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 (see his commits) but all responsibility for errors and inaccuracies belongs to Vipul Naik. Current data is preliminary and has not been completely vetted and normalized; please do not share this data without consulting with Vipul Naik. We expect to have completed the first round of development by the end of December 2018.
We do not have any donor information for the donor Edwin Evans in our system.
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||Number of donees||Total||2015|
|AI risk (filter this donor)||1||1||409,530.00||409,530.00|
Graph of spending by cause area and year (incremental, not cumulative)
Graph of spending by cause area and year (cumulative)
|Machine Intelligence Research Institute||AI risk||FB Tw WP Site CN GS TW||409,530.00||409,530.00|
Graph of spending by donee and year (incremental, not cumulative)
Graph of spending by donee and year (cumulative)
Sorry, we couldn't find any influencer information.
Sorry, we couldn't find any disclosures information.
Sorry, we couldn't find any country information.
|Donee||Amount (current USD)||Donation date||Cause area||URL||Influencer||Notes|
|Machine Intelligence Research Institute||409,530.00||AI risk||https://intelligence.org/topdonors/||--||3rd highest individual donor to MIRI in 2015.|
The following table uses the Jaccard index and cosine similarity to compare the similarity of donors. We are showing the top 30 donors by the Jaccard index because we show up to 30 donors and show only donors with at least one donee in common.
|Donor||Number of distinct donees||Number of donees in common (intersection)||Union size||Jaccard similarity||Cosine similarity||Weighted cosine similarity|