QPD-Modul 2: Datenkompetenz und digitale Methoden
As methodology utilizing language models is increasingly applied to a variety of contexts from social science, health-care settings to computer software development, research suggests a growing need to monitor potential biased outcomes of its use. However, the absence of collaborative understanding between researchers of social science and those in Natural Language Processing (NLP), perpetuates discrimination as biases in the conception and measurement of socio-technical systems often go unrecognized. Therefore we hope to engage a diverse group of researchers involved in the methodology of social or economic fields of discipline to address this prejudice in language technologies.
Submissions of abstracts are encouraged to involve aspects of bias in the mitigation and measurement of NLP, as well as its implications in the social sciences. The submission deadline falls on February 23rd, 2025.
For further details, including the Call for Abstracts and registration, please visit the program page.
Date
3 & 4 April 2025, 9am-4pm (tbc)
Language
English
Organization
Fatma Elsafoury and Jan Batzner (co-organizers)
Workshop participants (as speakers)
Zeerak Talat (ILCC, Edinburgh) and Flor Miriam Plaza-del-Arco (MilaNLP, Bocconi) (as guest-speakers)
Participation: The event is an offer for members of the bidt Graduate Center for Doctoral Researchers.
Fatma Elsafoury is a Postdoc at Fraunhofer FOKUS and the Weizenbaum Institute in the research group Data, Algorithmic Systems and Ethics. She ist interested in social computing, in particular questions related to social bias, toxicity, hate speech and fairness.
Jan Batzner is a full-time Researcher at Weizenbaum Institute Berlin, the German Internet Institute, and a Ph.D. Student in Computer Science. He graduated with a Master‘s in Data Science and Quantitative Methods from Columbia University in New York City.