Harvard recently held its annual symposium on the future of computation in science and engineering in Jan 2015, focusing on “Privacy in a Networked World.” Several members of our MIT Big Data Privacy working group attended and in this post we summarize a few of the highlights.
Last week, Kelly, Guy, and I attended HackMIT – one of the most prestigious hackathons in the world – as sponsor judges for the Big Data Initiative at MIT CSAIL. There, we listened to speeches, mentored students, and (importantly) encouraged students to hack on our newly released wifi data. Oh.
As part of the MIT CSAIL bigdata lecture series, Dr. Calvin Andrus who works in Office of the Chief Information Officer at the Central Intelligence Agency, gave a talk on the challenges associated with deploying enterprise-scale analytic engines on top of cloud-based bigdata holdings in a classified environment.
Erik Brynjolfsson, the Director of the MIT Center for Digital Business, the Schussel Family Professor at the MIT Sloan School, and a Research Associate at the National Bureau of Economic Research was the last speaker in the Big Data Lecture Series - Fall 2012.
As part of the Big Data Lecture Series — Fall 2012, Ion Stoica, a Professor at the EECS Department at University of California, Berkeley gave a talk on BDAS (Berkeley Data Analytics Stack). BDAS is an open-source data analytics stack for complex computations on massive data which supports efficient, large-scale in-memory data processing, and allows users and applications to trade between query accuracy, time, and cost.
Alyosha Efros, an associate professor at the Robotics Institute and the Computer Science Department at Carnegie Mellon University gave a talk in the Big Data Lecture Series -- Fall 2012 at MIT CSAIL. In his talk he discussed how data-driven techniques can make use of big visual data to tackle computer vision problems which are very hard to model parametrically.
Murli Buluswar, Chief Science Officer for AIG-Property & Casualty gave a talk in the Big Data Lecture Series -- Fall 2012 at MIT CSAIL. In this talk he shared details on how the newly created Science Office in AIG is starting to shape empirical based decision making in a broad suite of areas including underwriting, claims, marketing, sales, and even human resources. His entire talk revolved around the theme of applying data science to influence business decisions.