Knight Foundation donations made to Textizen

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.

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

We do not have any donee information for the donee Textizen in our system.

Full donee page for donee Textizen

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 1 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000
Technology 1 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000 350,000

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
Technology (filter this donor) 1 0.00
Total 1 0.00

Skipping spending graph as there is at most one year’s worth of donations.

Full list of documents in reverse chronological order (0 documents)

There are no documents associated with this combination of donor and donee.

Full list of donations in reverse chronological order (1 donations)

Graph of all donations (with known year of donation), showing the timeframe of donations

Graph of donations and their timeframes
Amount (current USD)Amount rank (out of 1)Donation dateCause areaURLInfluencerNotes
350,000.001--Technologyhttps://knightfoundation.org/grants/5788-- Grant period: 01/01/2013 - 01/31/2015; part of the challenge: Knight News Challenge; goal: For a platform that helps governments design surveys and feedback campaigns powered by mobile phones and text messaging Textizen is building software to transform the citizen feedback loop. Across the country, a growing number of civic leaders are looking for new ways to connect with constituents. Neighborhood meetings are costly to run, and attendance isn’t always representative. By placing questions in physical places and inviting residents to respond from their mobile phones, Textizen creates new ways for meaningful civic participation. Started as a Code for America pilot project in Philadelphia, Textizen identified early best practices by experimenting with several types of campaigns. One, for example, asked for feedback on public transit changes by posing a text-to-vote question at a bus stop. Building on these pilots, the team will license the software to cities seeking to create new open, engaging channels for civic participation.