Podcasts about barabasi

En este episodio exploramos las ideas más fascinantes de Linked: The New Science of Networks, el libro de Albert-László Barabási. Descubrimos cómo las redes están presentes en todos los aspectos de nuestra vida y cómo entenderlas puede cambiar nuestra perspectiva sobre el mundo. Desde Internet hasta las redes sociales, pasando por la biología y las telecomunicaciones, todo está conectado. Hablamos primero de qué son las redes, cómo se componen de nodos y enlaces, y cómo se manifiestan en ejemplos cotidianos como Internet, las redes sociales y los sistemas metabólicos. Después, profundizamos en las redes de escala libre, aquellas donde algunos nodos (los hubs) concentran la mayoría de las conexiones. Entendemos por qué surgen estas redes, gracias a factores como el crecimiento continuo y el crecimiento preferencial, y exploramos ejemplos prácticos que van desde la tecnología hasta la biología. También analizamos las propiedades de estas redes, como su resiliencia ante fallos aleatorios y su vulnerabilidad a ataques dirigidos, y cómo estos aspectos determinan su comportamiento. Nos adentramos en cómo la información, las ideas y las enfermedades se propagan a través de las redes y cómo los clusters y comunidades dentro de estas estructuras afectan la dinámica de la difusión. El episodio incluye aplicaciones prácticas en tecnología, como la optimización de Internet y las redes eléctricas, y en biología y medicina, donde el análisis de redes metabólicas y la identificación de nodos clave son esenciales para la investigación y las terapias dirigidas. También reflexionamos sobre cómo las empresas utilizan el análisis de redes para mejorar estrategias de marketing y el desarrollo de productos. Cerramos con una reflexión sobre el impacto del libro y cómo su visión de las redes puede ayudarnos a entender mejor nuestras propias conexiones. Si quieres profundizar más, te recomendamos leer el libro Linked: The New Science of Networks, disponible en numerosas plataformas. Explora el fascinante mundo de las redes y cómo moldean nuestra vida diaria en la página oficial de Albert-László Barabási: www.barabasilab.com. Además, te invitamos a unirte a nuestra comunidad gratuita en WhatsApp: ⁠⁠⁠⁠⁠https://chat.whatsapp.com/BIfSH9QFEiK9hiS83fw2am⁠ ⁠⁠⁠⁠ donde podrás interactuar con otros investigadores y compartir tus opiniones sobre el tema de este episodio. Nos encantaría saber qué piensas y recibir tus comentarios para seguir mejorando. Gracias por escuchar y nos vemos en el próximo episodio.

In this episode, Matt chats to Albert-Laszlo Barabasi, about his book The Formula.Too often, accomplishment does not equal success. We did the work but didn't get the promotion; we played hard but weren't recognized; we had the idea but didn't get the credit. We convince ourselves that talent combined with a strong work ethic is the key to getting ahead, but also realize that combination often fails to yield results, without any deeper understanding as to why. Recognizing this striking disconnect, the author, along with a team of renowned researchers and some of the most advanced data-crunching systems on the planet, dedicated themselves to one goal: uncovering that ever-elusive link between performance and success.Now, based on years of academic research, The Formula finally unveils the groundbreaking discoveries of their pioneering study, not only highlighting the scientific and mathematic principles that underpin success but also revolutionizing our understanding of:

Mai podcastünkben kivesézzük a legfrissebb híreket, majd beszélünk a kriptovaluta kereskedés alapjairól, praktikáiról, végül Cardano bemutatóval zárunk.Milyen témákat fogunk érinteni a mai podcast során?5 Ethereumon ment el a Barabási+Polgár féle NFTFED jelentés. Infláció marad velünk, 2022 év végére várnák az infláció mérséklődésétNexo már hitel fedezetként is elfogad NFT alkotásokatElindult a CryptoMemories magyar NFT projektje, amiben a Cryptofalka is érdekeltCryptomemories.io oldalon éritek el az új magyar NFT projektetAz Y generáció milliomosainak 83% rendelekzik kriptóval. 53% tartja kripto eszközökben a vagyonuk felétAdidas originals NFT kollekciót indítElszálltak a coinmarketcapes árak, hogy segíthetnének az oracle projektek ezen?Kereskedési alapok és típusokKereskedési tippekSpot vs. Margin tradingMilyen egy jó kereskedési platform?Cardano (ADA) projekt ismertető és kilátásokHa tetszik a műsorunk akkor kérjük értékelj minket iTunes-on vagy kövesd adásunkat Spotify-on! Ha pedig szeretnél támogatni minket, akkor oszd meg az itt kapott tudást a barátaiddal is ! :)Kövessetek minket Facebookon, Instagramon és Twitteren is! Ha pedig szeretnétek képben lenni a napi kriptovaluta és Bitcoin elemzésekkel, hírekkel látogassatok el a honlapunkra: https://cryptofalka.huSupport the show (https://www.patreon.com/cryptofalka)

In this incredibly interesting episode, we get to chat with Albert-Laszlo Barabasi, a Physicist and Data Scientist in Network Theory. Why does hard work not always measure up to success? We out-perform expectations to go the extra mile but somehow always finish a mile short of where we want to be. For too long the link between performance and success has remained a mystery. Now, Albert has used raw data and historic case studies to uncover the unspoken rules behind success so that we can leverage them to our advantage. This is definitely an episode you'll want to revisit.To find out more about Albert-Laszlo Barabasi and his work, you can easily find him on Google or visit www.Barabasi.com See acast.com/privacy for privacy and opt-out information.

In the second episode Emese Domahidi (Assistant Professor at TU Ilmenau) and Mario Haim (Assistant Professor at the U of Leipzig) discuss with Wouter van Atteveldt (Associate Professor at Vrije Universiteit Amsterdam) the role of communication science in the field. Main topics are the nature and role of data for the social sciences and challenges in collaborations with computer scientists. We touch on topics like open science, reproducibility and replicability for computational communication science and whether we need a cultural change to achieve these goals. Last but not least we talk about a new book Computational Analysis of Communication that Wouter co-edited with Damian Trilling and Carlos Arcila. References Lazer, D., Pentland, A. (Sandy), Adamic, L., Aral, S., Barabasi, A. L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., Jebara, T., King, G., Macy, M., Roy, D., & Van Alstyne, M. (2009). Life in the network: The coming age of computational social science. Science (New York, N.Y.), 323(5915), 721–723. https://doi.org/10.1126/science.1167742 Roberts, M. E., Stewart, B. M., & Tingley, D. (2019). stm: An R Package for Structural Topic Models. Journal of Statistical Software, 91(2), 1–40. https://doi.org/10.18637/jss.v091.i02 van Atteveldt, W., Trilling, D., & Arcila, C. (in press). Computational Analysis of Communication. Wiley Blackwell. Book homepage: https://cssbook.net/

Andy and Dave discuss the latest in AI news and research, including the new DARPA FENCE program (Fast Event-based Neuromorphic Camera and Electronics), which seeks to create event-based cameras that only focus on pixels that have changed in a scene. NIST proposed an approach for reducing the risk of bias in AI and has invited the public to comment and help improve it. Researchers from the University of Colorado, Boulder use a machine learning model to learn physical properties in electronics building blocks (such as clumps of silicon and germanium atoms), as a way to predict how larger electronics components will work or fail. Researchers in South Korea create an artificial skin that mimics human tactile recognition, and couple it with a deep learning algorithm to classify surface structures (with an accuracy of 99.1%). A survey from IE University shows, among other things, that 75% of people surveys in China support replacing parliamentarians with AI, while in the US, 60% were opposed to it. A scientist with uses machine learning to learn Rembrandt's style and then recreate missing pieces of the painter's “The Night Watch.” Researchers at Harvard, San Diego, Fujitsu, and MIT present methodical research on demonstrating how classification neural networks are susceptible to small 2D transformations and shifts, image crops, and changes in object colors. The GAO releases a report on Facial Recognition Technology, surveying 42 federal agencies, and finds a general lack of accountability in the use of the technology. The WHO releases a report on Ethics and Governance of AI for Health. In rebuttal to DeepMind's “Reward is enough” paper, Roitblat and Byrnes pens separate essays on why “Reward is not enough.” An open-access book by Wang and Barabasi looks at the Science of Science. Julia Schneider and Lena Ziyal join forces to provide a comical essay on AI: We Need to Talk, AI. And the National Security Commission on AI holds an all-day summary on Global Emerging Technology. Follow the link below to visit our website and explore the links mentioned in the episode. https://www.cna.org/CAAI/audio-video

*Original air date: Feb 21, 2019.* Albert-László Barabási is a network scientist whose work has led to many breakthroughs, including the discovery of scale-free networks in 1999. The Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, he has done extensive research on success over the years, and continues to be one of the most cited scientists today. Listen in as he shares insights from his latest book, The Formula: The Universal Laws of Success, including how to gain traction and visibility and the common misconception about creativity in youth. You'll learn the scientific measures of success, as well as what his research has shown about the key factors that help to create it. You can find show notes and more information by clicking here: http://bit.ly/2tlt2ze 

In this incredibly interesting episode, we get to chat with Albert-Laszlo Barabasi, a Physicist and Data Scientist in Network Theory. Why does hard work not always measure up to success? We out-perform expectations to go the extra mile but somehow always finish a mile short of where we want to be. For too long the link between performance and success has remained a mystery. Now, Albert has used raw data and historic case studies to uncover the unspoken rules behind success so that we can leverage them to our advantage. This is definitely an episode you'll want to revisit.To find out more about Albert-Laszlo Barabasi and his work, you can easily find him on Google or visit www.Barabasi.comListener TribeWe have our own private social network for listeners of the Unmistakable Creative podcast. You can meet other listeners, discuss episodes, and engage with the creative community! Just visit https://the-unmistakable-creative-podcast.mn.co/ to sign up. See acast.com/privacy for privacy and opt-out information.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.08.27.270173v1?rss=1 Authors: do Valle, I. F., Roweth, H. G., Malloy, M. W., Moco, S., Barron, D., Battinelli, E., Loscalzo, J., Barabasi, A.-L. Abstract: Polyphenols, natural products present in most plant-based foods, play a protective role against several complex diseases through their antioxidant activity and by diverse molecular mechanisms. Here we developed a network medicine framework to uncover the mechanistic roles of polyphenols on health by considering the molecular interactions between polyphenol protein targets and proteins associated with diseases. We find that the protein targets of polyphenols cluster in specific neighborhoods of the human interactome, whose network proximity to disease proteins is predictive of the known therapeutic effects of polyphenols. This finding allows us to predict that rosmarinic acid (RA) has a direct impact on platelet function, representing a novel mechanism through which it could affect cardiovascular health, and experimentally confirm that RA inhibits platelet aggregation and alpha granule secretion through inhibition of protein tyrosine phosphorylation. Our framework represents a starting point for mechanistic interpretation of the health effects underlying food-related compounds, allowing us to integrate into a predictive framework knowledge on food metabolism, bioavailability, and drug interaction. Copy rights belong to original authors. Visit the link for more info

Parte 1 de infinito da coversa sobre tudo o que está errado na ciência, e como a ciência -- ao contrário de um oráculo de saberdoria e objetividade -- é um reflexo da sociedade e seus preconceitos. Referências: - [Observatório COVID-19 é uma referência para dados atuais e tecnicamente competentes sobre a pandemia no Brasil](https://covid19br.github.io/) - [Revisões dos principais trabalhos recentes relacionados à COVID-19 pelo imunologista Thiago Carvalho na Nature Medicine, aqui cobrindo as retrações dos trabalhos com hidroxicloroquina](https://www.nature.com/articles/d41591-020-00023-z) - [Emicida explica que não vai ao protesto porcausa do coronavirus](https://twitter.com/emicida/status/1269026314167767042?s=20) - [Guardian explica suspeitas sobre a empresa por trás dos dados sobre a hidroxicloroquina](https://www.theguardian.com/world/2020/jun/03/covid-19-surgisphere-who-world-health-organization-hydroxychloroquine) - [arXiv](https://arxiv.org/) - [bioaRxiv](https://www.biorxiv.org/) - [medaRxiv](https://www.medrxiv.org/) - [Artigo sobre arsênico no DNA de bacterias foi contestado no Twitter](https://www.theatlantic.com/technology/archive/2012/07/the-case-study-of-arsenic-life-how-the-internet-can-make-science-better/259581/) - [bioaRxiv para de publicar trabalhos sobre terapias de COVID-19 apenas baseados em estudos computacionais e Barabasi reage](https://twitter.com/barabasi/status/1250500820178780166?s=19) - [A idéia de usar Wolbachia no controle de Dengue](https://portal.fiocruz.br/noticia/aedes-aegypti-metodo-wolbachia-para-o-combate-ao-mosquito-chega-em-sua-etapa-final) - [Modelo/análise de dados do Caetano sobre Wolbachia e Dengue](https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0006339) - [Retraction Watch, o canal que segue retrações](https://retractionwatch.com/) - [Campeões de retração: o número 1 tem 183](https://retractionwatch.com/the-retraction-watch-leaderboard/) - [David Baltimore](https://bioethics.miami.edu/education/timelines-project/the-baltimore-case/index.html) - [Black Lives Matter](https://www.uol.com.br/universa/noticias/redacao/2020/06/03/black-lives-matter-conheca-o-movimento-fundado-por-tres-mulheres.htm) - [Modelo matemático de protesto e seu policiamento](https://www.nature.com/articles/srep01303) - [Música de encerramento de Cannonball Adderley](http://somethingelsereviews.com/2008/09/27/one-track-mind-julian-cannonball-adderley-walk-tall-1969/) _Música: Alcova Rubra - I; (incidental) The Cannonball Adderley Quintet - Walk Tall_

I review some unique and colorful real world stories across the globe and different industries told by two recognized leaders and experts, Albert Laszlo Barabasi from his book "The Formula" and Amy Cuddy from her book "Presence". Barabasi is a network science expert recognized at the youngest age ever for his expertise with a coveted research award in network research, and a visiting professor at Harvard and Notre Dame as well as a best-selling author. Cuddy is a social psychologist and professor at Harvard Business School. The stories I highlight from the two books as well as some tips from the authors will help you understand how to distinguish performance as an individual or a team and to focus on your presence and meaningful relationships you form throughout your networks in order to reach success, which unlike performance is unbounded and has no limit. The presence you develop may just be the difference between a high-performing individual and a widely recognized success story because it provides you with the power necessary which "does not corrupt, but reveal" as Cuddy cites Robert Caro. So reveal the authentic you with verbal communication that is comfortable and clearly flows consistently with the non-verbal gestures and communication you transmit to others! --- Support this podcast: https://anchor.fm/alloutcoach/support

In this incredibly interesting episode, we get to chat with Albert-Laszlo Barabasi, a Physicist and Data Scientist in Network Theory. Why does hard work not always measure up to success? We out-perform expectations to go the extra mile but somehow always finish a mile short of where we want to be. For too long the link between performance and success has remained a mystery. Now, Albert has used raw data and historic case studies to uncover the unspoken rules behind success so that we can leverage them to our advantage. This is definitely an episode you'll want to revisit.To find out more about Albert-Laszlo Barabasi and his work, you can easily find him on Google or visit www.Barabasi.comListener TribeWe have our own private social network for listeners of the Unmistakable Creative podcast. You can meet other listeners, discuss episodes, and we even have the opportunity to run live Q&A's. Just visit unmistakablecreative.com/tribe to sign up. See acast.com/privacy for privacy and opt-out information.

In this incredibly interesting episode, we get to chat with Albert-Laszlo Barabasi, a Physicist and Data Scientist in Network Theory. Why does hard work not always measure up to success? We out-perform expectations to go the extra mile but somehow always finish a mile short of where we want to be. For too long the link between performance and success has remained a mystery. Now, Albert has used raw data and historic case studies to uncover the unspoken rules behind success so that we can leverage them to our advantage. This is definitely an episode you'll want to revisit.To find out more about Albert-Laszlo Barabasi and his work, you can easily find him on Google or visit www.Barabasi.com See acast.com/privacy for privacy and opt-out information. Become a member at https://plus.acast.com/s/the-unmistakable-creative-podcast.

In this incredibly interesting episode, we get to chat with Albert-Laszlo Barabasi, a Physicist and Data Scientist in Network Theory. Why does hard work not always measure up to success? We out-perform expectations to go the extra mile but somehow always finish a mile short of where we want to be. For too long the link between performance and success has remained a mystery. Now, Albert has used raw data and historic case studies to uncover the unspoken rules behind success so that we can leverage them to our advantage. This is definitely an episode you'll want to revisit.To find out more about Albert-Laszlo Barabasi and his work, you can easily find him on Google or visit www.Barabasi.com See acast.com/privacy for privacy and opt-out information.

Albert-László Barabási is the Robert Gray Dodge Professor of Network Science at Northeastern University, where he directs the Center for Complex Network Research, and holds appointments in the Department of Medicine at Harvard Medical School and the Central European University in Budapest.  He is the author of four books with his latest one entitled: The Formula: The Universal Laws of Success.    Some interesting insights from this episode:  The definition of success is the rewards we earn from the communities we belong to. While your performance is about you, your success is about us.  It's what we as a community acknowledge and value.   The first law of success is that performance often drives success but when performance can't be measured, networks drive success.  The second law of success is that performance is bounded but success is unbounded. Marginal differences in performance may lead to order of magnitude differences in success (fame, fortune, recognition, etc.).  The third law of success if that prior success will increase the odds of future success. It is the law behind why the rich get richer and the powerful stay that way.  The fourth law of success is that while team success requires diversity and balance, a single individual will inevitably receive credit for the group's achievements.  For performance oriented teams, diversity and empathy are the most critical success factors while for innovation oriented teams, leadership is most important.  The fifth law of success is that with persistence, success can come at any time. Your ability to succeed neither declines nor improves with age.

Albert-László Barabási is a network scientist who has done extensive research on success. The Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, Albert-László's work has led to many breakthroughs, including the discovery of scale-free networks in 1999, which continues to make him one of the most cited scientists today. In this episode, he shares the scientific measures of success, as well as what his research has shown about the key factors that help to create it. Listen in to hear insights from his latest book, The Formula: The Universal Laws of Success, on how to gain traction and visibility, the common misconception about creativity in youth, and more. You can find show notes and more information by clicking here: http://bit.ly/2tlt2ze 

Visit stuschaefer.com for complete show notes of every podcast episode: Leave us a rating and review! Albert-László Barabási is the Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research. Network research is the science of finding relationships and networks between complex data. In this case – success. Laszlo has recently published the book “The Formula” where he reveals why certain people are successful and why others aren’t – despite working hard and following “success models.”

The Formula = Success In my interview with Albert-Laszlo, I discuss his newest book - The Formula. A book that finally unveils the groundbreaking discoveries of their pioneering study, not only highlighting the scientific and mathematic principles that underpin success. In this episode, we begin by defining success and speak about some of the laws that uncover the link between performance and success. Hard work, accomplishment, being the man with the idea does not equal success. Talent combined with a strong work ethic is not the only key to getting ahead. Albert reveals, with the science of networks, how the community has a much stronger influence what performance equates to success. Interesting and insightful with some practical value to take away. Certainly enough to spark anyone's interest to read his book. Please enjoy and feel free to leave any comments and questions below.

Laszlo Barabasi, is one of the world's leading experts on the science of networks & uncovering what success really is. In his new book The Formula, Barabasi leverages the power of big data and historic case studies to reveal the unspoken rules behind who truly gets ahead and why. He outlines the twelve laws that govern this phenomenon and how we can use them to our own advantage. Unveiling the scientific principles that drive success, this trailblazing book offers a new understanding of the very foundation of how people excel in today's society. http://whatgotyouthere.com/ NEW SPONSOR TEN THOUSAND- www.tenthousand.cc/wgyt 20% off with discount code "WGYT"  Pure Spectrum CBD 10% off with discount code “WGYT” https://www.purespectrumcbd.com/?ref=227 GlobeKick 10% off with discount code “WGYT” https://globekick.com/ 15% off Four Sigmatic with discount code "WGYT" http://foursigmatic.com/wgyt   http://barabasi.com/ https://www.barabasilab.com/ https://twitter.com/barabasi   https://www.youtube.com/channel/UCGtHtPTYW5h9vQQcD_fstkw https://twitter.com/SeanDeLaney23 https://www.instagram.com/whatgotyoutherepodcast/ https://www.facebook.com/whatgotyouthere/ https://www.linkedin.com/in/sean-delaney-00909190/   Intro/Outro music by Justin Great- http://justingreat.com/ Audio Engineer- Brian Lapres 

Having your own personal brand, beyond words on a resume or your company biography, makes sense, is required and expected. It could be a sales management job, marketing management (of course); even CEOs, CIOs, CFOs and presidents have personal brand considerations.  When you consider creating your own personal brand, you’re investing in yourself and your future. ----more---- Your basic social media activities have their place, but we’re talking about something beyond table stakes.  What I’m referring to is the need to have marketplace visibility for your thoughts, philosophies, problem solving skills, and leadership.  A personal brand demonstrates what you stand for and what do others think of you.  The questions are, how can you break away from the crowd and make yourself visible in a sea of talented people?  How can you expand your network – the people who know and follow you?   In Albert-László Barabasi’s book, The Formula = The Universal Laws of Success, he says hard research proves that “Your success isn’t about you and your performance. It’s about us and how we perceive your performance.”  The larger your visibility the larger the network will be and the network will amplify your success.   More about that in a few minutes. Personal branding is a career necessity for many people. Branding can start with your blog, speaking, tweeting, developing followers, eBooks, and guest blogging.  These things make you visible to companies and maybe to employers who approach you, but it isn't enough if your aspirations are high.  What customers and companies seek today is thought leadership from their people, and from consultants and service providers. Thought leadership has grown for individuals. In years past, thought leadership was driven by writing a book, by speaking, and through speakers’ bureaus, research reports and PR effort. Today, thought leadership and an individual’s brand can be augmented through the wise use of social media in its broadest definition. If someone wants to increase their visibility, they can write a book. This is, however, hugely time consuming if it’s beyond the self-published, poorly edited, 50-to-100-page softcover effort made by many would-be authors. I’m talking about a 230-page, professionally copy-edited book from a major publisher, which can take several years of effort.  Being a speaker at conferences and workshops is a precursor to book publishing, and often easier once the book is published.   Speaker bureaus are great if you already have a recognized name or company, and you’ve published enough books. They can get you the gig, but it’s still time consuming.    Once you embark on this effort, you may find yourself devoted to this type of time-consuming branding instead of to your daily working career.   The Shortcut: Radio Podcasting There’s an easy method to creating your personal brand that doesn’t require travel, two years of book writing and editing, or mountains of research and article writing. The answer is to host your own internet-based radio program.  Radio and podcast replays dramatically expand your reputation and network.  As Barabasi says, “Performance drives success, but when performance can’t be measured, networks drive success.” Nothing builds a network faster, cheaper and broader than having your own radio podcast.    A podcast can be a simple recording you create and place on a service from a storage site. A radio program/podcast, a step up, can be broadcast live at the same time on the same day of the week, or on the same day each month, and then follow-on listeners come from the podcast recording posted on a hosting site.   It can be broadcast once a month, bi-weekly or more often. The key is consistency; the network will want to hear from you. As the network builds, so will your reputation and a perception of performance on your part.  You must also promote the program aggressively. These types of consistent programs create followers and listeners. At the Funnel Media Group’s Funnel Radio Channel, we have 19 hosts for various programs heard once a month, bi-weekly or weekly.  We call them the Real Personalities of Funnel Radio. Their programs might have a single speaker and topic, or guests who join the host.  None are longer than 30 minutes.  Listeners for these programs vary with frequency, time and how the programs are promoted.  Program startup numbers can be 50-250 listeners per program, up to 100-500 listeners.  Programs promoted over time can have 750-1,500 listeners.  Popular programs with typical social media exposure can have thousands of listeners. The size of the host company's database and current followers make a substantial contribution to the followers and program listener downloads.  These listeners are unique because they are no longer just at-work listeners; they are at home, walking the dog, climbing mountains, bicycling, exercising, or traveling listeners, at night and on the weekend. Listeners are domestic and international.  The “hosts” of these radio/podcast programs have followers, build databases, and create multi-use content for books, eBooks, case studies, blogs, articles, and speeches.   They build credibility.   Podcast programs are then registered with Apple Podcasts, Stitcher, Blubrry and the B2B Podcast Directory so that they can be found by host name and subject.  Program guests, on talk-radio format programs, often provide the host with testimonials for his or her services or products, introduce the host and company to potential buyers, and build name recognition (brand recognition) for the host and their company.  Starting a radio/podcast is quick and inexpensive.   You need recording software and a place to store the podcast so listeners can come to the site or listen.  The embeddable players the site provides allow you to put the programs on your own website or blog (or a guest’s website or blog).  For $75-$100 per month you can have all of this and be in the business of podcasting and building your personal and your company’s brand.  It’s also time consuming, and if it’s not consistently broadcast it has little impact to build a network. However, there are radio/podcast agencies such as ours (Funnel Media Group LLC), that manage all of this for you except the actual host duties.   We encourage hosts to produce a consistent program that listeners can follow. Agencies offer a range of services including storage, live programming, digital streaming and production, a studio and announcer, editing, music, and a professional touch seldom found in self-produced podcasts.  One of our Funnel Radio Channel programs has been broadcasting for several years.  At first its programs were bi-weekly, and then weekly after a few months.  To date, this program has 152 episodes with 42,610 listeners, with a per-episode average of 280 listeners.  Some programs have had 875 listeners.   The fact is, this company CEO and author, and his program, have had 42,610 people hear him speak over 21,305 hours of on-air time. These numbers are drawn from public data.  He did this on his computer via the net, and by phone with the studio.  Guests, customers and non-customers, know his name, what he stands for, his judgement on marketing and sales, and something about his company services.  He has an extensive personal and company brand recognition. Of course, you can too, should you choose to take the "shortcut" to improving your personal brand by using radio podcasting.  For information about improving your personal brand, extending your network and hosting your own radio/podcast program, either once a month, bi-weekly or more often, contact Jim Obermayer at jobermayer@funnelmediagroupllc dot com, or call him at (415) 521 4278.

In this episode, Haley talks with Albert-László Barabási. Barabasi is the Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research. He is also a renowned author of several books including his newly released book, The Formula: The Universal Laws of Success, which he discusses in-depth during his interview. Barabási shares key takeaways and important lessons from his new book and research on the science of success. He also gives us insights from his journey of learning about and pioneering the young field of network science and shares his hopes for the future of this field.

In this episode preview, we share a clip from our interview with Albert-László Barabási. Barabási is the Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research. He is also a renowned author of several books including: Network Science; Linked: The New Science of Networks; Bursts: The Hidden Pattern Behind Everything We Do; The Formula: The Universal Laws of Success. In this brief clip, Barabási describes the fruitful relationship between complexity science and network science.

Harvard Club of Boston's Author Series hosted a special evening conversation with renowned historian Niall Ferguson and the nation's foremost network science expert Albert-Laszlo Barabasi. In his most recent book, The Square and the Tower, Ferguson applies lessons from Barabasi's pioneering work in network science to the domain of historical analysis, drawing insights from a wide range of fascinating examples across past decades and centuries, with important implications for current affairs. As Barabasi has demonstrated both in his academic work and in his popular writing (Linked), network science research has led to meaningful discoveries in areas ranging from biology and medicine, to institutional analysis and social networks.

Canh Tran is the CEO and Co-Founder of Rippleshot, a startup that detects payment card data breaches. They take a big-data machine learning approach, more common in search, genetics and advertising, and apply it in a novel way for the payment processing industry to help banks, merchants and processors proactively monitor suspicious fraudulent activity and implement smarter fraud risk management strategies when card compromises do occur. It is a massive industry with a lot of room for improvement.  In This Episode You Will Learn: How Rippleshot catches data breaches Why banks need outside help Where the name comes from What they are looking for in breaches The ingeneious ways credit cards are stolen How safe is our future when we pay with wearables How they got their first customers by starting small Why criminals target smaller banks The differences between Silicon Valley, Chicago, and St Louis What Canh would like to see chicago tech improve on The differences between 1871 and Catapult The benefits of growing up abroad The impact a handwritten thank you letter What the future of fraud loss looks like What gets Canh up in the morning Selected Links From The Episode: Howard Tullman, CEO of 1871 Craig Vodnik, Co-Founder of Cleverbridge and investor in Rippleshot Favorite Book: The Deptford Trilogy: Fifth Business; The Manticore; World of Wonders by Robertson Davies Snow Falling on Cedars by David Guterson Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life by by Albert-laszlo Barabasi

Do you ever feel like our organisations are trying to chisel fine sculptures with blunt instruments?  This could be a company pursuing a cost-cutting drive at the expense of innovation and growth, a public policy that aims to solve last year's problem instead of dealing with future challenges, or an education system transfixed on improving test scores at the expense of deeper education.  The world is complex, nuanced and much like one of this show's running themes, interconnected.  The world is digital, and yet, many of our approaches are analog, particularly in the realm of public policy. Fortunately, there is a better way to look at the world that embraced uncertainty and complexity.  It's called systems thinking and my guest today is an expert in this field.  Michele Battle-Fisher is a professor in the Department of Community Health at Wright State University in Ohio, USA.  She is also the author of a book called "Application of Systems Thinking to Health Policy and Public Health Ethics: Public Health and Private Illness".  She is fun and engaging and we have a very nutrient dense conversation that covers: Michele's background and systems thinking origin story that involves a 5th grade speech contest; What systems thinking is and why it is useful for dealing with uncertainty and risk; Public policy, sub-optimal outcomes and predicting public behaviour; Health and the challenges associated with creating and meeting health targets (including an example from her book that looks at HIC amongst teens); Artificial intelligence (AI); Donald Rumsfeld's famous quote on "known unknowns" and "unknown unknowns"; "policy puffins" How we can all become better systems thinkers And much more! Show notes: Michele's archived blog: orgcomplexity.wordpreess.com Michele's scholarship webpage: mbattlefisher.wix.com/orgcomplexity Michele's book- Amazon- https://www.amazon.com/Application-Systems-Thinking-Health-Policy/dp/3319122029/ref=sr_1_1?ie=UTF8&qid=1470658466&sr=8-1&keywords=michele+battle-fisher Springer (publisher) http://www.springer.com/us/book/9783319122021 Twitter @Mbattlefisher LinkedIn www.linkedin.com/in/mbattlefisher Facebook author page @michelebattlefisher HumanCurrent podcast @Letsworkhappy http://www.human-current.com Design4Emergence magazine @d4emergence @gabbleduck (editor- Stacy Hale) design4emergence.com LinkedIn Groups: System thinking network (formerly Systems Thinking World) UK Systems Society SNA for health Systems Thinking & System Dynamics Practitioners Global Network Select Research Institutes and Systems Focused Organizations: Sante Fe Institute santafe.edu Complexity Explorer (Sante Fe Institute) www.complexityexplorer.org Donella Meadows Institute www.donellameadows.org Bertalanffy Center for the Study of Systems Science http://www.bcsss.org/ International Society for the Systems Sciences http://isss.org Rethink Health rethinkhealth.org/ Waters Foundation www.watersfoundation.org System Dynamics Society systemdynamics.org/ Donald Rumsfeld Documentary http://www.imdb.com/title/tt2390962/ A few recommended books to introduce systems thinking: Meadows, D. (2008). Thinking in Systems- a primer. Chelsea Green: White River Junction, Vermont. Mitchell, M. (2011). Complexity: a guided tour. Oxford : New York. Kadushin, C. (2012). Understanding Social Networks. Oxford: New York. Caldarelli, G. & Catanzaro, M. (2012). Networks- a very short introduction. Oxford: New York. Holland, J. (2013). Complexity- a very short introduction. Oxford: New York. Watts, D. (2003). Six degrees- the science of a connected age. Norton: New York. Barabasi, A-L. (2010). Bursts- the hidden patterns behind everything we do, from your email to bloody crusades. Plume: New York. Barabasi, A-L. (2014). Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life. Basic Books: New York. Booth-Sweeney, L. & Meadows, D. (2010). The Systems Thinking Playbook. Chelsea Green: White River Junction, Vt. ______________ Did you like this episode? Subscribe to the All Things Risk podcast, leave a rating or review, and share it on social media: Subscribe and/or leave a rating and review on iTunes: http://apple.co/1PjLmKh Subscribe on Stitcher: http://www.stitcher.com/podcast/all-things-risk/the-all-things-risk-podcast Subscribe on Soundcloud: https://soundcloud.com/ben-cattaneo Follow the podcast on Twitter: https://twitter.com/RiskThings   Drop us a note: allthingsrisk@gmail.com Visit: www.allthingsrisk.com

Cathi on Underarmour tracker for runners Nora on Barabasi's visualization of connection on the web.

Voici un site qui donne des liens sur quelques livres gratuits autour de la thématique de la science des données (Data Science). On y trouve aussi des livres sur l'apprentissage.p-value.info: Free Datascience booksMining of Massive datasets by Rajamaran, Leskovic & UllmanBayesian Reasoning and Machine Learning by David Barber [website]Information Theory, Inference, and Learning Algorithms by David J.C. MackayFoundations of Statistical Natural Language Processing by Manning & SchützeData Jujitsu by D.J. PatilBuilding Data Science Teams by D.J. PatilNetwork Science by A.-L. BarabasiIntroduction to Information Retrieval, by Manning, Raghavan and SchützeA first encounter with machine learning by WellingGaussian processes for Machine Learning by C.E. RasmussenThe Elements of Statistical Learning, by Hastie, Tibshirani, Friedman -- grandaddy of them allIntroduction to Machine Learning by Smola, VishwanathanThink Bayes by Downey