Profiles of Leading Women Scientists on AcademiaNet.
Search among the members of the Leopoldina for experts in specific fields or research topics.
Image: www.cogsciwa.com
Year of election: | 2022 |
Section: | Psychology and Cognitive Sciences |
City: | Bristol |
Country: | Great Britain |
Research Priorities: Cognitive science, decision-making processes, misinformation and its correction, technology and democracy, acceptance and rejection of science
Stephan Lewandowsky is a British-Australian cognitive scientist. He aims to understand the human mind. Using computer-assisted modelling, he studies memory and decision-making processes. In his most recent work, he investigates why people believe misinformation and how such “fake news” is spread, particularly as it relates to health topics, vaccines, and climate research. He is working to develop solutions for restoring people's autonomy on the internet.
Using computer simulations, Stephan Lewandowsky describes memory and decision-making processes. He investigates how people update their memories when things they once believed turn out to be untrue. He also studies the way myths and misinformation develop within society and how they persist. He is particularly interested in the variables which determine whether people accept scientific evidence, for example in the context of vaccinations or climate research.
Stephan Lewandowsky pursues these issues with a particular focus on the interconnection between online information technology and human cognition as well as the consequences for democracy. He analyses how platform algorithms can facilitate the spread of misinformation. To this end, for example, he examines the entanglement between social media algorithms and human attentional biases and how they interact to facilitate the spread of misinformation.
Furthermore, he is working to develop cognitively and technologically based solutions for restoring people’s autonomy on the internet. To this end, for example, he develops tools to assist healthcare professionals to confront vaccine-related misinformation as well as interventions which help people differentiate between true and false information.