To be announced.

To be announced.

Financial losses arising from climate change are difficult to insure or ‘hedge’. We estimate climate risk by analysing large volumes of text and numerical data with Large Language Models (LLMs) and demonstrate its relevance by constructing dynamic hedging strategies based on this metric. This provides a tool for firms and investors for targeted risk mitigation.

Brands are increasingly implementing strategies, such as plant-based defaults, to promote sustainable consumer choices. This research examines consumer responses to plant-based defaults by exploring psychological mechanisms behind negative reactions and testing interventions to improve these reactions. The findings will guide brands in implementing sustainable choices more effectively without alienating consumers.

Our project examines whether companies back up their climate targets (e.g., Net-zero) with real actions in the form of environmental clauses in their contracts. It helps reveal which firms are serious about reducing their climate impact and offers early signals to investors, regulators, and the public—beyond just green talk.

How does optimism about future climate technologies shape today’s environmental action?

This research explores whether belief in innovations like carbon capture and renewable energy drives immediate sustainable behaviour or delays action. By studying public perceptions, we provide insights for policymakers and advocates to frame climate communication for real impact.

Together with ASF, we are organising a symposium where we bring together a group of interdisciplinary behavioural researchers to explore the question of how we can solve an emerging definitional crisis of what constitutes pro-environmental behaviour, what differentiates different environmental behaviours and how to best measure them. 

To be announced.

We document a global rise in environmental protests targeting banks and examine their impact. Using confidential administrative data, we analyse short-term stock market reactions, shifts in banks’ environmental communication, and long-term changes in bank lending and firm emissions.

This research addresses two age diversity challenges: (1) stereotypes of younger employees as self-centered, lazy, and entitled ('youngism'), and (2) biases arising when older employees report to younger leaders. Despite prevalent ageism research, 'youngism' remains overlooked. Understanding when and why young employees' motives, competence, and authority are questioned is vital for organisational performance and employee well-being.

Rising house prices worsen income inequality, benefiting the wealthy while burdening constrained households. Non-financially-constrained households save to afford higher-priced properties, increasing their income and creditworthiness, which drives up demand and prices. In contrast, financially-constrained households face higher barriers to homeownership and rent, further exacerbating inequality.

Confidential until the end of the research project.

Our research explores if Large Language Models (LLMs) can reliably and energy-efficiently extract sustainability information from annual financial reports. By developing an open-source framework that balances accuracy with computational efficiency, we aim to enhance transparency in corporate reporting and promote sustainable computing practices in textual information extraction.

Sexism is common on platforms like Twitch. We argue that paid subscription/patronage may lead some viewers to feel entitled to mistreat female streamers. We believe these pricing policies could encourage sexist behavior and aim to identify ways platforms can intervene to reduce this negative impact on women streamers.

Individuals from affluent backgrounds often have disproportionately greater opportunities to pursue higher education and enroll in prestigious institutions. However, the role of peers in such socioeconomic segregation has long been ignored. This project will quantify peer effects on education choices, enriching our understanding of the multifaceted nature of educational inequality.