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Data Science for Social Good: Empowering Non-Profits with Data Insights

Join DataKind on 14th February 2019 for a session on using data for social good. Learn about DataKind's free services for non-profits, including data therapy, data dives, and data projects with DataCorps. Explore how organizations can leverage data to understand needs, campaign effectively, evaluate services, and improve operational efficiency.

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Data Science for Social Good: Empowering Non-Profits with Data Insights

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  1. Data Science for Social Good Giselle Cory Tracey Gyateng Executive Director Data Science Manager London Funders Big Network 14th February 2019

  2. DataKind is a global network

  3. Data Science

  4. Data Science

  5. Data Science

  6. What we do (most of which is FREE! for non profits) Data Therapy ‘Office hours’- light touch analytical support to non profits- come with any data question! bit.ly/DKUKofficehrs Support to data scientists working in non profit organisations Ethics DataDives Working with non profits to provide insights into social problems: Two months of data scientists volunteering on data cleaning and defining questions, followed by two day analysis event DataCorps projects Six- nine month in depth projects embedded within a non profit organisation to develop data products

  7. Ideal data for good projects have … Well-framed Problem Simple (enough) Solution Social actor Partner Relevant Data

  8. Over to You: HOW CAN ORGANISATIONS MAKE USE OF DATA? WWW.MENTI.COM CODE 18 26 02

  9. How can we use data? • Understand need and demand • Effective campaigning • Understand the people we work with • Evaluate services • Improve operational efficiency

  10. How can we use data?Understanding Need Q. How many young people are at risk of homelessness? A. 136,000 (8x official government figures!)

  11. How can we use data?Understanding Demand Q. What predicts the volume of referrals of rough sleepers? A. Cold weather + twitter activity

  12. How can we use data?Campaigning Q. Can we shed light on anonymous/shell companies? A. One London postcode is home to over 30,000 registered companies

  13. How can we use data?Understanding Users Q. Who accesses our services and where?

  14. How can we use data?Evaluating Services Q. Did beneficiaries’ food security Food Consumption Score improve after receiving cash payments? • Yes!

  15. How can we use data?Operational efficiency Q. Can we predict who is likely to need extra support? • Yes

  16. How can we use data?Operational efficiency Developing a Predictive Model of Likely Future Demand • Small food bank in Huddersfield. Supported by Esmée Fairbairn • Developed a measure of dependency (score based) • Used existing client data: • 7,300 client records, 29,500 referral records • Tested various statistical models, settling on random forest • Trained model on past data to see how accurately it predicts historic cases • Not an automated process, humans decide who is and isn’t treated

  17. Operational efficiency Using Machine Learning to Support Triage Client is referred by phone Volunteer puts details in the system A food parcel is prepared Parcel is collected by client Model used to predict future usage High scores referred to Case worker

  18. Operational efficiency Using Machine Learning to Support Triage

  19. Operational efficiency Using Machine Learning to Support Triage Data Protection Act 2018 & Ethics • Client data is received from third party referral agencies, with informed client consent • Examined GDPR- Rights related to automated decision making including profiling • Reviewed privacy notices • Not a fully automated process

  20. Operational efficiency TWC Data Journey Esmée Fairbairn funded DataKindDataCorps project No (informal) systems Index card system clients and referrals Database System goes live DataKind + M&S DataDive Prediction Engine goes live Client Classification Model Internal KPI’s External performance reports TWC Founded October 1997 2014 2016 2011 2015 2017 2018 Demand packs/year 4,500 8,200 12,300 500

  21. Everyone is on a digital/data journey!

  22. Over to You: HOW DATA MATURE IS YOUR ORGANISATION? WWW.MENTI.COM CODE 18 26 02

  23. How data mature is your org? The Themes of Data Maturity Developed by: DataKind UK & Data Orchard: http://dataevolution.org.uk/the-framework/

  24. How data mature is your org? The Stages of Data Maturity

  25. Leadership Culture Skills Tools Data Uses Analysis

  26. Excited CEO Leadership Excited staff Culture Recruited 2 analytical staff Skills Data infrastructure Tools Data for decision making Data Data for decision making Uses Experimenting! Analysis

  27. Exercise: How Mature Are You? Use the data maturity framework to assess how mature you are! How mature are your friends? Talk to your neighbour! Bring it to the room. Do we have some more growing to do?

  28. Everyone is on a digital/data journey!

  29. WHERE TO START? Our Top Tips! 1/3 Be like Meerkats and align your priorities! • What data do you collect? • What do you use? • What could be useful a) to you b) to grantees e.g. understanding need, supply, gaps, what works.

  30. WHERE TO START? Our Top Tips! 2/3 Encourage data curiosity/ technical intuition • Support for organisations to recognize the opportunities for digital, data technology

  31. WHERE TO START? Our Top Tips! 3/3 Get with the DDT- Digital, Data & Technology • All organisations need a functional data infrastructure

  32. The Framework: http://dataevolution.org.uk/the-framework/ Office hours: bit.ly/DKUKofficehrs Giselle Cory Tracey Gyateng Executive Director Data Science ManagerGiselle@DataKind.org.ukTracey@DataKind.org.uk @datakinduk

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