I am currently head of the Working Group POLISES which uses agent-based models to study the impact of policies on land user behavior and consequences on the social-ecological system. This includes agri-environmental schemes for European agriculture and climate related policies such as insurance. In prior projects we investigated intended and unintended effects of global policy instruments on the social-ecological resilience of smallholders. We focused on the impact of policies targeting climate risk in common property regimes of pastoralists in Africa (Morocco and Kenya/Ethiopia).
On a conceptual level, I work in an international team of modellers, psychologists, agroeconomists and natural scientists on adequate representations of human behaviour in agent-based models. Furthermore, I am interested in how to describe models in an appropriate and standardised manner to increase their comprehensibility and comparison and how to foster model reuse and building up on each others work.

Adapting Agents on Evolving Networks: An evolutionary game theory approach

Down Networks is a real time, progressively agile non profit startup whose goals are to fund its research via pragmatically aggressive altruistic entrepreneurial pursuits informed by proprietary in-house techniques, open source technology and refined scientific methodology.

My research centers on isolating how and to what extent political institutions themselves shape policy. I use computational modeling (agent-based and simulation) to gain theoretical leverage on the issue. This approach allows me to place groups of actors with given preferences into different institutional settings in order to gauge the effect of the rules of the game on political outcomes. Most of my research examines the ways in which legislative processes affect issues of political economy, such as income redistribution.

My research focuses pn the intersection between game theory, social networks, and multi-agent simulations. The objectives of this scientific endeavor are to inform policy makers, generate new technological applications, and bring new insight into human and non-human social behavior. My research focus is on the transformation of cultural conventions, such as signaling and lexical forms, and on many cell models models of stem cell derived clonal colony.

Because the models I analyze are formally defined using game theory and network theory, I am able to approach them with different methods that range from stochastic process analysis to multi-agent simulations.

Sudhira’s research has been primarily on urban land-use and land cover change studies exploring their consequences on environmental sustainability and understanding their inter-relationship with transportation. His broader research addresses the evolution and growth of towns and cities invoking complexity sciences, understanding planning practices and studying the effect of varied governance structures.