Community

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

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)

Jordi Sabater-Mir Member since: Tuesday, November 07, 2017

PhD in Artificial Intelligence

My research is focused on autonomous agents and multiagent systems. Specifically: Trust and reputation models, cognitive architectures, cognitive models and social simulation.

Jessica Turnley Member since: Monday, July 13, 2015 Full Member Reviewer

B.A. Anthropology/English Lit, Univ of California, Santa Cruz, 1974, M.A. Social Anthropology, Univ of Michigan, Ann Arbor, 1977, M.A. Cultural Anthropology, Cornell University, 1978, Ph.D. Anthropology/SE Asian Studies, Cornell University, 1983

I am interested in questions of method, and in the application of computational social models to a wide variety of national security questions (such as counterterrorism and counterinsurgency) as well as decision-making around complex natural resources such as water. My methods interest center on the use of qualitative social theory to inform the structure of computational social models, and the ways in which such models handle qualitative data. This raises questions around the nature of data and the ways in which computational social models convey information to decision-makers.

Volker Grimm Member since: Wednesday, July 18, 2007 Full Member Reviewer

Volker Grimm currently works at the Department of Ecological Modelling, Helmholtz-Zentrum für Umweltforschung. Volker does research in ecology and biodiversity research.

How to model it: Ecological models, in particular simulation models, often seem to be formulated ad hoc and only poorly analysed. I am therefore interested in strategies and methods for making ecological modelling more coherent and efficient. The ultimate aim is to develop preditive models that provide mechanstic understanding of ecological systems and that are transparent and structurally realistic enough to support environmental decision making.

Pattern-oriented modelling: This is a general strategy of using multiple patterns observed in real systems as multiple criteria for chosing model structure, selecting among alternative submodels, and inversely determining entire sets of unknown model parameters.

Individual-based and agent-based modelling: For many, if not most, ecological questions individual-level aspects can be decisive for explaining system-level behavior. IBM/ABMs allow to represent individual heterogeneity, local interactions, and/or adaptive behaviour

Ecological theory and concepts: I am particularly interested in exploring stability properties like resilience and persistence.

Modelling for ecological applications: Pattern-oriented modelling allows to develop structurally realistic models, which can be used to support decision making and the management of biodiversity and natural resources. Currently, I am involved in the EU project CREAM, where a suite of population models is developed for pesticide risk assessment.

Standards for model communication and formulation: In 2006, we published a general protocol for describing individual- and agent-based models, called the ODD protocol (Overview, Design concepts, details). ODD turned out to be more useful (and needed) than we expected.

Paul Van Liedekerke Member since: Thursday, May 31, 2018

Interested in numerical models and new conceptual ideas, applications from industry to medicine.

I focus on numerical modeling of mechanics of solid materials and cell mechanics. The models that I developed so far address granular matters, bio-fluids, cellular tissues, and individual cells.

I further develop Agent-based Models, which are methods to predict collective behavior from individual dynamics controlled by rules or differential equations. Examples: tumor growth, swarms, crowd movement.

The methods I used are Particle-based methods which offer great flexibility within physical modeling, and can operate in a large range of scales, from atomistic scales (e.g. Molecular Dynamics) to continuum approaches (e.g. Smoothed Particle Hydrodynamics).

GIS Certification Member since: Tuesday, February 16, 2021 Full Member

The University of Southern California’s accelerated, online GIS graduate programs are unique in higher education. Designed and taught by world-renowned faculty, a USC GIS education offers a multidisciplinary framework for understanding and applying spatial information to modern business, government, military and organizational challenges. We offer two master’s programs, which can be completed in 20 months and four online GIS certificates that can be completed in as little as eight months.
Both master’s programs as well as the masters in GIS certificates and geospatial intelligence offer options for individuals of all backgrounds, from career changers to industry veterans. The geospatial leadership graduate certificate is specifically designed for experienced GIS professionals who are interested in managerial positions. If you have questions about any of our graduate GIS programs, contact an enrollment advisor.

Guido Fioretti Member since: Tuesday, April 24, 2012 Full Member Reviewer

PhD

Guido Fioretti, born 1964, graduated in Electronic Engineering in 1991 at La Sapienza University, Rome. In 1995, he received a PhD in Economics from this same university. Guido Fioretti is currently a lecturer of Organization Science at the University of Bologna.

I am interested in combining social with cognitive sciences in order to model decision-making facing uncertainty. I am particularly interested in connectionist models of individual and organizational decision-making.

I may make use of agent-based models, statistical network analysis, neural networks, evidence theory, cognitive maps as well as qualitative research, with no preference for any particular method. I dislike theoretical equilibrium models and empirical research based on testing obvious hypotheses.

Rosemary Pepys Member since: Thursday, November 14, 2019

PhD, University College London, MSc, University College London, BA (Hons), Oxford University

I obtained my undergraduate degree in Mathematics at Worcester College, Oxford University. I then worked for 9 years for the UK government before returning to university to study for a MSc and PhD at UCL. On leaving UCL I started working in the insurance industry, where I develop models of cyber catastrophe events.

Key research interests are how to build models of complex human behaviour.
My PhD research project was focussed on building a model of the process by which people develop the propensity to commit acts of crime or terrorism, from which came a computer simulation of the radicalisation process.
My current research interest is on creating models of cyber threats.

Randall Boone Member since: Thursday, November 21, 2013

M.S., Ph.D.

My experience is diverse, with research in spatial analyses and GIS, ecosystem modeling, landscape ecology, database management, biogeographical relationships of birds and plants, species/habitat relationships, wildlife and pastoral livestock mobility, spectroscopy, cluster analysis, and telemetry techniques. Research projects are ongoing in Colorado, the contiguous US, Kenya, Mali, and Tibet.

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.