Beginning Spring Semester 2017 IDIES will hold a bi-monthly (every 2 months) seminar series. Typically we will hold two such seminars every academic semester. The talks will take place in the Mason Hall Auditorium (but occasionally in other rooms as available), typically on Thursdays 4pm-5pm, followed by a small informal reception.
For the Fall 2017 semester, if you have a suggestion for a distinguished speaker to visit and make a presentation on the broad topics of interest to IDIES, please contact Charles Meneveau at your earliest convenience.
Biography: Thomas A. DiPrete is Giddings Professor of Sociology, co-director of the Institute for Social and Economic Research and Policy (ISERP), co-director of the Center for the Study of Wealth and Inequality at Columbia University, and a faculty member of the Columbia Population Research Center. DiPrete holds a B.S. degree from the Massachusetts Institute of … Continued
Biography: Tamás Budavári’s primary interest is in cosmology, large-scale structure, and galaxy evolution. He has been focusing on various statistical and computational challenges in astronomy as modern detector technology is rapidly changing the way science is done. Large projects he has worked on, including the Sloan Digital Sky Survey, pioneered much of the new methodology. … Continued
Click here to view a recording of the event. Abstract: I will review the history of the Precision Measuring Matrix including my father’s involvement, real time demonstrations, discussion of FFT measurement anomalies, the discovered language of EEG harmonic brainwaves, watching the harmonics of an acoustic guitar in real time and newly discovered domains made possible … Continued
Please join us at 4:00 pm on Wednesday, Oct 4, 2017 for “Heavy Hitters on Data Streams and Recent Variants” by Dr. S Muthukrishnan, Distinguished Professor of Computer Science and ACM Fellow at Rutgers University. The talk will take place on Wednesday, October 4th, 2017, from 4:00 pm to 5:00 pm in Hodson Hall, Room … Continued
Abstract: Data science has emerged as a distinct discipline that has also become a power enabler of science and engineering. In its deep interactions with other disciplines it is an example of the scientific convergence, which is one of the Ten Big Ideas for Future NSF Investments. The rapid growth of data science raises deep … Continued
When: February 23, 2017 to February 23, 2017, 16:00
An IDIES Bi-Monthly Seminar
Abstract: We discuss a geometry-based statistical learning framework for performing model reduction and modeling of stochastic high-dimensional dynamical systems. We consider two complementary settings. In the first one, we are given long trajectories of a system, e.g. from molecular dynamics, and we discuss new techniques for estimating, in a robust fashion, an effective number of … Continued