The IGOT Library and GEOMODLAB are hosting another session of "In Conversation with" on 14 May, this time featuring guests Genoveva Vargas Solar, focused on the theme University in (R)evolution: Research and Teaching in the Age of Artificial Intelligence.

Genoveva Vargas Solar will address the topic "Who Does AI Serve? Exploring Inclusive, Decolonial, and Anti-Meritocratic Perspectives in Research and Academia in the Age of AI".

The event will take place in a online format and is free of charge, with no registration required.

Online access link

Author bio:
 

Genoveva Vargas Solar - (she/her - http://www.vargas-solar.com) is a senior researcher at the French Council for Scientific Research (CNRS). She is a member of the Databases group at the Laboratoire d'Informatique sur l'Image et les Systèmes d'Information (LIRIS). She is a full Mexican Academy of Computing (AMEXCOMP) member. Her sui generis education includes two PhDs and two MAs, respectively, in Computer Science and Comparative Literature (Mythocriticism and Mythoanalysis) from the University of Grenoble and several certificates in feminist and gender studies from the National Autonomous University of Mexico (UNAM). Genoveva Vargas-Solar is the gender equity officer of the Gender Equity Commission of the LIRIS laboratory. She represents EDBT Endowment (a major European database conference) in the DEI database interconference initiative. She is member of the executive boards of database conferences like EDBT, SIGMOD, ADBIS, AMW and BDA. She is a member of the activist group Common Ground and participates in the European Gender STI and SPIDER projects as part of the CNRS partner group. She contributes to the construction of service-based database/data science management systems. She aims to design data science workflows, new queries and enactment services guided by service level objectives (SLOs). Her work mainly addresses data science queries exploiting graphs. She proposes query evaluation methodologies, algorithms, and tools for composing, deploying and executing data science functions in just-in-time architectures (disaggregated data centres). She conducts fundamental and applied research activities to address these challenges in ARM, Raspberry, cluster, cloud, and HPC architectures.