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 |
|---|---|
| Country | United States |
| Wikipedia page | https://en.wikipedia.org/wiki/Chan_Zuckerberg_Initiative |
| Facebook username | chanzuckerberginitiative |
| Website | https://www.chanzuckerberg.com/ |
| Page on philosophy informing donations | https://www.chanzuckerberg.com/about |
| Data entry method on Donations List Website | Manual (no scripts used) |
Full donor page for donor Chan Zuckerberg Initiative
We do not have any donee information for the donee Regents of the University of Michigan (University of Michigan) in our system.
Full donee page for donee Regents of the University of Michigan (University of Michigan)
| Item | Value |
|---|
| 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 | 5 | 171,000 | 160,013 | 75,321 | 75,321 | 75,321 | 100,523 | 100,523 | 171,000 | 171,000 | 205,788 | 205,788 | 247,431 | 247,431 |
| Science | 5 | 171,000 | 160,013 | 75,321 | 75,321 | 75,321 | 100,523 | 100,523 | 171,000 | 171,000 | 205,788 | 205,788 | 247,431 | 247,431 |
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) | 5 | 800,063.00 | 800,063.00 |
| Total | 5 | 800,063.00 | 800,063.00 |
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 5) | Donation date | Cause area | URL | Influencer | Notes |
|---|---|---|---|---|---|---|
| 205,788.00 | 2 | Science | https://chanzuckerberg.com/grants-ventures/grants/ | -- | Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the development of statistical methods and computational tools for integrating single cell RNA sequencing data with genome-wide association studies. (PI: Xiang Zhou, Human Cell Atlas Computational Tools RFA). | |
| 171,000.00 | 3 | Science | https://chanzuckerberg.com/grants-ventures/grants/ | -- | Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the development of algorithms based on manifold alignment for integrating different types of single cell measurements. (PI: Joshua Welch, Human Cell Atlas Computational Tools RFA). | |
| 75,321.00 | 5 | Science | https://chanzuckerberg.com/grants-ventures/grants/ | -- | Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the development of a principled suite of software on two methods for marker selection and one on data imputation or matrix completion in scRNA-seq data. (PI: Anna Gilbert, Human Cell Atlas Computational Tools RFA). | |
| 100,523.00 | 4 | Science | https://chanzuckerberg.com/grants-ventures/grants/ | -- | Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the analysis of single-cell RNA sequence data by using matrix factorization methods to jointly analyze such data along with bulk RNA data. (PI: Clayton Scott, Human Cell Atlas Computational Tools RFA). | |
| 247,431.00 | 1 | Science | https://chanzuckerberg.com/grants-ventures/grants/ | -- | Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the development of computational methods to enable cost-effective multiplexing of single-cell RNA-seq experiment to population scale by harnessing cell-specific expression in addition to genetic variation. (PI: Hyun Min Kang, Human Cell Atlas Computational Tools RFA). |