The Behavioral Data Science Podcast

In this episode, we discuss the end-to-end pipeline when creating a model.

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.

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 quickly into practice.

Episode 005: Do LLMs display Verbal Behavior?

Episode 004: Vector Embeddings: What, how, and why for BSci

Episode 003: Getting into data science with a behavioral science background.

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 until AI systems are better at the functional analysis of behavior than humans.

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.