3 ms·

Elias Bareinboim [1] mentions "we are beta-testing a tool called ‘Fusion’, which offers an easy-to-use way of doing causal inference from 1st principles" [2]. T

Elias Bareinboim [1] mentions "we are beta-testing a tool called ‘Fusion’, which offers an easy-to-use way of doing causal inference from 1st principles" [2]. Tantalizing, but I've not yet seen anything else about 'Fusion'. [1] https://causalai.net/ https://causalai.net/ [2] https://twitter.com/eliasbareinboim/status/1191609450462883841 https://twitter.com/eliasbareinboim/status/11916094504628838...

keithyjohnson 7y ago
Looks like you can request to beta test it here - https://docs.google.com/forms/d/1wOal6PSRxXcMmmzXXHygDC5_rGRmwLccpOjQdDCuPUM/viewform?edit_requested=true&fbzx=-2995845904465858627 https://docs.google.com/forms/d/1wOal6PSRxXcMmmzXXHygDC5_rGR...
troelsSteegin 7y ago
A tool from Bareinboim is mentioned in a Technology Review article [1] on causal reasoning in AI. Per the article Pearl considers Bareinboim to be a protege. quoting: "One of his systems, which is still in beta, can help scientists determine whether they have sufficient data to answer a causal question. Richard McElreath, an anthropologist at the Max Planck Institute for Evolutionary Anthropology, is using the software to guide research into why humans go through menopause (we are the only apes that do). The hypothesis is that the decline of fertility in older women benefited early human societies because women who put more effort into caring for grandchildren ultimately had more descendants. But what evidence might exist today to support the claim that children do better with grandparents around? Anthropologists can’t just compare the educational or medical outcomes of children who have lived with grandparents and those who haven’t. There are what statisticians call confounding factors: grandmothers might be likelier to live with grandchildren who need the most help. Bareinboim’s software can help McElreath discern which studies about kids who grew up with their grandparents are least riddled with confounding factors and could be valuable in answering his causal query. “It’s a huge step forward,” McElreath says." ... looks "marginal" if you ask me. But I can't think of a better beta-tester than McElreath for this. [1] https://www.technologyreview.com/2020/02/19/868178/what-ai-still-cant-do/ https://www.technologyreview.com/2020/02/19/868178/what-ai-s...

keithyjohnson 7y ago

Looks like you can request to beta test it here - https://docs.google.com/forms/d/1wOal6PSRxXcMmmzXXHygDC5_rGRmwLccpOjQdDCuPUM/viewform?edit_requested=true&fbzx=-2995845904465858627 https://docs.google.com/forms/d/1wOal6PSRxXcMmmzXXHygDC5_rGR...

troelsSteegin 7y ago

A tool from Bareinboim is mentioned in a Technology Review article [1] on causal reasoning in AI. Per the article Pearl considers Bareinboim to be a protege. quoting: "One of his systems, which is still in beta, can help scientists determine whether they have sufficient data to answer a causal question. Richard McElreath, an anthropologist at the Max Planck Institute for Evolutionary Anthropology, is using the software to guide research into why humans go through menopause (we are the only apes that do). The hypothesis is that the decline of fertility in older women benefited early human societies because women who put more effort into caring for grandchildren ultimately had more descendants. But what evidence might exist today to support the claim that children do better with grandparents around? Anthropologists can’t just compare the educational or medical outcomes of children who have lived with grandparents and those who haven’t. There are what statisticians call confounding factors: grandmothers might be likelier to live with grandchildren who need the most help. Bareinboim’s software can help McElreath discern which studies about kids who grew up with their grandparents are least riddled with confounding factors and could be valuable in answering his causal query. “It’s a huge step forward,” McElreath says." ... looks "marginal" if you ask me. But I can't think of a better beta-tester than McElreath for this. [1] https://www.technologyreview.com/2020/02/19/868178/what-ai-still-cant-do/ https://www.technologyreview.com/2020/02/19/868178/what-ai-s...