González García-Mon brings together empirical knowledge of small-scale fisheries and small-scale agriculture, and diverse methodologies to understand social-ecological systems across scales. She is currently using network analysis and agent-based models as her main analytical tools to studythe structure and dynamics of trade networks within social-ecological systems.
González García-Mon holds a Master of Science in Sustainability after studying the Master’s program “Social-Ecological Resilience for Sustainable Development” at the Stockholm Resilience Center (2015-2017). Her master’s thesis studied a seafood supply chain in Baja California Sur, Mexico, from a social-ecological network approach. She was supervised by Örjan Bodin at the Stockholm Resilience Center and co-supervised by Xavier Basurto and Mateja Nenadovic from Duke University.
She also holds a Bachelor’s degree in Biology from the Autonoma University of Madrid (2011-2015). In Madrid, she collaborated with the social-ecological systems laboratory, where she was initiated to social-ecological systems research working in the project “Ecosystem services assessment applied to fisheries management’ in Spain.
González García-Mon has always wanted to complement her academic knowledge with practical experience. She is founding member of Mensa cívica, a non-profit organization that aims to promote sustainability in collective food services in Spain. In addition, she has volunteered in various projects in Spain, in a conservation project in Senegal, and in organic farms.
Awards and achievements:
Research news | 2020-03-17
Computational approach can reveal intricate interactions among stakeholders and help prevent unintended policy outcomes
Research news | 2019-10-09
Fish buyers’ trade relationships with others strongly influences sustainability and their capacity to adapt to changes
2020 - Journal / article
The sustainable governance and management of small-scale fisheries (SSF) is challenging, largely due to their dynamic and complex nature. Agent-based modeling (ABM) is a computational modeling approach that can account for the dynamism and complexity in SSF by modeling entities as individual agents with different characteristics and behavior, and simulate how their interactions can give rise to emergent phenomena, such as over...
2019 - Journal / article
The importance of understanding how social-ecological interdependencies deriving from global trade influence sustainability has been argued for decades. Even if substantial progress has been made, a research gap remains regarding how the adaptability of small-scale fish buyers, whose daily operations have implications for the livelihood of more than 100 million people, are affected by networks of trade relationships. Adaptabil...