Big Data in Transportation and Mobility symposium highlights diverse, emerging issues

By | Events, General Interest, News

MBDH-transThe Big Data in Transportation and Mobility symposium held June 22-23, 2017, in Ann Arbor, MI brought together more than 150 data science practitioners from academia, industry and government to explore emerging issues in this expanding field.

Sponsored by the NSF-supported Midwest Big Data Hub (MBDH) and the Michigan Institute for Data Science (MIDAS), the symposium featured lightning talks from transportation research programs around the Midwest; tutorials and breakout sessions on specific issues and methods; a poster session; and a keynote address from two representatives of the Smart Columbus project: Chris Stewart, Ohio State University Associate Professor of Computer Science and Engineering, and Shoreh Elhami, GIS Manager for the city of Columbus.

Speakers and attendees came from a number of organizations from across the midwest including the University of Michigan, University of Illinois, University of Nebraska, University of North Dakota, North Dakota State University, Ohio State University, Purdue University, Denso International America, Fiat Chrysler, Ford Motor Company, General Motors, IAV Automotive Engineering and Yottabyte.  

“This was an extremely valuable opportunity to share information and ideas,” said Carol Flannagan, one of the organizers of the symposium and a researcher at MIDAS and the U-M Transportation Research Institute. “Cross-discipline and cross-institutional collaboration is crucial to the success of Big Data applications, and we took a significant step forward in that vein during this symposium.”

Topics addressed in talks, breakouts, and tutorials included:

  • New Analytic Tools for Designing and Managing Transportation Systems
  • New Mobility Options for Small and Mid-sized Cities in the Midwest
  • Automated and Connected Vehicles
  • Transforming Transportation Operations using High Performance Computing
  • On-Demand Transit
  • Using Big Data for Monitoring Bridges

At the closing session, participants outlined some areas that could be fruitful to focus on going forward, including increasing data-science literacy in the general public; diversity and workforce development in data science; public data-sharing platforms and partners; and privacy issues.

For a complete list of speakers and topics, please see the agenda. Videos of selected talks will be posted at midas.umich.edu in the coming days.

Midwest Big Data Hub Transportation and Mobility Conference, Ann Arbor, MI

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The Midwest Big Data Hub

Conference

 

 

 

 

“Big Data for Transportation and Mobility”

 

Please Register

Details are on the main conference webpage.

 

The NSF supported Midwest Big Data Hub has made data for transportation a priority.  Its goal is to bring together experts in the increasingly powerful tools of Big Data (including visualization, machine learning, statistical models, integration of heterogeneous data, data scrubbing, privacy and security) with domain experts.  The Midwest has been a center of innovation in transportation for generations and data-related research has become a major focus of interest for corporate, academic, and governmental organizations.  This conference includes a series of presentations providing an overview of research underway in the Midwest hat will help us understand the scope of this work, encourage cross-fertilization, and possibly nucleate future collaborations.

One of the highlights of the meeting will be a series of talks by faculty from the schools that are the core of the Midwest Big Data Hub.  Additional activities include tours of research sites on the Ann Arbor Campus, short tutorials and breakout sessions on pertinent topics. 

Students are especially welcome and a poster session, part of the conference reception on June 22, will provide an opportunity for them to share their research. There is some limited travel and hosting funding available for students; restrictions apply and requests for travel/ hosting support should be submitted while registering. 

The Midwest Big Data Hub is supported by the National Science Foundation through award #1550320. 

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MBDH Big Data Seminar Series: Iowa State University, Federal Statistical Research Data Centers: How to Get Involved

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Midwest Big Data Hub

The Iowa State University Big Data Seminar Series

‘Federal Statistical Research Data Centers:

Opportunities and How to Get Involved’

Presenters:

Lily Wang, Associate Professor of Statistics

Florence Honore, Assistant Professor of Management

 Zhengyuan Zhu, Associate Professor of Statistics

 

Federal Statistical Research Data Centers (FSRDCs) are special research facilities where qualified researchers conduct approved statistical analysis on non-public data collected by U.S. Census Bureau and other agencies in the federal statistical system. This presentation will give an introduction of FSRDCs and the exciting opportunities that it can bring to ISU researchers – faculty, research staff, and graduate students.

Register for the event here.