PhD candidate in Computational Social Science Are you interested in pursuing a PhD focused in the study of the interactions among humans and their environments? In my new group at the Computational Science Lab, we are interested in a range of social and ecological processes with the goal of better understanding and managing them. We take a variety of mathematical, computational, and experimental techniques to address our questions. From simple, stylized problems that can be tested experimentally to detailed, prediction-focused models that feed on large datasets, we believe knowledge comes from bursts of generalization and application; and it also comes from a variety of approaches.
Have you heard of Game Theory, Network Science, or Dynamical Systems? Have you ever thought about what they have in common? Do they relate to the methods you use or would like to learn?
Currently, we are starting several research directions, for which we want creative, motivated minds. We have three directions for which we are recruiting.
i) Social norms and social dynamics, cooperation and institutions, and their impact in climate change mitigation;
ii) the energy transition and its impacts in social and ecological systems; or
iii) mental health and its relation to urbanicity and sociality.
In all of these, you will be immersed in an international network of collaborators, and you will be supervised by me (check the website). For an idea of the collaborations, see also the Earth Resilience and Sustainability Initiative, the Polder Center, and the Centre for Urban Mental Health. The positions are at the Computational Science Lab at the Informatics Institute and the Institute for Advanced Study at the University of Amsterdam, where you can expect a highly stimulating environment. If your favorite topic lies within these themes, send me your motivation letter to email@example.com, specifying your insterests. THE CALL IS NOW OPEN UNTIL JULY 1st:
What’s else is going on
“I think the next [21st] century will be the century of Complexity,” said Stephen Hawking, anticipating the way science is developing. Here, Complexity refers a property of many systems and their emergent properties, which makes them hard to manage. Our collective inability to manage them means we face many systemic crises at once: climate change, growing inequality, a sixth mass extinction, the global spread of misinformation and health problems.
All systems are prone to interference and shocks. Most have the abilities to resist change, adapt, or repair as to retain some sort of self-coherence. What mechanisms result in these abilities? How do they contribute to overall resilience? Can a system recover its coherence once it loses it? These are some of the fundamental questions I want to explore, using and developing a variety of mathematical and computational methods in a variety of fields. I am particularly interested in the study of systems involving humans, resources, and the institutions that govern them in order to solve societies most pressing issues. And we have many ‘wicked’ ones!
My research agenda is on managing complex systems to solve societal challenges involving the provision of public goods: can we leverage our knowledge of systems to overcome the dilemmas that oppose self- and collective-interest? How can we design institutions and interventions such that by pursuing our individual interests we contribute to society?
I work on a set of diverse problems with a set of amazing people.
Climate change governance opposes self- and collective-interest. It requires the study of mechanisms that promote cooperation – whether among countries, states, or local communities. I have developed evolutionary game theoretical models that describe dynamic, frequency-dependent decisions. The work my coauthors and I develop derives from and runs in parallel with experimental data collected in behavioral studies. We show how decisions within small groups significantly raise the chances of coordinating to save the planet’s climate, supporting the calls for a decentralized or polycentric way of management. This is the case when dealing with the goods themselves or with the sanctioning mechanisms to impose contributions. We studied wealth inequality issues and their impact in the adaptive decision-making process of developed and developing countries. I have also focused on empirical and theoretical analysis of the effect of co-benefits and overlapping coalitions on deepening cooperation,[3,4] namely on providing information about the unknown payoff structure of the climate game. In an ongoing work, based on a large body of experimental literature, we have shown that there is a strong interplay between the scale of the public good and the scale at which decisions for supporting institutions are made. In that interplay, providing information can hinder the sustainability self-govening cooperative groups or, through long-term learning, it can promote and stabilize them.
Novel questions we are thinking about regard the interplay between the decision-making dynamics and the dynamics of goods and resources, a key feature in any social-ecological system.
 Vítor V. Vasconcelos, Francisco C. Santos and Jorge M. Pacheco, A bottom-up institutional approach to cooperative governance of risky commons, (2013) Nature Climate Change, 3 (9) pp. 797-801 (link)
 Vítor V. Vasconcelos, Francisco C. Santos, Jorge M. Pacheco and Simon A. Levin, Climate Policies under Wealth Inequality, (2014) Proceedings of the National Academy of Sciences (PNAS), 111 (6) p2212-2216 (link)
 Phillip M. Hannam, Vítor V. Vasconcelos, Simon. A. Levin, Jorge M. Pacheco, Incomplete cooperation and co-benefits, (2015) Climatic Change, 1-15, Springer (link)
 Vítor V. Vasconcelos, Phillip M. Hannam, Simon. A. Levin, Jorge M. Pacheco, Coalition-structured governance improves cooperation to provide public goods, (2020) Scientific Reports. 10, 9194 (link)
 Vítor V. Vasconcelos, Astrid Dannenberg, and Simon A. Levin. The endogenous origin of institutions to promote cooperation: the effects of scale, information, and remembering the past. (2021) Submitted
Many social-ecological systems are comprised of ecological resources that are extracted by humans. Feedbacksbetween the environment and individual behavior are common. In a collaboration with Dr. Andrew Tilman, we model a broad range of ecosystem resources and consider the effect of different levels of information on those resources as well as different forecasting abilities of its dynamics, for understanding their impact in resource sustainable management. When individuals consider the future state of the resource in their (selfish) decision-making process, the resource tends to be stabilized only in certain cases. When, additionally, individuals try to forecast others’ behaviors, they give rise to a large number of instabilities. Our results are based on a general analysis, of which a number of prior studies on joint strategic-environmental dynamics, across a range of disciplines, can be understood as special cases. We discuss the implication of our results for fields ranging from ecology to economics.
Modern day human civilizations are confronting rapid and extreme environmental, social and economic changes. As droughts, floods and other extreme weather events increase, food production in rural areas, and the food security of large urban populations are becoming increasingly threatened. Prediction suggests that global food access must double to satisfy the increasing demand of world population by the year 2050. Yield enhancement relies heavily on the use of nitrogen fertilizer. However, excess nitrogen fertilizer results in high loss into the atmosphere and/or waterbodies, causing pollution, public-health issues, and long-term greenhouse effect. Climatic disasters such as drought are predicted to pose further threat to agricultural production. Countries will likely further increase nitrogen fertilizer use in the face of climatic risks to ensure crop yield. Many questions arise from this rapid changing food system, envolved in a nexus with energy and water.
Working with graduate student Wenying Liao, we look for designing a global food system where food security is ensured andnitrogen loss is minimized (or kept at a reasonably low level). In that context, we explore the utility of a central, voluntary food bank with a price on nitrogen polution. We show how such institution could provide shelter for climate risk and then use it to decrease total global nitrogen input. We discuss the political implications and feasibility of its creation. Check our talk at the ESA Annual Meeting.
The Coral Triangle reef system (CT) is the epicenter of marine biodiversity and one of the most threatened ecosystems in the world. To assess the reef- and network-scale response of corals to thermal perturbation in this region, in a work lead by theoretical ecologist Prof. Lisa C. McManus, we have developed a metacommunity model based on coral-algal competition coupled with seasonal larval dispersal.  With this model, we have explored the sensitivity of the CT system to a range of future temperature regimes, from 0.5 to 2.0 degree C increase in the system by 2054. Time to reef collapse and total change in percent coral cover varied widely across the region, in response to this warming, with some reefs experiencing local extinction while others remaining virtually unchanged. The magnitude of thermal stress as well as recruitment-based metrics are significant drivers of these patterns, signifying the importance of linking ecological processes across multiple spatial scales to fully characterize the resilience of a reef network perturbed by climate change. Additionally, we have explored heat tolerance as a heritable trait throughout the CT to facilitate coral adaptation. We have found that warm-adapted reefs can provide a regional protective effect against bleaching-related mortality through larval connectivity. Last, the interaction between intra- and inter-patch processes under different magnitudes of thermal stress can be complex and nuanced, resulting in counterintuitive coral cover trajectories. This framework can be extended to accommodate a wide array of life history characteristics that can further elucidate the adaptive capacity of corals.
 Lisa McManus, James R. Watson, Vítor V. Vasconcelos, Simon A. Levin, Stability and Recovery of Coral-algae Systems: the Importance of Recruitment Seasonality and Grazing Influence (2018) Theoretical Ecology, p1-12
 Lisa C. McManus, Vítor V. Vasconcelos, Simon A. Levin, Diane M. Thompson, Joan Á. Kleypas, Fredric S. Castruccio, Enrique N. Curchitser, James R. Watson. Extreme temperature events will drive coral decline in the Coral Triangle (2019) Global Change Biology 14972
 Lisa C. McManus, Vítor V. Vasconcelos, Simon A. Levin, Fernando P. Santos, Diane M. Thompson, Joan Á. Kleypas, Fredric S. Castruccio, Enrique N. Curchitser, James R. Watso. Larval dispersal facilitates coral adaptive response on a spatially realistic network. (2021) In preparation for PLOS Computational Biology.
Decarbonization of the world’s energy systems is arguably the most critical global technological infrastructure transformation anticipated during the next few decades with tremendous implications for human and natural systems. Crucially, the energy sector is tightly connected to the food and water sectors through what has been coin as the Water-Energy-Food (WEF) nexus. In consequence, the technological innovation entailed in decarbonization would not only be massively disruptive of existing infrastructure and the economic and political interests linked the energy sector but also to water and food. We can therefore expect political resistance, which, in democracies, will generate electoral and legislative struggles. The outcomes of these struggles depend in substantial part on the preferences of citizens with respect to different policy alternatives involving different degrees of reliance on renewable energy (RE) as opposed to fossil fuels (FF). To different degrees, RE and FF energy industries deeply influence natural systems and impact biodiversity and ecosystem services, the most direct being water reserves, which also create distinct preferences in direct and indirect users of those services. A physical coupling between human and ecological systems does not imply necessarily a coupling in human preferences. This coupling between human and natural systems, regarding human preferences, has been caricaturized many times but not directly measured in the context of such a prevalent nexus.
In response to these challenges, we propose to integrate a cross-disciplinary exploration involving political science, other applied social and behavioral science, and environmental science. Our purpose is to expand and deepen our understanding of pathways to decarbonization supported by users, while understanding the impact in human populations and in their use of natural resources.
This work is just happening, and I count with the collaboration of an increadibly diverse team. But see my class on this topic, “Rapid Switch: The Energy Transition Challenge to a Low-carbon Future”, which I developed with an interdisciplinary team of scientists.