{"id":80,"date":"2023-12-22T22:11:13","date_gmt":"2023-12-22T22:11:13","guid":{"rendered":"http:\/\/vargas-solar.com\/aequitas\/?page_id=80"},"modified":"2026-08-09T20:25:09","modified_gmt":"2026-08-09T20:25:09","slug":"machine-learning-algorithms-for-understanding-and-closing-the-gender-gap","status":"publish","type":"page","link":"https:\/\/vargas-solar.com\/aequitas-liris-fr\/machine-learning-algorithms-for-understanding-and-closing-the-gender-gap\/","title":{"rendered":"Machine Learning Algorithms for understanding and closing the gender gap"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong><em>(French version below)<\/em><\/strong><\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"><em>Are you a group of students willing to apply technology for good? Are you excited about exploiting data for understanding social phenomena? Are you interested in understanding the gender gap issues to better develop a more egalitarian society? We are looking for you!<\/em><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Working language: French and English<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><em>Advisors<\/em><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Genoveva Vargas-SolarCNRS,\u00a0Database group,\u00a0LIRIS<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"mailto:genoveva.vargas-solar@cnrs.fr\">genoveva.vargas-solar@cnrs.fr<\/a><em><\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><em>1.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/em><em>Context<\/em><em><\/em><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This internship will be developed in the context of the projects JOWDISAI and SINFONIA of the Gender Equity Commission of the LIRIS lab.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As AI and data science become almost ubiquitous in everyday life. The last decade has seen a pervasiveness of AI and data science in everyday life, often incurring a gender gap in involvement that is important to bridge. As these disciplines are evolving particularly fast, both in industry and academia, there is a need for a comprehensive mapping showing how these gaps manifest themselves. The unbalanced sharing of opportunities offered by these disciplines is fundamentally an ethical issue of social and economic justice and a question of value in diversity [62]. Thus, it is crucial to understand the forces at play in the persistence of this discriminatory situation and the distribution of opportunities as a function of unequal access to education, the supply of undergraduate and graduate programs in the disciplines, the economic investment and technological advances promoted by governments, and of course the perspectives that underrepresented communities have regarding elite opportunities.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><em>1.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/em><em>Objectives and expected results<\/em><em><\/em><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The objective is to study and reflect on the gender dynamics of careers in data science and AI by specifying a (1) methodology for collecting and analysing data on the presence and position of women in the labour market opened by these disciplines (2) network of groups and organisations working on F\/M equality in AI and data science. The intern will develop two studies:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong><em>Women and Career Advancement<\/em><\/strong>: Graph Path to Success<a href=\"\/\/99812F60-0C4F-4DAE-ABEB-A9952672DCE9#_ftn1\"><sup>[1]<\/sup><\/a>\u00a0the question to answer is What pathways did successful women leverage to attain career goals, and how can that be replicated or enhanced? The focus will be on women in artificial intelligence and data science.<\/li><li><strong><em>Where are French Scientists in AI and DS<\/em><\/strong>: collect data from different public social networks and lab data to observe the roles of women in AI and DS activities both in academia and in industry.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><em>Tasks<\/em><em><\/em><\/h2>\n\n\n\n<ol class=\"wp-block-list\" type=\"1\"><li>Initial getting acquainted with basic concepts and best practices.\u00a0<\/li><li>Design and implementation of a general data analytics pipeline of the topics enumerated above: preparation, analytics, and assessment with at least three ML methods.<\/li><li>Develop a dashboard for the pipelines.<\/li><\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><em>Expected results<\/em><\/h2>\n\n\n\n<ol class=\"wp-block-list\" type=\"1\"><li>Reproducible experiments: Github of the pipelines implemented<\/li><li>Dashboards for the performed study(ies)<\/li><\/ol>\n\n\n\n<h1 class=\"wp-block-heading\">Algorithmes d&rsquo;apprentissage automatique pour comprendre et combler l&rsquo;\u00e9cart entre les sexes<\/h1>\n\n\n\n<pre class=\"wp-block-preformatted\"><em>\u00cates-vous un groupe d'\u00e9tudiants d\u00e9sireux de mettre la technologie au service du bien ? \u00cates-vous enthousiastes \u00e0 l'id\u00e9e d'exploiter les donn\u00e9es pour comprendre les ph\u00e9nom\u00e8nes sociaux ? \u00cates-vous int\u00e9ress\u00e9s par la compr\u00e9hension des probl\u00e8mes li\u00e9s \u00e0 l'\u00e9cart entre les sexes pour mieux d\u00e9velopper une soci\u00e9t\u00e9 plus \u00e9galitaire. Nous sommes \u00e0 la recherche de vos comp\u00e9tences !<\/em><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Langue de travail : Fran\u00e7ais et Anglais<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><em>Encadrante<\/em><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Genoveva Vargas-Solar<\/em>, <em>CNRS, Groupe des bases de donn\u00e9es, LIRIS<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>genoveva.vargas-solar@cnrs.fr<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Contexte<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Ce stage sera d\u00e9velopp\u00e9 dans le cadre des projets JOWDISAI et SINFONIA de la commission \u00e9galit\u00e9 de genre du laboratoire LIRIS.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Alors que l&rsquo;IA et la science des donn\u00e9es deviennent presque omnipr\u00e9sentes dans la vie quotidienne. Au cours de la derni\u00e8re d\u00e9cennie, l&rsquo;IA et la science des donn\u00e9es sont devenues omnipr\u00e9sentes dans la vie de tous les jours, entra\u00eenant souvent un \u00e9cart de participation entre les sexes qu&rsquo;il est important de combler. Comme ces disciplines \u00e9voluent particuli\u00e8rement vite, tant dans l&rsquo;industrie que dans le monde universitaire, il est n\u00e9cessaire d&rsquo;\u00e9tablir une cartographie compl\u00e8te montrant comment ces \u00e9carts se manifestent. Le partage d\u00e9s\u00e9quilibr\u00e9 des opportunit\u00e9s offertes par ces disciplines est fondamentalement une question \u00e9thique de justice sociale et \u00e9conomique, et une question de valeur dans la diversit\u00e9. Ainsi, il est crucial de comprendre les forces en jeu dans la persistance de cette situation discriminatoire et la distribution des opportunit\u00e9s en fonction de l&rsquo;in\u00e9galit\u00e9 d&rsquo;acc\u00e8s \u00e0 l&rsquo;\u00e9ducation, de l&rsquo;offre de programmes de premier et deuxi\u00e8me cycles dans les disciplines, de l&rsquo;investissement \u00e9conomique et des avanc\u00e9es technologiques promues par les gouvernements, et bien s\u00fbr des perspectives que les communaut\u00e9s sous-repr\u00e9sent\u00e9es ont concernant les opportunit\u00e9s de l&rsquo;\u00e9lite.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Objectifs et r\u00e9sultats attendus<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">L&rsquo;objectif est d&rsquo;\u00e9tudier et de r\u00e9fl\u00e9chir \u00e0 la dynamique de genre des carri\u00e8res en science des donn\u00e9es et en IA en sp\u00e9cifiant (1) une m\u00e9thodologie de collecte et d&rsquo;analyse des donn\u00e9es sur la pr\u00e9sence et la position des femmes sur le march\u00e9 du travail ouvert par ces disciplines (2) un r\u00e9seau de groupes et d&rsquo;organisations travaillant sur l&rsquo;\u00e9galit\u00e9 F\/M en IA et en science des donn\u00e9es. Le stagiaire d\u00e9veloppera deux \u00e9tudes :<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Les femmes et l&rsquo;avancement professionnel : Graph Path to Success<a href=\"\/\/99812F60-0C4F-4DAE-ABEB-A9952672DCE9#_ftn2\"><sup>[2]<\/sup><\/a>&nbsp;la question \u00e0 laquelle il faut r\u00e9pondre est la suivante : quelles voies les femmes qui ont r\u00e9ussi ont-elles emprunt\u00e9es pour atteindre leurs objectifs de carri\u00e8re, et comment cela peut-il \u00eatre reproduit ou am\u00e9lior\u00e9 ? L&rsquo;accent sera mis sur les femmes dans l&rsquo;intelligence artificielle et la science des donn\u00e9es.<\/li><li>O\u00f9 sont les scientifiques fran\u00e7aises dans l&rsquo;IA et la DS : collecte de donn\u00e9es \u00e0 partir de diff\u00e9rents r\u00e9seaux sociaux publics et de donn\u00e9es du laboratoire pour observer quels sont les r\u00f4les des femmes dans les activit\u00e9s d&rsquo;IA et de DS, tant dans le milieu universitaire que dans l&rsquo;industrie.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">T\u00e2ches<\/h3>\n\n\n\n<ol class=\"wp-block-list\" type=\"1\"><li>Se familiariser avec les concepts de base et les meilleures pratiques.&nbsp;<\/li><li>Conception et mise en \u0153uvre d&rsquo;un pipeline g\u00e9n\u00e9ral d&rsquo;analyse de donn\u00e9es des sujets \u00e9num\u00e9r\u00e9s ci-dessus : pr\u00e9paration, analyse, \u00e9valuation avec au moins trois m\u00e9thodes ML.<\/li><li>D\u00e9velopper un tableau de bord pour les pipelines.<\/li><\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">R\u00e9sultats attendus<\/h3>\n\n\n\n<ol class=\"wp-block-list\" type=\"1\"><li>Exp\u00e9riences reproductibles : Github des pipelines mis en \u0153uvre.<\/li><li>Tableaux de bord pour la ou les \u00e9tudes r\u00e9alis\u00e9es<\/li><\/ol>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"\/\/99812F60-0C4F-4DAE-ABEB-A9952672DCE9#_ftnref1\"><sup>[1]<\/sup><\/a>&nbsp;https:\/\/data.world\/scuttlemonkey\/women-and-career-advancement<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"\/\/99812F60-0C4F-4DAE-ABEB-A9952672DCE9#_ftnref2\"><sup>[2]<\/sup><\/a>&nbsp;<sup>[2]<\/sup>&nbsp;https:\/\/data.world\/scuttlemonkey\/women-and-career-advancement<\/p>\n","protected":false},"excerpt":{"rendered":"<p>(French version below) Are you a group of students willing to apply technology for good? Are you excited about exploiting data for understanding social phenomena? Are you interested in understanding the gender gap issues to better develop a more egalitarian society? We are looking for you! Working language: French and English Advisors Genoveva Vargas-SolarCNRS,\u00a0Database group,\u00a0LIRIS [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width.php","meta":{"footnotes":""},"class_list":["post-80","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/vargas-solar.com\/aequitas-liris-fr\/wp-json\/wp\/v2\/pages\/80","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vargas-solar.com\/aequitas-liris-fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/vargas-solar.com\/aequitas-liris-fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/vargas-solar.com\/aequitas-liris-fr\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/vargas-solar.com\/aequitas-liris-fr\/wp-json\/wp\/v2\/comments?post=80"}],"version-history":[{"count":1,"href":"https:\/\/vargas-solar.com\/aequitas-liris-fr\/wp-json\/wp\/v2\/pages\/80\/revisions"}],"predecessor-version":[{"id":124965,"href":"https:\/\/vargas-solar.com\/aequitas-liris-fr\/wp-json\/wp\/v2\/pages\/80\/revisions\/124965"}],"wp:attachment":[{"href":"https:\/\/vargas-solar.com\/aequitas-liris-fr\/wp-json\/wp\/v2\/media?parent=80"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}