News

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.

If you are interested in joining the program or have students, friends or colleagues in mind that could be interested, check out the website and apply by February 15th: https://sites.google.com/view/dssgx-munich-2023/startseite

Please also share this call in your network, in classes you teach or approach people directly.

In case of any concerns please feel free to reach out via dssg2023@stat.uni-muenchen.de

At the Kiel or Hamburg location, a position is available as soon as possible to strengthen the team as

Software Architect and Engineer for innovative Research Data Infrastructures

Candidates are supposed to contribute to software development projects such as the BERD@NFDI Consortium of the National Research Data Infrastructure (NFDI).

There is the possibility to combine it with a PhD in computer science.

Please find further informations here.

Quo Vadis, Digital Privacy? Perceptions, Practices, and Policies
January 26, 2023, 5 – 6.45 pm CET, online
https://lmu-munich.zoom.us/webinar/register/WN_HGwcDaUyRwyaPJqG_Ia32A

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).

Please register for the free event on January 26, 5 – 6.45 pm CET here: https://lmu-munich.zoom.us/webinar/register/WN_HGwcDaUyRwyaPJqG_Ia32

An der Universitätsbibliothek Mannheim ist zum nächstmöglichen Zeitpunkt eine befristete Teilzeitstelle als Referent/in für Communication and Dissemination (m/w/d) zu besetzen.

Mit Ihrem Kommunikationstalent interagieren Sie mit Nutzer*innen, Stakeholder*innen und Gestalter*innen der BERD@NFDI-Plattform.

Weitere Informationen entnehmen Sie bitte der Stellen­ausschreibung.

The planned InfraTalk by Porf. Dr. Klaus Tochtermann (ZBW) “Commercial Cloud Solutions for non-commercial RDM” announcd for December 5th has to be postponed to a later date.

At the Kiel or Hamburg location, a position is available as soon as possible to strengthen the team as

Software Architect and Engineer for innovative Research Data Infrastructures

Candidates are supposed to contribute to software development projects such as the BERD@NFDI Consortium of the National Research Data Infrastructure (NFDI).

There is the possibility to combine it with a PhD in computer science.

Please find further informations here.

If you are interested in the field of Teaching & Education, have good communication and organizational skills, then you might be the new student assistant we are looking for!

BERD@NFDI is part of the National Research Data Infrastructure (NFDI) aims to build a powerful platform for the collection, processing, analysis and storage of business and economic data.

The starting date is as soon as possible and working hours are 20-40 per month.

For more information, please refer to the job advertisement:

Vacancy for teaching & education (PDF, 250KB)

We look forward to receiving your application!

Best practices and case studies can be submitted on the motto “Empower Your Research – Preserve Your Data” and on the topics: data archiving, reproducability and reuse, data publications and open science, data formats and standards, data law, data protection and data security, qualityt assurance, generic and specific RDM tools and institutional solutions. More informations can be found here.

Important dates: Abstract (500 words) submission deadline: 31.10.2022

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This ReproHack will take place in Mannheim on October 11th and is open for all researchers which are interested in reproducibility and wants to have some hands-on experience. Performed by Anna Krystalli as one of the co-founders of ReproHacks, Joel Nitta and Camille Landesvatter support the event with invited talks.

Aim is to bring researchers together to reproduce publicly available research papers with associated data. The results on reproducibility, transparency and reusability will be discussed and feedback to the authors will be prepared.

Independently of participation, your online available articles/preprints with open data/code can be submitted for ReproHack here (after login/registration).

Further information: Full program and registration

We are very happy to announce the call for papers of the joint workshop of IAB, ifo, and ZEW as well as the associated research data centres IAB-FDZ, EBDC (ifo), and ZEW-FDZ including BERD@NFDI at 24./25. November in Mannheim. The submission deadline of papers and extended abstracts in English and German is the 16th of September 2022.

We look forward to contributions from all areas of empirical economic research with a focus on big data analysis of unstructured data, measurement data and research data that are created by linking administrative and/or survey data using machine learning algorithms. More information can be found here.