This Stanford Psychology Podcast episode features Kate Petrova, a PhD student focusing on computational affective science. The conversation begins with Kate's experience joining the podcast team early on, highlighting her interest in science communication and the unique challenges of communicating psychology research due to audience pre-existing beliefs. The discussion then shifts to Kate's research on how people learn from regret, utilizing computational modeling and behavioral experiments. Finally, the episode explores the challenges and rewards of interdisciplinary research, emphasizing the importance of team science and effective communication across disciplines. Kate suggests that grounding research in relatable real-life phenomena is key to effective science communication.
