Manjana Milkoreit is a PhD candidate in Global Governance at the Balsillie School of International Affairs, University of Waterloo. She received her law degree from the University of Heidelberg (Germany) and graduated with a Masters of Public Policy as McCloy Scholar from the Harvard Kennedy School. Her research at Harvard focused on international relations, security studies (in particular nuclear non-proliferation), leadership and global governance. Using a complex systems approach, Manjana’s long-term research interest concerns the nexus between climate change and security, which she wants to explore with the use of agent-based neural network models. Her dissertation focuses on complex mental systems, exploring the role of cognition in international climate politics. Using cognitive-affective maps and Q Method she investigates the different belief systems and thought patterns of participants in the climate negotiations, asking whether and how cognitive processes influence the search for cooperative solutions.
Tagged with: adaptive networks • agent-based modeling • bounded rationality • climate change • collective behavior • collective intelligence • complexity measurement • cooperation versus competition • dynamical networks • information theory • irrational behavior • networks • self-organized criticality • social dynamics • systems theory