15LCS Half-Day Training – Analytics for the Social Sector

This is one of five half-day trainings taking place the day before the 2015 Leading Change Summit in Washington, D.C. Half-day trainings are open to both LCS attendees and non-LCS attendees. Space is limited.

This workshop will cover how the tools and methods of advanced analytics meet the operational and programmatic needs of nonprofits and foundations. Andrew Means and Matt Gee, co-founders of the data science shop The Impact Lab, will provide examples for how data is being used across the social sector, what kinds of problems and questions data science is best used for, and how data science can be used to approach evaluation in new ways. Attendees will leave with a strong understanding of how data might help them achieve their goals and address some of their challenges.

Speaker: Andrew Means
Andrew Means is Associate Director of the Center for Data Science & Public Policy at the University of Chicago and Founder of Data Analysts for Social Good and The Impact Lab. Prior to joining the University, Andrew worked as Manager, Impact Measurement & Data Storytelling at Groupon and Director of Research & Analytics at the YMCA of Metropolitan Chicago. He holds a Master in Public Policy from the Harris School at the University of Chicago and is a trained Six Sigma Green Belt from Motorola. Andrew is Chairman of the Board of Directors at The Supply and a member of the Board of Directors at MHA Labs. Recently, The Chronicle of Philanthropy named him one of 8 leaders to watch in 2014.
Speaker: Matt Gee
Matt is an internationally recognized leader in applying data science to public policy challenges. He holds positions at the University of Chicago’s Center for Data Science and Public Policy & the Urban Center for Computation and Data. At the University of Chicago he has lead efforts combining the social sciences with machine learning and big data to drive behavior change and implement adaptive policy interventions. He is the co-founder of the Eric and Wendy Schmidt Data Science for Social Good fellowship, which in its first two years has paired 84 fellows with over 30 national, state, and local government organizations and NGOs. He serves as an advisor to Code for America, DataKind, the Chicago School of Data, and is a member of the World Bank’s Partnership for Open Data. He has previously worked at US Treasury’s Office of Energy and Environment and has previously founded several companies focused on analytics, energy, and finance.