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 Wellcome Sanger Institute in our system.
Full donee page for donee Wellcome Sanger Institute
| 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 | 3 | 155,000 | 159,832 | 125,000 | 125,000 | 125,000 | 125,000 | 155,000 | 155,000 | 155,000 | 199,497 | 199,497 | 199,497 | 199,497 |
| Science | 3 | 155,000 | 159,832 | 125,000 | 125,000 | 125,000 | 125,000 | 155,000 | 155,000 | 155,000 | 199,497 | 199,497 | 199,497 | 199,497 |
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 | 479,497.00 | 479,497.00 |
| Total | 3 | 479,497.00 | 479,497.00 |
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 3) | Donation date | Cause area | URL | Influencer | Notes |
|---|---|---|---|---|---|---|
| 199,497.00 | 1 | Science | https://chanzuckerberg.com/grants-ventures/grants/ | -- | Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the development of open tertiary analysis platform and visualisation portal by delivering a set of prototype workflows and a proof-of-concept data portal to serve as an example of best practices for future extension and development. (PI: Kerstin Meyer, Human Cell Atlas Computational Tools RFA). | |
| 155,000.00 | 2 | Science | https://chanzuckerberg.com/grants-ventures/grants/ | -- | Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the building of an analysis pipeline that adapts phylogenetic inference methods and gene expression models in order to infer hierarchical relationships as a "Tree of Cells" which is scalable to whole organs/systems or an entire organism. (PI: Martin Hemberg, Human Cell Atlas Computational Tools RFA). | |
| 125,000.00 | 3 | Science | https://chanzuckerberg.com/grants-ventures/grants/ | -- | Program: Human Cell Atlas. Grant period: 2018–2019. This grant supports the development of algorithms and software implementations that will allow for fast queries of large collections of scRNA-seq datasets (PI: Martin Hemberg, Human Cell Atlas Computational Tools RFA). |