Bielefeld Center for Data Science
Upcoming Events
BiCDaS Lecture Series on Data Science with Prof. Dr. Andreas Witt: Digital Literacy with ChatGPT
On 17 June 2024, Prof. Dr. Andreas Witt from the Leibniz Institute for the German Language Mannheim will give a lecture on "Digital Literacy mit ChatGPT: Kompetenzen zum Umgang mit digitalen Texten". The lecture will take place from 12:15 to 13:45 in the Cafe Nordlicht at Bielefeld University on site but also as a hybrid event online via Zoom.
The lecture is about the importance of digital competences for the humanities, with a focus on the handling of research data. In particular, the role of ChatGPT as a generative language model in the promotion of digital literacy will be highlighted. The lecture will begin with a conceptual introduction to digital literacy and emphasise the role of digital texts in academic work. Aspects of the representation of digital texts, such as character encoding and annotation, as well as their analysis and further processing will be discussed. Python and the spaCy library are particularly emphasised as important tools in this context.
Summer School on Generative AI
BiCDaS is once again sponsoring and co-organising the EuADS Summerschool this year. The summer school will take place from Tuesday the18th of June to Friday the 21st of June in Belair, a district of Luxembourg. The rise of generative AI, particularly through advances in large language models, is revolutionising artificial intelligence and bridging the communication gap between humans and machines. This creates a dynamic field of work and a forum for discussion, as in this summer school.
Past Events
Sustainability Workshop
The newly founded DataLab Sustainability and Climate Change of the BiCDaS invites researchers at Bielefeld University who are working on sustainability, climate change and environmental protection to participate in the Sustainability Networking Workshop on 7 June from 9 am to 2 pm. Following a session of short (approx. 5 min) spotlight presentations, the workshop will bring together groups of researchers with similar research interests with the aim of networking and thus making a more effective joint contribution to sustainability, e.g. by attracting third-party funding for research projects.
Interested researchers are invited to register at katharina.weiss@uni-bielefeld.de. Please include a short note on the sustainability relevance of your own research and whether you are interested in making a Spotlight contribution. The workshop will be held in the German language.
Summer School on Data Science for Explainable and Trustworthy AI
BiCDaS is sponsoring this year's EuADS Summer School - Data Science for Explainable and Trustworthy AI. It will take place from Wednesday the 7th of June to Friday the 9th of June in Kirchberg, Luxembourg. The Summer School will be preceded by a public event on Tuesday 6 June at 13:00. It will focus on the Sabine Krolak-Schwerdt Lecture in memoriam of the founding presidents of EuADS. The lecture will be held by Wolfgang Härdle from the HU Berlin.
Summer School on Explainable Data Science
BiCDaS is involved in organising the EuADS Summer School on Explainable Data Science, which will take place from 10th to 13th of September in Luxembourg.
The event will be started with a public symposium on Data for All - Data Science and the Human Factor. Christopher Bishop FRS FREng, Laboratory Director of Microsoft Research Cambridge will hold the Sabine Krolack Schwerdt lecture.
Summer School on Modern Topics of Time Series Analysis
BiCDaS sponsors a summer school on time series analysis from 9th to 13th of September at Bielefeld University.
Data Science Lecture Series 2019/20
In the upcoming winter term we are again offering a lecture series on Data Science. Announcements of speaker, talks and dates will follow soon.
Lecture Series Data Science 2018/19
In the winter term 2018/19 BiCDaS once again offers a lecture series on Data Science. Recordings of the talks are available here
Data Science Day (May 23rd, 2018)
Data Science happens every day.
And it happens all throughout Bielefeld University.
As a demonstration of the diversity of Data Science the Bielefeld Center for Data Science (BiCDaS) has asked researchers, scholars and data workers throughout the university to show how and where they work with data each and every day.
The result was a stunningly diverse exhibition in the university hall on May 23rd, 2018. Attendees learned about data work in different parts of the data life cycle. From data recording, preparation and analysis to storage, curation, and publication concerns, there were a wide variety of topics represented and many hands-on displays.
True to our "data-clustered" motto, the Data Science Day was as interdisciplinary as BiCDaS. Researchers and scholars from all over the university, as well as data workers from central institutions like the university library and BITS, were available to visitors for questions and discussion.
The scientific fields and topics represented included astronomy, biotechnology, psychology, physics, mathematics, electronics, informatics, digital humanities, machine learning, advanced statistics, high-performance computing (HPC), research data management (RDM), Data Science education and data presentations (data visualization and beyond).
Data at Bielefeld University:
as diverse as the University itself.
12th CeBiTec-Symposium
From March 19th - 21st, 2018, the 12th CeBiTec Symposium took place at the ZiF at Bielefeld University. It once again attracted highly renown life science researchers from all across Europe. BiCDaS co-organised this event and contributed, in particular, the final session — a panel discussion "Legal and Ethical Aspects of Big Data in Medicine and Biotechnology".
The discussion was moderated by Prof. Decker (Bielefeld University). Panel members included Prof Dr Susanne Hähnchen (Bielefeld University) Prof Michael Lindemann (Bielefeld University), Prof Kai Cornelius (University of Regensburg) and Dr Katharina Beier (University of Göttingen). The discussion revolved around current topics including biobanks, benefit sharing, data anonymisation and data donations.
