Nanda’s research focuses on understanding and formalizing of human behaviour in and on social-ecological systems. She uses agent-based modelling (computational simulation) to integrate and formalise case or expert knowledge, (social) theory and connecting to other methods to contribute to a deeper understanding.
At SRC, she works in GRAID and focuses on synthesising knowledge using agent-based modelling, i.e. comparing and exploring fishery case studies and interventions. Before GRAID, Nanda worked in the SES-LINK project focusing on the role of human behaviour in diverse natural resource management projects. These projects concerned theory development (AgentEx), exploring the effect of assumptions on fisher behaviour (FIBE) and the role of complexity in SES inspired by Balinese irrigation (COBA).
Nanda has a PhD in Social Simulation with a thesis titled ‘Understanding crowd behaviour’ and MSc in Artificial Intelligence, specializing in autonomous systems. Her multidisciplinary upbringing (mix of computer science, psychology, math, philosophy, etc.) and development towards social-ecological system research is a relevant addition to the variety of multi-disciplinary scientists at SRC.
Nanda also engages in a number of scientific committees, such as: Active member of the European Social Simulation Association (Management committee, 2012-2016; Coordinator of a special interest group on Cognitive models in Social Simulation (2012-2016); Coordinator & organiser of ESSA@work workshops and conference tracks for modellers (2008-2016).
Research news | 2018-11-20
Several new and exciting projects will be initiated
Research news | 2018-11-09
The perception of cognition and other related terms easily get misunderstood in scientific processes, leading to frustration, communication breakdown and a collaboration impasse
Research news | 2016-11-04
Why cooperation alone is not enough to secure sustainable use of a resource
Research news | 2016-10-07
Better representation of human behaviour needed in models of social-ecological systems
2017 - Book chapter
Occupy, the Gezi park movement, the Maidan protests, or the recent solidarity marches for Charlie Hebdo—since the uprisings of the Arab Spring, we could observe many examples of on-site protests on big squares and streets being accompanied by waves of collective action in social media. We present the design stage of an agent-based model that will allow us to explore the following questions: What role does social media play in ...
2017 - Journal / article
Formal models are commonly used in natural resource management (NRM) to study human-environment interactions and inform policy making. In the majority of applications, human behaviour is represented by the rational actor model despite growing empirical evidence of its shortcomings in NRM contexts. While the importance of accounting for the complexity of human behaviour is increasingly recognized, its integration into formal mo...
2016 - Journal / article
Of the many crowd behavior models, very few have been used in assisting crowd management practice. This lack of usage is partly due to crowd management involving a diversity of situations that require competencies in observing, sense-making, anticipating and acting. Crowd research is similarly scattered across disciplines and needs integration to advance the field towards supporting practice. To address these needs, we present...
2016 - Journal / article
Cooperation amongst resource users holds the key to overcoming the social dilemma that characterizes community-based common-pool resource management. But is cooperation alone enough to achieve sustainable resource use? The short answer is no. Developing management strategies in a complex social-ecological environment also requires ecological knowledge and approaches to deal with perceived environmental uncertainty. Recent beha...