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Climate change

12 results

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…intergenerational ties and demographic change with Diego Alburez-Gutierrez's Kinship Inequalities group. The team particularly welcomes work on family networks in crises, including disasters, epidemics and climate change, alongside theoretical and methodological advances. This full-time three-year appointment is based on site in Rostock, with a flexible start no later than June 2027. Gross annual remuneration is approximately EUR 67,560–77,700 depending on experience. The employer's application form gives a deadline of 17 November 202

Closes

Job · Demography

…and the interaction between climate change and built environments. Studies of plants, birds, lizards and insects, together with work on green infrastructure and human–nature relationships, will examine shared mechanisms and contrasting conditions across cities, including those in the Global South. Attendance applications are reviewed and capacity ma

Jan 31 – Feb 5, 2027

Conference · Ecology

…disease, and the pressures that climate change places on African lions. The programme also examines evolutionary competition between reptiles and mammals and the scientific accuracy of dinosaur displays. This edition brings together five science reports connecting interactions among organisms, environmental change and the communication of biological research.

Podcast episode · Ecology

Toni Lyn Morelli and Alexej Sirén discuss how climate change alters the geographical distribution of species. As habitats change, movement can offer plants and animals a route to persistence, but it also reshapes ecological relationships. The episode examines these shifts and their implications for conservation and the communities that share affected environments.

Podcast episode · Biogeography

Ray Huey discusses how thermal physiology informs understanding of organisms and climate change. The conversation traces his work on lizards, research on mountaineering and survival at altitude, and approaches to scientific writing. It also considers graduate training and the development of a research career in ecology and evolution.

Podcast episode · Physiology

Prosocial Learning and Motivation across the Lifespan

Patricia Lockwood · University of Birmingham, UK

…Our choices can decelerate climate change, stop the spread of infectious diseases, and directly help or harm others. Prosocial behaviours – decisions that help others – could contribute to reducing the impact of these challenges, yet their computational and neural mechanisms remain poorly understood. I will present recent work that examines prosocial motivation, how willing we are to incur costs to help others, prosocial learning, how we learn from the outcomes of our choices when they affect other people, and pro

Tue, Sep 10, 2024 · 08:30 UTC

Seminar · Behavioral Neuroscience

A neurocomputational approach for effort-based decision-making: Comparing self and environmental motivation

Boryana Todorova, Kimberly Doell, Ronald Sladky, Claus Lamm · FENS Forum 2024

Climate change is one of the biggest challenges humanity has ever faced, but the fields of social and decision neuroscience have contributed surprisingly little to our understanding of pro-environmental behavior. Across two studies, we adapted a well-established paradigm developed to study effortful prosocial behavior to investigate pro-environmental behavior. In study one, 74 participants engaged in a decision-making task, where they could earn a varying amount of money for themselves or a pro-environmental organization by investing a varying amount of physical force (measured by a hand-grip

ePoster · Neuroscience

Dag Hessen discusses environmental tipping points and the connections between climate change and biodiversity loss. Conversation in Norwegian.

Podcast episode · Climate Science

Machine Learning as a tool for positive impact : case studies from climate change

Alexandra (Sasha) Luccioni · University of Montreal and Mila (Quebec Institute for Learning Algorithms)

Climate change is one of our generation's greatest challenges, with increasingly severe consequences on global ecosystems and populations. Machine Learning has the potential to address many important challenges in climate change, from both mitigation (reducing its extent) and adaptation (preparing for unavoidable consequences) aspects. To present the extent of these opportunities, I will describe some of the projects that I am involved in, spanning from generative model to computer vision and natural language processing. There are many opportunities for fundamental innovation in this field, ad

Thu, Dec 10, 2020 · 15:00 UTC

Seminar · Machine Learning