Defense Advanced Research Projects AgencyTagged Content List

Apply Biological Complexity at Scale

Relating to insights that can be derived from examining living-system dynamics at an enormous range of spatial, physical and temporal scales

Showing 34 results for Bio-complexity RSS
Military readiness and national security depend on the health and wellbeing of military servicemembers. DoD’s cumulative investment in personnel comprises the second-largest share of the total defense budget. As such, DoD seeks advances in healthcare to ensure warfighters can operate at peak performance. In this context, the Biochronicity program will explore the role of time in biological functions in pursuit of breakthroughs in managing the effects of time on human physiology.
The Biological Control program seeks to build new capabilities for the control of biological systems across scales—from nanometers to centimeters, seconds to weeks, and biomolecules to populations of organisms—using embedded controllers made of biological parts to program system-level behavior.
The Biological Robustness in Complex Settings (BRICS) program seeks to develop the fundamental understanding and component technologies needed to engineer biosystems that function reliably in changing environments. A long-term goal is to enable the safe transition of synthetic biological systems from well-defined laboratory environments into more complex settings where they can achieve greater biomedical, industrial, and strategic potential.
Deep Purple aims to advance the modeling of complex dynamic systems using new information-efficient approaches that make optimal use of data and known physics at multiple scales. The program is investigating next-generation deep learning approaches that use not only high throughput multimodal scientific data from observations and controlled experiments (including behaviors such as phase transitions and chaos), but also of the known science of such systems at whatever scales it exists.
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.