Defense Advanced Research Projects AgencyAbout UsOfficesInformation Innovation Office

Information Innovation Office (I2O)

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Modern society depends on information and information depends on information systems. Timely, insightful, reliable, and relevant information is essential, particularly for national security. To ensure information advantage for the U.S. and its allies, the Information Innovation Office (I2O) sponsors basic and applied research in three thrust areas: Symbiosis, Analytics, and Cyber. More

Highlights

Cyber Grand Challenge

Cyber Grand Challenge

DARPA’s Cyber Grand Challenge is a first-of-its-kind tournament designed to speed the development of automated security systems able to defend against cyberattacks as fast as they are launched.
DARPA Perspective on AI

DARPA Perspective on AI

DARPA's Information Innovation Office (I2O) has created a perspective on AI that describes the powerful new developments, current research challenges, and how DARPA is advancing the state of the art.
XAI is addressing the need for machine-learning systems able to explain their rationale, characterize their strengths and weaknesses, and convey an understanding of how they will behave in the future.

Explainable Artificial Intelligence

XAI is addressing the need for machine-learning systems able to explain their rationale, characterize their strengths and weaknesses, and convey an understanding of how they will behave in the future.

Tags

| Agency | Algorithms | Cyber | Data | Language | Networking | Processing | Programming |

 

Opportunities

To view a selective listing of solicitations posted by this office please visit the I2O Opportunities page, where you can further sort by topic.

Programs

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Automating Scientific Knowledge Extraction (ASKE)

Dr. Joshua Elliott
The Automating Scientific Knowledge Extraction (ASKE) program aims to develop technology to automate some of the manual processes of scientific knowledge discovery, curation and application. ASKE is part of DARPA's Artificial Intelligence Exploration (AIE) program, a key component of the agency’s broader AI investment strategy aimed at ensuring the United States maintains an advantage in this critical and rapidly accelerating technology area. More
| AI | Algorithms | Analytics | Data |

Big Mechanism

Dr. Joshua Elliott
Some of the systems that matter most to the Defense Department are very complicated. Ecosystems, brains and economic and social systems have many parts and processes, but they are studied piecewise, and their literatures and data are fragmented, distributed and inconsistent. It is difficult to build complete, explanatory models of complicated systems, and so effects in these systems that are brought about by many interacting factors are poorly understood. More
| AI | Automation | Data |

Brandeis

Dr. Joshua Baron
How can society responsibly reap the benefits of big data while protecting individual privacy? More
| Data | Privacy |

Building Resource Adaptive Software Systems (BRASS)

Dr. Sandeep Neema
Modern-day software operates within a complex ecosystem of libraries, models, protocols and devices. Ecosystems change over time in response to new technologies or paradigms, as a consequence of repairing discovered vulnerabilities (security, logical, or performance-related), or because of varying resource availability and reconfiguration of the underlying execution platform. When these changes occur, applications may no longer work as expected because their assumptions on how the ecosystem should behave may have been inadvertently violated. More
| Automation | Cyber | Resilience |

Causal Exploration of Complex Operational Environments (Causal Exploration)

Dr. Joshua Elliott
Over the last 15 years, the U.S. military has increasingly been called upon to face complex operational environments (OE) and diverse enemies. Such complex OEs require the actions of U.S. forces and host-nation or coalition partners to be based on a common holistic understanding of the OE (e.g., governments, population groups, security forces, and violent non-state actors) and, in particular, the causal dynamics that can manifest as unanticipated and often counter-intuitive outcomes. More
| Analytics | BMC2 | Forecasting |