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Shaowen Wang

2019

Yaping Cai, Kaiyu Guan, David Lobell, Andries B. Potgieter, Shaowen Wang, Jian Peng, Tianfang Xu, Senthold Asseng, Yongguang Zhang, Liangzhi You, and Bin Peng (2019): Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches, Agricultural and Forest Meteorology, Elsevier B.V., Vol 274, pp144-159

2016

Yan Y. Liu, Wendy K. Tam Cho, and Shaowen Wang (2016): PEAR: A Massively Parallel Evolutionary Computation Approach for Political Redistricting Optimization and Analysis, Swarm and Evolutionary Computation, Elsevier BV, Vol 30, pp78-92

2015

Yan Y. Liu, Wendy K. Tam Cho, and Shaowen Wang (2015): A Scalable Computational Approach to Political Redistricting Optimization, ACM Press, XSEDE '15: Proceedings of the 2015 XSEDE Conference on Scientific Advancements Enabled by Enhanced Cyberinfrastructure, pp6:1, St Louis, Missouri, U.S.A.
Yan Y. Liu and Shaowen Wang (2015): A Scalable Parallel Genetic Algorithm for the Generalized Assignment Problem, Parallel Computing, Elsevier BV, Vol 46, pp98-119

2018

Larry Di Girolamo, John Towns, Shaowen Wang, Guangyu Zhao, Kent Yang, Yan Liu (2018): The Terra Data Fusion Project, 2018 Blue Waters Annual Report, pp86-87

2015

Shaowen Wang (2015): An Extreme-Scale Computational Approach to Redistricting Optimization, 2015 Blue Waters Annual Report, pp182-185
Shaowen Wang: Scalable CyberGIS Analytics for Solving a Complex Spatial Optimization Problem
Blue Waters Symposium 2015, May 13, 2015

Supercomputers vs. gerrymandering: Data could be the next key to creating fair state voting districts


Apr 10, 2017

For nearly as long as the Unites States has existed there have been partisan hacks trying to draw up voting districts in a way that gives one political party an unfair advantage over the other. Though judges acknowledge that this partisan gerrymandering occurs, and that it can be unconstitutional, there’s hasn't yet been a definitive way for them to decide whether a district has been egregiously engineered to politically neuter voters of an opposing party. Indeed, as recently as 2004, the U.S. Supreme Court acknowledged that measuring how much political influence on redistricting is too much is an “unanswerable question.” But thanks to the power of algorithms and the latest supercomputing powers, new methods are arising that can help answer this unanswerable question. These methods played a role in November in convincing a three-judge panel to invalidate Wisconsin’s district assembly maps. The U.S. Supreme Court is expected to issue a final ruling this fall, and if the decision is upheld it would be a victory for political and social scientists, and it may finally give judges reliable methodologies to help decide if voting districts have been unfairly drawn.


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How to Quantify (and Fight) Gerrymandering


Apr 4, 2017

Partisan gerrymandering — the practice of drawing voting districts to give one political party an unfair edge — is one of the few political issues that voters of all stripes find common cause in condemning. Voters should choose their elected officials, the thinking goes, rather than elected officials choosing their voters. The Supreme Court agrees, at least in theory: In 1986 it ruled that partisan gerrymandering, if extreme enough, is unconstitutional. Yet in that same ruling, the court declined to strike down two Indiana maps under consideration, even though both “used every trick in the book,” according to a paper in the University of Chicago Law Review. And in the decades since then, the court has failed to throw out a single map as an unconstitutional partisan gerrymander. “If you’re never going to declare a partisan gerrymander, what is it that’s unconstitutional?” said Wendy K. Tam Cho, a political scientist and statistician at the University of Illinois, Urbana-Champaign.


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Blue Waters Symposium a success


May 28, 2014

The symposium, held May 13-15 in Champaign, Ill., gathered many of the country’s leading supercomputer users to share what they have learned using Blue Waters and discuss the future of supercomputing. On May 13, 2014, Blue Waters supercomputer users and many of the NCSA staff who support their work converged in Champaign, Ill., for the second annual Blue Waters Symposium. The ensuing three days were filled with what many of them would later refer to as a wonderful variety of science talks and opportunities for networking and collaboration.


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22 Illinois projects receive time on Blue Waters


Jun 11, 2013

The University of Illinois at Urbana-Champaign has awarded access to the Blue Waters supercomputer—which is capable of performing quadrillions of calculations every second and of working with quadrillions of bytes of data—to 22 campus research teams from a wide range of disciplines. The computing and data capabilities of Blue Waters, which is operated by the National Center for Supercomputing Applications (NCSA), will assist researchers in their work on understanding DNA, developing biofuels, simulating climate, and more.


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