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Loughborough University
Building Community Climate Resilience with Large Language Models and Remote Sensing PhD
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Building Community Climate Resilience with Large Language Models and Remote Sensing PhD
Loughborough University, Loughborough, United Kingdom
# 251-300QS Subject Rankings
36 monthsProgram duration
17 Feb, 2025Application Deadline
YesScholarships
Program overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Read more warning systems, recovery and reconstruction practices, amongst others, one-size-fits-all solutions do not account for regional disparities, individual community needs and capabilities.
There are three barriers to the planning and implementation of concrete, actionable and tailored resilience strategies: (1) access to relevant place-dependent knowledge, e.g. what could work here?; (2) understanding of the practical steps involved in implementing the identified solutions, e.g. who to involve?, how to fund?, what to consider?; and (3) enabling coordination of isolated local projects to converge into coherent joint action at a larger level.
Our project will develop a decision support tool that helps communities create tailored action plans towards climate resilience and adaptability for their local community.
Large language models will serve to identify, extract and interpret knowledge from existing document collections, such as scientific articles, climate reports, environmental impact assessments, and policy documents, that can translate into a reliable knowledge base. Remote sensing data will be used to enhance information gained from text, for example, to gather information on geographical features, land use, potential geohazards, to inform which solutions work in specific places and contexts.
The successful candidate will work in the new Loughborough Language & Data research group in Computer Science and will also collaborate with colleagues at the UK’s Centre for Environment, Fisheries and Aquaculture Science (CEFAS) towards pathways of impact. Read less
Program overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Read more warning systems, recovery and reconstruction practices, amongst others, one-size-fits-all solutions do not account for regional disparities, individual community needs and capabilities.
There are three barriers to the planning and implementation of concrete, actionable and tailored resilience strategies: (1) access to relevant place-dependent knowledge, e.g. what could work here?; (2) understanding of the practical steps involved in implementing the identified solutions, e.g. who to involve?, how to fund?, what to consider?; and (3) enabling coordination of isolated local projects to converge into coherent joint action at a larger level.
Our project will develop a decision support tool that helps communities create tailored action plans towards climate resilience and adaptability for their local community.
Large language models will serve to identify, extract and interpret knowledge from existing document collections, such as scientific articles, climate reports, environmental impact assessments, and policy documents, that can translate into a reliable knowledge base. Remote sensing data will be used to enhance information gained from text, for example, to gather information on geographical features, land use, potential geohazards, to inform which solutions work in specific places and contexts.
The successful candidate will work in the new Loughborough Language & Data research group in Computer Science and will also collaborate with colleagues at the UK’s Centre for Environment, Fisheries and Aquaculture Science (CEFAS) towards pathways of impact. Read less
Admission Requirements
Tuition Fee and Scholarships
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QS subject rankings
Subject: Computer Science and Information Systems
Ranking criteria
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Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD