Over the recent years, large pretrained language models (LM) have revolutionized the field
of natural language processing (NLP). However, while pretraining on general language has …

The climate impact of AI, and NLP research in particular, has become a serious issue given
the enormous amount of energy that is increasingly being used for training and running …

Large language models (LLMs) have significantly transformed the landscape of artificial
intelligence by demonstrating their ability in generating human-like text across diverse …

Public and private actors struggle to assess the vast amounts of information about
sustainability commitments made by various institutions. To address this problem, we create …

The discourse surrounding climate change on social media platforms has emerged as a
significant avenue for understanding public sentiments, perspectives, and engagement with …

Environmental, social, and governance (ESG) criteria take a central role in fostering
sustainable development in economies. This paper introduces a class of novel Natural …

As societal awareness of climate change grows, corporate climate policy engagements are
attracting attention. We propose a dataset to estimate corporate climate policy engagement …

Our meta-analysis investigates the environmental sustainability performance of family firms
(FFs) distinguishing between environmental hand-and footprint and accounting for FF …

Fossil fuel actors have been using greenwashing strategies to enhance their public image
by making 'green'and 'sustainable'claims, which can be misleading for the investing public …

Nature is an amorphous concept. Yet, it is essential for the planet's well-being to understand
how the economy interacts with it. To address the growing demand for information on …