Phil 10.28.16

7:00 – 5:00 ASRC

  • Listening to BBC Business Daily this morning on trusting algorithms.
    • This site: Computational Legal Studies. Seems very relevant for all kinds of reasons. Does Aaron Massey know about them?
      • Daniel Martin Katz: “Research Interests include legal futurism, legal informatics,  law & entrepreneurship, quantitative modeling of litigation and jurisprudence, quantitative finance, computational legal studies, big data and the law, economics of the legal profession, positive legal theory, technology aided access to justice, legal complexity and the overall impact of information technology, analytics and automation on the future of the legal profession.”
      • Jon Zelner “My research is focused on using spatial and social network analysis to prevent infectious diseases, with a focus on tuberculosis and diarrheal disease, and to understand social and epidemiological systems characterized by complex spatiotemporal dynamics. 
    • Cathy O’Neil, author of Weapons of Math Destruction. MathBabe.
  • Interview with Judea Pearl on Bayesian computation: “We are losing the transparency now with deep learning. I am talking to users who say “it works well” but they don’t know why. Once you unleash it, it has its own dynamics, it does its own repair and its own optimization, and it gives you the right results most of the time. But when it doesn’t, you don’t have a clue as to what went wrong and what should be fixed.”
  • Working on survey questions. Reading Internet, Mail, and Mixed Mode Surveys, chapter 6,
  • Need to add a section on ‘Transparent’ Cognitive Computing.
  • Took a look at Theresa’s slides. Need to call out some ML/AI word salad
  • Working on adding a key. Slow UI. Done, I think…
  • Add credit card to semrush
  • Meeting with Shimei. We started talking about recommender systems, but wound up talking about neural word/sentence/paragraph/topic embedding. Trained against something like the Wikipedia and its outbound links, this might be a good way of having a knowledge coordinate frame that velocity and position can be determined.