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DISUMMIT - Rishi Nalin Kumar from Datakind

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DISUMMIT - Rishi Nalin Kumar from Datakind

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Rishi Nalin Kumar
Chief Scientist at eBench

Half professional, half collaborator, one quarter mathematician. Currently at eBench helping brands understand their consumers and win with their content. Previously leading data science & analytics in large-corporate consumer goods with a light touch of news & media. Proud volunteer at DataKind and a regular on the data & analytics speaker circuit.

Rishi Nalin Kumar
Chief Scientist at eBench

Half professional, half collaborator, one quarter mathematician. Currently at eBench helping brands understand their consumers and win with their content. Previously leading data science & analytics in large-corporate consumer goods with a light touch of news & media. Proud volunteer at DataKind and a regular on the data & analytics speaker circuit.

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DISUMMIT - Rishi Nalin Kumar from Datakind

  1. 1. Rishi Nalin Kumar Chapter Lead, DataKind UK Data Innovation Summit March, 30 2017 #DIS2017 Data for Good @DataKind Lessons from the Frontline
  2. 2. The art and science of using proprietary data to solve high value commercial problems @rishi_nk @ € Data for business
  3. 3. Data for business People have a job to do data can help them do it  Faster  Better  With greater impact and  Less resource € @rishi_nk @
  4. 4. And it works! @rishi_nk @
  5. 5. … using those same techniques to tackle societal challenges with any relevant data to that problem Data for good @rishi_nk @
  6. 6. 3 years of learning by doing
  7. 7. 1. Celebrate all outcomes Before After
  8. 8. Use anonymized question data from citizens to systematically establish new emerging areas and categories of societal concern Set out to We ended up with Zero hour contracts What to expect when data for good’ing
  9. 9. Use open company ownership data to understand how complex company structures are being used to support corruption Set out to We ended up with What to expect when data for good’ing
  10. 10. Use anonymized hospital & child hospice data with open demographic data to discover up to 3,500 children who are in need of hospice care Set out to We ended up with What to expect when data for good’ing
  11. 11. How can we use data to have a real impact on peoples lives? Units of “good”
  12. 12. 2. Work with not for
  13. 13.  Seeking out and partnering with social actors  Target real world impact by focusing on joint interests  Bringing non-data people along with us Work with not for means
  14. 14. ≠+ Social actor partner Good projectGood cause 1. 3. Good cause ≠ good project
  15. 15. Small Data Big Data We need data about societal problems
  16. 16. http://earthobservatory.nasa.gov/IOTD/view.php?id=78948 We know we need to talk about it We don’t really know what to talk about We know the consequences are going to be severe If data is the new oil…. … privacy is the new climate change
  17. 17. Well-framed problem SELECT * FROM World WHERE company is corrupt or damages environment We need a well-framed real world problem Relevant Data
  18. 18. Complex enough to solve the problem Simple enough to be understood We need a marriage of minds
  19. 19. Social actor Partner Relevant Data Well-framed Problem Ideal data for good projects have … Simple (enough) Solution + + +
  20. 20. What’s next for us?
  21. 21. @datakind

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