Hosted by David J. Cox and Jacob Sosine · 🇺🇸 US · EN · 44 episodes
Established thought leaders with verified media credentials.
A podcast for those interested in what's going on at the intersection of behavior science and data science.
David J. Cox and Jacob Sosine hosts The Behavioral Data Science Podcast, a science show with 44 episodes published.
In this episode, Jake and David discuss the unique ethical concerns raised by LLMs, generative AI, agentic systems, and multi-modal AI. For BACB Ethics CEUs, go to this site: https://www.bdspodcast.com/
In this episode, Jake and David discuss the ever-present possibility of bias in AI systems, and the resulting work and implications that has to mitigate AI bias when using LLM-driven products.
In this episode, Jake and David reflect on the many fantastic conversations of Season 4, and their thoughts on where things might go next.
In this episode, we have the distinct honor of being joined by Dr. Callie Plattner, Jenn Godwin, and Matt Filer to discuss their perspectives on quality measurement and client outcomes in Applied Behavior Analysis.
In this episode, we have the distinct honor of being joined by Kristine Rodriguez and Mahin Para-Cremer to discuss their perspectives on quality measurement and client outcomes in Applied Behavior Analysis.
In this episode, we have the distinct honor of being joined by Tim Yeager, Dr. Kerri Milyko, and Dr. Zach Morford to discuss their perspectives on quality measurement and client outcomes in Applied Behavior Analysis.
In this episode, we have the distinct honor of being joined by Dr. Linda LeBlanc and Dr. Brent Kaplan to discuss their perspectives on quality measurement and client outcomes in Applied Behavior Analysis.
In this episode, we have the distinct honor of being joined by Dr. Duff Lotfizadeh to discuss his perspective on quality measurement and client outcomes in Applied Behavior Analysis.
In this episode, we have the distinct honor of being joined by Dr. Adam Hahs to discuss his perspective on quality measurement and client outcomes in Applied Behavior Analysis.
In this episode, we have the distinct honor of being joinedby Dr. Amber Valentino to discuss her perspective on quality measurement and client outcomes in Applied Behavior Analysis.
In this episode, we have the distinct honor of being joined by Dr. Cody Morris and Dr. Bryant Silbaugh to discuss their perspective on quality measurement and client outcomes in Applied Behavior Analysis.
This is the third of the three-part introduction to thisseason of the Behavioral Data Science Podcast. During this season, Jake and I discuss the intersection of behavior science and data science as they relate to client
This is the second of the three-part introduction to this season of the Behavioral Data Science Podcast. During this season, Jake and I discuss the intersection of behavior science and data science as they relate to clie
This is the first of the three-part introduction to this season of the Behavioral Data Science Podcast. During this season, Jake and I discuss the intersection of behavior science and data science as they relate to clien
In this episode, Jake and David discuss articles from the recent issue of the Journal of Applied Behavior Analysis . They also discuss how the underlying technologies and concepts might be extended via data science tech
In this episode, Jake and David discuss articles from the recent issue of Artificial Intelligence in Medicine . They also discuss how the underlying technologies and concepts might be translated to behavioral health serv
OpenAI and Anthropic have recently released products where users can connect health-related data and receive healthcare advice and guidance. Jake and David discuss these products, the potential benefits to ease of access
Realistically, you can't build any model of behavior-environment relations if you can't (a) find the data you need and (b) integrate those data into a usable database. In this episode of The Behavioral Data Science Podca
Crucial to any behavioral data science project is identifying either (a) what behavior you want to analyze and how you'll get the data; or (b) what data you can get and what behaviors those data allow you to analyze well
In each episode of Season 3, we take a claim from a news story, paper, or hot topic, and walk through how a behavioral data scientist would think about it: clarify the question, identify the operant and respondent princi
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The Behavioral Data Science Podcast is hosted by David J. Cox and Jacob Sosine. The show is categorised under science and has published 44 episodes.
The Behavioral Data Science Podcast has published 44 episodes.
The Behavioral Data Science Podcast regularly covers science. It sits in the science category.
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Episodes of The Behavioral Data Science Podcast average 70 minutes, giving guests a long-form format with plenty of time to expand on their expertise.
Our data rates The Behavioral Data Science Podcast's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
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