Big Data

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  • At the Interdisciplinary Workshop on Information and Decision in Social Networks at MIT on November 8-9, Associate Professor Devavrat Shah and his student Stanislav Nikolov, will present a new algorithm that can, with 95 percent accuracy, predict which topics will trend an average of an hour and a half before Twitter’s algorithm puts them on the list — and sometimes as much as four or five hours before. Read more...
  • CSAIL researchers and members of the Clinical Decision Making Group including the group's director Peter Szolovits, professor of computer science and engineering and postdoctoral researcher Anna Rumshisky have developed a new system for disambiguating (distinguishing between several meanings) the senses of words used in doctors’ clinical notes. Read more...
  • The MIT Electrical Engineering and Computer Science Department held a reception, October 18, to celebrate the official launch of the new SuperUROP undergraduate research program. Members of the inaugural class of the SuperUROP program, sponsors (and donors), MIT administrators who contributed to its implementation, and EECS faculty mentors and guests, joined EECS Department Head Anantha Chandrakasan in the Stata Center R&D Dining area to celebrate. Read more and view photos of the event and the 6.UAR class held just before the reception.
  • Calling it a glimpse into the future, technology news website CRN has hailed MIT EECS/CSAIL faculty and the new Wireless@MIT center as the source for seven new technologies that will impact (favorably) our daily lives. Read more...
  • This fall, the faculty and students in the Electrical Engineering and Computer Science (EECS) Department at MIT are coming together for a new program that has created a buzz since its announcement last spring. The Advanced Undergraduate Research Program — now officially called the SuperUROP — for EECS department juniors and seniors has already enticed over 200 students with more than 100 exciting research projects proposed by the department's faculty. Read more!
  • Members of the MIT Database Group including Sam Madden, an associate professor in the Department of Electrical Engineering and Computer Science at MIT and co-leader of the 'bigdata@CSAIL' initiative, EECS graduate student Alvin Cheung, and researchers from Cornell University are presenting work this week at the 38th International Conference on Very Large Databases on Pyxis - a new system that automatically streamlines websites’ database access patterns, making the sites up to three times as fast while allowing the types of languages already favored by Web developers.
  • CSAIL/EECS researchers including EECS graduate students Adam Marcus and Eugene Wu and EECS professors Sam Madden, Rob Miller and David Karger, have developed a way for users of crowdsourcing database operations to avoid computational details in the process while cost effectiveness is significantly improved. The new system called Qurk will automatically crowdsource tasks that are difficult or impossible to perform computationally.

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