We cordially invite you to attend this event that will take place at: Eye Collection CentreAsterweg 26, 1031 HP Amsterdam | Friday December 9, 14.30-17.00 hrs | Entrance is free, but reserve your seat as capacity is limited: email@example.com
Exploring Visual Datasets of Security: Mapping, Visualizing, Narrating
Over the past ten years, we are told the eye of human agents – police officers, border guards, neighbors – is being increasingly complemented, sometimes supplemented, by the mechanic eye of algorithmic security systems. Computer vision, i.e. the algorithmic analysis of the content of still and moving images, is increasingly establishing itself as a key technology of contemporary surveillance, enabling techniques such as facial recognition, crowd analysis or automated social media content moderation. Much of the debate around these systems has focused on the algorithms that make these technologies possible. But computer vision algorithms need to be trained on large amounts of visual data. How is this data generated, curated, annotated, and presented? What are the critical methods at our disposal to interrogate these processes? Can we move away from a technical, mathematical understanding of these collections in order to make sense of their politics in different terms? Through the presentation of some of the work of the Security Vision project, as well as previous work from Ruben van de Ven, we explore creative research strategies such as mapping, visualizing and narrating datasets.
Francesco Ragazzi is Associate Professor in International Relations at Institute of Political Science, Leiden University (Netherlands), co-director of ReCNTR, Leiden University’s Center on Multimodal and Audiovisual Methods, and associated scholar at the Centre d’Etude sur les Conflits, Liberté et Sécurité (France). He holds a PhD from Northwestern University and Science Po Paris, as well as a masters in film from Netherlands Film Academy. His research interests include diaspora politics, counter-terrorism and algorithmic security politics. About ReCNTR: www.recntr.nl
Ruben van de Ven is a PhD candidate in Political Science at the Institute of Political Science, Leiden University. His PhD project studies the ethical and political implications of surveillance algorithms that order human gestures. Since graduating from the Master in Media Design programme at the Piet Zwart Institute, he has researched algorithmic politics through media art, computer programming and scholarly work. He has focused on how the human individual becomes both the subject of and input into machine learning processes. About the project 'Plotting Data': http://plottingd.at/a/introduction.html