Defense Advanced Research Projects AgencyTagged Content List

Fundamental Physical Science

Pushing the boundaries of knowledge of the physical sciences

Showing 6 results for Fundamentals + Bio-complexity RSS
02/26/2016
Proposals to the Biological Control program (DARPA-BAA-16-17) are due April 29, 2016. The program seeks to build the foundations for multiscale control of biological systems.
02/07/2017
For decades scientists have wondered whether electromagnetic waves might play a role in intra- and inter-cell signaling. Researchers have suggested since the 1960s, for example, that terahertz frequencies emanate from cell membranes, but they’ve lacked the technology and tools to conduct reproducible experiments that could prove whether electromagnetic waves constitute purposeful signals for biological function—or if they’re merely background noise. With recent advances in technology and modeling, experiments may now be possible to test signaling hypotheses.
February 21, 2017 ,
Webcast
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is sponsoring a Proposers Day to provide information to potential proposers on the objectives of a Broad Agency Announcement (BAA) for the RadioBio program.
The Biological Control program seeks to support a wide range of potential Department of Defense (DoD) applications by enhancing understanding of the basic processes associated with biological network interactions, communication, and control. Leveraging technologies developed under this program would enable construction of systems that seek out and mitigate chemical and biological threats; lead to the development of novel biomaterials that increase the resilience of Navy ships and other DoD systems to biofouling; and support military readiness by synthesizing new pharmaceuticals to treat emerging diseases.
FunCC aims to uncover fundamental principles of resilient self-organized complex systems applicable to domains spanning autonomous systems to biological networks, the immune system, and ecosystems. The dynamics and evolution of complex collectives are explored using new frameworks that embrace agent heterogeneity, stochasticity, distributed control, and diffusion of (mis)information.