Friday, November 1, 2019 from 8:00 AM to 5:00 PM PDT
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Frances C. Arrillaga Alumni Center 
326 Galvez Street
Barnes/McDowell/Cranston rooms
Stanford, CA 94305-6105

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Margot Gerritsen (margootje.gerritsen@stanford.edu) 
School of Earth, Energy, and Environmental Sciences 

Hosted by:


Register Now: Women in Data Science @ Stanford Earth 

Women in Data Science@Stanford Earth features outstanding work done by outstanding women with the aim to educate, inspire and provide network opportunities for students, faculty and researchers. The workshop covers a range of topics in fundamental science as well as application areas in Earth resources, hazards, climate and sustainability.

WiDS @Stanford Earth is part of the global WiDS initiative that aims to inspire and educate data scientists and data science enthusiasts worldwide, regardless of gender, and to support women in the field. WiDS includes a global conference held annually at Stanford, nearly 200 regional conferences in over 55 countries, an annual datathon and a podcast series (widsconference.org).

The event features nine speakers from the US and abroad who discuss groundbreaking research at the intersection of data science and the Earth Sciences. This year, the three main areas of research covered are Climate & Sustainability, Geophysics and Earth & Planetary Sciences. Apart from technical talks, the day will also feature panels on education, research collaboration and career planning as well as a poster presentation by women graduate students.

We hope you will join us on this exciting workshop. The event is free of charge, but registration is required and limited. Encourage your students to register!

Preliminary agenda:

Session 1: Climate & Sustainability

  • Machine learning for weather and climate - opportunities, challenges and promising strategies, Imme Ebert-Uphoff, Colorado State University
  • Compressing Climate Data: Reducing Storage While Preserving Scientific Integrity, Dorit Hammerling, Colorado School of Mines
  • Achieving Water Security by Harnessing the Data Revolution, Newsha Ajami, Stanford University

Session 2: Geophysics

  • Jupyter meets the Earth: from geophysical inversions to open, collaborative geoscienceLindsey Heagy, University of California, Berkeley
  • Earthquake monitoring in the age of ‘big data’Karianne Bergen, Harvard University
  • High-throughput seismology: new sensors, new signals, new algorithmsEileen Martin, Virginia Tech 

 Session 3: Earth & Planetary Sciences

  • Minerals of Earth: Modeling Natural Distributions, Grethe Hystad, Purdue University
  • Actionable Insights from Remote Sensing Enabled by Machine Learning, from Earth to Mars, Hannah Kerner (Arizona State University
  • Maximizing insight from machine learning investigations in the geosciences, Anya Reading, University of Tasmania

 Session 4: Panel discussion on education, research collaboration and career planning