PODCAST · science
The Behavioral Data Science Podcast
by David J. Cox and Jacob Sosine
A podcast for those interested in what's going on at the intersection of behavior science and data science.
Episodes
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Episode 049: Ethics of Computational Modeling
LLMs are one type of generative artificial intelligence (AI) which is one type of AI/machine learning which is one type of approach to computational modeling. In this episode Jake and David talk about the ethics of computational modeling, generally, and how behavior scientists might incorporate...
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Episode 048: Review of the Stanford AI Index Report
In this episode, Jake and David discuss the Stanford AI Index Report (https://hai.stanford.edu/ai-index) with an eye toward the intersection of ethics, AI, and behavior science.
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Episode 047: Unpacking Bias in Artificial Intelligence
The term "bias" means different things to people coming from different scientific backgrounds. In this episode, Jake and David discuss those different definitions of bias, how those definitions impact the conversation around bias in AI, and recommendations for mitigating "bias" in AI systems,...
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Episode 046: Extending the Conversation Around the Ethical Use of AI in ABA
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/
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Episode 045: Navigating Ethical Adoption and Algorithmic Bias in AI
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.
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Episode 044: Reflections on Season 4
In this episode, Jake and David reflect on the many fantastic conversations of Season 4, and their thoughts on where things might go next.
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Episode 043: Interview with Dr. Callie Plattner, Jenn Godwin, and Matt Filer
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.
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Episode 042: Interview with Kristine Rodriguez and Mahin Para-Cremer
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.
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Episode 041: Interview with Tim Yeager, Dr. Kerri Milyko, & Dr. Zach Morford
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.
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Episode 040: Interview with Dr. Linda LeBlanc and Dr. Brent Kaplan
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.
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Episode 039: Interview with Dr. Duff Lotfizadeh
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.
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Episode 038: Interview with Dr. Adam Hahs
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.
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Episode 037: Interview with Dr. Amber Valentino
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.
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Episode 036: Interview with Dr. Cody Morris & Dr. Bryant Silbaugh
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.
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Episode 035: Understanding Variability in Client Profiles
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 outcomes in Applied Behavior Analysis service delivery. In this episode, we...
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Episode 034: Outcomes in ABA and What Data Science Can Contribute
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 client outcomes in Applied Behavior Analysis service delivery. In this episode…
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Episode 033: The History of Quality Measurement
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 client outcomes in Applied Behavior Analysis service delivery. In this episode, we...
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Episode 031: Reviewing and Extending the Recent Issue of JABA
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 techniques.
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Episode 030: Reviewing and Extending the Recent Issue of AI in Medicine
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 services.
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Episode 029: ChatGPT Health & Claude Healthcare
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 to personalized healthcare-related information, and the potential harms from...
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Episode 028: Building the Dataset: From Chaos to Order
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 Podcast, we discuss the many considerations and decisions one needs to make. And…
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Episode 027: Operationalizing Behavior in the Wild
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 this episode, we chat about these decisions in the context of the...
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Episode 026: From Hot Take to Testable Question
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 principles potentially at play, design the data pipelines, choose the models, and...
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Episode 025: Reflections on LLMs and AI with Dr. Garrison
As we close out Season 2 and our emphasis on LLMs, we had the distinct privilege of chatting with Dr. Elizabeth Garrison. She is one of the few people in the world with domain expertise spanning behavior analysis (BCBA) and artificial intelligence (PhD). In this episode, we reflect on the state…
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Episode 024: Are we in an AI bubble?
"Bubbles" are an economic phenomenon characterized by a rapid increase in asset prices that far exceed the asset's underlying fundamental value, driven by speculative buying and herd behavior rather than intrinsic worth. In this episode, Jake and David ask, "Are we in an AI bubble?". And, if so,...
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Episode 023: Your Brain on LLMs
In this episode, Jake and David discuss the burgeoning area of research looking at how interacting with LLMs impacts our skills and abilities in good and bad ways. As with most things in life, the effects are not black-and-white. And, we discuss strategies and tactics we can all engage in to try…
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Episode 022: The Ethics of LLMs that Few Talk About
Conversations around AI ethics often focus on a suite of incredibly important topics such as data security and privacy, model bias, model transparency, and explainability. However, each time we use large AI models (e.g., diffusion models, LLMs), we reinforce a host of additional potentially...
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Episode 021: Explainable AI and LLMs
"Explainable AI", aka XAI, refers to a suite of techniques to help AI system developers and AI system users understand why inputs to the system resulted in the observed outputs. Industries such as healthcare, education, and finance require that any system using mathematical models or algorithms…
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Episode 020: Evidence-Based Practices for Prompt Engineering
Prompt engineering involves a lot more than simply getting smarter with how you structure the prompts you enter in an LLM browser interface. Furthermore, a growing body of peer-reviewed research provides us with best practices to improve the accuracy and reliability of LLM outputs for the…
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Episode 019: LLM Evaluation Frameworks
Lots of people like to talk about the importance of prompts, context, and what is sent to an LLM. Few discuss the even more important aspect of an LLM-driven system in evaluating its output. In this episode, we discuss traditional and modern metrics used to evaluate LLM outputs. And, we review…
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Episode 018: Data Privacy and Security Considerations When Working with LLMs
Jake and David chat about best practices and considerations for those building and using AI systems that leverage LLMs.
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Episode 017 - Demystifying how GenAI Works
Jake and David chat about types of GenAI, and specifically how LLMs work—from input text or audio through the output you read.
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Episode 016: What would you trust an LLM with?
Jake and I chat about current hot topics in the LLM space and what we would (and would not) trust an LLM with.
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Episode 015: Welcome to the Era of Experience
Jake and I chat about a forthcoming book chapter titled, "Welcome to the Era of Experience" by David Silver and Richard Sutton (link below). This—naturally—led other topics to surface, such as companies staffed entirely by AI agents (which turned out as well as that sounds); superintelligence (we...
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Episode 014: Conversation with Dr. Beth Garrison
In this episode, we chat with Dr. Beth Garrison about her journey in behavior analysis, what led her to pursue a PhD in artificial intelligence, and her thoughts on where this is all headed. Links to the papers Dr. Garrison references: Exploring Engagement Opportunities for Autistic Children…
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Episode 013: The Quantified Self
In this episode, David talks about the dataset he's been collecting on his own, daily behavior over the last 15 years; and, how behavior science + data science let him do neat things with it.
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Episode 012: Backyard Behavior Analysis- Squirrels and Cigarettes
Jake talks about his backyard science project where he used computer vision to detect squirrels in his backyard.
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Episode 011: What is Unsupervised Machine Learning? And, Why Should You Care?
In this episode, we dive into some basics around unsupervised machine learning and how behavior analysts might use it in their work.
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Episode 010: Guest Chat with Zach Morford
Episode 010: Guest Chat with Zach Morford
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Episode 009: What does it take to go end-to-end with an AI application? Part III - The Deployment Lifecycle
Episode 009: What does it take to go end-to-end with an AI application? Part III - The Deployment Lifecycle
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Episode 008: What does it take to go end-to-end with an AI application? Part II - The Model Lifecycle
In this episode, we discuss the end-to-end pipeline when creating a model.
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Episode 007: What does it take to go end-to-end with an AI application? Part I - The Data Lifecycle
In this episode, we talk about the many components of data engineering and parallel work data scientists get into as data moves from its data collection source to being ready for modeling.
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Episode 006: Bridging the Research-to-Practice Gap in BDS
In this episode, we discuss common barriers and solutions for bridging the research-to-practice gap in behavioral data science. We also talk about many of the ways that data science or AI research differs from behavior science research in terms of practitioners' ability to integrate findings...
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Episode 005: Do LLMs display Verbal Behavior?
Episode 005: Do LLMs display Verbal Behavior?
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Episode 004: Vector Embeddings: What, how, and why for BSci
Episode 004: Vector Embeddings: What, how, and why for BSci
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Episode 003: Getting into data science with a behavioral science background
Episode 003: Getting into data science with a behavioral science background.
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Episode 002: What the hell is behavioral data science, anyway?
In this episode, Jake and David discuss how one might even define what it means for something to exist at the intersection of behavior science and data science. We also talk about the different roles on data science teams and applied behavior analysis teams. And we talk about how long it might be...
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Episode 001: Introduction to the Podcast
Welcome to the Behavioral Data Science podcast. A podcast for those interested in what's going on at the intersection of behavior science and data science.
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ABOUT THIS SHOW
A podcast for those interested in what's going on at the intersection of behavior science and data science.
HOSTED BY
David J. Cox and Jacob Sosine
CATEGORIES
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Frequently Asked Questions
How many episodes does The Behavioral Data Science Podcast have?
The Behavioral Data Science Podcast currently has 48 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is The Behavioral Data Science Podcast about?
A podcast for those interested in what's going on at the intersection of behavior science and data science.
How often does The Behavioral Data Science Podcast release new episodes?
The Behavioral Data Science Podcast has 48 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to The Behavioral Data Science Podcast?
You can listen to The Behavioral Data Science Podcast on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts The Behavioral Data Science Podcast?
The Behavioral Data Science Podcast is created and hosted by David J. Cox and Jacob Sosine.
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