CESTA Seminar Series with Dr. Londa Schiebinger

Date
Tue November 6th 2018, 12:00 - 1:00pm
Event Sponsor
Center for Spatial and Textual Analysis (CESTA)
Location
Wallenberg Hall, Fourth Floor
CESTA Seminar Series with Dr. Londa Schiebinger

Please join us Tuesday, November 6th, in the seminar room at CESTA (Bldg. 160, Rm. 433A) from 12:00–1:20pm for the next lecture in our fall quarter CESTA Seminar Series.   

Dr. Londa Schiebinger will present on:

Gendered Innovations in AI and Robotics

Abstract:  

How can we harness the creative power of gender analysis for discovery and innovation? Gendered Innovations stimulates excellence in science and technology by integrating sex and gender analysis into research. This talk focuses on our recent work in Machine Learning and Robotics. I’ll discuss gender and fairness in ML and should social robots be gendered. To match the global reach of science and technology, Gendered Innovations was developed through a collaboration of over a hundred experts from across the United States, Europe, Canada, and Asia. Major funders for Gendered Innovations include the European Commission, the U.S. National Science Foundation, and Stanford University. Join our listserv to receive updates on gendered innovations research: To subscribe, click here.

About the speaker: 

Londa Schiebinger is the John L. Hinds Professor of History of Science at Stanford University. She currently directs the EU/US Gendered Innovations in Science, Health & Medicine, Engineering, and Environment project. She is a leading international expert on gender in science and technology and has addressed the United Nations on the topic of “Gender, Science, and Technology.” She is an elected member of the American Academy of Arts and Sciences and the recipient of numerous prizes and awards, including the prestigious Alexander von Humboldt Research Prize and Guggenheim Fellowship. Her work on Gendered Innovations (genderedinnovations.stanford.edu) harnesses the creative power of sex and gender analysis to enhance excellence and reproducibility in science and technology.

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