Upcoming Events

IDIES Annual Symposium 2018

  • Where: TBD
  • When: October 19, 2018, 08:00

The Institute for Data Intensive Engineering and Science will hold our 2018 Annual Symposium at Johns Hopkins University on Friday, October 19, 2018. This event will bring together experts in Big Data from all divisions of Johns Hopkins University, the government and industry to share their discoveries, practical ideas, and insights. The focus is on … Continued

Past Events

3D Visualization Hackathon

  • Where: IDIES
  • When: June 09, 2018, 09:00
  • IDIES 3D Hackathon

Overview The Institute for Data Intensive Engineering and Sciences will host a full-day 3D Visualization Hackathon on Saturday June 9, 2018. Like all hackathons, this event will be participant-driven. We left plenty of space on the Registration Form for you to tell us what visualization problems you want to tackle. We’ll tailor the schedule and … Continued

Personalizing treatments using microbiome and clinical data

  • Where: Wednesday, April 25, 12pm, Mudd 100
  • When: April 25, 2018 to April 25, 2018, 12:00
  • Eran Segal

Abstract Accumulating evidence supports a causal role for the human gut microbiome in obesity, diabetes, metabolic disorders, cardiovascular disease, and numerous other conditions. I will present our research on the role of the human microbiome in health and disease, aimed at developing personalized medicine approaches that combine human genetics, microbiome, and nutrition. In one project, … Continued

Genetic Instrumental Variable (GIV) regression: Explaining socioeconomic and health outcomes in non-experimental data

  • Where: Arellano Theater, Levering Hall
  • When: March 28, 2018, 16:00
  • Thomas A. DiPrete, Columbia University
  • An IDIES Bi-Monthly Seminar

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

Data Assimilation and Feedback Control Algorithm for Dissipative Evolution Models Employing Coarse Mesh Observables

  • Where: Shaffer 304
  • When: March 14, 2018, 15:00
  • Edriss Titi

Abstract: One of the main characteristics of infinite-dimensional dissipative evolution equations, such as the Navier-Stokes equations and reaction-diffusion systems, is that their long-time dynamics is determined by finitely many parameters — finite number of determining modes, nodes, volume elements and other determining interpolants. In this talk I will show how to explore this finite-dimensional feature … Continued

“From Baltimore to the Stars with Data” by Tamas Budavari

  • Where: Arellano Theater, Levering Hall
  • When: March 07, 2018, 16:00
  • Tamas Budavari
  • An IDIES Bi-Monthly Seminar

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

Real Time in the Room: Frequency, Amplitude, and Time Analysis with the “Precision Measuring Matrix” by Paul Reed Smith

  • Where: Arellano Theater, Levering Hall
  • When: February 14, 2018, 16:00
  • Paul Reed Smith
  • An IDIES Bi-Monthly Seminar

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

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales

  • Where: Hackerman Hall B-17
  • When: December 05, 2017, 10:30
  • Ian Foster

Abstract A growing disparity between supercomputer computation speeds and I/O rates makes it increasingly infeasible for applications to save all results for offline analysis. Instead, applications must analyze and reduce data online so as to output only those results needed to answer target scientific question(s). This change in focus complicates application and experiment design and … Continued