Natalia leads on data ethics policy at the Central Digital and Data Office, Cabinet Office in the UK. She previously advised on open government and open data policies for the Department for Digital, Culture, Media and Sport in the UK, and implemented open data challenges for 360Giving. She has research experience in anthropology, gender, civic tech, and economic development, and she has recently co-edited a book: Situating Open Data: Global Trends in Local Contexts. Natalia is a Policy Fellow at the Centre for Science and Policy, University of Cambridge. She received her MSc in Local Economic Development from the London School of Economics and Political Science and her BA in Anthropology and Media from Goldsmiths, University of London.
Algorithmic transparency means different things to different people, but it can be broadly understood as openness about the purpose, structure, and underlying actions of algorithms used to process information.
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