معرفی
Dr. Richard Gunton is a Senior Lecturer in Data Science at Queen Mary University of London, affiliated with the School of Physical and Chemical Sciences. He holds a PhD from the University of Leeds and an MA from the University of Cambridge. His research spans environmental ethics, sustainability, ecological modeling, and the philosophy of data science. Gunton has held roles at institutions including the University of KwaZulu-Natal, Charles Darwin University, and the Centre for Evaluation of Complexity Across the Nexus (CECAN). He is a Fellow of the Royal Statistical Society and the International Society for Science and Religion.
Education background includes a PhD in Ecology (Leeds) and MA in Plant Sciences (Cambridge). His work bridges quantitative and qualitative methods, focusing on policy evaluation frameworks like the Pluralistic Evaluation Framework (PEF) and the role of AI in scientific research and education. Key interests include sustainability transitions, intercultural value systems, and the ethical implications of environmental decision-making.
- Teaching: AI and Statistical Data Analysis, Quality-Driven Development, Software Development and Quality.
- External roles: External examiner at Middlesex University and member of the Digital Environment Research Institute.
Gunton’s research emphasizes pragmatic solutions to sustainability challenges, integrating ecological, economic, and ethical dimensions. His publications address topics like transformative food systems, financial market dynamics, and the objectivity of scientific inquiry. He actively engages in interdisciplinary collaborations and public outreach to communicate complex ideas accessibly.
