#120 Innovations in Infectious Disease Modeling, with Liza Semenova & Chris Wymant
Proudly sponsored by PyMC Labs. Get in touch at https://www.pymc-labs.com/!
• My Intuitive Bayes Online Courses: https://www.intuitivebayes.com/
• 1:1 Mentorship with me: https://topmate.io/alex_andorra
Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work (https://bababrinkman.com/) !
Visit our Patreon page (https://www.patreon.com/learnbayesstats) to unlock exclusive Bayesian swag ;)
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Love the insights from this episode? Make sure you never miss a beat with Chatpods! Whether you're commuting, working out, or just on the go, Chatpods lets you capture and summarize key takeaways effortlessly.
Save time, stay organized, and keep your thoughts at your fingertips.
Download Chatpods directly from App Store (https://apps.apple.com/us/app/chatpods/id6599838327) or Google Play (https://play.google.com/store/apps/details?id=com.myzy.nex) and use it to listen to this podcast today!
https://www.chatpods.com/?fr=LearningBayesianStatistics
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Takeaways:
- Epidemiology focuses on health at various scales, while biology often looks at micro-level details.
- Bayesian statistics helps connect models to data and quantify uncertainty.
- Recent advancements in data collection have improved the quality of epidemiological research.
- Collaboration between domain experts and statisticians is essential for effective research.
- The COVID-19 pandemic has led to increased data availability and international cooperation.
- Modeling infectious diseases requires understanding complex dynamics and statistical methods.
- Challenges in coding and communication between disciplines can hinder progress.
- Innovations in machine learning and neural networks are shaping the future of epidemiology.
- The importance of understanding the context and limitations of data in research.
Chapters:
00:00 Introduction to Bayesian Statistics and Epidemiology
03:35 Guest Backgrounds and Their Journey
10:04 Understanding Computational Biology vs. Epidemiology
16:11 The Role of Bayesian Statistics in Epidemiology
21:40 Recent Projects and Applications in Epidemiology
31:30 Sampling Challenges in Health Surveys
34:22 Model Development and Computational Challenges
36:43 Navigating Different Jargons in Survey Design
39:35 Post-COVID Trends in Epidemiology
42:49 Funding and Data Availability in Epidemiology
45:05 Collaboration Across Disciplines
48:21 Using Neural Networks in Bayesian Modeling
51:42 Model Diagnostics in Epidemiology
55:38 Parameter Estimation in Compartmental Models
Thank you to my Patrons for making this episode possible!
Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar, Matt Rosinski, Bart Trudeau, Luis Fonseca, Dante Gates, Matt Niccolls, Maksim Kuznecov, Michael Thomas, Luke Gorrie, Cory Kiser, Julio, Edvin Saveljev, Frederick Ayala, Jeffrey Powell, Gal Kampel, Adan Romero, Will Geary, Blake Walters, Jonathan Morgan, Francesco Madrisotti, Ivy Huang, Gary Clarke, Robert Flannery, Rasmus Hindström and Stefan.
Links from the show: https://learnbayesstats.com/episode/120-innovations-infectious-disease-modeling-liza-semenova-chris-wymant
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#120 Innovations in Infectious Disease Modeling, with Liza Semenova & Chris Wymant
Proudly sponsored by PyMC Labs. Get in touch at https://www.pymc-labs.com/! • My Intuitive Bayes Online Courses: https://www.intuitivebayes.com/ • 1:1 Mentorship with me: https://topmate.io/alex_andorra Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work (https://bababrinkman.com/) ! Visit our Patreon page (https://www.patreon.com/learnbayesstats) to unlock exclusive Bayesian swag ;) ------------------------- Love the insights from this episode? Make sure you never miss a beat with Chatpods! Whether you're commuting, working out, or just on the go, Chatpods lets you capture and summarize key takeaways effortlessly. Save time, stay organized, and keep your thoughts at your fingertips. Download Chatpods directly from App Store (https://apps.apple.com/us/app/chatpods/id6599838327) or Google Play (https://play.google.com/store/apps/details?id=com.myzy.nex) and use it to listen to this podcast today! https://www.chatpods.com/?fr=LearningBayesianStatistics ------------------------- Takeaways: - Epidemiology focuses on health at various scales, while biology often looks at micro-level details. - Bayesian statistics helps connect models to data and quantify uncertainty. - Recent advancements in data collection have improved the quality of epidemiological research. - Collaboration between domain experts and statisticians is essential for effective research. - The COVID-19 pandemic has led to increased data availability and international cooperation. - Modeling infectious diseases requires understanding complex dynamics and statistical methods. - Challenges in coding and communication between disciplines can hinder progress. - Innovations in machine learning and neural networks are shaping the future of epidemiology. - The importance of understanding the context and limitations of data in research. Chapters: 00:00 Introduction to Bayesian Statistics and Epidemiology 03:35 Guest Backgrounds and Their Journey 10:04 Understanding Computational Biology vs. Epidemiology 16:11 The Role of Bayesian Statistics in Epidemiology 21:40 Recent Projects and Applications in Epidemiology 31:30 Sampling Challenges in Health Surveys 34:22 Model Development and Computational Challenges 36:43 Navigating Different Jargons in Survey Design 39:35 Post-COVID Trends in Epidemiology 42:49 Funding and Data Availability in Epidemiology 45:05 Collaboration Across Disciplines 48:21 Using Neural Networks in Bayesian Modeling 51:42 Model Diagnostics in Epidemiology 55:38 Parameter Estimation in Compartmental Models Thank you to my Patrons for making this episode possible! Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar, Matt Rosinski, Bart Trudeau, Luis Fonseca, Dante Gates, Matt Niccolls, Maksim Kuznecov, Michael Thomas, Luke Gorrie, Cory Kiser, Julio, Edvin Saveljev, Frederick Ayala, Jeffrey Powell, Gal Kampel, Adan Romero, Will Geary, Blake Walters, Jonathan Morgan, Francesco Madrisotti, Ivy Huang, Gary Clarke, Robert Flannery, Rasmus Hindström and Stefan. Links from the show: https://learnbayesstats.com/episode/120-innovations-infectious-disease-modeling-liza-semenova-chris-wymant
Living Seasonally, Not Commercially
What is the "holiday season", really? Savvy marketers have inserted gingerbread lattes, blow up lawn decor, and lots of gifts as synonymous with December. But we aren't in some made-up season of buying; instead, we are approaching the Winter Solstice. And when nature is our guide, living seasonally is less about shopping hauls and more about existing in pace with the changing seasons. In a world where we can buy just about anything, it takes intention to live in alignment with nature. On today's show Bailey Van Tassel (https://www.thekitchengardensociety.com/) offers suggestions for weaving what's outside your front door — not what's in Target! — into your seasonal celebrations. Here's a preview: [11:00] Transitioning from commercialized seasonal living to interacting with nature at your feet [15:00] The ways in which nature's pace complements modern life (if, of course, we allow it) [19:30] Minimalists, unite! Don't buy more ultra-trendy seasonal stuff; do this instead [25:00] Slow down your life by making your family traditions crave-able [33:00] Connections between seasons of a year and seasons of a life Resources mentioned: • Kitchen Garden Living: Seasonal Growing and Eating from a Beautiful, Bountiful Food Garden (https://amzn.to/3ZyNXi8) • Bailey on Instagram @baileyvantassel (https://www.instagram.com/baileyvantassel/) • Chatpods: www.chatpods.com/?fr=SustainableMinimalists (https://www.chatpods.com/?fr=SustainableMinimalists) • This show is listener-supported. Thank you for supporting! (https://sustainableminimalists.substack.com/) • Join our (free!) Facebook community here (https://www.facebook.com/groups/134165317219800/) . • Find your tribe. Sustainable Minimalists are on Facebook, (https://www.facebook.com/SustainableMinimalists/) Instagram (https://www.instagram.com/sustainableminimalists/) + Youtube (https://www.youtube.com/channel/UCmEjOfANT67KkwTTp3pgSOg) @sustainableminimalists • Say hello! MamaMinimalistBoston@gmail.com (mailto:MamaMinimalistBoston@gmail.com) .
The Pros and Cons of Living in Silicon Valley during the AI Boom
As the AI era emerges, the debate about the best place to live to take advantage of it for your career has started up again. Is Silicon Valley still the best place to live when a new trend starts? SHOW: 877 SHOW TRANSCRIPT: The Cloudcast #877 Transcript (https://docs.google.com/document/d/11ta2TLsjVfKA4VPB-rPyZvdJc9x5QAyRp73BSTXaPnA/edit?usp=sharing) SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" (https://cloudcastbasics.net/) SHOW SPONSOR: Love the insights from this episode? Make sure you never miss a beat with Chatpods! Whether you're commuting, working out, or just on the go, Chatpods (https://www.chatpods.com/?fr=TheCloudcast) lets you capture and summarize key takeaways effortlessly. Save time, stay organized, and keep your thoughts at your fingertips. Download Chatpods (https://www.chatpods.com/?fr=TheCloudcast) directly from App Store (https://apps.apple.com/us/app/chatpods/id6599838327) or Google Play (https://play.google.com/store/apps/details?id=com.myzy.nex) and use it to listen to this podcast today! SHOW NOTES: • The case against living in the Bay area (https://newsletter.goodtechthings.com/p/the-case-against-living-in-the-bay) (Forrest Brazeal) • Cost of living calculator (https://www.bankrate.com/real-estate/cost-of-living-calculator/) • Best quality of life cities (US) (https://realestate.usnews.com/places/rankings/best-places-to-live-for-quality-of-life) • Best quality of life cities (Europe) (https://www.numbeo.com/quality-of-life/region_rankings_current.jsp?region=150) • Best quality of life cities (Asia) (https://www.numbeo.com/quality-of-life/region_rankings_current.jsp?region=142) • Top 15 Wealth Creating Stocks of last 10 years (https://www.morningstar.com/stocks/top-15-wealth-creating-stocks-past-decade) (Vanguard) IS SILICON VALLEY STILL THE CENTER OF TECH INNOVATION? • Amazon, Microsoft, Space X , BYD, TSMC, are not in Silicon Valley THE PROS AND CONS OF LIVING IN SILICON VALLEY DURING A BOOM? • Density of ideas • Density of people that obsess over technology • Work from Office vs. Work from Anywhere • Location of customers - and physical vs. digital • Ability to make money vs. life changing money • Non-work considerations (family, non-work activities, etc.) FEEDBACK? • Email: show at the cloudcast dot net • Twitter/X: @cloudcastpod (https://twitter.com/cloudcastpod) • BlueSky: @cloudcastpod.bsky.social (https://bsky.app/profile/cloudcastpod.bsky.social) • Instagram: @cloudcastpod (https://www.instagram.com/cloudcastpod/) • TikTok: @cloudcastpod (https://www.tiktok.com/@cloudcastpod)
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