{"id":32694,"date":"2022-11-18T09:57:37","date_gmt":"2022-11-18T08:57:37","guid":{"rendered":"https:\/\/wordpress-test.app.u-pariscite.fr\/bibliotheques\/?p=32694"},"modified":"2022-11-18T16:11:32","modified_gmt":"2022-11-18T15:11:32","slug":"seminaire-donnees","status":"publish","type":"post","link":"https:\/\/wordpress-test.app.u-pariscite.fr\/bibliotheques\/seminaire-donnees\/","title":{"rendered":"S\u00e9minaire \u00ab\u00a0La science \u00e0 l\u2019\u00e9preuve des donn\u00e9es\u00a0\u00bb : nouvelle s\u00e9ance le 18 novembre"},"content":{"rendered":"

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Face aux multiples enjeux des donn\u00e9es qui nous entourent dans le contexte du num\u00e9rique, le s\u00e9minaire \u00ab\u00a0La science \u00e0 l’\u00e9preuve des donn\u00e9es\u00a0\u00bb entend explorer le champ de la data et sa place actuelle, se d\u00e9roulant un vendredi par mois sur le campus des Grands Moulins d’Universit\u00e9 Paris Cit\u00e9.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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La science \u00e0 l\u2019\u00e9preuve des donn\u00e9es<\/h4>\n

Prochaine s\u00e9ance le vendredi 18 novembre 2022 : \u00ab\u00a0Pourquoi et comment critiquer les algorithmes ?\u00a0\u00bb<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row][et_pb_column type=\u00a0\u00bb3_4″][et_pb_text admin_label=\u00a0\u00bbPr\u00e9sentation\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1″ module_id=\u00a0\u00bbcontenu\u00a0\u00bb text_text_shadow_horizontal_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ z_index_tablet=\u00a0\u00bb500″]<\/p>\n

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Il n\u2019y a gu\u00e8re d\u2019activit\u00e9s aujourd\u2019hui dans le monde qui n\u2019utilisent pas ce qu\u2019elles appellent des donn\u00e9es. Les data sont partout. Pour autant, elles ne sont ni donn\u00e9es, ni neutres. C\u2019est l\u00e0 tout l\u2019int\u00e9r\u00eat du s\u00e9minaire \u00ab\u00a0La science \u00e0 l\u2019\u00e9preuve des donn\u00e9es\u00a0\u00bb qui entend explorer le champ de la data<\/em> sur la base de ses diff\u00e9rents enjeux et impens\u00e9s<\/strong> et, par l\u00e0 m\u00eame, contribuer\u00a0\u00e0 la r\u00e9flexion sur la place des donn\u00e9es dans le contexte du num\u00e9rique.<\/p>\n

Le s\u00e9minaire organis\u00e9 par la DGDBM se d\u00e9roule un vendredi par mois, sur le campus des Grands Moulins<\/strong> d\u2019Universit\u00e9 Paris Cit\u00e9<\/strong>\u00a0dans une salle de la Halle aux farines, et en co-modal.<\/p>\n

Les informations pratiques ainsi que les annonces des s\u00e9ances sont\u00a0diffus\u00e9es sur le carnet Hypoth\u00e8ses.<\/a><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n

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Prochaine s\u00e9ance le vendredi 18 novembre<\/h3>\n<\/div>\n
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La nouvelle s\u00e9ance du s\u00e9minaire \u00ab La science \u00e0 l\u2019\u00e9preuve des donn\u00e9es \u00bb (SED) aura lieu le vendredi 18 novembre 2022 de 14h \u00e0 17h <\/i><\/strong>et portera sur le th\u00e8me \u00ab\u00a0Pourquoi et comment critiquer les algorithmes ?\u00a0\u00bb <\/strong>avec pour intervenants Nicolas Brault\u00a0<\/strong>(INTERACT, Institut Polytechnique UniLaSalle Beauvais) et Florian Jaton\u00a0<\/strong>(STSlab, Universit\u00e9 de Lausanne).<\/p>\n

Si vous souhaitez y assister sur place ou bien recevoir le lien de la visio, nous vous prions de bien vouloir remplir le questionnaire suivant.<\/strong><\/a><\/p>\n

Le s\u00e9minaire se d\u00e9roule dans le B\u00e2timent \u00ab\u00a0Halle aux farines\u00a0\u00bb au Campus des Grands Moulins, en salle 264E (la salle initialement pr\u00e9vue a chang\u00e9\u00a0:\u00a0<\/strong>plan \u00e0 t\u00e9l\u00e9charger<\/a>).<\/p>\n<\/div>\n<\/div>\n<\/div>\n

[\/et_pb_text][et_pb_text admin_label=\u00a0\u00bbBibliographie indicative\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1″ module_id=\u00a0\u00bbcontenu\u00a0\u00bb text_text_shadow_horizontal_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ z_index_tablet=\u00a0\u00bb500″]<\/p>\n

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Bibliographie indicative pour la s\u00e9ance<\/h3>\n

– <\/strong>Brault N, Saxena M., 2021.For a critical appraisal of artificial intelligence in healthcare: The problem of bias in mHealth,\u00a0Journal of Evaluation in Clinical Practice<\/em>, juin 2021;27(3):513\u20119\u00a0(https:\/\/doi.org\/10.1111\/jep.13528<\/a>).<\/p>\n

– Brault, N., Duchemann, B., Saxena, M., 2021. Epistemological Issues and Challenges with Artificial Intelligence in Healthcare, in Saxena A, Brault N, Rashid S.\u00a0 (\u00e9diteurs), 2021.\u00a0Big Data and Artificial Intelligence for Healthcare Applications<\/em>, 1re \u00e9d, Boca Raton\u202f: CRC Press, juin 2021, p. 235-270 (https:\/\/doi.org\/10.1201\/9781003093770<\/a>).<\/p>\n

– Jaton F (2021)\u00a0The Constitution of Algorithms: Ground-Truthing, Programming, Formulating<\/em>. Cambridge, MA: The MIT Press.<\/p>\n

– Jaton F (2021) Assessing biases, relaxing moralism: On ground-truthing practices in machine learning design and application.\u00a0Big Data & Society<\/em>\u00a08(1): 20539517211013569.<\/p>\n

– Jaton F (2019) \u00ab Pardonnez cette platitude \u00bb : de l\u2019int\u00e9r\u00eat des ethnographies de laboratoire pour l\u2019\u00e9tude des processus algorithmiques.\u00a0Zilsel \u2013 Science, technique, soci\u00e9t\u00e9<\/em>\u00a05: 315-43.<\/p>\n

– Jaton F (2017) We get the algorithms of our ground truths: Designing referential databases in digital image processing.\u00a0Social Studies of Science<\/em>\u00a046(7) : 811-40.<\/p>\n

Autres textes importants<\/h3>\n

– Lee F (2021) Enacting the Pandemic: Analyzing Agency, Opacity, and Power in Algorithmic Assemblages.\u00a0Science & Technology Studies<\/em>\u00a034 (1): 65\u201390.<\/p>\n

– Bechmann, A and Bowker GC (2019) Unsupervised by Any Other Name: Hidden Layers of Knowledge Production in Artificial Intelligence on Social Media.\u00a0Big Data & Society<\/em>\u00a06 (1): 205395171881956. DOI:10.1177\/2053951718819569<\/a>.<\/p>\n

– Ntoutsi, Eirini, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria\u2010Esther Vidal, Salvatore Ruggieri, et al. 2020.\u00a0\u00ab\u00a0Bias in Data\u2010driven Artificial Intelligence Systems\u2014An Introductory Survey\u00a0\u00bb.\u00a0WIREs Data Mining and Knowledge Discovery<\/em>\u00a010 (3) (https:\/\/doi.org\/10.1002\/widm.1356<\/a>).<\/p>\n

– Pearl, Judea. 2019. \u00ab The Seven Tools of Causal Inference, with Reflections on Machine Learning \u00bb.\u00a0Communications of the ACM 62 (3): 54\u201160. (https:\/\/doi.org\/10.1145\/3241036<\/a>).<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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Par ailleurs, vous trouverez sur le\u00a0carnet hypoth\u00e8ses du s\u00e9minaire<\/a><\/strong>\u00a0une\u00a0pr\u00e9sentation d\u00e9taill\u00e9e du projet<\/a>\u00a0qui le sous-tend, son\u00a0programme<\/a> ainsi qu\u2019un retour sur les s\u00e9ances pr\u00e9c\u00e9dentes :<\/p>\n