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Data scientists and technology companies are rapidly recognizing the immense power of data for drawing insights about their impact and operations, yet NGOs and non-profits are increasingly being left behind with mounting data and few resources to make use of it. Data Without Borders seeks to bridge this data divide by matching underserved NGOs with pro bono data scientists so that they can collect, manage, and analyze their data together in the service of humanity, creating a more open environment for socially conscious data and bringing greater change to the world.
Jake Porway is a machine learning and technology enthusiast who loves nothing more than seeing good values in data. He is the founder and executive director of DataKind, an organization that brings together leading data scientists with high impact social organizations to better collect, analyze, and visualize data in the service of humanity. Jake was most recently the data scientist in the New York Times R&D lab and remains an active member of the data science community, bringing his technical experience from his past work with groups like NASA, DARPA, Google, and Bell Labs to bear on the social sector. Jake’s work has been featured in leading academic journals and conferences (PAMI, ICCV), the Guardian, the Stanford Social Innovation Review, and he has been honored as a 2011 PopTech Social Innovation Fellow and a 2012 National Geographic Emerging Explorer. He holds a B.S. in Computer Science from Columbia University and his M.S. and Ph.D. in Statistics from UCLA.
Drew Conway is an expert in the application of computational methods to social and behavioral problems at large-scale. Drew has been writing and speaking about the role of data — and the discipline of data science — in industry, government, and academia for several years. Drew has advised and consulted companies across many industries; ranging from fledgling start-ups to Fortune 100 companies, as well as academic institutions and federal agencies. Drew is a co-founder of DataKind (non-profit connecting social organizations with data scientist), the author of Machine Learning for Hackers (O’Reilly Media, 2012), a co-chair of the DataGotham conference, and is currently serving as the Scientist-in-Residence at IA Ventures. Drew is also completing his doctoral work in the Department of Politics at New York University. Prior to graduate school, Drew worked in the U.S. Intelligence Community in Washington, DC. There, he was an all-sources analyst specializing in the mathematical modeling of social systems.
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