Chan Zuckerberg Initiative donations made to University of California, San Francisco

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

We do not have any donee information for the donee University of California, San Francisco in our system.

Full donee page for donee University of California, San Francisco

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 7 575,000 1,043,430 179,317 179,317 249,691 250,000 250,000 575,000 1,050,000 1,050,000 2,500,000 2,500,000 2,500,000
Science 7 575,000 1,043,430 179,317 179,317 249,691 250,000 250,000 575,000 1,050,000 1,050,000 2,500,000 2,500,000 2,500,000

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 2018
Science (filter this donor) 7 7,304,008.00 7,304,008.00
Total 7 7,304,008.00 7,304,008.00

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

Full list of donations in reverse chronological order (7 donations)

Graph of all donations, showing the timeframe of donations

Graph of donations and their timeframes
Amount (current USD)Amount rank (out of 7)Donation dateCause areaURLInfluencerNotes
575,000.0042018Sciencehttps://chanzuckerberg.com/grants-ventures/grants/-- Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the development of methods for permanently recording cell state changes in DNA in a compact manner that can be read out in single cell format using droplet-based single cell RNA-seq. (PI: Jonathan Weissman).
179,317.0072018Sciencehttps://chanzuckerberg.com/grants-ventures/grants/-- Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the development and incorporation of machine learning algorithms for segmentation of cellular organelles into the soft x-ray tomography pipeline and generate images of segmented cells for the Human Cell Atlas. (PI: Carolyn Larabell, Human Cell Atlas Computational Tools RFA).
250,000.0052018Sciencehttps://chanzuckerberg.com/grants-ventures/grants/-- Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the use multiplexed single cell RNA-sequencing to construct a provisional version of the Human Immune Census across three ethnicities and to develop a new suite of computational tools to analyze the resulting data. (PI: Jimmie Ye, Human Cell Atlas Computational Tools RFA).
249,691.0062018Sciencehttps://chanzuckerberg.com/grants-ventures/grants/-- Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the building and contribution to a set of tools to address the analysis of single cell RNAseq data using the popular Cytoscape network analysis ecosystem. (PI: John Morris, Human Cell Atlas Computational Tools RFA).
2,500,000.0012018Sciencehttps://chanzuckerberg.com/grants-ventures/grants/-- Program: Neurodegeneration Challenge Network. Grant period: 2018–2023. This grant supports using machine learning and systems pharmacology methods to characterize novel bioactive small molecules able to control cellular processes underlying proteinopathies. (PI: Michael Keiser, Early Career Award).
2,500,000.0012018Sciencehttps://chanzuckerberg.com/grants-ventures/grants/-- Program: Neurodegeneration Challenge Network. Grant period: 2018–2023. This grant supports leveraging a CRISPR-based functional genomics platform in human iPSC-derived neurons and glia to elucidate cellular mechanisms of neurodegenerative diseases. (PI: Martin Kampmann, Early Career Award).
1,050,000.0032018Sciencehttps://chanzuckerberg.com/grants-ventures/grants/-- Program: Neurodegeneration Challenge Network. Grant period: 2018–2021. This grant supports bridging the pathophysiological knowledge gap between human genetic risk pathways and neuropathological findings through deep, systematic phenotyping of a set of human fibroblast, induced neuron, and post-mortem tissue resources all derived from the same individual patients. (PI: William Seeley, Collaborative Science Award).