Chan Zuckerberg Initiative donations made to Princeton University

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/Chan_Zuckerberg_Initiative
Facebook username chanzuckerberginitiative
Websitehttps://www.chanzuckerberg.com/
Page on philosophy informing donationshttps://www.chanzuckerberg.com/about
Data entry method on Donations List WebsiteManual (no scripts used)

Full donor page for donor Chan Zuckerberg Initiative

Basic donee information

ItemValue
Country
Facebook page princetonu
Websitehttp://www.princeton.edu
Twitter usernameprinceton
Wikipedia pagehttps://en.wikipedia.org/wiki/Princeton_University
Instagram usernameprinceton_university
Org Watch pagehttps://orgwatch.issarice.com/?organization=Princeton+University

Full donee page for donee Princeton University

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 3 165,000 183,269 165,000 165,000 165,000 165,000 165,000 165,000 165,000 219,807 219,807 219,807 219,807
Science 3 165,000 183,269 165,000 165,000 165,000 165,000 165,000 165,000 165,000 219,807 219,807 219,807 219,807

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 2018
Science (filter this donor) 3 549,807.00 549,807.00
Total 3 549,807.00 549,807.00

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

Full list of donations in reverse chronological order (3 donations)

Graph of all donations, showing the timeframe of donations

Graph of donations and their timeframes
Amount (current USD)Amount rank (out of 3)Donation dateCause areaURLInfluencerNotes
219,807.0012018Sciencehttps://chanzuckerberg.com/grants-ventures/grants/-- Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the development of a human-in-the-loop system for analysis of Human Cell Atlas data, combining statistically rigorous network algorithms with an interactive web platform for visualization, exploration, and annotation of molecular data. (PI: Benjamin Raphael, Human Cell Atlas Computational Tools RFA).
165,000.0022018Sciencehttps://chanzuckerberg.com/grants-ventures/grants/-- Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the development of a generative model of single cell RNA-seq data that allows normalization, imputation, and batch correction for the purpose of identifying QTLs across many individuals. (PI:Barbara Engelhardt, Human Cell Atlas Computational Tools RFA).
165,000.0022018Sciencehttps://chanzuckerberg.com/grants-ventures/grants/-- Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the identification, correlation, and labeling of features that describe where and when a gene is expressed in single cell imaging data without manual supervision. (PI: Barbara Engelhardt, Human Cell Atlas Computational Tools RFA).