James Rising
James is an interdisciplinary modeler, studying the feedback between environmental and human systems, and focusing on the impacts of climate change and the water-energy-food nexus. He draws upon analytical and empirical approaches from multiple fields and develops computational and statistical models to understand integrated global challenges.
Background
Prior to joining the Grantham Research Institute, James held postdoctoral positions at the Energy & Resources Group at UC Berkeley and the Energy Policy Institute at the University of Chicago. He received his Ph.D. from Columbia University’s program in Sustainable Development. He previously taught within MIT’s Experimental Study Group and at Franklin W. Olin College of Engineering. He has also had a career as a software developer, working with over a dozen companies on audio and video processing, social networks, and artificial intelligence.
Research Interests
- Social-Environmental Modeling
- Environmental and Resource Economics
- Water-Energy-Food Nexus
Research - 2019
Climate change will impact many economic sectors and aspects of natural and human wellbeing. Quantifying these impacts as they vary... Read more
Fish stocks are managed within national boundaries and by regional organizations, but the interdependence of stocks between these jurisdictions, especially... Read more
Water data play a crucial role in the development and assessment of sustainable water management strategies. Water resource assessments are... Read more
Research - 2018
A key goal of urban transportation planning is to provide people with access to a greater number of opportunities for... Read more
Abstract Integrated Assessment Models (IAMs) have become critical tools for assessing the costs and benefits of policies to reduce greenhouse... Read more
Policy - 2019
Economic assessments of the potential future risks of climate change have been omitting or grossly underestimating many of the most serious consequences for lives and livelihoods because these risks are difficult to quantify precisely and lie outside of human experience. This policy insight identifies and draws attention to these 'missing risks' and discusses how populations might fare in light of their potential to adapt in the face of these risks. Read more
