Knight Foundation donations made to DataKind

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 March 2022. 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 donor information

ItemValue
Country United States
Wikipedia pagehttps://en.wikipedia.org/wiki/John_S._and_James_L._Knight_Foundation
Facebook username knightfdn
Websitehttps://knightfoundation.org/
Donations URLhttps://knightfoundation.org/grants
Twitter usernameknightfdn
Page on philosophy informing donationshttps://knightfoundation.org/about
Grant application process pagehttps://knightfoundation.org/apply/
Data entry method on Donations List WebsiteSQL insertion commands generated by script https://github.com/riceissa/knight-foundation

This entity is also a donee.

Full donor page for donor Knight Foundation

Basic donee information

ItemValue
Country

Full donee page for donee DataKind

Donor–donee relationship

Item Value

Donor–donee donation statistics

Cause areaCountMedianMeanMinimum10th percentile 20th percentile 30th percentile 40th percentile 50th percentile 60th percentile 70th percentile 80th percentile 90th percentile Maximum
Overall 2 250,000 675,000 250,000 250,000 250,000 250,000 250,000 250,000 1,100,000 1,100,000 1,100,000 1,100,000 1,100,000
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 cause area and year

If you hover over a cell for a given cause area and year, you will get a tooltip with the number of donees and the number of donations.

Note: Cause area classification used here may not match that used by donor for all cases.

Cause area Number of donations Total
Communities (filter this donor) 1 1,100,000.00
Technology, Journalism (filter this donor) 1 250,000.00
Total 2 1,350,000.00

Skipping spending graph as there is fewer than one year’s worth of donations.

Full list of donations in reverse chronological order (2 donations)

Graph of all donations, showing the timeframe of donations

Graph of donations and their timeframes
Amount (current USD)Amount rank (out of 2)Donation dateCause areaURLInfluencerNotes
1,100,000.001--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.
250,000.002--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.