TUM Think Tank
Where today's societal challenges meet tomorrow's technological excellence.
The Women in Data Science Munich Conference, held on June 19, 2023, marked a significant step towards promoting gender diversity and empowering women in the realm of data science. Through its diverse range of activities, exceptional speakers, and inclusive approach, the conference demonstrated the immense potential of collaboration and knowledge-sharing in shaping the future of data science. The event served as a testament to the ongoing commitment to fostering innovation, inclusivity, and excellence in the field, while inspiring and connecting individuals passionate about data science, regardless of gender.
Conference Highlights
The WiDS Munich Conference featured an array of engaging activities designed to facilitate inspiration, learning, and networking
- Speed Dating: The conference commenced with a unique "speed dating" session, allowing participants to connect and exchange ideas in a dynamic and fast-paced environment.
- Lightning Talks: Data scientists from academia and industry delivered insightful lightning talks, covering a diverse range of topics within data science. Of particular interest were talks discussing the role of women in AI development and robotics, as well as a comparison of career opportunities in industry and academia.
- Small Group Discussions: Attendees had the opportunity to participate in small group discussions, enabling in-depth conversations and the exchange of perspectives on various data science subjects.
- Finger Food and Networking: The event concluded with a networking session accompanied by finger food, providing a relaxed atmosphere for attendees to further connect and forge meaningful relationships.
The WiDS Munich Conference boasted a distinguished lineup of participants, including accomplished data scientists from renowned organizations such as Google, Sixt, borisgloger consulting, and Cornell Tech Information Science. Moreover, the event showcased the research contributions of women from Ludwig-Maximilians-Universität München and TUM, highlighting the local expertise in the field.
Impact and Future Implications
The conference exemplified the power of collaboration and shared knowledge in advancing gender diversity and innovation within the data science domain. By connecting experts, learners, and enthusiasts, the event succeeded in creating a vibrant community where ideas were exchanged, challenges discussed, and inspiration kindled.
Women of TUM
Women of TUM is a rapidly growing, living network which connects women with one another – 15,468 female students, 110 female professors and more and more alumnae every year. This lively network is quickly spreading and bringing together women across the boundaries of continents, generations, hierarchy levels and specializations.
In the Women of TUM network, women are forming a community in which they mutually support and inspire one another, regardless of their academic disciplines or industry sectors. Here women also find a unique platform which makes them more visible to the public, anchors the role of the woman in the working world and thus establishes role models for future generations.
Women in CS@TUM
Women of CS@TUM is a group of members from the Computer Science and the Computer Engineering Departments of TUM School of Computation, Information and Technology. We are working towards equal participation of women and of other under-represented groups at the School. It is a joint initiative of students, scientific staff and professors who are involved in the topics of diversity in our departments.
TL;DR
The Women in Data Science Munich Conference, held on June 19, 2023, marked a significant step towards promoting gender diversity and empowering women in the realm of data science. Through its diverse range of activities, exceptional speakers, and inclusive approach, the conference demonstrated the immense potential of collaboration and knowledge-sharing in shaping the future of data science. The event served as a testament to the ongoing commitment to fostering innovation, inclusivity, and excellence in the field, while inspiring and connecting individuals passionate about data science, regardless of gender.