We use cookies on this site to enhance your user experience
By clicking the Accept button, you agree to us doing so. More info on our cookie policy
We use cookies on this site to enhance your user experience
By clicking the Accept button, you agree to us doing so. More info on our cookie policy
Published: Jul 30, 2026 by Tobias Hossfeld
Join us for a university-wide brown-bag event with Dr. Hilary Bergsieker, featuring a talk on unconscious bias followed by an interactive discussion and Q&A session. All students, researchers, staff, and interested members of the public are warmly welcome.
The DFG Research Unit SOS (Serverless Scientific Computing for Earth Observation and Sustainability) brings together researchers from multiple disciplines to develop novel methods for scalable, reproducible, and sustainable scientific computing. As part of our commitment to gender equality and diversity, we organize this brown-bag event to provide an informal forum for discussion, experience sharing, and awareness of diversity-related topics.
Dr. Hilary Bergsieker is an Associate Professor of Psychology at the University of Waterloo, where she leads the Diversity and Intergroup Relations Lab and serves as the department’s Program Area Lead for Equity, Diversity, Inclusion, and Anti-Racism. She earned her B.A. from Stanford University and her Ph.D. in Psychology and Social Policy from Princeton University. Her research focuses on trust formation and maintenance in diverse groups, social network analysis, and evidence-based approaches to reducing bias. Dr. Bergsieker was named a Rising Star by the Association for Psychological Science and received the Rogers’ Woman of the Year award for excellence in STEM (Science, Technology, Engineering, and Mathematics). As a Fellow of the Engendering Success in STEM research consortium, she collaborates with industry partners to develop interventions that promote the inclusion and success of women and other underrepresented groups in STEM.

The DFG Research Unit SOS (Serverless Scientific Computing for Earth Observation and Sustainability) develops novel methods, models, and architectures for scalable, serverless scientific computing, enabling reproducible and efficient analysis of large-scale Earth observation data from distributed and heterogeneous sources. The interdisciplinary consortium brings together expertise from computer science, geoscience, and ecology to create reusable workflow technologies that support sustainable environmental research and lower technical barriers for data-intensive scientific applications.
Within the DFG SOS Research Unit, we actively promote gender equality and diversity as integral aspects of our research culture and collaboration. To support these goals, we organize this public brown-bag event to foster awareness, exchange, and inclusive participation among researchers, students, and the wider community.
Website: http://dfg-sos.de/