Synthetic Biology Project Receives Two National Science Foundation Grants
News Oct 08, 2009
The Wilson Center’s Synthetic Biology project recently received two grants from the National Science Foundation. One will support a Transatlantic Exploratory Workshop on the Implications of Cutting-Edge Biotechnologies for Sustainability Science and Policy, and the other will support research on the use of on-line prediction markets to explore emerging issues in synthetic biology.
The workshop will develop an EU-U.S. trans-disciplinary research agenda for synthetic biology with a special focus on sustainability. This research agenda will go beyond the disciplinary boundaries of synthetic biology to examine the broader questions of how synthetic biology can contribute to sustainable development, and to what extent synthetic biology poses challenges to sustainability itself.
“The workshop will explore a new and emerging research area at the intersection of synthetic biology, sustainability science, and the field of science, technology and society studies,” Wilson Center Public Policy Scholar Eleonore Pauwels said. The Wilson Center will collaborate with the University of Virginia on this project.
The second grant will explore the application of prediction markets-on-line markets designed to aid in the forecasting of events-to synthetic biology, an emerging area of science where a better understanding of future development and directions in the field could be of significant value to funders, policymakers, and researchers.
“Although on-line prediction markets have attracted significant interest from scholars and increasing application in corporate environments, little work has been done to apply these markets to critical issues in science and technology” said David Rejeski, director of the Synthetic Biology Project. “The NSF grant will allow us to tap into the latest research and thinking as we design, build, and test a prototype prediction market.”
Algorithm Predicts Life Expectancy After Heart AttackNews
A new algorithm developed by UCLA researchers more accurately predicts which people will survive heart failure, and for how long, whether or not they receive a heart transplant. The algorithm would allow doctors to make more personalized assessments of people who are awaiting heart transplants, which in turn could enable health care providers to make better use of limited life-saving resources and potentially reduce health care costs.
Computation and Chemistry Combine to Create World-First Auxetic ProteinNews
A team of chemists at the University of California, San Diego (UCSD) has now designed a two-dimensional protein crystal that toggles between states of varying porosity and density. This is a first in biomolecular design that combined experimental studies with computation done on supercomputers. The research, published in April 2018 in Nature Chemistry, could help create new materials for renewable energy, medicine, water purification, and more.
Algorithms Analyze Gut Microbiota to Predict Cholera RiskNews
Researchers have used machine learning algorithms to spot patterns within communities of bacteria living in the human gut that could predict cholera infection.READ MORE
Comments | 0 ADD COMMENT
World Congress on Bio-organic and Medicinal Chemistry
Nov 12 - Nov 13, 2018