Jiaqi Ge

Jiaqi Ge

Profile

Dr. Jiaqi Ge is a University Academic Fellow (UAF) of Urban Analytics in the School of Geography at the University of Leeds. Her main areas of research are to develop agent-based computational simulation models to understand and simulate important, complex social issues in cities, such as housing bubbles, neighbourhood segregation, deprivation and migration. She has an impressive track record, which is evidenced the quality of my research outputs, and the important role she plays in winning funding (Horizon 2020, grant no. 763912). Her most important work to date includes developing a multi-layered, spatial agent-based model (ABM) of Aberdeen, UK, where she looked at how infrastructure, industrial and economic structure, and the local housing and labour market interplay to determine its transition from an oil-based to a green economy (Ge et al. 2018). This work is entirely novel and interdisciplinary. She has also delivered cutting-edge research in the areas of housing market analysis (Ge 2014, Ge 2017, Liu et al. 2018), transport simulation (Ge and Polhill 2016, Ge et al. 2018), household preferences and attitudes (Melo et al. 2018), policy analysis (Ge et al. 2018), and fundamental ABM methodology (Ge and Polhill 2018, Polhill et al. 2019). These efforts, all of which engage with core artificial intelligence themes as well as through the use of supplementary quantitative methods such as multi-level modelling, represent important examples of the range of fields that her work contributes new knowledge to.

<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://environment.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p> <h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>