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 July 2024. 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.
Item | Value |
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Country | United States |
Wikipedia page | https://en.wikipedia.org/wiki/John_S._and_James_L._Knight_Foundation |
Facebook username | knightfdn |
Website | https://knightfoundation.org/ |
Donations URL | https://knightfoundation.org/grants |
Twitter username | knightfdn |
Page on philosophy informing donations | https://knightfoundation.org/about |
Grant application process page | https://knightfoundation.org/apply/ |
Data entry method on Donations List Website | SQL insertion commands generated by script https://github.com/riceissa/knight-foundation |
Full donor page for donor Knight Foundation
Item | Value |
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Country |
Full donee page for donee DataKind
Item | Value |
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Cause area | Count | Median | Mean | Minimum | 10th 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 |
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 | 0.00 |
Technology, Journalism (filter this donor) | 1 | 0.00 |
Total | 2 | 0.00 |
Skipping spending graph as there is at most one year’s worth of donations.
There are no documents associated with this combination of donor and donee.
Graph of all donations (with known year of donation), showing the timeframe of donations
Amount (current USD) | Amount rank (out of 2) | Donation date | Cause area | URL | Influencer | Notes |
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1,100,000.00 | 1 | -- | Communities | https://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. |
250,000.00 | 2 | -- | Technology, Journalism | https://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. |