Community

Richard Harmon Member since: Friday, September 15, 2017

PhD - Economics, Georgetown Univ

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)

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

Geerten Hengeveld Member since: Thursday, January 24, 2019 Full Member

Wageningen University & Research
Currently researcher modelling at Biometris, Wageningen University & Research

modelling,
ecology, foraging, forestry, forest management, water management
scenario analysis
agent based modelling
individual based modelling
model quality, model evaluation, model governance

Geo Kocheril Member since: Tuesday, October 01, 2019

Research fellow, PhD Candidate (University of Kassel)

Energy system transiton modelling * stakeholder and market modelling, governance and policy modelling, * agent-based modelling (ABM), optimisation, * model coupling, open and integrative modelling framework, * open source, S4F

Javed Ali Member since: Monday, December 17, 2018 Full Member

Flood Risk Management, Coupled Human-Natural System Modelling, Socio-hydrological Modelling, Agent-Based Modelling, Human Behaviour Modelling, Agent-Based Social Simulation, Hydrological and Hydraulic Modeling, Geographic Information Systems (GIS), Mapping, Risk Modelling and Risk Visualization, Disaster Risk Reduction

Valentina Guleva Member since: Monday, November 14, 2016

Modeling and simulation of complex systems, particularly, interbank networks; economic models and critical phenomena modeling

Mauro Eidi Assano Member since: Monday, November 05, 2012

Msc Computer Science, MBA

Distributed computing modeling, multi-agent computing models, economic and financial models, healthcare chronic disease models

Paul Python ndekou tandong Member since: Sunday, March 24, 2019 Full Member

Mathematical modeling
agent-based modeling
coupling of agent-based models and mathematical models
machine learning algorithms
deep learning algorithms
Statistical inference
infectious diseases modeling

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