Collaborations

‘Using Artificial Intelligence (AI) to improve coastal resilience in data-sparse locations: Caribbean region case study (AI4COASTS)’ is an innovative project dedicated to improving coastal resilience in the Caribbean. By leveraging artificial intelligence (AI), nature-based solutions, and community engagement, we aim to address the critical challenges posed by climate change, including flooding, erosion, and storm surges. Our project focuses on creating sustainable and actionable strategies for vulnerable coastal communities while advancing scientific knowledge in the field.

Pigeon Point, Tobago

Machine learning models to predict the Multidimensional Vulnerability Index scores for climate-vulnerable countries, based on the indices proposed by both the Caribbean Development Bank and the United Nations.

Andrew and his fellow researchers at the CCI Research Symposium

The project proposed by Cropper was to create a closed GPT model trained in legislation, policy, case law and environmental research to address capacity gaps in CSO policy engagement. It would help CSOs quickly analyze and summarize complex documents, generate insights for advocacy and draft statements or social media updates.

Akshay Seedath presenting the AI for CSOs tool at CDM13