Interactive search query development and evaluation tools
This project aims to design and implement interactive query-building tools using Elasticsearch/Solr index statistics and AI-driven recommendations to help researchers transparently optimise precision, recall, and topical coverage for systematic literature searches.
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Comparing frontier few/single-shot LLM wrappers to conventional classifiers
Tools like Jev promise a convenient and fast way to classify textual data. How well does it compare to conventional supervised models?
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Extracting geographic locations from text
Develop and benchmark a modular NLP pipeline that uses smart gazetteer filtering and context extraction to reliably identify, resolve, and interpret study locations mentioned in scientific literature.
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The great move? Understanding the climate debate’s shift across social media platforms
Recent years have seen a move of social media users from the environmental fields from X/Twitter to Bluesky and other platforms. This project aims to better understand this shift by combining previously gathered X/Twitter data with new data from Bluesky.
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Climate solutions going viral: investigation of factors for successful communication about climate technologies
Technological solutions to climate change are a major part of climate debates on social media. But which factors explain user’s engagement with solutions?
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Exploring climate justice topics in climate adaptation (and/or mitigation) literature
Update and expand existing analysis: Women are under-represented in adaptation policy research and are more likely to emphasise justice topics - IOPscience
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Exploring the scope for automation in rigorous systematic review processes
Climate policies need to be informed by the best and most recent evidence. However, it is a common problem at the science-policy interface that this evidence is often not available when decision-makers need it. “
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Identifying and explaining rapid emissions increases
This project aims to use a policy analysis to explore the effects of policy reversals, weakening legislation, interest group obstruction, and other non-climate policy effects on emissions.
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Identifying the frontiers of emissions reductions
This project aims to quantify the frontiers of emissions reductions and identify where slowdowns in emissions reductions should be anticipated without more stringent action in those sectors.
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When to stop in machine-learning prioritized screening? Bayesian updating for robust stopping rules
In prioritised screening for systematic reviews, the question is when to stop the screening process in a way that the reviewer can be confident to reach a desirable recall target.
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What interventions to safe energy in buildings work, under what conditions and why
A variety of behavioral, information and monetary interventions have been proposed to reduce energy consumption in residential buildings
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Visual metaphors for CDR and/or climate change
What images do different media outlets choose for their content on climate change or different CDR methods?
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Do carbon pricing policies work?
A systematic review and meta-analysis of ex-post evidence
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Automated text translation
Often research states "this is limited to English-language literature". We need to get away from that!
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When and how can ChatGPT help us to save hand labeling efforts
We spend a lot of time and money on students to annotate text data. Some of them are used to train ML text classification models. Can ChatGPT be used to save some of the resources?
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