
Uncertainty quantification of socio-economic outcomes can be combined with scenario discovery techniques to explore a full range of outcomes and provide insight into associated likelihoods while also identifying individual scenarios of interest.
Uncertainty quantification of socio-economic outcomes can be combined with scenario discovery techniques to explore a full range of outcomes and provide insight into associated likelihoods while also identifying individual scenarios of interest.
New study reveals multiple pathways for a successful energy transition by 2050
Council of Economic Advisers/OMB white paper highlights MIT Joint Program's EPPA and USREP as model examples (pp. 25-26) (White House)
Key takeaways from the XLIV (44th) MIT Global Change Forum
Currently, there is no magic bullet for fossil fuels—no one energy technology that can provide a cheap and reliable alternative capable of supporting the world’s growing energy needs.
MIT Joint Program Deputy Director Sergey Paltsev explores technology and policy options at international energy symposium
Deputy Director Sergey Paltsev speaks on decarbonization pathways at international energy forum
Growing demand for an energy transition could move the needle, but not far enough
MIT Joint Program research scientists are co-investigators on one-third of the selected projects, with a focus on decarbonizing complex industries and preparing for climate extremes. (MIT News)
The MIT Joint Program uses MGHPCC computing resources to make projections of future risks to the sustainability of energy, food, water and climate systems under different policy scenarios (MGHPCC)
Joint Program Deputy Director Sergey Paltsev and other speakers call for rapid deployment of integrated strategies to meet global energy needs and mitigate climate change (MIT Energy Initiative)