The goal of the TIC Program is to develop and demonstrate split-manufacturing, a new approach to chip fabrication where security and intellectual property protection can be assured. The semiconductor industry has been advancing rapidly with aggressive scaling. Extending beyond the Moore’s Law of digital processing and storage integrated circuits,...
STONESOUP develops and demonstrates comprehensive, automated techniques that allow end users to securely execute software without basing risk mitigations on characteristics of provenance that have a dubious relationship to security. Existing techniques to find and remove software vulnerabilities are costly, labor-intensive, and time-consuming. Many...
IARPA started the Security and Privacy Assurance Research (SPAR) Program in 2011, building on the past IARPA Automatic Privacy Protection (APP) Program. SPAR’s program goals are to develop 1) prototype implementations of efficient cryptographic protocols for querying a database that keep the query confidential, yet still allow the database owner...
SLiCE focuses on enhancing geolocation in complex environments primarily from long standoff receivers. The challenges addressed include low signal power, emitter motion, multipath propagation, and dense interference environments.
The goal of the Sirius Program is to create Serious Games to train participants and measure their proficiency in recognizing and mitigating the cognitive biases that commonly affect all types of intelligence analysis. The research objective is to experimentally manipulate variables in Virtual Learning Environments (VLE) to determine whether and how...
SHO is creating technology to enable full-parallax, full-color, high-resolution display of dynamic 3D data without head-gear, and possessing visually continuous perspectives without artifacts over wide viewing angles. SHO will deliver workstation prototypes with interactive applications to enhance analyst effectiveness on real and fused 3D data of ...
Adaptive reasoning and problem-solving are increasingly valuable for information-oriented workplaces, where inferences from sparse, voluminous, or conflicting data must be drawn, validated, and communicated—often under stressful, time-sensitive conditions. In such contexts, one’s ability to accurately update one’s mental models, make valid...
The Socio-cultural Content in Language (SCIL) Program intends to explore and develop novel designs, algorithms, methods, techniques and technologies to extend the discovery of the social goals of members of a group by correlating these goals with the language they use. Language is used to do more than share information; people use it to reflect and...
Starting from the premise that Real World (RW) characteristics are reflected in VW behavior, the IARPA Reynard program sought to identify behavioral indicators in VWs and MMOGs that are related to the RW characteristics of the users. Performers in the Reynard program were expected to produce one or more VW behavioral indicators that serve to identi...
The OSI Program aims to develop methods for continuous, automated analysis of publicly available data in order to anticipate and/or detect significant societal events, such as political crises, humanitarian crises, mass violence, riots, mass migrations, disease outbreaks, economic instability, resource shortages, and responses to natural disasters....
The IARPA Quantum Computer Science (QCS) Program explores questions relating to the computational resources required to run quantum algorithms on realistic quantum computers. Any implementation of a quantum algorithm requires not only programming the algorithm at a logical level but also the incorporation of error correction and control schemes at ...
The Multi-Qubit Coherent Operations Program aims to resolve the technical challenges involved in fabricating and operating multiple qubits in close proximity. The main themes of the program include qubit fabrication and yield; cross talk within the multi-qubit system; incorporation of the controls necessary to operate multiple qubits; coupling qubi...
For decision makers to be effective in a world of mass communication and global interaction, they must understand the shared concepts and worldviews of members of other cultures of interest. Recognizing cultural norms is a significant challenge, however, because they tend to be hidden. Even cultural natives have difficulty defining them because the...
Past research has shown that publicly available data can accurately forecast societal events such as civil unrest and disease outbreaks. For example, DOD’s Integrated Crisis Early Warning System (ICEWS) and IARPA’s Open Source Indicators (OSI) have developed methods to forecast societal events using structural data, news feeds, blogs, web searc...
When making sense of intelligence data, analysts rely on rich repertoires of conceptual knowledge to resolve ambiguities, make inferences, and draw conclusions. Conceptual knowledge refers to knowledge about the general properties of an entity (e.g., an apple is edible) as well as its relationships to other entities (e.g., an apple is associated...
The objective of KDD is to enable analysts to quickly produce actionable intelligence from multiple, disparate data sources, including new, unanticipated data sets that become available to analysts. To meet this objective, KDD has developed multiple solutions to the challenges of large-scale data alignment efforts and advanced analytics c...
Sensemaking refers to the remarkable human ability to detect patterns in data, and to infer the underlying causes of those patterns - even when the data are sparse, noisy, and uncertain. The focus of the ICArUS Program is to understand and model how humans engage in the sensemaking process, both during optimal and suboptimal (biased) performance. O...
The Intelligence Surveillance and Reconnaissance (ISR) role for UAVs is dependent upon the ability of the UAV to do its mission without the adversary being able to counter it. For many such ISR applications, the acoustic signature of the UAV alerts the adversary to the UAVs presence and can interfere with the mission. Battery powered UAVs are very ...
Today, the identification and assessment of emerging technical capabilities is a time-consuming, domain-specific, and expert-intensive process. This demanding process is often carried out under severe time constraints on either too much or too little data, with limited reproducible auditing and bias controls, and with limited systematic validation ...
The goal of the ForeST Program is to develop and test methods for generating accurate forecasts for significant science and technology (S&T) milestones, by combining the judgments of many experts. The ForeST Program seeks technical innovations in the following areas: a) efficient elicitation and aggregation of judgments using combinatorial pred...
