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 | 2018-10-30
Six ways inequality affects our environment and vice versa
Research news | 2017-05-03
How modellers and field experts joined forces to develop agent-based models that account for complex human interactions
Research news | 2017-04-25
New modeling approach can help boost learning to deal with unexpected changes in management of renewable resources
2018 - Journal / article
Rising inequalities and accelerating global environmental change pose two of the most pressing challenges of the twenty-first century. To explore how these phenomena are linked, we apply a social-ecological systems perspective and review the literature to identify six different types of interactions (or “pathways”) between inequality and the biosphere. We find that most of the research so far has only considered one-directiona...
2017 - Journal / article
Small-scale fisheries (SSFs) in developing countries are expected to play a significant role in poverty alleviation and enhancing food security in the decades to come. To realize this expectation, a better understanding of their informal self-governance arrangements is critical for developing policies that can improve fishers’ livelihoods and lead to sustainable ecosystem stewardship. The goal of this paper is to develop a mo...
2017 - Journal / article
As a consequence of global environmental change, management strategies that can deal with unexpected change in resource dynamics are becoming increasingly important. In this paper we undertake a novel approach to studying resource growth problems using a computational form of adaptive management to find optimal strategies for prevalent natural resource management dilemmas. We scrutinize adaptive management, or learning-by-doin...