Panomsak Promburom

Bio: Panomsak Promburom is an academic researcher from Chiang Mai University. The author has contributed to research in topics: Land management & Land use. The author has an hindex of 9, co-authored 23 publications receiving 513 citations.

Comparison of empirical methods for building agent-based models in land use science

Abstract: The use of agent-based models (ABMs) for investigating land-use science questions has been increasing dramatically over the last decade. Modelers have moved from ‘proofs of existence’ toy models to case-specific, multi-scaled, multi-actor, and data-intensive models of land-use and land-cover change. An international workshop, titled ‘Multi-Agent Modeling and Collaborative Planning—Method2Method Workshop’, was held in Bonn in 2005 in order to bring together researchers using different data collection approaches to informing agent-based models. Participants identified a typology of five approaches to empirically inform ABMs for land use science: sample surveys, participant observation, field and laboratory experiments, companion modeling, and GIS and remotely sensed data. This paper reviews these five approaches to informing ABMs, provides a corresponding case study describing the model usage of these approaches, the types of data each approach produces, the types of questions those data can answer, and an ...

Systems Thinking in Practice: Participatory Modeling as a Foundation for Integrated Approaches to Health.

Abstract: One Health (OH), EcoHealth (EH), and Planetary Health (PH) share an interest in transdisciplinary efforts that bring together scientists, citizens, government and private sectors to implement contextualized actions that promote adaptive health management across human, animal and ecosystem interfaces. A key operational element underlying these Integrated Approaches to Health (IAH) is use of Systems Thinking as a set of tools for integration. In this paper we discuss the origins and epistemology of systems thinking and argue that participatory modeling, informed by both systems theory and expertise in facilitating engagement and social learning, can help ground IAH theoretically and support its development. Participatory modeling is iterative and adaptive, which is necessary to deal with complexity in practice. Participatory modeling (PM) methods actively involve affected interests and stakeholders to ground the field of inquiry in a specific social-ecological context. Furthermore, PM processes act to reconcile the diverse understandings of the empirical world that stem from divergent discipline and community viewpoints. In this perspective article, we argue that PM can support systems thinking in practice and is essential for IAH implementation. Accordingly we invite PH, OH, and EH practitioners to systematically incorporate specialists in systems science and social engagement and facilitation. This will enable the appropriate contextualization of research practice and interventions, and ensure a balanced representation of the roles and relationships of medical, biological, mathematical, and social disciplines. For completeness, funding schemes supporting IAH need to follow the same iterative, adaptive, and participative processes to accompany IAH projects throughout their implementation.

Companion modelling to facilitate collective land management by Akha Villagers in Upper Northern Thailand

Abstract: In the highlands of northern Thailand, ethnic minorities are accused by lowlanders of aggravating the risk of soil erosion on steep slopes through recent land use changes. Government authorities have threatened to further restrict their access to farm land. But whether this risk is increasing or not, and how to prevent this problem are complex questions. In the recent past, an impressive amount of research efforts to control soil erosion led to limited success and highlighted the need for more integrated approaches to deal with this problem. Soil and water conservation is embedded in complex eco-socio systems, with numerous interacting ecological and social dynamics, and an increasing number of stakeholders with different interests and perceptions. Companion Modelling (ComMod) is an emerging approach designed to facilitate collective learning in such complex systems. By combining tools such as Multi-Agent Systems and Role Playing Games, it aims at developing simulation models integrating different

Proceedings of the National Academy of Sciences

Abstract: where A represents the magnetic vector potential, is an integral of the hydromagnetic equations. This -integral made it possible to formulate a variational principle for the force-free magnetic fields. The integral expresses the fact that motions cannot transform a given field in an entirely arbitrary different field, if the conductivity of the medium isconsidered infinite. In this paper we shall show that the full set of hydromagnetic equations admit five more integrals, besides the energy integral, if dissipative processes are absent. These integrals, as we shall presently verify, are I2 =fbHvdV, (2)

Getting to Yes: Negotiating Agreement without Giving in

Abstract: (2002). Getting to Yes: Negotiating Agreement without Giving in. Quality Management Journal: Vol. 9, No. 2, pp. 73-74.

Spatial agent-based models for socio-ecological systems

Abstract: Departing from the comprehensive reviews carried out in the field, we identify the key challenges that agent-based methodology faces when modeling coupled socio-ecological systems. Focusing primarily on the papers presented in this thematic issue, we review progress in spatial agent-based models along the lines of four methodological challenges: (1) design and parameterizing of agent decision models, (2) verification, validation and sensitivity analysis, (3) integration of socio-demographic, ecological, and biophysical models, and (4) spatial representation. Based on this we critically reflect on the future work that is required to make agent-based modeling widely accepted as a tool to support the real world policy. Progress of agent-based methodology in modeling coupled socio-ecological systems.Key methodological challenges for ABM.Societal issues and critical reflection on the prospects of ABM.