List of research ideas Following up from previous APSIS research - for master and student projects

CDR on Twitter: links to external sources and/or qualitative analysis Research questions: What links and sources do users share on Twitter about CDR? What kinds of contents are shared? Useful skills: python scripting for web crawling and data analysis, NLP Useful prior knowledge: carbon dioxide removal, media analysis Contact: Finn

Technology scale up: comparing different growth measures for emerging technologies Research questions: Which aspects of technology scale up do different measures highlight? Which aspects of growth trajectories do they focus on? On which indicators are they applicable? How well are they applicable to incomplete and noisy data? Useful skills: mathematical modeling, data analysis (curve fitting) Useful prior knowledge: innovation, development, scaling and diffusion of emerging technologies Related literature: Nemet et al. (forthcoming), Wilson papers, Cherp et al. Contact: Finn

Learning from REDD+/NbS for CDR (Evie Ackery doing this one) Research questions: What lessons can be learned from the literature on REDD+ and/or NbS to advance the deployment of CDR (could focus this, e.g., around specific policies or topics like governance, equity, burden-sharing, scale-up, etc.)? Or maybe a case study as a policy/historical analogue? What did MRV/quantification of emission reductions/removals look like in legacy markets (e.g., CDM)? Useful skills: Useful prior knowledge: Related literature: https://royalsocietypublishing.org/doi/10.1098/rsfs.2020.0001 Contact: Ingrid

Tracking CDR deployments Starting with a list of CDR companies (e.g. cdr.fyi, cdratlas, https://carbonplan.org/…) and CDR news (e.g. mailing list), find news articles, grey literature, tweets, … mentioning those companies. Can we extract information such as actual sequestration, projected scale, and investments? Construct a database/knowledge graph of bits of information and sources. Useful skills: none for manual feasibility study Useful prior knowledge: carbon dioxide removal, media analysis Contact: Tim

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? Looking at cover images in news platforms or attachments in Tweets (or other social media), run object detection on those and maybe some “mood” measures to compare common themes. Are there common visual metaphors (e.g. natural solutions always with rainforest, other things with smoke stacks or clouds)? Useful skills: basic programming to retrieve and manage data and apply image classification Contact: Tim

Other (more technical) proposals: Research Proposals

When and how can ChatGPT help us to save hand labeling efforts We spend a lot of time and money on student’s 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? We have lots of annotated data from previous projects. This can be used to investigate if the task could have been fulfilled with ChatGPT and under which conditions. Some playful ideas to investigate: Is ChatGPT temporarily reliable? When prompted with some time (months) in between doe answers vary? Can we use the parameter temperature to estimate the (hidden) certainty of an answer?