Ready for a new chapter of industry-academia collaboration:
Today, 12th May, the Industry Engagement Section commences its activities with a kickoff meeting at DECHEMA in Frankfurt a. M. The meeting marks an inspiring beginning for discussing the strategic direction of the section and paving the way for impactful collaborations between industry and the NFDI consortia, basic services, and sections. Find the section concept here.
Women in Data Science (WiDS) empowers women in the field of data science through inspiration, education, community and support. Originally established as a one-day technical conference at Stanford University in November 2015, WiDS has evolved into a global movement over the past seven years. It encompasses numerous initiatives worldwide and includes a conference in Munich this year.
The “WiDS Munich Conference” will take place on June 19, 2023, from 3:30 to 7:30 p.m. at Brienner Forum, Richard-Wagner-Str. 1, Munich. The event will kick off with speed dating, followed by lightning talks from data scientists in academia and industry, small group discussions, and will conclude with finger food.
The objective of the event is to inspire and connect data scientists, as well as individuals interested in data science, including those aspiring to become data scientists. The event extends a warm invitation to all interested individuals, regardless of gender, and aims to inspire and engage girls and women in this field through the participation of renowned women in data science.
The event will be held in English. Please find more information and registration here: www.widsmunich.de
Apply now by February 15th for the “Data Science for Social Good” summer fellowship in Munich in 2023!
Hosted by the Chair of Frauke Kreuter and the Munich Center for Machine Learning (MCML), this 2-month full-time program joins forces of aspiring talents in the area of Data Science in small groups to work on projects with a positive societal impact.
The program is designed for two teams of 4-5 fellows, each working on a separate project for the social good. Both teams will be assisted by a Technical Mentor and a Project Manager. The participants receive a fellowship that covers living expenses for the time of the program from August 1st – September 30th.
The program is aimed at students, recent graduates or PhD students from diverse scientific, as well as geographical backgrounds. We therefore encourage applications from the fields of data science, computer science, statistics, but also in general the social and natural sciences.
Just in time for privacy day, BERD@NFDI and the Transatlantic Privacy Perceptions Panel (TAPP) invite you to join the online discussion on perceptions, practices, and policies of digital privacy.
Jessica Vitak (University of Maryland), Leah von der Heyde (LMU Munich), and Zothan Mawii (University of Maryland) will present first results from TAPP’s qualitative and quantitative research on the Diversity of Transatlantic Stakeholders’ Privacy Perceptions.
Vasilka Stoilova (University of Mannheim) and Markus Herklotz (LMU Munich) from BERD@NFDI will show how the interactive Virtual Assistant (iVA) contributes to privacy literacy in practice.
A panel discussion featuring Alena Buyx (TU Munich), Kobbi Nissim (Georgetown University), and Philipp Räther (Allianz) will explore the question how data sharing and protection can be balanced in the development and use of AI, moderated by Frauke Kreuter (LMU Munich & University of Maryland).
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