Developing a dashboard for social and environmental risks using data mining and multi-criteria decision analysis
Background
PhD opportunity
This project will have a number of questions to investigate. The first challenge would be to understand various dimensions and types of risks attached to climate change and identifying data sources that can help quantify these risks. This might include techniques from data science (like web scraping, text mining, data wrangling, information fusion etc.). Once the data are cleaned and transformed into quantifiable risk scores, the next challenge would be to merge different types of risk into a single overall risk score. This will involve the use of multi-criteria decision making and preference elicitation methods. This project will offer students to learn several new tools and techniques from different academic disciplines, and yet, applying them for a single problem at hand.
Other information
Applicant profile: Strong background in statistics and data science skills (e.g. data collection, data cleaning, joining data from different sources, handling missing data, dashboard development).
- https://www.metoffice.gov.uk/about-us/news-and-media/media-centre/weather-and-climate-news/2023/new-climate-data-portal-makes-data-more-accessible
- https://doi.org/10.1109/ICDMW.2008.30
- https://doi.org/10.1016/j.eiar.2024.107607
- https://doi.org/10.3390/w13101358
- https://doi.org/10.3390/w12092379