From 2000BC to next week’s weather, we document & analyze how humans predict futures over time. Founded by @AlyssaAGoodman @Harvard ft. experts around the 🌎
Ever wonder where the @PredictionX logo came from? The image that inspired us is actually from the Madrid Codex, one of the few surviving books from the Maya Civilisation, dated back to c.900-1521 A.D. Priests used the codex to record divination rituals—including human sacrifice!
Political predictions aren’t usually included in the prediction project, but I could not resist this one from the New York Times. (Kamala will win)
https://t.co/8kYHnBV9VD
Look out for #GenEd1112 if you’re curious to see how our ideas about new content for our on-campus Harvard Prediction class. And here’s the first post! https://t.co/xOzSycmapH
This prescient 2018 talk by @benbendc on “Algorithmic Accountability: Designing for Safety” offers good strategies for dealing w our present #AI challenges @RadInstitute @harvard_data @PredictionX @Harvard https://t.co/DSbsbJQbUM
Plus--if you'd like an annotated, searchable of @AlyssaAGoodman@benbendc@Harvard undergrads' #ArtificialIntelligence discussion, check out the 2018 interview on @LabXchange here. Suitable for re-use in teaching, and for AI-curious interested learners. https://t.co/4APehy2B5H
Have a look at the prescient lecture on "algorithmic accountability" @benbendc gave for @harvard_data and @RadInstitute back in 2018--he saw the future and had (has!) good suggestions! We *can* use AI safely. Up to us, though. 2/2 https://t.co/tcdGCAMsx0
Put my knowledge of John Snow and the cholera epidemic acquired via @PredictionX to work yesterday while editing an article for @AttendSafe. Thanks, Professor @AlyssaAGoodman.
Scientists at @exxonmobil, as far back as the 1970s and 1980s, made really on-target predictions of global #climatechange. Read more from @PredictionX at https://t.co/34s4wJ8cLq, and in the original post from @grist, who posted the great video that sums it all up. #uncertainty
Impressive study showing a power to predict risk of endometrial cancer, using a lasso model on a very large data set, out now from @joy_shi1 and colleagues at @Harvard. I will feature this as an example in my @Harvard GenEd class on @PredictionX https://t.co/9LHGqjQPm6
I could not agree more with @AlbertoCairo that we need to help people understand (the visual representation of) #uncertainty! AND that “who” is the most important of the “10 Questions” @10qviz #dataviz4society cf. @PredictionX https://t.co/AWfmEbgln6
@AlyssaAGoodman The Babylonians had no interest in modelling how the Solar System was arranged in 3D…they made accurate observations & developed [mathematical models] to predict…timing of events …w/Hipparchus, this.. merged with the Greek geometric approach…& “modern astronomy really begins”