DataKind donations received

This is an online portal with information on donations that were announced publicly (or have been shared with permission) that were of interest to Vipul Naik. The git repository with the code for this portal, as well as all the underlying data, is available on GitHub. All payment amounts are in current United States dollars (USD). The repository of donations is being seeded with an initial collation by Issa Rice as well as continued contributions from him (see his commits and the contract work page listing all financially compensated contributions to the site) but all responsibility for errors and inaccuracies belongs to Vipul Naik. Current data is preliminary and has not been completely vetted and normalized; if sharing a link to this site or any page on this site, please include the caveat that the data is preliminary (if you want to share without including caveats, please check with Vipul Naik). We expect to have completed the first round of development by the end of December 2019. See the about page for more details. Also of interest: pageview data on analytics.vipulnaik.com, tutorial in README, request for feedback to EA Forum.

Table of contents

Basic donee information

ItemValue
Country

Donee donation statistics

Cause areaCountMedianMeanMinimum10th percentile 20th percentile 30th percentile 40th percentile 50th percentile 60th percentile 70th percentile 80th percentile 90th percentile Maximum
Overall 5 200,000 338,529 42,644 42,644 42,644 100,000 100,000 200,000 200,000 250,000 250,000 1,100,000 1,100,000
Criminal justice reform 1 42,644 42,644 42,644 42,644 42,644 42,644 42,644 42,644 42,644 42,644 42,644 42,644 42,644
Initiatives 1 100,000 100,000 100,000 100,000 100,000 100,000 100,000 100,000 100,000 100,000 100,000 100,000 100,000
New Initiatives 1 200,000 200,000 200,000 200,000 200,000 200,000 200,000 200,000 200,000 200,000 200,000 200,000 200,000
Technology, Journalism 1 250,000 250,000 250,000 250,000 250,000 250,000 250,000 250,000 250,000 250,000 250,000 250,000 250,000
Communities 1 1,100,000 1,100,000 1,100,000 1,100,000 1,100,000 1,100,000 1,100,000 1,100,000 1,100,000 1,100,000 1,100,000 1,100,000 1,100,000

Donation amounts by donor and year for donee DataKind

Donor Total 2016 2014
Knight Foundation (filter this donee) 1,350,000.00 0.00 0.00
Laura and John Arnold Foundation (filter this donee) 242,644.00 0.00 242,644.00
Sloan Foundation (filter this donee) 100,000.00 100,000.00 0.00
Total 1,692,644.00 100,000.00 242,644.00

Full list of donations in reverse chronological order (5 donations)

DonorAmount (current USD)Amount rank (out of 5)Donation dateCause areaURLInfluencerNotes
Sloan Foundation100,000.0022016Initiatives/New York City Initiativeshttps://sloan.org/grant-detail/7126-- Grant investigator: Julia Rhodes Davis; to pilot continued sustainability models for novel machine learning and analytical solutions to reduce pedestrian deaths in New York City and other US cities.
Laura and John Arnold Foundation200,000.0032014New Initiativeshttp://www.arnoldfoundation.org/grants/-- Grant period: 2014 - 2016. Affected countries: United States.
Laura and John Arnold Foundation42,644.0012014Criminal justice reformhttp://www.arnoldfoundation.org/grants/-- Grant period: 2014 - 2015. Affected countries: United States.
Knight Foundation250,000.004--Technology, Journalismhttps://knightfoundation.org/grants/5915-- Grant period: 05/01/2013 - 04/30/2014; goal: To support better use of data by nonprofit organizations, through three activities: 1) DataCorps consulting for nonprofits; 2) DataDive hackathon events, 3) setting up local DataKind chapters. DataKind connects leading volunteer data scientists with social organizations to effect positive action using data science. Using a combination of “DataDives” and “DataCorps,” the organization promotes a collaborative approach to problem-solving. Through DataDives, weekend events that bring the data science community together with nonprofits, the groups tackle tough social issues. Similarly, DataCorps projects call on specialized teams of data scientists to work on more in-depth projects for organizations including governments, foundations or non-government organizations (NGOs) These involve three- to six-month collaborations to clean, analyze, visualize and apply data to address more pervasive challenges. Earmark: Datakind.
Knight Foundation1,100,000.005--Communitieshttps://knightfoundation.org/grants/6446-- Grant period: 10/01/2014 - 09/30/2017; goal: To scale existing DataKind programs advancing data-driven practice in the social sector while piloting new strategies for generating review to grow and sustain the organization's work. Earmark: Scale DataKind programs.