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Bridging Big Data 2017 Workshop (BBD 2017)

UNO & UNL Team

Wednesday, October 4, 2017 from 8:00 AM to 5:00 PM (CDT)

Bridging Big Data 2017 Workshop (BBD 2017)

Registration Information

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Workshop Ticket
There is no cost for Registration. This workshop is sponsored by NSF.
Ended Free  

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Event Details

The Bridging Big Data 2017 workshop (BBD 2017) will bring together bridge dataset owners, big data solution providers and leading academics.

This workshop will identify opportunities with big data technologies for bridge structural health while addressing the challenges of data discovery and controlled sharing.

Let's lead the way to transition bridge structural health data into pipelines that enable data science.

We have have a great agenda shaping up. Check it out here: https://bridgingbigdata.github.io/pages/bbd2017.html

Workshop Focus Areas related to Bridge Structural Health:

  • Data Management
    • Data security and quality; Intellectual Property; Standards and Shared Best Practices; Curation
  • Decision Support Systems
    • Analysis and Modeling; Data Analytics; Decision Making; Visualization
  • Social-Technological Impact
    • Policy, societal, economic and environmental impact; disaster and crisis management
  • Next-Gen Health Monitoring
    • Unmanned Aerial Vehicle/System (UAV/UAS); Sensors; Wireless Networks

Sponsor

NSF

NSF Award Number:1636805
Project Title: BD Spokes: PLANNING: MIDWEST: Big Data Innovations for Bridge Health 

Motivation

Bridges across the U.S. continue to deteriorate at an alarming rate and the American Society of Civil Engineers estimate a cost of over $76 billion to improve the country’s functionally obsolete or structurally deficient bridges. This indicates a significant demand for innovative bridge health monitoring solutions that can strategically guide management, maintenance and replacement programs without risking public safety. Unfortunately, the need to improve how our bridges are managed and repaired or replaced faces similar issues and demands as the rest of the U.S. transportation network: continuously shrinking resources and governing bodies who do not have the necessary insights from bridge health data to find a workable solution.

Call to Action

To discuss how to address critical problems related to bridge health, researchers, practitioners, and individuals representing public and private sectors (transportation infrastructure and built environment owners, operators, designers and maintainers) convened with Big Data technology and analytics experts at the inaugural BRIDGE-ing Big Data Workshop hosted by the University of Nebraska in October 2015. During this workshop, it became clear that Big Data technology could assist with providing a timely solution. It also was apparent that past efforts focusing on utilizing bridge health monitoring and big data techniques as part of the management and maintenance/replacement processes are fragmented, and resulting datasets are not deemed trustworthy and are under-utilized.

Vision and Goals

1. Catalog datasets including sources, copyrights, license, collection procedures, and expected access controls from private sector, academia, and government agencies

2. Obtain commitments from stakeholders and host collaboration workshops with small working groups to discuss, import/export, and share bridge structural health monitoring data

3. Solicit proposals from businesses/researchers to develop innovative applications that integrate disparate and voluminous data sources.

It is anticipated that this project’s findings will benefit the Midwest Big Data Hub transportation spoke and potentially inform similar activities for highways, buildings, power distribution networks and other civil infrastructure entities. Findings from this project will be promoted to national and international technical organizations, to directly impact workforce development, education and research programs. Combined, this project will make a direct impact on our country’s ability to efficiently maintain the health and safety of its bridges.

Workshop Organizers

 

University of Nebraska at Omaha
Robin A. Gandhi
Deepak Khazanchi
Brian Ricks

University of Nebraska, Lincoln

Daniel Linzell
Chungwook Sim

Project Website

https://bridgingbigdata.github.io

Have questions about Bridging Big Data 2017 Workshop (BBD 2017)? Contact UNO & UNL Team

When & Where


Kiewit Training Center (Omaha Downtown)
1450 Mike Fahey St.
Omaha, NE 68102

Wednesday, October 4, 2017 from 8:00 AM to 5:00 PM (CDT)


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Organizer

UNO & UNL Team

This event is developed and planned by a collaborative group from the University of Nebraska at Omaha’s College of Information Science and Technology and the University of Nebraska-Lincoln’s College of Engineering. Support is provided by the National Science Foundation (NSF) under the Big Data Regional Innovation Hubs: Establishing Spokes to Advance Big Data Applications (BD Spokes) Program.

https://bridgingbigdata.github.io

  Contact the Organizer
Bridging Big Data 2017 Workshop (BBD 2017)
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