Researchers at the Department of Energy’s Pacific Northwest National Laboratory (PNNL) have developed new software that helps identify anomalies in complex financial data, in hopes of detecting problematic financial trends that jeopardize U.S. and global financial systems. It’s a great example of the kinds of research opportunities at the intersection of computer science and finance. From the official DoE press release: Identifying atypical information in financial data early could help identify problematic financial trends such as the systemic risk that recently put the U.S. and global financial systems in a downward fall. Recognizing such anomalous information can also help regulators, investors and advisors better manage their investment and savings portfolios. […]
Computing Community Consortium Blog
The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.
Archive for October 31st, 2011
