Engaging with DARPA, A Presentation by DSO Director Stefanie Thompkins – May 31

By | General Interest, News

Please join us for a presentation and overview of DARPA and the Defense Sciences Office by Dr. Stefanie Tompkins, Defense Sciences Office Director.

Date:  May 31, 2016
Time: 12:30 PM
Location: Room 1500 EECS, North Campus

DARPA’s mission is to make pivotal investments in breakthrough technologies for national security, thus catalyzing the development of capabilities that give the Nation new options for preventing and creating strategic surprise.

The Defense Sciences Office (DSO) is one of six technical offices at the agency.  DSO identifies and pursues high-risk, high-payoff fundamental research initiatives across a broad spectrum of science and engineering disciplines including materials science, computing and autonomy, engineering design and manufacturing, physics, chemistry, mathematics and social science.

This presentation will give an overview of DARPA, working with DARPA and the Defense Sciences Office, and description of some of the current activities DSO’s program managers are working on.

Workshops on Algorithms for Modern Massive Data Sets — June 21-24, Berkeley

By | General Interest, News

Registration for the 2016 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016) is now available.

In addition to four days of talks on algorithmic and statistical aspects of modern large-scale data analysis, MMDS 2016 will have a contributed poster session one evening.  The registration fee is waived for student poster presenters.  You may apply to present a poster at the event website.

Event: MMDS 2016: Workshop on Algorithms for Modern Massive Data Sets
Dates: June 21-24, 2016
Location: UC Berkeley, Berkeley, CA
Website: http://mmds-data.org
Contact: organizers@mmds-data.org
Synopsis: The 2016 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016) will address algorithmic, mathematical, and statistical challenges in modern statistical data analysis. The goals of MMDS 2016 are to explore novel techniques for modeling and analyzing massive, high-dimensional, and nonlinearly-structured scientific and internet data sets, and to bring together computer scientists, statisticians, mathematicians, and data analysis practitioners to promote cross-fertilization of ideas.
Organizers: Michael Mahoney (UC Berkeley), Alex Shkolnik (Stanford), and Petros Drineas (RPI)

Environmental Data Commons Workshop — June 9, Chicago

By | General Interest, News

The Center for Data Intensive Science at the University of Chicago is hosting a one day workshop in Chicago on June 9, 2016 on environmental data commons and data sharing.

There will be sessions on the environmental commons, services for environmental commons, environmental data commons applications, the NOAA Big Data Alliance, and interoperability of environmental commons, clouds, and repositories.

To register and for more information including workshop location, agenda, and options for lodging, please visit the event website.


Software Carpentry workshop at U-M — May 2-3

By | Educational, Events

A Software Carpentry workshop will be held at the U-M Medical School May 2 and 3. These workshops are free and open to anyone on campus; the sessions are suitable for researchers in the humanities and social sciences. Register here.

This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

Who: The course is aimed at graduate students, postdocs, and other researchers across the University of Michigan. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Furstenberg 2710 (2nd floor of Med Sci II).