For more Diversity in Science
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Under the motto "Diversity4Research@LMU", various events highlighting the relevance of gender and diversity aspects in research will bring the LMU community together during the summer semester of 2022.
Numerous examples from research practice illustrate the relevance of gender and diversity aspects in research. As an example, new insights regarding the diagnosis and therapy of myocardial infarction have been gained by taking the gender dimension into consideration. AI research also shows that a diversity-sensitive approach is necessary to consciously perceive and detect bias and gaps in data sets and systems.
LMU sees great innovation potential in gender and diversity sensitive research designs and approaches.This allows research to respond in a differentiated way to the needs of a diverse society and supports change processes.
The series of events under the motto "Diversity4Research: Sensitive.Innovative.Excellent" intends to highlight the importance of a multidisciplinary and diversity-sensitive approach to research questions, designs and practices for excellent science and innovation and is aimed at students and employees of the university as well as the interested public.
For the full program, please see the event calendar.
To the overview
A multidisciplinary and diversity-sensitive approach to research questions, designs, and practices promotes excellence and innovation in science. By incorporating diversity aspects, novel solutions to complex societal challenges can be developed.Prof. Dr. Francesca Biagini , Vice President for International Affairs and Diversity
The focus of the Diversity Initiative 2022 is on events that demonstrate the importance of a diversity-sensitive approach to research designs and practices, consider gender and diversity as research subject, and introduce diverse teams collaborating in research. A detailed program overview and registration links to the events can be accessed in the following sections.
Statistician Prof. Dr. Frauke Kreuter, Chair of Statistics and Data Science in the Social and Human Sciences, talks about artificial intelligence in economic and social science research.
3:19 | 24 Jun 2022 | ©LMU
Incorporating gender analysis into research contributes to better quality of science. Explicitly considering the different needs of women and men, girls and boys, and gender-diverse people will not only improve the quality of new knowledge, but also increase the social relevance of new products and services.
15:36 | 7 Apr 2022 | ©ACT Project
LMU Diversity Management
Diversity Management Coordinator, Germany Scholarship Program Coordinator