1165 København K
Tlf: 21 17 95 65 (man-fre kl. 9-15)
Seminar — The Coordination for Gender Research at the University of Copenhagen is hosting two seminars focusing on data feminism in October 2021.
Date & Time:
University of Copenhagen, CSS, Østerfarimagsgade 5, Room: 16.2.55
Koordinationen for Kønsforskning
The second of two seminars focusing on a variety of papers addressing vital conceptual, methodological and practical hands on approaches to data feminism. 25th of October 14.00 – 17.00
The aim of the two seminars: Data Feminism I and II, is to provide an interdisciplinary forum and to inspire new research and research perspectives in the field from various approaches and practices. How does provision of new data feed into existing research practices and ideas of diversity and gender equality? Is it possible to collect and organize data collections in ways that support new forms of equality and democratic governance. All in all the two seminars: Data Feminism I and II address the growing interest in combining data science and gender and diversity studies as well as the emerging interest in introducing gender and diversity in data science studies. They will feature paper presentations by leading scholars in the field on vital conceptual, methodological and practical approaches.
14.00 – 14.15: Welcome by Hilda Rømer Christensen
Head of the Coordination for Gender Research
14.15 – 14.45: Cathrine Hasse
Professor of Educational Science at DPU, Aarhus University
14.45 – 15.15: Nanna Thylstrup
Associate Professor of Communication and Digital Media at Copenhagen Business School
15.15 – 16.00: Analyse og Tal
Analyse & Tal, are specialized in counting what is difficult. They analyze complex areas such as volunteering, online communities, the impact of social programs and the spread of mis- and disinformation online.
16.00 – 16.40: Comments and questions plus comments by Samantha Dawn Breslin
Samantha Dawn Breslin is assistant professor at the Department of Anthropology and affiliated with the Copenhagen Center for Social Data Science (SODAS).
16.40 – 17.00: Drinks and snacks