Posts Tagged ‘datascience’
systrom – Data, Machine Learning and Technology
May 3, 2020Data science in industry
September 25, 2018After @pmarca’s classic 2011 essay “Why Software is Eating the World,” Cohen & @MatthewGranade now posit that “Models Will Run the World” https://www.WSJ.com/articles/models-will-run-the-world-1534716720 Illustrates the transition from computer science to #DataScience HT @WillMeyerson
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The software revolution has transformed business. What’s next? Processes that constantly improve themselves without need of human intervention.
By Steven A. Cohen and Matthew W. Granade
Aug. 19, 2018 6:12 p.m. ET
Marc Andreessen’s essay “Why Software is Eating the World” appeared in this newspaper Aug. 20, 2011. Mr. Andreessen’s analysis was prescient. The companies he identified—Netflix, Amazon, Spotify—did eat their industries. Newer software companies—Didi, Airbnb, Stripe—are also at the table, digging in.
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A nice commentary on the role of data science in industry.
Data science in industry
September 5, 2018A nice commentary on the role of data science in industry.
University Science Strategy Committee Report
June 20, 2018Long-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
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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.
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IBM pitched Watson as a revolution in cancer care. It’s nowhere close
June 16, 2018QT:{{”
“In a response to STAT’s questions, Memorial Sloan Kettering said international journals are part of the literature it provides to Watson, including the Lancet, the European Journal of Cancer, Annals of Oncology, and the BMJ. “As we do in all areas of cancer research, we will continue to observe and study how Watson for Oncology impacts care internationally, follow the evidence, and work with IBM to optimize the system,” the hospital said.”
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University Science Strategy Committee Report
June 16, 2018Long-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)
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
New York City’s Bold, Flawed Attempt to Make Algorithms Accountable
January 20, 2018NYC’s Bold, Flawed Attempt to Make #Algorithms Accountable
https://www.NewYorker.com/tech/elements/new-york-citys-bold-flawed-attempt-to-make-algorithms-accountable QT: “#NYC should commit to demanding openness in all future contracts with vendors of these algorithmic services…It’s a dereliction of duty to allow vital decisions to be made by a black box.”
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“Frank Pasquale,… told me much the same. “While the terms of past contracts are hard to revisit, New York City should commit to demanding openness in all future contracts with venders of these algorithmic services,” he said. “They have the leverage here, not the firms. Secrecy may incentivize tiny gains in efficiency, but those are not worth the erosion of legitimacy and public confidence in government. It’s a dereliction of duty to allow vital decisions to be made by a black box.”
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Cathy O’Neil, the author of “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy,” told me. “What we’re finding is that the world of algorithms is one ugly wormhole.” In insulating algorithms and their creators from public scrutiny, rather than responding to civic concerns about bias and discrimination, the existing system “propagates the myth that those algorithms are objective and fair,” O’Neil said. “There’s no reason to believe either.””
Training Calendar | Research Data Support
September 16, 2017http://researchdata.yale.edu/training-calendarthe Research Data Support website has published a unified calendar for data and research skills training provided by the Library, Center for Research Computing, Medical Library, and Center for Teaching and Learning.
linkstream2 microblog 