About Us
Humans believe a plethora of things that are not true. In the general population, this tendency reduces vaccination rates and encourages violence. It also plays a role in multiple psychopathologies, including depression, schizophrenia, and anorexia. The Bronstein lab uses data science methods – including causal and predictive machine learning – to elucidate cognitive and affective pathways that create and maintain discrepancies between beliefs and reality. Michael began this work at Yale, where he received my Ph.D. in Psychology. He has continued it as a professor in psychiatry and health informatics at the University of Minnesota.
Hypotheses Tested. Data Analyzed. Insights Communicated. Beliefs Revised.
To learn more about the lab’s work, please see my research and publications pages.
News
4 October 2023
We will be talking about BADE as part of a symposium at Emotions 2023 in Tilburg. Hope to see you there!
17 September 2023
Check out our poster at SRP. We used machine learning to identify causes of suicide ideation among people at-risk for psychosis
Click for Poster25 January 2022
We are excited to be presenting research using GFCI to identify potential causes of eating disorder symptoms at ACBM in February
Click for Poster4 March 2022
Off to PRS to present on using machine learning to identify prospective predictors of SARS-CoV-2 vaccination behavior...and to go skiing
25 January 2022
We are excited to be presenting research using GFCI to identify potential causes of eating disorder symptoms at ACBM in February
Click for Poster27 August 2021
Read a pre-print of our research on SARS-CoV-2 vaccine intentions, conspiracy theories, and reasoning
Click for Paper24 June 2021
Learn more about the causes of SARS-CoV-2 vaccine hesitancy and refusal! Stop by our poster at Society for Research on Psychopathology this September.
1 May 2020
New paper on suicide ideation and inflexible interpretations published in Clinical Psych Science
3 March 2021
We are presenting today on suicide ideation and inflexible interpretations at the Psychiatric Research Society annual meeting.