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This profile was last updated on 4/15/15  and contains information from public web pages and contributions from the ZoomInfo community.

Founder and Executive Director

DataKind
150 Court Street 2Nd Floor
Brooklyn , New York 11201
United States

Company Description: The Puzzle: NGOs and other mission-driven organizations are faced with an onslaught of decisions on how to best collect, analyze and visualize the data that will...   more
Background

Employment History

Board Memberships and Affiliations

Education

  • Ph.D. , Statistics
    UCLA
  • B.S. , Computer Science
    Columbia University
  • M.S. , Statistics
    UCLA
154 Total References
Web References
Jake Porway Founder ...
www.informaticaworld.com, 15 April 2015 [cached]
Jake Porway Founder of DataKind
People | The Data Guild
thedataguild.com, 3 April 2015 [cached]
Jake Porway
Jake 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. He holds a B.S. in Computer Science from Columbia University and his M.S. and Ph.D. in Statistics from UCLA and can be seen on National Geographic Channel as the host of the Numbers Game.
Jake ...
www.informaticaworld.com, 15 April 2015 [cached]
Jake Porway Informatica World 2015 - Speaker
...
Jake Porway Founder of DataKind
Jake Porway uses big data to tackle big social problems. As the founder of DataKind, he connectsâ€"and acts as an accessible bridge betweenâ€"data scientists and not-for-profit companies, which often don’t have the know-how or resources to benefit from data analysis. A former New York Times Data Scientist, Porway wants all of humanity to benefit from the gains of big data.
With DataKind, "We're connecting nonprofits, NGOs, and other data-rich social change organizations with data scientists willing to donate their time and knowledge to solve social, environmental, and community problems," Porway explains. Porway was named a 2012 National Geographic Emerging Explorer, and he currently hosts The Numbers Game on the National Geographic channel, in which he tackles one of life’s most daunting topics each episode (such as how to live longer, combating road rage, the best negotiation methods), and reveals the surprising science behind them.
Irrepressibly curious, Porway is both a scientist and a coder, equally excited to pioneer the next machine learning algorithm as his is to optimize the code to run it. He hopes to make machines smarterâ€"and he looks for new ways to help machines make sense of things, for the greater good.
Innovation Forum - EIT Foundation
eitfoundation.org, 19 Mar 2015 [cached]
Jake Porway - Using data in the service of humanity
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Jake Porway
Founder and executive director, DataKind
...
Jake Porway
...
Jake Porway
Founder and Executive Director DataKind
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, a 2012 National Geographic Emerging Explorer, and a 2012 Diplomatic Courier 99 under 33 in Foreign Policy awardee. He holds an adjunct professorship in NYU's ITP program where he teaches introductory data analysis and is a faculty at large in the School of Visual Art's Design for Social Innovation program. He holds a B.S. in Computer Science from Columbia University and his M.S. and Ph.D. in Statistics from UCLA.
Podcast: Jake Porway of DataKind | Datasift Blog
blog.datasift.com, 27 Feb 2015 [cached]
Podcast: Jake Porway of DataKind
DataSift Team 11th December 2012 1 Comment
Here at DataSift, we live and breathe all things social data. We are constantly amazed by the pioneers who are manipulating that data in extraordinary ways that promote innovations we never thought possible and get especially excited about those who use big data for the greater good of humanity.
That's why we enjoyed our interview with Jake Porway, Founder and Executive Director of DataKind, a non-profit organization that brings together data scientists and social organizations to correlate big data and provide solutions about global social issues. In today's podcast, Jake discusses DataKind's work with DC Action for Children on an interactive visualization tool to assess the health, security, and opportunity for children in each neighborhood of Washington D.C. Jake also discusses how data is revolutionizing the health and pro bono space, and his thoughts on the future of Big data and the greater good.
We hope you enjoy the conversation as much as we did!
[soundcloud url="http://api.soundcloud.com/tracks/70683496%3Fsecret_token%3Ds-5aKvD" params="" width=" 100%" height="166 iframe="true" /]
About Jake Porway Founder and Executive Director of DataKind, Jake Porway is a machine learning and technology enthusiast who loves nothing more than seeing good values in data. He founded DataKind in the hopes of creating a world in which every social organization has access to data capacity to better serve humanity. He was most recently the data scientist at the New York Times R&D. He holds a B.S. in Computer Science from Columbia University and his M.S. and Ph.D. in Statistics from UCLA. Learn more
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