really talking about? In reality, we are probably talking about 10% of things, of people, of living beings that populate the Earth because it is always a small circle of people who design cities, who talk about urban planning. But instead, the architects of the Dutch pavilion try to overturn this paradigm and to think in much broader terms, where ‘we' includes not only those people usually marginalised, but also important non-human entities such as plants and animals, and they make a whole series of considerations that will carry on until November, the Architecture Biennale ends in November, they carry out a whole series of considerations precisely on space, on the use of urban spaces that are more welcoming of all species, of all kinds, of all people, in short, a reflection that bodes well, let's say on what the future of our cities and our places can be and allow me to use a word that I do not like to use at all but that of ‘resilient' communities, communities that resist, that not only resist but that resist very well and flourish making of diversity their strong point. Here I want to leave you today with this image: when you look around next time do think of ‘us' but think of us that also includes plants, animals and everything around us.

Prosecutors begin a criminal probe into Donald Trump’s business interests. Plus: Nato’s role in Kosovo; Australia’s reluctance to reopen to the rest of the world; and the Monocle team on the significance of Venice’s Architecture Biennale.

There are no swarms of tourists in Venice this year. Large cultural events like the Architecture Biennale have been cancelled, and there is no sign of ocean liners or cruise ships. This unusual stillness is giving Venice a chance to enjoy itself as the fish return to the canals.

One of the biggest Covid-19 casualties in the art world is the postponement of the Venice Art Biennale from 2021 until 2022. Italy has been one of the country's hardest hit by the pandemic, forcing it to postpone both the Contemporary Art Biennale and the Architecture Biennale that was to open later this year. For some it could be a blessing having more time, for others a disappointment because of all the work that goes into representing your country. Yuki Kihara the multi disciplinary artist representing NZ at Venice talks about the implications for her; and Michael Moynahan (Arts Council Chair) says the postponement was a good call.

This week bad at sports presents a panel on making and being presented at Hauser and Wirth by our partners BFAMFAPhD. Event 2: Artist-Run Spaces How do artists create contexts for encounters with their projects that are aligned with their goals? Friday 2/1 from 6-8pm Linda Goode-Bryant, Heather Dewey-Hagborg, and Salome Asega Linda Goode-Bryant is the Founder and President of Active Citizen Project and Project EATS. She developed Active Citizen Project while filming the 2004 Presidential Elections and developed Project EATS during the 2008 Global Food Crisis. She is also the Founder and Director of Just Above Midtown, Inc. (JAM), a New York City non-profit artists space. Linda believes art is as organic as food and life, that it is a conversation anyone can enter. She has a Masters of Business Administration from Columbia University and a Bachelor of Arts Degree in painting from Spelman College and is the recipient of a Guggenheim Fellowship and a Peabody Award.   Heather Dewey-Hagborg is a transdisciplinary artist who is interested in art as research and critical practice. Heather has shown work internationally at events and venues including the World Economic Forum, the Shenzhen Urbanism and Architecture Biennale and PS1 MOMA. Her work is held in public collections of the Centre Pompidou, the Victoria and Albert Museum, and the New York Historical Society, and has been widely discussed in the media, from the New York Times to Art Forum. Heather is also a co-founder of REFRESH, an inclusive and politically engaged collaborative platform at the intersection of Art, Science, and Technology.   Salome Asega is an artist and researcher based in New York. She is the Technology Fellow in the Ford Foundation's Creativity and Free Expression program area, and a director of POWRPLNT, a digital art collaboratory in Bushwick. Salome has participated in residencies and fellowships with Eyebeam, New Museum, The Laundromat Project, and Recess Art. She has exhibited and given presentations at the 11th Shanghai Biennale, Performa, EYEO, and the Brooklyn Museum. Salome received her MFA from Parsons at The New School in Design and Technology where she also teaches.   Upcoming Event: Building Cooperatives What if the organization of labor was integral to your project? Friday 2/22 from 6-8pm Members of Meerkat Filmmakers Collective and Friends of Light RSVP https://www.eventbrite.com/e/making-and-being-building-cooperatives-tickets-54313881281?aff=ebdssbdestsearch   BFAMFAPhD Making and Being is a multi-platform pedagogical project that offers practices of contemplation, collaboration, and circulation in the visual arts. Making and Being is a book, a series of videos, a deck of cards, and an interactive website with freely downloadable content created by authors Susan Jahoda and Caroline Woolard with support from Fellow Emilio Martinez Poppe and BFAMFAPhD members Vicky Virgin and Agnes Szanyi. Bio BFAMFAPhD is a collective that employs visual and performing art, policy reports, and teaching tools to advocate for cultural equity in the United States. The work of the collective is to bring people together to analyze and reimagine relationships of power in the arts. BFAMFAPhD received critical acclaim for Artists Report Back (2014), which was presented as the 50th anniversary keynote at the National Endowment for the Arts and was exhibited at the Brooklyn Museum, the Museum of Art and Design, Gallery 400 in Chicago, Cornell University, and the Cleveland Institute of Art. Their work has been reviewed in The Atlantic, the New York Times, the Washington Post, the New Yorker, Andrew Sullivan’s The Dish, WNYC, and Hyperallergic, and they have been supported by residencies and fellowships at the Queens Museum, Triangle Arts Association, NEWINC and PROJECT THIRD at Pratt Institute. BFAMFAPhD members Susan Jahoda and Caroline Woolard are now working on Making and Being, a multi-platform pedagogical project which offers practices of collaboration, contemplation, and social-ecological analysis for visual artists.

Duncan catches up with two of the members of BFAMFAPhD for a chat about the upcoming event series, which for those of you in NYC starts friday with MAKING & BEING.   Conversations about Art & Pedagogy co-presented by BFAMFAPhD & Pioneer Works, hosted by Hauser & Wirth, with media partners Bad at Sports and Eyebeam.   image credit... BFAMFAPhD, Making and Being Card Game, print version, 2016-2018, photograph by Emilio Martinez Poppe. Full details below... ____________________________   Hauser & Wirth   BFAMFAPhD is a collective that employs visual and performing art, policy reports, and teaching tools to advocate for cultural equity in the United States.   Pioneer Works is a cultural center dedicated to experimentation, education, and production across disciplines.   Contemporary art talk without the ego, Bad at Sports is the Midwest's largest independent contemporary art podcast and blog. Eyebeam is a platform for artists to engage society’s relationship with technology.   Access info:   The event is free and open to the public. RSVP is required through www.hauserwirth.com/events.   The entrance to Hauser & Wirth Publishers Bookshop is at the ground floor and accessible by wheelchair. The bathroom is all-gender. This event is low light, meaning there is ample lighting but fluorescent overhead lighting is not in use. A variety of seating options are available including: folding plastic chairs and wooden chairs, some with cushions.   This event begins at 6 PM and ends at 8 PM but attendees are welcome to come late, leave early, and intermittently come and go as they please. Water, tea, coffee, beer and wine will be available for purchase. The event will be audio recorded. We ask that if you do have questions or comments after the event for the presenters that you speak into the microphone. If you are unable to attend, audio recordings of the events will be posted on Bad at Sports Podcast after the event.   Parking in the vicinity is free after 6 PM. The closest MTA subway station is 23rd and 8th Ave off the C and E. This station is not wheelchair accessible. The closest wheelchair accessible stations are 1/2/3/A/C/E 34th Street-Penn Station and the 14 St A/C/E station with an elevator at northwest corner of 14th Street and Eighth Avenue. ____________________________ "While knowledge and skills are necessary, they are insufficient for skillful practice and for transformation of the self that is integral to achieving such practice.” - Gloria Dall’Alba BFAMFAPhD presents a series of conversations that ask: What ways of making and being do we want to experience in art classes? The series places artists and educators in intimate conversation about forms of critique, cooperatives, artist-run spaces, healing, and the death of projects. If art making is a lifelong practice of seeking knowledge and producing art in relationship to that knowledge, why wouldn’t students learn to identify and intervene in the systems that they see around them? Why wouldn't we teach students about the political economies of art education and art circulation? Why wouldn’t we invite students to actively fight for the (art) infrastructure they want, and to see it implemented?   The series will culminate in the launch of Making and Being, a multi-platform pedagogical project that offers practices of collaboration, contemplation, and social-ecological analysis for visual artists. Making and Being is a book, a series of videos, a deck of cards, and an interactive website with freely downloadable content created by authors Susan Jahoda and Caroline Woolard with support from Fellow Emilio Martinez Poppe and BFAMFAPhD members Vicky Virgin and Agnes Szanyi.   ____________________________   SCHEDULE ____________________________ Modes of Critique   What modes of critique might foster racial equity in studio art classes at the college level?   Friday 1/18 from 6-8pm Billie Lee and Anthony Romero of the Retooling Critique Working Group Respondent: Eloise Sherrid, filmmaker, The Room of Silence   Billie Lee is an artist, educator, and writer working at the intersection of art, pedagogy, and social change. She holds a BFA from the Rhode Island School of Design, an MFA from Yale University, and is a doctoral candidate at the University of Hawai‘i at Mānoa in American Studies. She has held positions at the Queens Museum, the Yale University Art Gallery, Doris Duke Foundation for Islamic Art, University of New Haven, University of Hawai‘i at Mānoa, and is currently an Assistant Professor of Art History at Hartford Art School.   Anthony Romero is an artist, writer, and organizer committed to documenting and supporting artists and communities of color. Recent projects include the book-length essay The Social Practice That Is Race, written with Dan S. Wang and published by Wooden Leg Press, Buenos Dias, Chicago!, a multi-year performance project commissioned by the Museum of Contemporary Art Chicago and produced in collaboration with Mexico City based performance collective, Teatro Linea de Sombra. He is a co-founder of the Latinx Artists Retreat and is currently a Professor of the Practice at The School of the Museum of Fine Arts at Tufts University.   Judith Leemann is an artist, educator, and writer whose practice focuses on translating operations through and across distinct arenas of practice. A long-standing collaboration with the Boston-based Design Studio for Social Intervention grounds much of this thinking. Leemann is Associate Professor of Fine Arts 3D/Fibers at the Massachusetts College of Art and Design and holds an M.F.A. in Fiber and Material Studies from the School of the Art Institute of Chicago. Her writings have been included in the anthologies Beyond Critique (Bloomsbury, 2017), Collaboration Through Craft (Bloomsbury, 2013), and The Object of Labor: Art, Cloth, and Cultural Production (School of the Art Institute of Chicago and MIT Press 2007). Her current pedagogical research is anchored by the Retooling Critique working group she first convened in 2017 to take up the question of studio critique’s relation to educational equity.   The Retooling Critique Working Group is organized by Judith Leemann and was initially funded by a Massachusetts College of Art and Design President's Curriculum Development Grant.   Eloise Sherrid is a filmmaker and multimedia artist based in NYC. Her short viral documentary, "The Room of Silence," (2016) commissioned by Black Artists and Designers (BAAD), a student community and safe space for marginalized students and their allies at Rhode Island School of Design, exposed racial inequity in the critique practices institutions for arts education, and has screened as a discussion tool at universities around the world.   __________________________   Artist-Run Spaces   How do artists create contexts for encounters with their projects that are aligned with their goals?   Friday 2/1 from 6-8pm Linda Goode-Bryant, Heather Dewey-Hagborg, and Salome Asega   Linda Goode-Bryant is the Founder and President of Active Citizen Project and Project EATS. She developed Active Citizen Project while filming the 2004 Presidential Elections and developed Project EATS during the 2008 Global Food Crisis. She is also the Founder and Director of Just Above Midtown, Inc. (JAM), a New York City non-profit artists space. Linda believes art is as organic as food and life, that it is a conversation anyone can enter. She has a Masters of Business Administration from Columbia University and a Bachelor of Arts Degree in painting from Spelman College and is the recipient of a Guggenheim Fellowship and a Peabody Award.   Heather Dewey-Hagborg is a transdisciplinary artist who is interested in art as research and critical practice. Heather has shown work internationally at events and venues including the World Economic Forum, the Shenzhen Urbanism and Architecture Biennale and PS1 MOMA. Her work is held in public collections of the Centre Pompidou, the Victoria and Albert Museum, and the New York Historical Society, and has been widely discussed in the media, from the New York Times to Art Forum. Heather is also a co-founder of REFRESH, an inclusive and politically engaged collaborative platform at the intersection of Art, Science, and Technology.   Salome Asega is an artist and researcher based in New York. She is the Technology Fellow in the Ford Foundation's Creativity and Free Expression program area, and a director of POWRPLNT, a digital art collaboratory in Bushwick. Salome has participated in residencies and fellowships with Eyebeam, New Museum, The Laundromat Project, and Recess Art. She has exhibited and given presentations at the 11th Shanghai Biennale, Performa, EYEO, and the Brooklyn Museum. Salome received her MFA from Parsons at The New School in Design and Technology where she also teaches.   ____________________________   Building Cooperatives   What if the organization of labor was integral to your project?   Friday 2/22 from 6-8pm Members of Meerkat Filmmakers Collective and Friends of Light   Meerkat Media Collective is an artistic community that shares resources and skills to incubate individual and shared creative work. We are committed to a collaborative, consensus-based process that values diverse experience and expertise. We support the creation of thoughtful and provocative stories that reflect a complex world. Our work has been broadcast on HBO, PBS, and many other networks, and screened at festivals worldwide, including Sundance, Tribeca, Rotterdam and CPH:Dox. Founded as an informal arts collective in 2005 we have grown to include a cooperatively-owned production company and a collective of artists in residence.   Friends of Light develops and produces jackets woven to form for each client.  We partner with small-scale fiber producers to source our materials, and with spinners to develop our yarns.    We construct our own looms to create pattern pieces that have complete woven edges (selvages) and therefore do not need to be cut. The design emerges from the materials and from methods developed to weave two dimensional cloth into three dimensional form. Each jacket is the expression of the collective knowledge of the people involved in its creation. Our business is structured as a worker cooperative and organized around cooperative principles and values. Friends of light founding members are Mae Colburn, Pascale Gatzen, Jessi Highet and Nadia Yaron.   ____________________________   Healing and Care (OFFSITE EVENT)   How do artists ensure that their individual and collective needs are met in order to dream, practice, work on, and return to their projects each day?   Thursday 2/28 from 6-8pm Adaku Utah and Taraneh Fazeli NOTE this event will be held at 151 West 30th Street  # Suite 403, New York, NY 10001   Adaku Utah was raised in Nigeria armed with the legacy of a long line of freedom fighters, farmers, and healers. Adaku harnesses her seasoned powers as a liberation educator,healer, and performance ritual artist as an act of love to her community. Alongside Harriet Tubman, she is the co-founder and co-director of Harriet's Apothecary, an intergenerational healing collective led by Black Cis Women, Queer and Trans healers, artists, health professionals, activists and ancestors. For over 12 years, her work has centered in movements for radical social change, with a focus on gender, reproductive, race, and healing justice. Currently she is the Movement Building Leadership Manager with the National Network for Abortion Funds. She is also a teaching fellow with BOLD (Black Organizing for Leadership and Dignity) and Generative Somatics.   Taraneh Fazeli is a curator from New York. Her multi-phased traveling exhibition “Sick Time, Sleepy Time, Crip Time: Against Capitalism’s Temporal Bullying” deals with the politics of health. It showcases the work of artists and groups who examine the temporalities of illness and disability, the effect of life/work balances on wellbeing, and alternative structures of support via radical kinship and forms of care. The impetus to explore illness as a by-product of societal structures while also using cultural production as a potential place to re-imagine care was her own chronic illnesses. She is a member of Canaries, a support group for people with autoimmune diseases and other chronic conditions.   ____________________________   When Projects Depart   What practices might we develop to honor the departure of a project?  For example, where do materials go when they are no longer of use, value, or interest?   Thursday 3/14 from 6-8pm Millet Israeli and Lindsay Tunkl   Millet Israeli is a psychotherapist who focuses on the varied human experience of loss.  She works with individuals and families struggling with grief, illness, end of life issues, anticipatory loss, and ambiguous loss.  Her approach integrates family systems theory, cognitive restructuring, mindfulness, and trauma informed care. Millet enjoys creating and exploring photography and poetry, and both inform her work with her clients. Millet holds a BA in psychology from Princeton, a JD from Harvard Law School, an MSW from NYU and is certified in bioethics through Montefiore. She sits on an Institutional Review Board for Human Subjects Research at Weill Cornell.   Lindsay Tunkl is a conceptual artist and writer using performance, sculpture, language, and one-on-one encounters to explore subjects such as the apocalypse, heartbreak, space travel, and death. Tunkl received an MFA in Fine art and an MA in Visual + Critical Studies from CCA in San Francisco (2017) and a BFA from CalArts In Los Angeles (2010). Her work has been shown at the Hammer Museum, LA, Southern Exposure, SF, and The Center For Contemporary Art, Santa Fe. She is the creator of Pre Apocalypse Counseling and the author of the book When You Die You Will Not Be Scared To Die.   ____________________________   Group Agreements   What group agreements are necessary in gatherings that occur at residencies, galleries, and cultural institutions today?   Friday 4/19 from 6-8pm Sarah Workneh, Laurel Ptak, and Danielle Jackson   Sarah Workneh has been Co-Director at Skowhegan for nine years leading the educational program and related programs in NY throughout the year, and oversees facilities on campus. Previously, Sarah worked at Ox-Bow School of Art as Associate Director. She has served as a speaker in a wide variety of conferences and schools. She has played an active role in the programmatic planning and vision of peer organizations, most recently with the African American Museum of Philadelphia. She is a member of the Somerset Cultural Planning Commission's Advisory Council (ME); serves on the board of the Colby College Museum of Art.   Laurel Ptak is a curator of contemporary art based in New York City. She is currently Executive Director & Curator of Art in General. She has previously held diverse roles at non-profit art institutions in the US and internationally, including the Guggenheim Museum (New York), MoMA PS. 1 Contemporary Art Center (New York), Museo Tamayo (Mexico City), Tensta Konsthall (Stockholm) and Triangle (New York). Ptak has organized countless exhibitions, public programs, residencies and publications together with artists, collectives, thinkers and curators. Her projects have garnered numerous awards, fellowships, and press for their engagement with timely issues, tireless originality, and commitment to rigorous artistic dialogue.   Danielle Jackson is a critic, researcher, and arts administrator. She is currently a visiting scholar at NYU’s Center for Experimental Humanities.  As the co-founder and former co-director of the Bronx Documentary Center, a photography gallery and educational space, she helped conceive, develop and implement the organization’s mission and programs.  Her writing and reporting has appeared in artnet and Artsy. She has taught at the Museum of Modern Art, International Center of Photography, Parsons, and Stanford in New York, where she currently leads classes on photography and urban studies.   ____________________________ Open Meeting for Arts Educators and Teaching Artists   How might arts educators gather together to develop, share, and practice pedagogies that foster collective skills and values?   Friday 5/17 from 6-8pm Facilitators: Members of the Pedagogy Group   The Pedagogy Group is a group of educators, cultural workers, and political organizers who resist the individualist, market-driven subjectivities produced by mainstream art education. Together, they develop and practice pedagogies that foster collective skills and values. Activities include sharing syllabi, investigating political economies of education, and connecting classrooms to social movements.Their efforts are guided by accountability to specific struggles and by critical reflection on our social subjectivities and political commitments.   ____________________________   Book Launch: Making and Being: A Guide to Embodiment, Collaboration and Circulation in the Visual Arts   What ways of making and being do we want to experience in art classes?   Friday 10/25 from 6-8pm Stacey Salazar in dialog with Caroline Woolard, Susan Jahoda, and Emilio Martinez Poppe of BFAMFAPhD   Stacey Salazar is an art education scholar whose research on teaching and learning in studio art and design in secondary and postsecondary settings has appeared in Studies in Art Education, Visual Arts Research, and Art Education Journal. In 2015 her research was honored with the National Art Education Association Manuel Barkan Award. She holds a Doctorate of Education in Art and Art Education from Columbia University Teachers College and currently serves as Associate Dean of Graduate Studies at the Maryland Institute College of Art, where she was a 2013 recipient of the Trustee Fellowship for Excellence in Teaching.   BFAMFAPhD is a collective that employs visual and performing art, policy reports, and teaching tools to advocate for cultural equity in the United States. The work of the collective is to bring people together to analyze and reimagine relationships of power in the arts. Susan Jahoda is a Professor in Studio Arts at the University of Amherst, MA; Emilio Martinez Poppe is the Program Manager at Fourth Arts Block (FABnyc) in New York, NY; Caroline Woolard is an Assistant Professor of Sculpture at The University of Hartford, CT. Supporting this series at Hauser and Wirth for Making and Being are BFAMFAPhD collective members Agnes Szanyi, a Doctoral Student at The New School for Social Research in New York, NY and Vicky Virgin, a Research Associate at The Center for Economic Opportunity in New York, NY. Making and Being is a multi-platform pedagogical project that offers practices of collaboration, contemplation, and social-ecological analysis for visual artists. Making and Being is a book, a series of videos, a deck of cards, and an interactive website with freely downloadable content created by authors Susan Jahoda and Caroline Woolard with support from Fellow Emilio Martinez Poppe and BFAMFAPhD members Vicky Virgin and Agnes Szanyi.

Heather Dewey-Hagborg is one of the most creative people and orthogonal thinkers I have ever had the pleasure to know. I first met and learned of Heather’s work at the Contemporary Museum of Art in Chicago where she presented as a co-founder and co-curator of REFRESH, an inclusive and politically engaged collaborative platform at the intersection of art, science, and technology. Heather has a BA from Bennington College, a Master of Professional Studies in Interactive Telecommunications from New York University, and a PhD in Electronic Arts from Rensselaer Polytechnic Institute. Heather’s work has been shown internationally at events and venues including the World Economic Forum, the Shenzhen Urbanism and Architecture Biennale, and PS1 MOMA, and her work is held in public collections of the Pompidou Center in Paris, the Victoria and Albert Museum in London, and the New York Historical Society.  Heather and her work have been widely discussed in the media, from the New York Times and the BBC to Art Forum, TED and Wired. She has won a number of grants, residencies, and awards for her work. She is a former Assistant Professor of Art and Technology Studies at the School of the Art Institute of Chicago, and is a Visiting Assistant Professor of Bio-Design at Parsons, the New School, an artist fellow at A.I. Now, and an affiliate of Data & Society. She is also a co-founder and co-curator of REFRESH, an inclusive and politically engaged collaborative platform at the intersection of Art, Science, and Technology. Heather got into DNA Phenotyping that resulted her controversial project Stranger Visions, which allowed her to bring awareness to forensic DNA phenotyping and her concern that it could be the next version of racial profiling, which she addressed in “Sci-Fi Crime Drama with a Strong Black Lead” vis-à-vis the use and misuse of DNA data. Heather also worked with whistle blower, Chelsea Manning which resulted in the work, Probably Chelsea, which is an amazing odyssey and outcome. This was followed by a solo-exhibition Genomic Intimacy and her most recent project T3511. Our conversation in this episode is wide ranging, as is her work. There are too few people in the world today like Heather, which is a shame, and is why I am so happy to have had such a wonderful time talking with her and being able to share it with you. It is one thing to read about Heather and her work herein, it’s another to hear her story and thought process via our podcast conversation, but I strongly encourage you to visit her work in person or online via the links below. You won’t be disappointed.  

PANELISTS: JASON BOBE Jason Bobe is Associate Professor and Director of the Sharing Lab at Icahn Institute at Mount Sinai. For the past 10 years, Jason has been at the forefront of innovative data sharing practices in health research. His work on the Personal Genome Project at Harvard, and now three other countries, pioneered new approaches for creating well-consented public data, cell lines and other open resources. These efforts led to important changes in the governance of identifiable health data and also led to the development of valuable new products, such as NIST's standardized human genome reference materials (e.g. NIST RM 8392), now used for calibrating clinical laboratory equipment worldwide. More recently, he co-founded Open Humans, a platform that facilitates participant-centered data sharing between individuals and the health research community. At the Sharing Lab, he attempts to produce health research studies that people actually want to join and works on improving our understanding of how to make great, impactful studies capable of engaging the general public and achieving social good. He is alsothe leader of the Resilience Project, an effort leveraging open science approaches to identify and learn how some people are able avoid disease despite having serious risk factors. Last year, he was selected to be in the inaugural class of Mozilla Open Science Fellows. He is also co-founder of two nonprofits: Open Humans Foundation and DIYbio.org. SOPHIE ZAAIJER Dr. Sophie Zaaijer is a Postdoctoral Researcher in the Erlich's lab at the New York Genome Center and Columbia University. Sophie is from the Netherlands, where she did her undergraduate in Music (viola) and Food Technology. For her Masters, she studied Medical Biotechnology at Wageningen University and went to Harvard Medical School to finish her thesis work in Monica Colaiacovo's lab. She next went on to do a PhD in Molecular Biology and Genetics in Julie Cooper's lab at Cancer Research UK, London (now the Crick Institute) and at the National Institutes of Health, Bethesda. Sophie focuses on genome technology and the growing impact of genomics on our daily lives. MODERATOR: HEATHER DEWEY-HAGBORG Heather Dewey-Hagborg is a transdisciplinary artist and educator who is interested in art as research and critical practice. Her controversial biopolitical art practice includes Stranger Visions in which she created portrait sculptures from analyses of genetic material (hair, cigarette butts, chewed up gum) collected in public places. Heather has shown work internationally at events and venues including the World Economic Forum, Shenzhen Urbanism and Architecture Biennale, the New Museum, and PS1 MOMA. Her work has been widely discussed in the media, from the New York Times and the BBC to TED and Wired. She is an Assistant Professor of Art and Technology Studies at the School of the Art Institute of Chicago and a 2016 Creative Capital award grantee in the area of Emerging Fields. INTRODUCTION: DANIEL GRUSHKIN Daniel Grushkin is founder of the Biodesign Challenge, an international university competition that asks students to envision future applications of biotech. He is co-founder and Cultural Programs Director of Genspace, a nonprofit community laboratory dedicated to promoting citizen science and access to biotechnology. Fast Company ranked Genspace fourth among the top 10 most innovative education companies in the world. Daniel is a Fellow at Data & Society. From 2013-2014, he was a fellow at the Woodrow Wilson International Center for Scholars where he researched synthetic biology. He was an Emerging Leader in Biosecurity at the UPMC Center of Health Security in 2014. As a journalist, he has reported on the intersection of biotechnology, culture, and business for publications including Bloomberg Businessweek, Fast Company, Scientific American and Popular Science.

Studio Banana TV interviews Italian photographer Luisa Lambri on the occasion of her participation at the 12th Venice Architecture Biennale. Architecture is a favorite subject for the Italian photographer, who approaches the houses subjectively and patiently. ‘I am photographing myself being there,’ she says.

Philippe Rahm, born in 1967 studied at the Federal Polytechnic Schools of Lausanne and Zurich. He obtained his architectural degree in 1993. He works currently in Paris (France) and Lausanne (Switzerland). In 2002, he was chosen to represent Switzerland at the 8th Architecture Biennale in Venice and is one of the 20 manifesto’s architects of the Aaron Betsky’s 2008 Architectural Venice Biennale. He is nominee in 2009 for the Ordos Prize in China and was in 2008 in the top ten ranking of the International Chernikov prize in Moscow. In 2007, he had a personal exhibition at the Canadian Centre for Architecture in Montreal. He has participated in a number of exhibitions worldwide (Archilab 2000, SF-MoMA 2001, CCA Kitakyushu 2004, Frac Centre, Orléans, Centre Pompidou, Beaubourg 2003-2006 and 2007, Manifesta 7, 2008, Louisiana museum, Denmark, 2009). Philippe Rahm was a resident at the Villa Medici in Rome (2000). He was Head-Master of Diploma Unit 13 at the AA School in London in 2005-2006, Visiting professor in Mendrisio Academy of Architecture in Switzerland in 2004 and 2005, at the ETH Lausanne in 2006 and 2007 and he is currently guest professor at the Royal School of Architecture of Copenhaguen. He is working on several private and public projects in France, Poland, England, Italy and Germany. He has lectured widely, including at Cooper Union NY, Harvard School of Design, UCLA and Princeton. Matthias Böttger, born 1974, studied architecture and urban planning in Karlsruhe and London. He heads the Berlin-based think-tank “raumtaktik — spatial intelligence and intervention”. 2007/2008 he was Visiting Professor for Art and Public Space at the Academy of Fine Arts in Nuremburg. In 2008 he was commissioner and curator for the German contribution “Updating Germany— Projects for a Better Future” to the 11th International Architecture Exhibition in Venice. 2009 was a fellow at the Akademie Schloss Solitude in Stuttgart. Currently he teaches „Art + Architecture“ at the ETH Zürich and 2010 he runs the exhibition space aut - Architektur und Tirol - in Innsbruck and curates the series aut.raumproduktion.