Community

Onur Özgün Member since: Monday, September 09, 2013

PhD in Industrial Engineering, MS in Industrial Engineering, BS in Industrial Engineering

Simulation games, systemic complexity, learning, business cycles, and discrete-event simulation, modeling sustainability challenges in urban context.

Jeon-Young Kang Member since: Wednesday, April 24, 2019 Full Member

Postdoctoral Research Associate at the CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois at Urbana-Champaign

  • Validation
  • Sensitivity Analysis
  • Calibration
  • Infectious disease (dengue virus, influenza, diarrheal-causing disease)

Eo SeungWon Member since: Thursday, August 03, 2017 Full Member Reviewer

B.A. Urban Studies, UC Berkeley., MSc. Geographic Information Science, Seoul National University.

GIS enthusiast and ABM practitioner

Urban Mobility
Machine Learning
Social Network Analysis
Crime Simulation

berengere Member since: Wednesday, October 17, 2012

PhD Geography

The aim of this project is to complement the approach developed by UMR-Geographie-Cité (“SimPop” Models), using an approach based on the organization and deployment of multinational corporation networks in urban system. We will simulate the interactions between networks of multinational corporation and the urban system.

John Janmaat Member since: Thursday, April 17, 2014

Ph.D. in Economics, MBA in Finance, M.Sc. in Agricultural Economics, B.Sc. in Agricultural Economics

Water resource economics, natural resource economics, environmental economics, ecological economic modeling, ecological economics, environmental policy, development economics.

Sudhira Hs Member since: Tuesday, January 13, 2009 Full Member Reviewer

PhD, Master of Science

Sudhira’s research has been primarily on urban land-use and land cover change studies exploring their consequences on environmental sustainability and understanding their inter-relationship with transportation. His broader research addresses the evolution and growth of towns and cities invoking complexity sciences, understanding planning practices and studying the effect of varied governance structures.

Ismail Haltas Member since: Monday, November 07, 2016

PhD

Hideyuki Nagai Member since: Sunday, May 22, 2016 Full Member Reviewer

Architectural and Urban Design
Social Simulation

Nina Schwarz Member since: Friday, July 25, 2014 Full Member

Dr.

Derek Robinson Member since: Wednesday, November 05, 2014 Full Member Reviewer

The goal of my research program is to improve our understanding about highly integrated natural and human processes. Within the context of Land-System Science, I seek to understand how natural and human systems interact through feedback mechanisms and affect land management choices among humans and ecosystem (e.g., carbon storage) and biophysical processes (e.g., erosion) in natural systems. One component of this program involves finding novel methods for data collection (e.g., unmanned aerial vehicles) that can be used to calibrate and validate models of natural systems at the resolution of decision makers. Another component of this program involves the design and construction of agent-based models to formalize our understanding of human decisions and their interaction with their environment in computer code. The most exciting, and remaining part, is coupling these two components together so that we may not only quantify the impact of representing their coupling, but more importantly to assess the impacts of changing climate, technology, and policy on human well-being, patterns of land use and land management, and ecological and biophysical aspects of our environment.

To achieve this overarching goal, my students and I conduct fieldwork that involves the use of state-of-the-art unmanned aerial vehicles (UAVs) in combination with ground-based light detection and ranging (LiDAR) equipment, RTK global positioning system (GPS) receivers, weather and soil sensors, and a host of different types of manual measurements. We bring these data together to make methodological advancements and benchmark novel equipment to justify its use in the calibration and validation of models of natural and human processes. By conducting fieldwork at high spatial resolutions (e.g., parcel level) we are able to couple our representation of natural system processes at the scale at which human actors make decisions and improve our understanding about how they react to changes and affect our environment.

land use; land management; agricultural systems; ecosystem function; carbon; remote sensing; field measurements; unmanned aerial vehicle; human decision-making; erosion, hydrological, and agent-based modelling

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