Contact : christophe.leclercq[AT]sciencespo.fr
Christophe Leclercq worked as project manager from 2004 to 2010 at CITU, an interdisciplinary research laboratory at Paris 8 and Paris 1 Universities. For 5 years, he was in charge of matching artists and engineers/programmers, and of managing their subsequent collaborations, ensuring the development of experimental projects in art and heritage and the promotion and diffusion of their research via exhibitions, workshops, lectures and conferences. His research is based, in large part, on the digital archives of art history and other external art projects (i.e E.A.T. Datascape). He also collaborated with Anarchive on a series of DVD-Roms, books and internet resources designed to enable exploration of an artist’s overall oeuvre via diverse archival material. He has particularly acted as project manager of the ERC AIME Project (‘An Inquiry into Modes of Existence’), led by Bruno Latour from 2011 to 2015. He recently co-curated and co-edited with Bruno Latour the exhibition and catalogue Reset Modernity! (2016, ZKM | Center for Art and Media Karlsruhe / MIT Press). He is now Research Associate at the médialab, working on digital social art history.
Leclercq, Christophe. « Le projet E.A.T. Datascape ou ce que le design numérique peut faire à l’histoire sociale de l’art ». In Collecta. Des pratiques antiquaires aux humanités numériques, Sophie Fétro et Anne Ritz-Guilbert (ed.), 44‑66. Paris: École du Louvre, 2017.
Leclercq, Christophe and Paul Girard. The Experiments in Art and Technology Digital Archive. Rewire 2011 : The fourth International Conference on the Histories of Media Art, Science and Technology. Liverpool, United Kingdom. September 2011.
Leclercq, Christophe, Paul Girard, Daniele Guido, et Patrick Browne. "E.A.T. DATASCAPE. An Exploration of the Experiments in Art and Technology Archives", 2012 [1rst version released: 2011]. URL: http://jiminy.medialab.sciences-po.fr/eat_datascape/.
Ricci, Donato, Robin de Mourat, Christophe Leclercq and Bruno Latour. « Clues. Anomalies. Understanding. Detecting underlying assumptions and expected practices in the Digital Humanities through the AIME project ». Visible Language 49, nᵒ 3 (December 2015): 34‑61.