Lars Hansen

2017

Yongyang Cai, Kenneth Judd, and Jevgenijs Steinbuks (2017): A Nonlinear Certainty Equivalent Approximation Method for Dynamic Stochastic Problems, Quantitative Economics, The Econometric Society, Vol 8, Num 1, pp117-147
Sevin Yeltekin, Yongyang Cai, and Kenneth L. Judd (2017): Computing Equilibria of Dynamic Games, Operations Research, Institute for Operations Research and the Management Sciences (INFORMS), Vol 65, Num 2, pp337--356

2016

Yongyang Cai, Timothy M. Lenton, and Thomas S. Lontzek (2016): Risk of Multiple Interacting Tipping Points Should Encourage Rapid CO2 Emission Reduction, Nature Climate Change, Nature Publishing Group, Vol 6, Num 5, pp520-525

2015

Thomas S. Lontzek, Yongyang Cai, Kenneth L. Judd, and Timothy M. Lenton (2015): Stochastic Integrated Assessment of Climate Tipping Points Indicates the Need for Strict Climate Policy, Nature Climate Change, Nature Publishing Group, Vol 5, Num 5, pp441-444
Yongyang Cai, Kenneth L. Judd, Timothy M. Lenton, Thomas S. Lontzek, and Daiju Narita (2015): Environmental Tipping Points Significantly Affect the Cost-Benefit Assessment of Climate Policies, Proceedings of the National Academy of Sciences, National Academy of Sciences, Vol 112, Num 15, pp4606-4611

2014

Y. Cai, J. Steinbuks, J. W. Elliott, and T. W. Hertel (2014): The Effect of Climate and Technological Uncertainty in Crop Yields on the Optimal Path of Global Land Use, The World Bank Group, Policy Research Working Paper, Vol 1, Num WPS7009

2017

Lars Hansen and Yongyang Cai (2017): Policy Responses to Climate Change in a Dynamic Stochastic Economy, 2017 Blue Waters Annual Report, pp252-253

2016

Lars Hansen (2016): Policy Responses to Climate Change in a Dynamic Stochastic Economy, 2016 Blue Waters Annual Report, pp256-257

2015

Lars Hansen (2015): Policy Responses to Climate Change in a Dynamic Stochastic Economy, 2015 Blue Waters Annual Report, pp178-180

NCSA releases 2017 Blue Waters Project Annual Report Detailing Innovative Research and Scientific Breakthroughs


Sep 1, 2017

The National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign released today the 2017 Blue Waters Project Annual Report. For the project’s fourth annual report, research teams were invited to present highlights from their research that leveraged Blue Waters, the National Science Foundation’s (NSF) most powerful system for sustained computation and data analysis. Spanning economics to engineering, geoscience to space science, Blue Waters has accelerated research and impact across an enormous range of science and engineering disciplines throughout its more than 4-year history covered by the report series. This year is no different.


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Great Lakes Consortium awards access to Blue Waters supercomputer to 11 research projects


Jun 2, 2016

How the flu virus enters a cell in the body. Evaluating economic policy impacts of potential future climate change. Understanding the dynamics and physics of atomic matter during galaxy cluster formation. These are just a few of the research projects being pursued by the 11 science and engineering teams from across the country who were awarded time on the Blue Waters supercomputer through the Great Lakes Consortium for Petascale Computation. Over a twelve-month period, these science and engineering teams will have a combined total of more than 4.3 million node hours on Blue Waters.


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Great Lakes Consortium awards Blue Waters resources to 9 research teams


Mar 13, 2015

Nine research teams from a wide range of disciplines have been awarded computational and data resources on the Blue Waters supercomputer at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. Blue Waters is one of the world’s most powerful supercomputers, capable of performing quadrillions of calculations every second and working with quadrillions of bytes of data. Its massive scale and balanced architecture enable scientists and engineers to tackle research challenges that could not be addressed with other computing systems.


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