Dr Lise Jaillant was awarded a British Academy Rising Star Engagement Award (2017-18) for her project “After the Digital Revolution,” which was followed by an AHRC Leadership Fellowship (2018-20) to work on the born-digital records of the poetry publisher Carcanet Press. Jaillant has extensive experience of international research networks. Since 2020, she has led several AHRC-funded projects including AURA (Archives in the UK/ Republic of Ireland and AI: Bringing together Digital Humanists, Computer Scientists & stakeholders to unlock cultural assets) and AEOLIAN (UK/ US: AI for Cultural Organisations). Recent publications include the edited collection “Archives, Access and AI” (to be published open access in 2022), and articles such as “More Data, Less Process: A User-Centered Approach to Email and Born-Digital Archives” (accepted for publication in the world-leading journal American Archivist).
Dr Julien Schuh has led several funded digital humanities projects (ModOAP and BaOIA, development of machine learning tools for the humanities) and the digital components of projects funded by the French National Research Agency (in particular the Numapresse project, aiming to write a history of the French press since 1800 from digitised collections, with the creation of databases and digital tools for automatic analysis). He is also a specialist in the history of the illustrated press at the turn of the 19th and 20th centuries.
Prof. Daniel Foliard is a historian whose core interest is on modern European imperialisms. His first book Dislocating the Orient. British Maps and the Making of the Middle East, 1854-1921,” was published by the University of Chicago Press. Combattre, punir, photographier. Empires coloniaux, 1890-1914, his second monograph, was published in French by La Découverte in 2020. It focuses on photography and colonial conflicts. It will be published in English by Manchester University Press in 2022. Foliard has developed a robust expertise in the historical exploration of sensitive material documenting colonial and imperial contexts.
Dr Camille Kurtz – Camille Kurtz obtained the PhD in Computer Sciences from the Université de Strasbourg, France, in 2012. He was a post-doctoral fellow at Stanford University, CA, USA, between 2012 and 2013. He is now an Associate Professor at
Université de Paris, France and a member of the SIP research group (Systèmes Intelligents de Perception) at LIPADE Lab. His scientific interests include pattern recognition, AI, computer vision, medical imaging, remote sensing and document image analysis.
From a methodological point of view, he addresses both structural models (graph or grid of pixels) and statistical models (distributions) by endeavoring to integrate external knowledge into the image analysis workflow (e.g. additional textual information). Within the framework of content-based image retrieval, the recognition of complex shapes, the indexing and the selection of features can characterize his research activities.
See more: www.math-info.univ-paris5.fr/~ckurtz/
Florence Cloppet – Florence Cloppet obtained the PhD in computer sciences à René Descartes University in 1996 and her professorial thesis in 2016. She is currently deputy director at LIPADE at Paris-Cité Université and member of the SIP research team (‘Systèmes Intelligents de Perception’). Her scientific interests include computer vision, pattern recognition with a particular interest to the knowledge integration to the analysis and image interpretation processes. In this goal, her research topics involve Artificial Intelligence approches (Machine Learning, Multi-Agent Systems into deciding architectures based on argumentation) in the context of biomedical images or documents’ images analysis.
Personal website: http://www.mi.parisdescartes.fr/~cloppet/
Marina Giardinetti – Marina Giardinetti is a research assistant/data architect specialized in creating digital tools for humanities researchers at the LARCA (CNRS, Université Paris-Cité). She is in charge of the data architecture of the EyCon project. She was previously research assistant within the Boîte à outils d’intelligence artificielle project, she was developing tools for collecting and analyzing corpora. She is also lecturer at Paris Nanterre University.
Soumik Mallick – Soumik Mallick is a research engineer at LARCA (CNRS, Université Paris-Cité). He is in charge of developing deep learning algorithms to support historical and archival investigations for the EyCon project. He is implementing methods to extract relevant information from early war pictures and help to understand their content. He was also a former research engineer at INRIA Sophia Antipolis, ENSTA Paris, and ENSICAEN. His research interests mainly focus on computer vision, deep learning, object detection, and natural language processing.