2017 Poster Competition

UCGIS thanks all of the students who presented their research during our 2017 Symposium! 

CyberGIS MultiCriteria Decision Making 

Winner, Best Reflection of Summer School Theme: 

A CyberGIS Multi-Criteria Assessment Framework

Dinuke Munasinghe, University of Alabama; Josphat Mutunga, University of Redlands; Patricia Carbajales-Dale, Clemson University; Shaun Fontanella, Ohio State University

 Social Media and Diffusion Poster

Winner, Best Reflection of Symposium Theme:

Social Media and Diffusion: Understanding the impact of geography on the diffusion of information via social media

Jayakrishnan Ajayakumar, Kent State University; Christopher Franklin, University of Texas at Dallas; T. Y. Lee, University of Illinois, Urbana-Champaign; Bryan Runck, University of Minnesota; Pranab Roy Chowdhury, University of Tennessee

 Food, Water, & Energy Nexus: The impact of climate change on agricultural productivity

Winner, People's Choice Award: 

Food, Water, & Energy Nexus: The impact of climate change on agricultural productivity

Chunyuan Diao, University at Buffalo; Jessica Hedgepeth Balkin,University of Colorado, Boulder; Vova Migunov,  Louisiana State University; Yiqun Xie, University of Minnesota

 

A Bayesian Network Approach to Support Decision Making in Building Disaster Resilience

Heng Cai, Louisiana State University; Nina Lam, Louisiana State University; Lei Zou, Louisiana State University; Yi Qiang, University of Hawaii at Manoa

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A Framework for Facilitating Data Discovery: Leveraging Web Mapping and Geosemantics

Dylan Perkins, University of Wyoming


An Interactive Spatial Decision Support Tool for Emergency Management: Vulnerability Analysis of Flooding in Travis County, Texas

An Interactive Spatial Decision Support Tool for Emergency Management: Vulnerability Analysis of Flooding in Travis County, Texas

Heng Cai, Louisiana State University; Shakil Kashem, University of Illinois Champaign-Urbana; Dylan Perkins, University of Wyoming; Ruopu Li, Southern Illinois University – Carbondale.

 
 Discovering Qualitative Trajectory Relations from Unstructured Data

Discovering Qualitative Trajectory Relations from Unstructured Data

Jeon-Young Kang, University at Buffalo; Chengxi Zhu, University at Buffalo; Thomas Bittner, University at Buffalo.

 Exploring Traffic Patterns Using Twitter Data: A Case Study in Chicago Exploring Traffic Patterns Using Twitter Data: A Case Study in Chicago  

 

Ziqi Liu, University of Illinois, Urbana-Champaign; Chunzhu Wei, University of Salzburg; Weixing Zhang, University of Connecticut; Tianqi Zou, Cornell University; Zhenlong Li, University of South Carolina

 High-resolution Flood Inundation Mapping Using National Water Model Forecasts for Emergency Management

High-resolution Flood Inundation Mapping Using National Water Model Forecasts for Emergency Management 

Irene Garousi-Nejad, Utah State University; Xiao Li, Texas A&M University; Anna Petrasova, North Carolina State University; Haowen Xu, University of Iowa.

 Integrating Spatiotemoporal Data

Integrating Spatiotemporal Data Analysis and Stochastic Programming for Supply Chain Optimization

Hao Hu, University of Illinois at Urbana-Champaign; Tao Lin, Zhejiang University, China; Shaowen Wang, University of Illinois at Urbana-Champaign

 LiDAR Uncertainty and Classification on ROGER

LiDAR Uncertainty and Classification on ROGER

Jim Coll, University of Kansas; Lee Hathcock, Mississippi State University; Jason Matney, North Carolina State University; Vaclav Petras, North Carolina State University; Yi Qi, Brown University.

Mining Temporal Associations in Location-Centric Networks for Influenza

Mining Temporal Associations in Location-Centric Networks for Influenza

Shiran Zhong, The State University of New York at Buffalo and Ling Bian, The State University of New York at Buffalo

 Optimal Hydrogen Station Location for Central Connecticut by Using Trip-Based Modeling at the Regional Scale

Optimal Hydrogen Station Location for Central Connecticut by Using Trip-Based Modeling at the Regional Scale

Qunshan Zhao, Arizona State University; Michael J. Kuby, Arizona State University; Fan Xiao, National Marine Environmental Forecasting Center, China

 Smart and Connected Cities: Mining GPS Data for Actionable Transportation Insights

Smart and Connected Cities: Mining GPS Data for Actionable Transportation Insights

Nick Robison, University of Washington, Nicole Helgeson, University of Minnesota; Mehdi Heris, University of Colorado; Maya Scott, University of Illinois.

Workload-Award Distributed Spatiotemporal Data Analysis

Kiumars Soltani, University of Illinois - Urbana-Champaign; Shaowen Wang, University of Illinois at Urbana-Champaign

  


 The 2017 Program Committee welcomes and encourages students to share their scholarship during our Symposium. A formal poster session will take place on Tuesday May 23rd during our opening evening reception, and the posters will remain on display throughout the remainder of the Symposium. 

Theme and Awards: The theme of our Symposium is CyberGIS and Diverse Partnerships for Geospatial Workforce Development.  Posters may describe any GIScience-related research that has been recently completed or is underway. Symposium participants will be asked to vote on the posters whose topic is the strongest representation of the theme in action. Up to 3 eligible students will be selected to receive a $500 scholarship award.

Student Eligibility: All students are eligible to present their poster and share their research at our Symposium, but only students currently enrolled in a UCGIS member institution are eligible to be considered for an award. 

Design specifics: Posters should be no more than 32" by 40" in size (may read vertically or horizontally). Addition instructions on how the posters will be displayed is forthcoming.