Environmental models give us insight into human-environmental systems, and how human actions might lead to possible solutions of pressing environmental problems. CS research in Human-Computer Interaction and Intelligent System Design can help users to visualize, explore, and understand such information, especially in ‘situated’ settings, i.e. in the actual environments, through means of mobile computing and immersive (AR/VR) interface technology. Statistical research is key to quantifying and communicating model and simulation uncertainties to policy makers, scientists and the general public.
This seminar will provide students from computer science, environmental science and statistics with cross-disciplinary training, and explore how we use environmental models and communicate what these models do and their uncertainties, using emerging techniques from the fields of user-interface research and human-computer interaction, particularly those areas that deal with human factors and explainable or transparent models and algorithms.
Students will also learn skills to help them communicate and teach relevant skills in other settings - cross disciplinary teams, guest lectures, professional masters and undergraduate courses in their respective ‘home’ discipline