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Ram Kamath Member since: Thursday, March 01, 2018

Kamran Khan Member since: Thursday, July 13, 2017 Full Member Reviewer

Eric Kameni Member since: Monday, October 19, 2015 Full Member Reviewer

Ph.D. (Computer Science) - Modelisation and Application, Institute for Computing and Information Sciences (iCIS) and Institute for Science, Innovation and Society (ISIS), Faculty of Science, Radboud University, Netherland, Master’s degree with Thesis, University of Yaounde I

Eric Kameni holds a Ph.D. in Computer Science option modeling and application from the Radboud University of Nijmegen in the Netherlands, after a Bachelor’s Degree in Computer Science in Application Development and a Diploma in Master’s degree with Thesis in Computer Science on “modeling the diffusion of trust in social networks” at the University of Yaoundé I in Cameroon. My doctoral thesis focused on developing a model-based development approach for designing ICT-based solutions to solve environmental problems (Natural Model based Design in Context (NMDC)).

The particular focus of the research is the development of a spatial and Agent-Based Model to capture the motivations underlying the decision making of the various actors towards the investments in the quality of land and institutions, or other aspects of land use change. Inductive models (GIS and statistical based) can extrapolate existing land use patterns in time but cannot include actors decisions, learning and responses to new phenomena, e.g. new crops or soil conservation techniques. Therefore, more deductive (‘theory-driven’) approaches need to be used to complement the inductive (‘data-driven’) methods for a full grip on transition processes. Agent-Based Modeling is suitable for this work, in view of the number and types of actors (farmer, sedentary and transhumant herders, gender, ethnicity, wealth, local and supra-local) involved in land use and management. NetLogo framework could be use to facilitate modeling because it portray some desirable characteristics (agent based and spatially explicit). The model develop should provide social and anthropological insights in how farmers work and learn.

Kamal Akbari Member since: Friday, February 24, 2017 Full Member Reviewer

Mart van der Kam Member since: Tuesday, October 02, 2018

alimak Member since: Friday, March 26, 2010

hirbod Member since: Saturday, September 01, 2012

BSc Computer Science

Multi-agent Systems, Agent Based Modeling, Artificial Intelligence

L Montoya Member since: Sunday, April 10, 2016

PhD un economics

Biólogical metaphor

L Bollinger Member since: Wednesday, June 05, 2013

MSc Industrial Ecology

Using modeling and simulation to support the development of resilient infrastructures

Lillian Lillian Member since: Sunday, May 31, 2015

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