Alexei Andreev donations made

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.

Table of contents

Basic donor information

We do not have any donor information for the donor Alexei Andreev in our system.

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 Number of donees Total 2015
AI risk (filter this donor) 1 1 64,605.00 64,605.00
Total 1 1 64,605.00 64,605.00

Graph of spending by cause area and year (incremental, not cumulative)

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Graph of spending by cause area and year (cumulative)

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Donation amounts by donee and year

Donee Cause area Metadata Total 2015
Machine Intelligence Research Institute AI risk FB Tw WP Site CN GS TW 64,605.00 64,605.00
Total -- -- 64,605.00 64,605.00

Graph of spending by donee and year (incremental, not cumulative)

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Graph of spending by donee and year (cumulative)

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Full list of donations in reverse chronological order (1 donations)

DoneeAmount (current USD)Donation dateCause areaURLInfluencerNotes
Machine Intelligence Research Institute64,605.002015AI riskhttps://intelligence.org/topdonors/-- Major donor to MIRI in 2015.

Similarity to other donors

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
Michael Blume 1 1 1 1.0000 1 1
John Salvatier 1 1 1 1.0000 1 1
Jaan Tallinn 1 1 1 1.0000 1 1
Scott Worley 1 1 1 1.0000 1 1
Max Kesin 1 1 1 1.0000 1 1
Ben Hoskin 1 1 1 1.0000 1 1
Nicolas Tarleton 1 1 1 1.0000 1 1
Mikko Rauhala 1 1 1 1.0000 1 1
Simon Safar 1 1 1 1.0000 1 1
Scott Dickey 1 1 1 1.0000 1 1
Johan Edström 1 1 1 1.0000 1 1
Luke Stebbing 1 1 1 1.0000 1 1
Emma Borhanian 1 1 1 1.0000 1 1
Richard Schwall 1 1 1 1.0000 1 1
Robin Powell 1 1 1 1.0000 1 1
Marcello Herreshoff 1 1 1 1.0000 1 1
William Morgan 1 1 1 1.0000 1 1
Loren Merritt 1 1 1 1.0000 1 1
Scott Siskind 1 1 1 1.0000 1 1
Sebastian Hagen 1 1 1 1.0000 1 1
Mick Porter 1 1 1 1.0000 1 1
Gordon Irlam 1 1 1 1.0000 1 1
Joshua Fox 1 1 1 1.0000 1 1
Ethan Dickinson 1 1 1 1.0000 1 1
Kevin Fischer 1 1 1 1.0000 1 1
Michael Cohen 1 1 1 1.0000 1 1
Jean-Philippe Sugarbroad 1 1 1 1.0000 1 1
Jonathan Weissman 1 1 1 1.0000 1 1
Janos Kramar 1 1 1 1.0000 1 1
Misha Gurevich 1 1 1 1.0000 1 1