How to become a Data Scientist?
Women scientists talk about career paths in data science
Biographies & careers are rarely linear. This is especially true for careers in new and innovative research fields. At our Gender Summit pre-event, experienced female researchers will discuss their career paths in data science with young female scientists. In this way, we want to provide impetus for a lively conversation about career paths and equal opportunities in the field of data science.
Data Science is the future
We look forward to talking with
- Narges Ahmidi: Research Group Leader at the Institute of Computational Biology ICB), HMGU Helmholtz Zentrum München, German Research Center for Environmental Health
- Ninja Marnau:Trustworthy Information Processing; Empirical and Behavioral Security CISPA - Helmholtz Center for Information Security
- Hela Mehrtens: Research Data Management at the Information, Data and Computing Centre GEOMAR Helmholtz Centre for Ocean Research Kiel
- Nicole Ludwig: Research Group Leader at the Cluster of Excellence "Machine Learning" University of Tübingen
- Xiaoxiang Zhu: Head of the EO Data Science Department at the Remote Sensing Technology Institute at the Earth Observation Center, DLR German Aerospace Center.
The discussion will be moderated by Alexandra Rosenbach, International Relations Officer at the Helmholtz Association of German Research Centers.
The Helmholtz Information & Data Science Academy (HIDA) is Germany's largest postgraduate education network in information and data science, connecting and serving as an umbrella for 6 data science research schools linked by a network of 14 national research centers and 17 top universities across Germany. The goal of the Schools is to support PhD students at the intersection of domain research and information & data science, together with the universities and other research institutions in the regions of the Helmholtz Centers where the Research Schools are located.
By participating in the Gender Summit and organizing the pre-event, we set an example for diversity, equal opportunities and Open Science and enable networking for female researchers regardless of gender, origin and research field. We are looking for answers to the question: how can equal opportunities be promoted in and through research with data? After all, data science is only as diverse, fair, and open as the concepts and methods on which it is built.
The event, "How to Become a Data Scientist? Career Paths of Women in Data Science" is a pre-event at the Gender Summit 2021 "Gender Equality, Diversity, Inclusion post-Corona: Quo vadis?" April 14-16, 2021.
The Gender Summit is a platform for dialogue where scientists*, policymakers, gender researchers*, and stakeholders in science systems examine new research that shows when, why, and how biological differences (narrowly, sex) and sociocultural differences (narrowly, gender) between women and men affect outcomes.
The goal is to build consensus on where improvements in scientific knowledge and practice are needed and who should act.
The pre-event is an event of the Helmholtz Association with the support of the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the HIDA team.
