Dr. Siu is a lecturer in Environmental Risk Management at the Sustainability Research Institute within the School of Earth and Environment at the University of Leeds. She joined the School in December 1999 as an ESRC funded post-doctoral researcher focusing on development of quality audit tools for Science for environmental policy. She became a Senior Research Fellow in 2000 and was then appointed as Senior Teaching Fellow by the School in 2002. She became Lecturer in Environmental Risk Management in 2015.

Yim Ling has extensive research and work experience in interdisciplinary and multidisciplinary collaborations in the fields of energy, water, transport and the environment. Before joining the School, she had been at the Institute for Transport Studies at Leeds University working on various research projects, centring on land-based transport and the environment, in particular forecasting travel demands in relation to socio-economic changes, modelling new and used car prices and demand, monitoring traffic volumes via automated traffic counters, examining pedestrian safety via conflict studies and applying multimedia applications on transport surveys and data collection on the Internet. Before that she graduated and worked in the School of Geography of Leeds University, developing computer-based geographic information systems (GIS) models for use in the energy and water domains: energy resource modelling and planning, and water pollution and quality monitoring. She has a Ph.D. from the School of Geography in energy planning and modelling.

Qualifications

• Honours Diploma in Geography, Hong Kong Baptist University (formerly Hong Kong Baptist College);
• M.A. & Ph.D. in Human Geography, University of Leeds.

Memberships/Fellowships

Society for Risk Analysis

Research Interests

Risk analysis, environmental modelling and information systems, knowledge management, Internet-based environmental applications.

Yim Ling’s research interests focus on 3 primary areas:

1. risks, in particular environmental risk perception and decision-making based on system dynamics and knowledge management perspectives;
2. quality audit for science, in particular the knowledge divide between “public understanding of science” and “scientist’s understanding of the general public” based on deliberative-participatory, web-based approach;
3. environmental informatics and modelling, in particular developing multiple natural hazards risk assessment models and information systems for environmental risk analysis and assessment, based on geographic information system (GIS) and database applications.

Additionally, she has a keen interest in developing a new paradigm of risk analysis (or a meta-theory of risk) in view of providing a better theory to encompass and explain the highly complex, intricate and dynamic nature of risk (and its risk decisions and behaviour), particularly in relation to sustainable development in our modern societies.