linkstream2 microblog

https://thispersondoesnotexist.com/

In the kingdom of cyborgs
Big data is reshaping humanity, says Yuval Noah Harari
Uneven and easy to mock, his new book contains provocative and profound ideas

Aug 30th 2018

https://www.economist.com/books-and-arts/2018/08/30/big-data-is-reshaping-humanity-says-yuval-noah-harari

Long-awaited @Yale STEM report calls for new research institutes
https://YaleDailyNews.com/blog/2018/06/14/long-awaited-stem-report-calls-for-new-research-institutes Top recommendation is a new #DataScience institute! Followed by one for #Neuroscience. Cross-cutting recommendations on grad. student support & sci. cores (https://research.Yale.edu/ussc-report)

Blog post itself has some interesting “text evolution”:
http://meetings.gersteinlab.org/2018/06.20/Text-evolution-of-USSC-news-article

Points from the new University Science Strategy Committee Report :

Under Five Ideas for Top-Priority Investment: (University-wide Institute for) Integrative Data Science and its Mathematical Foundations and Neuroscience, from Molecules to Mind

Under Five Additional Priority Ideas: Computer Science, Conquering Cancer, Precision Medicine, Regenerative Medicine

QT:{{”
Mark Gerstein — a professor of biomedical informatics— similarly emphasized the value of a new data science institute that would integrate Yale’s science campuses and discourage research “silos.” …
Another concern is establishing the specific role of the institute amid the various departments and programs at Yale that perform data science research, Gerstein said. For example, he said, Yale’s new Center for Biomedical Data Science, which Gerstein co-directs, might eventually be folded into the proposed institute.
“}}

a link to details on IvyPlus exchange program:
https://gsas.yale.edu/academics/exchanges/exchange-scholar-program-ivyplus-exchange

turns out Imperial College London is the institution that left U of London. UCL is still part of U of London
indeed: https://www.theguardian.com/education/2005/dec/09/highereducation.administration

Zhou, J. and Troyanskaya, O.G. (2015). Predicting effects of noncoding variants with deep learning–based sequence model. Nature Methods, 12, 931–934.

Predicting (& prioritizing) effects of noncoding variants w. [DeepSEA] #DeepLearning…model
https://www.Nature.com/nmeth/journal/v12/n10/full/nmeth.3547.html Trained w #ENCODE data

podfather candidate, quit after Cook became COO, HM grad.

http://en.wikipedia.org/wiki/Jon_Rubinstein