In collaboration with the LSU NSF Coupled Natural-Human System project (PI: Lam), colleagues from the East China Normal University have recently received a grant from China’s Ministry of Science and Technology (MOST) for a 3-year project, titled “A Comparative Study on Mega-Delta Erosion Hazard and Adaptation Measures in China and USA”. Award amount is $3.7 …
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Correll and Dr. Lam attend Institute on Teaching and Mentoring, Oct. 26-28 in D.C.
Rachel Correll, a recipient of the Southern Regional Education Board (SREB) Doctoral Scholars Fellowship, attended SREB’s 25th annual Institute on Teaching and Mentoring in Washington, DC, along with her graduate advisor Dr. Nina Lam. The conference is hosted by the SREB’s Doctoral Scholars Program, and brings together students and faculty from minorities underrepresented in higher …
Mihunov Awarded Travel Funds, Participates in AAAS Student E-poster Competition
Mihunov, Volodymyr, PhD candidate, Environmental Science, 2018. Received a travel award of $1,000 by the South-Central Climate Science Center to attend 2018 AAAS Meeting Austin TX, Feb. 2018. His participation in AAAS Student E-poster Competition included 3-minute lightning talk on community resilience to drought hazard in front of AAAS judges and poster session audience.
Dr. Lam Receives the NSF “RAPID” Grant to Study the Role of Social Media During Hurricane Harvey
Dr. Lam receives a new research grant from NSF. The grant, titled “RAPID: The changing roles of social media in disaster resilience: The case of Hurricane Harvey”, is an interdisciplinary project with co-PIs from CCT and other disciplines. Co-PIs are: Michelle Meyer (Sociology), Seung-Jong Park (CCT and Computer Science), Margaret Reams (Environmental Sciences), Seungwon Yang …
Dr. Lam’s Article in “The Conversation” Recieves Media Attention
Dr. Lam published an article titled “Americans who live far from coasts should also be worried about flooding” in The Conservation on August 28, 2017, right after Hurricane Harvey flooded Huston. The article, which is based on an academic article authored with postdoctoral research associate Dr. Yi Qiang and graduate students, generated media coverage such as by: …
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Zou Attends CESM Tutorial at University of Colorado, Boulder
PhD candidate Lei Zou has been selected to attend the 2017 CESM Tutorial held at University of Colorado in Boulder. CESM stands for the Community Earth System Model, it is a fully-coupled, community, global climate model that provides state-of-the-art computer simulations of the Earth’s past, present, and future climate states’. The project is sponsored by NSF and …
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Cai, Mihunov, and Zou Awarded Travel Funds, Present at the 2017 International Cartographic Conference
PhD candidates Heng Cai, Volodymyr Mihunov, and Lei Zou received a travel award of $1,000 each to present a paper at the International Cartographic Conference (ICC2017), held at Washington DC, July 2017.
Cai and Mihunov Awarded Travel Funds, Attend UCGIS Summer School and Symposium. Mihunov Wins in Poster Competition
PhD candidates Heng Cai and Volodymyr Mihunov were selected to receive a travel award of $2,000 each to attend the UCGIS Summer School on Collaborative Problem Solving with CyberGIS and Geospatial Data Science, held at University of Illinois at Urbana-Champaign and UCGIS Symposium held at Arlington, VA, May 2017. Mihunov received the People’s Choice award ($500) for …
Li Receives Honorable Research Awards at 2017 ABM Symposium
Dr. Kenan Li, one of the first two PhD graduates in Environmental Science (Fall 2015) and is currently postdoctoral research associate with the Keck School of Medicine at University of Southern California. His poster presentation in the Agent-Based Modeling Conference (ABM 2017) in San Diego, April 2017, has received both the PEA award and the ABM2017 …
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Cai Receives Jeanne X. Kasperson Award at 2017 AAG Annual Meeting
Cai, Heng, PhD candidate, received the AAG Hazards, Risk, and Disasters Specialty Group’s Jeanne X. Kasperson Award for her presentation at the AAG meeting, April 8, 2017. Paper title is: “Modeling the dynamics of resilience using a Bayesian network: the case in the Lower Mississippi River Basin”.