Using Big Data to Predict Social Impact

Sept 30 2014


Speaking: Jason Saul Nolan Gasser


Evaluation has been a necessary evil for most nonprofits—expensive, time-consuming, impractical, and yet an absolute pre-requisite for funding.  But is there a better way?  The paradigm of evaluation is moving from retrospective, academic research studies to predictive, algorithmic measurement.  With the advent of the Impact Genome Project, we have entered an era of using “big data” to predict social outcomes for most charities and social programs.  As a result, the field can dramatically lower the cost of evaluation and increase its utility to funders and practitioners.  The benefits of predictive data are alluring: benchmarking, better understanding of success factors, more rational resource allocation, improved results.  But there are risks: How reliable are the data?  Will measurement stymie innovation?  Can data be misused?


Join Jason Saul, founder and CEO of Mission Measurement and a leading measurement expert, and Nolan Gasser, architect of Pandora’s Music Genome Project and former professor at Stanford University, to discuss this groundbreaking new approach.  Learn how you can engage in this exciting work and turn measurement into a competitive advantage for your organization.


This webinar is for anyone in the social sector—funders and practitioners, nonprofit professionals and government officials—who wants to take control of measurement and use data to drive better outcomes.  Webinar registrants will have the opportunity to ask Saul and Gasser questions during the portion of the session, which will be moderated by Michael Slind, senior editor of the Stanford Social Innovation Review.


Click here to register and view the free recording

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