HDSI Event: Representation in Academia – 4/9

Representation in Academia

Using data science to better understand and overcome the challenges women face in academia

Tuesday, April 9, 2019
1:30 PM – 3:30 PM
Science Center Lecture Hall E
1 Oxford St Cambridge

Featuring remarks from:

Kumsal Bayazit (MBA ’01)
Chief Executive Officer, Elsevier

A panel discussion moderated by Francesca Dominici, Clarence James Gamble Professor of Biostatistics, Population and Data Science Co-Director of the Data Science Initiative and featuring:

  • Kumsal Bayazit, Elsevier Chief Executive Officer, and Chair of the RELX Technology Forum
  • Jessie DeAro, Program Director, National Science Foundation ADVANCE: Organizational Change for Gender Equity in STEM Academic Professions
  • Kathleen McGinn, Cahners-Rabb Professor of Business Administration; Senior Associate Dean for Faculty Strategy and Recruiting
  • Sharon-Lise Normand, S. James Adelstein Professor of Health Care Policy in the Department of Health Care Policy at Harvard Medical School and Department of Biostatistics at the Harvard School of Public Health
  • Lesley Thompson, Vice President Academic & Government Strategic Alliance, Elsevier

Please join us for a discussion of how we are using data science to understand and overcome the challenges that face women in academia.

At this event, we will explore the potential for data science to generate new insights about differential representation in academia.  By furthering our understanding of diversity and inclusion in scientific presentation, publication, and innovation we can examine how patterns reflect and may affect the careers of women.

Presenting work from data scientists at both Elsevier and Harvard – and building on the ground-breaking segmentation in Elsevier’s Gender in the Global Research Landscape report – we can ask these questions and others. Elsevier is one of the world’s major providers of scientific, technical, and medical information and is collaborating with the Harvard Data Science Initiative to make meaningful change through the power of data science.

Event Registration

In collaboration with The Office of the Provost and Elsevier