Using data science to better understand and overcome
the challenges women face in academia
Science Center Lecture Hall E
Event Registration
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:
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.