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Tika Adhikari Member since: Fri, Jan 20, 2012 at 08:30 PM Full Member Reviewer

Ph D, Student

Development of spatial agent-based models to sustainability science and ecosystem service assessment, integration of agent-based model with biophysical process based model, improvement of theory of GIScience and land use change science, development of spatial analytical approach (all varieties of spatial regression), spatial data modeling including data mining, linking processes such as climate change, market, and policy to study patterns.

Xiaotian Wang Member since: Fri, Mar 28, 2014 at 02:23 AM

PHD of Engineering in Modeling and Simulation, Proficiency in Agent-based Modeling

Social network analysis has an especially long tradition in the social science. In recent years, a dramatically increased visibility of SNA, however, is owed to statistical physicists. Among many, Barabasi-Albert model (BA model) has attracted particular attention because of its mathematical properties (i.e., obeying power-law distribution) and its appearance in a diverse range of social phenomena. BA model assumes that nodes with more links (i.e., “popular nodes”) are more likely to be connected when new nodes entered a system. However, significant deviations from BA model have been reported in many social networks. Although numerous variants of BA model are developed, they still share the key assumption that nodes with more links were more likely to be connected. I think this line of research is problematic since it assumes all nodes possess the same preference and overlooks the potential impacts of agent heterogeneity on network formation. When joining a real social network, people are not only driven by instrumental calculation of connecting with the popular, but also motivated by intrinsic affection of joining the like. The impact of this mixed preferential attachment is particularly consequential on formation of social networks. I propose an integrative agent-based model of heterogeneous attachment encompassing both instrumental calculation and intrinsic similarity. Particularly, it emphasizes the way in which agent heterogeneity affects social network formation. This integrative approach can strongly advance our understanding about the formation of various networks.

Vittorio Nespeca Member since: Mon, Mar 08, 2021 at 10:24 PM Full Member

  • Crisis resilience
  • Crisis & disaster response
  • Information management
  • Collective Intelligence
  • Rigorous development of empirically-embedded ABMs, SDMs, and multi-models
  • Model-based policy support
  • Participatory multi-modeling

Harsha Krishna Member since: Tue, Jul 10, 2018 at 12:11 PM Full Member

M.Tech

I develop simulation tools for generating what-if scenarios for decision making. I predominantly use Agent-Based Modelling (ABM) technique as most of my simulations model complex systems. In some cases, I have extended existing tools with modifications to model the given system. Although the tools are meant for research purposes, I have followed industry friendly delivery mechanisms, such as unit-tests, automated builds and delivery on cloud platforms.

  • Agent-Based Modelling
  • Complex Social Systems
  • Gaming-Simulations
  • Health care logistics

Stefan Scholz Member since: Thu, Feb 20, 2014 at 07:13 PM

MSc Public Health

My main research field is health economic modeling with the main focus on sexually transmitted diseases. We are trying to build a agent-based model using the FLAME-framework (www.flame.ac.uk).

Roy Sanderson Member since: Mon, Jan 07, 2013 at 01:47 PM

BSc (Hons) Applied Biology Class 1, PhD

Ecological modeller; behaviour of pollinating insects (especially bumblebees) in GIS landscapes. Hope to apply ABM methods to model some of the field data we have collected

Dino Mujadzevic Member since: Wed, Apr 23, 2014 at 12:37 PM

Ph.d., A. v. Humboldt postdoctoral researcher

Discourse and networks executing and supporting Turkish foreign policy under AK Party (since 2002) on example of Bosnia and Herzegovina; Spreading of ideas of contemporary “Turkish economic model” abroad

Mark Ciotola Member since: Sat, Nov 22, 2014 at 09:18 PM

BA in Economics, University of Wisconsin-Madison, BA Physics, San Francisco State University, MBA, San Francisco State University, JD, University of New Hampshire, Grad. Cert in Applied Sciences-Space Science, Univ. of South Australia

Utilizing physics, especially thermodynamics, to model human history.

Geo Kocheril Member since: Tue, Oct 01, 2019 at 02:29 PM

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

Oswaldo Terán Member since: Sun, Oct 20, 2013 at 05:21 PM

PhD Manchester Metrop. Univ. at CPM, 2001, M.Sc. in Applied Statistics, IEAC, ULA, Systems Engineer, ULA, High School, Burbusay

Social Simulation using MABS. At present, research to expand SocLab in order to model emotions and morality.
Others: Organisations, Soft Systems, Planning methodologies.

Displaying 10 of 58 results model clear

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