Scientific Findings
Get insights from Lirio behavioral science and AI experts on how to move people toward healthy behaviors and actions that drive positive outcomes.
BeSci Briefs
Our BeSci briefs cover the behavioral science solutions Lirio uses to optimize the content, channel, and timing of behavioral interventions and the behavioral biases that inform them.
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Educational Sessions
Our team has led informative discussions and presentations about the power of combining behavioral science and AI to create behavior change.
Turning Pineapples Into Piña Coladas: Using Behavioral Science to Make a Better World
The Behavior Change Podcast by Lirio explores the various ways humans can leverage behavioral science to personalize our messaging, engage our audience, and drive better behavior at scale. Host: Greg Stielstra (GS), Senior Director of Behavioral Science at Lirio...
Calling System 1: A Whole-Minded Approach to Behavior Change in Healthcare
The Behavior Change Podcast by Lirio explores the various ways humans can leverage behavioral science to personalize our messaging, engage our audience, and drive better behavior at scale. Host: Greg Stielstra (GS), Senior Director of Behavioral Science at Lirio...
Rationally Healthy: Overcoming Ourselves To Feel Our Best
The Behavior Change Podcast by Lirio explores the various ways humans can leverage behavioral science to personalize our messaging, engage our audience, and drive better behavior at scale Guest: Julie O’Brien (JO), Principal and Behavioral Scientist at the Center for...
Academic Research
Our team has developed and presented a range of academic research pieces across the fields of behavioral science and AI.
Artificial Intelligence
Lirio Research: A Novel Policy Comparison Metric for Reinforcement Learning
Lirio’s Behavioral Reinforcement Learning Lab (BReLL) recently published a paper describing a new approach, the Limited Data Estimator, for comparing reinforcement learning policies using limited historical data.
Lirio Research: Introducing A New Form of Machine Learning Optimization
Lirio’s AI Research team recently developed a novel adaptive stochastic gradient-free (ASGF) approach for solving some of the most difficult optimization challenges in machine learning. This innovative optimization algorithm, which is simple to implement and does not require careful fine-tuning, offers significant improvements when compared to existing state-of-the-art approaches.