Data has become central to many aspects of our society. However, the social and technical work that lies behind data is often overlooked. This seminar will explore the challenges and state of the art in working with data from both these vantage points.
This event consists of talks from research leaders in computer science, social science and scholarly communication. With Luc Moreau we will see new research on data provenance and explanation that react to the social calls for greater transparency in algorithmic decision making based on data. Philippe Cudré-Maroux will argue that since data frequently captures interrelated entitles (e.g. social networks and knowledge graphs), we need new machine learning techniques (e.g. representation learning) that can work effectively with graph data. Stefania Milian will present her research on data epistemologies and the politics of data work. Finally, we will explore the challenges faced in working with data in scholarly practice. This multifaceted and interdisciplinary seminar provides a unique view on data work. Moderator: Paul Groth.
About the speakers
Luc Moreau is a Professor of Computer Science and Head of the Department of Informatics, at King's College London. He is a world leading authority on data provenance.
Philippe Cudré-Mauroux is a full professor at the University of Fribourg, Switzerland, where he leads the eXascale Infolab. His work explores extracting and integrating data from unstructured content using knowledge graphs. He has worked at MIT, IBM T.J. Watson and EPFL.
Stefania Milan is an Associate Professor of New Media and Digital Culture at the University of Amsterdam. Her work focuses on the interplay the interplay between technologies and society. She is Principal Investigator of the ERC-funded DATACTIVE project that explores the politics of big data.
Helena Cousijn is the Engagement Director of DataCite. DataCite is the leading global non-profit that provides persistent identifiers for research data and other research outputs. Dr. Cousijn has been a pivotal leader in driving adoption of data citation to facilitate data reuse.
Paul Groth is Professor of Algorithmic Data Science at the University of Amsterdam where he leads the Intelligent Data Engineering Lab (INDElab).
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