Journal article
Artificial intelligence, systemic risks, and sustainability

Galaz, V., M.A. Centeno, P.W. Callahan, A. Causevic, T. Patterson. et al. 2021. Artificial intelligence, systemic risks, and sustainability. Technology in Society 67:101741.

Automated decision making and predictive analytics through artificial intelligence, in combination with rapid progress in technologies such as sensor technology and robotics are likely to change the way individuals, communities, governments and private actors perceive and respond to climate and ecological change. Methods based on various forms of artificial intelligence are already today being applied in a number of research fields related to climate change...

Book chapter
Data Mining and Pattern Recognition

Rocha, C.J., and S. Daume. 2021. Data Mining and Pattern Recognition. In: Biggs, R., de Vos, A., Preiser, R., Clements, H., Maciejewski, K. and M. Schlüter (Eds.). The Routledge Handbook of Research Methods for Social-Ecological Systems. Routledge, London, UK. Pp. Chapter 17.

Chapter 17 deals with data mining and pattern recognition, which are methods in data science. A general purpose of data science is pattern discovery from unstructured and heterogeneous sources of data through data mining and machine learning. The chapter discusses data wrangling, clustering analysis, regression trees, neural networks, sentiment analysis and topic models. It goes on to discuss the types of social-ecological systems (SES) problems...

Other
AI i klimatets tjänst – En kartläggning av svensk kompetens i ett internationellt perspektiv

Galaz, V., E. Wilson, M. Schewenius and S. Janson. 2021. AI i klimatets tjänst – En kartläggning av svensk kompetens i ett internationellt perspektiv. Vinnova ISBN: 978-91-89107-04-5.

Beijer Discussion Paper
Machine intelligence, systemic risks, and sustainability

Galaz, V. et al. . 2021. Beijer Discussion Paper 274: Machine intelligence, systemic risks, and sustainability. Beijer Discussion Paper Series.

Automated decision making and predictive analytics in combination with rapid progress in sensor technology and robotics are likely to change the way individuals, communities, governments and private actors perceive and respond to climate and ecological change. Machine intelligent methods are already today being applied within a number of research fields related to climate change and environmental monitoring. Investments into applications of these technologies in agriculture,...

Book chapter
Climate and environmental crises

Galaz, V.. 2020. Climate and environmental crises. In: In Stern, E. (ed). Encyclopedia of Crisis Analysis. Oxford University Press. Oxford. UK. Pp. .

Climate change is increasingly being framed as a “climate crisis.” Such a crisis could be viewed both to unfold in the climate system, as well as to be induced by it in diverse areas of society. Following from current understandings of modern crises, it is clear that climate change indeed can be defined as a “crisis.” As the Intergovernmental Panel on Climate Change 1.5oC special...

Beijer Discussion Paper
The social dynamics of basins of attraction

Sander van der Leeuw and Carl Folke. 2020. Beijer Discussion Paper 273: The social dynamics of basins of attraction. Beijer Discussion Paper Series.

This paper conceptualizes social-ecological, or socio-environmental transformations as societal shifts from one basin of attraction to another. Such transitions occur when a society’s infor-mation processing apparatus is no longer suitable to deal with the dynamics in which the society is involved. To understand when this might be the case, we conceive of two dynamic niches, one in the mind, containing an individual’s or a society’s...

Beijer Discussion Paper
Our Future in the Anthropocene Biosphere: Global sustainability and resilient societies

Folke et al. 2020. Beijer Discussion Paper 272: Our Future in the Anthropocene Biosphere: Global sustainability and resilient societies. Beijer Discussion Paper Series.

The corona pandemic has exposed the interconnected, tightly coupled and vulnerable globalised world. This White Paper sets the scientific stage for understanding and responding to such crises for global sustainability and resilient societies. We provide a systemic overview of the current situation; where people and nature are dynamically intertwined and embedded in the biosphere, placing shocks and extreme events as part of this dynamic; where...

Beijer Discussion Paper
Algorithms and the Shift in Modern Science

W. Brian Arthur. 2020. Beijer Discussion Paper 269: Algorithms and the Shift in Modern Science. Beijer Discussion Paper Series.

In the 1600s science shifted from being expressed in geometric form to being expressed in terms of algebraic equations. This paper argues that a new shift is underway: scientific thought is moving from being expressed in equation form to being expressed in algorithmic form. The shift is deep and it is gradual. It allows “context” to be considered—the situation surrounding the problem at hand. It...

Book chapter
Complexity, resilience and economics

Crépin, A.-S. 2019. Complexity, resilience and economics. In: V. Galaz, editor. Global Challenges, Governance, and Complexity: Applications and Frontiers. Edward Elgar Publishing, Cheltenham, UK. Pp. 166-188.

Book chapter
Governing for emergence in socialecological systems

C. Folke. 2019. Governing for emergence in socialecological systems. In: Galaz. V. (ed.). Global Challenges, Governance, and Complexity Applications and Frontiers. Edward Elgar Publishing, Cheltenham, UK. Pp. 24-37.