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Lindkvist uses agent-based simulation models to understand aspects of resilience and sustainability in social-ecological systems. She is interested in novel ways of combining qualitative data into these models, particularly in small-scale fisheries, to explore phenomena such as social differentiation, co-management, cooperation, mobility and migration, sequential resource exploitation, and overfishing.
Lindkvist is leading the research project “Navigating the complexity of small-scale fishery interventions: An intersection of agent-based modeling and participatory empirical research”. She is also participating in the research project “Inequality and the sustainable development goals: A multi-scale analysis of tradeoffs, synergies, and interactions” lead by Carl Folke and the Beijer Young Scholars, and the project “Approaches to causation in the social and natural sciences and their implications for theory building in sustainability science” lead by Maja Schlüter.
Lindkvist has a background in computer science from KTH Royal Institute of Technology and Uppsala University, as well as mathematics from Stockholm University, Sweden. She started working at the Systems Ecology Department at Stockholm University as a modeller together with Jon Norberg in 2004. She later pursued her PhD in sustainability Sciences at the Stockholm Resilience Centre with Jon Norberg and Maja Schlüter, titled “Learning-by-modeling–Novel Computational Approaches for Exploring the Dynamics of Learning and Self-governance in Social-ecological Systems”. In her following postdoc Lindkvist was funded by USA NSF coupled human nature systems grant in collaboration with researchers at Duke University Marine Lab, Scripps Institution of Oceanography at University of San Diego, and Darling Marine centre at Maine University.
Blanca González García-Mon, PhD candidate
Research news | 2020-09-23
Three projects looking at ways to realise the Sustainable Development Goals receive almost SEK 60 million in funding
Research news | 2020-05-27
Broadening the analytical focus beyond harvesting is necessary in order to imagine new ways of governing the commons
Research news | 2020-03-17
Computational approach can reveal intricate interactions among stakeholders and help prevent unintended policy outcomes
Research news | 2019-12-30
Time to go from simply describing social-ecological systems to explaining how their complex interactions generate observed outcomes