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 40 results for Bio-complexity RSS
The Biochronicity program conducts fundamental research aimed at improving battlefield medical interventions and combat performance by understanding the role and effects of time in and on human physiology and biological functions. Advances in the understanding of timing in biology could particularly benefit trauma care by expanding the window of opportunity for medical treatment and surgical intervention.
The Biological Control program seeks to support a wide range of potential Department of Defense (DoD) applications by establishing design and control principles that lead to reliable performance in biological systems. Leveraging technologies developed under this program will enable consistent operation of systems that combat biological threats; speed healing after physical trauma; and support military readiness by complementing the body’s natural defenses against emerging diseases.
The Biological Robustness in Complex Settings (BRICS) program aims to transform engineered microbial biosystems into reliable, cost-effective strategic resources for the Department of Defense (DoD), enabling future applications in the areas of intelligence, readiness, and force protection. Examples include the identification of the geographical provenance of objects; protection of critical systems and infrastructure against corrosion, biofouling, and other damage; sensing of hazardous compounds; and efficient, on-demand bio-production of novel coatings, fuels, and drugs.
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.