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LAS supports the Intelligence Community by transitioning research and discoveries from these collaborations to help analysts solve their most pressing challenges related to national security and technology, leading to better solutions for real-world problems.
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More than 90 percent of the work that LAS supports is unclassified, which means that it can draw from diverse talent and share discoveries widely. Much of the research has broad application, helping not just the Intelligence Community, but a variety of industries and institutions.
Collaboration is critical for success. Working at the intersection of mission and technology:.
LAS matches the analyst with industry and academic professionals with expertise in their area of interest. The teams contribute ideas, experiences, research, and discoveries, which, in turn, broaden the scope of potential solutions and considerations.
The Intelligence Community supports this collaboration because it believes analysts make more informed decisions with the insight of those in academia and industry working on similar challenges. North carolina nsa is engaged in research to better understand decision-making and sensemaking to support analytic techniques, tradecraft, and technical capabilities.
We also use expertise in the social sciences to understand problems of broad interest, like how influence campaigns are developed and executed. Teams of industry, academic, and government partners work side-by-side to enhance how analysts defend and protect the nation through integrated and innovative analysis.
Each calendar year, LAS funds multi-disciplinary teams of Academics and Industry Partners from many disciplines, including the social sciences, humanities, de, mathematics, engineering, statistics, computer science, and more. All of these fields help IC analysts better develop and apply key insights from the latest research and emerging technology.
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This document describes and provides examples of research and application areas of interest for the LAS, derived from a careful consideration of mission needs based on discussions with IC partners as well as the current expertise and interests of the LAS government staff. Deed to attract unique and qualified academic and industry partners, this event consists of an introductory session followed by an open discussion with LAS research and analysis staff.
Additional time for one-on-one meetings can also be scheduled. A few highlights from past collaborations :.
NC State was chosen for this partnership with the NSA due to its national leadership, expertise, and long history in data analytics along with its strong partnerships with industry, universities, and government agencies. Additionally, the geographic proximity to Research Triangle Parkmilitary installations, and other research universities offers a unique environment in creating research collaborations.
LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.
The Goal: LAS is engaged in research to better understand decision-making and sensemaking to support analytic techniques, tradecraft, and technical capabilities. Diversity of Teams: Each calendar year, LAS funds multi-disciplinary teams of Academics and Industry Partners from many disciplines, including the social sciences, humanities, de, mathematics, engineering, statistics, computer science, and more.
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Examples A few highlights from past collaborations : Improving security at the Rio Olympic games: The software FareWays connected information from bus and train services in real time, alerting officials to potential safety issues for athletes and attendees during an influx of government protests in Brazil. Gaining insight into terrorist attacks: Using forensic psychology to study the factors behind radicalization.
Filtering social media: Social Sifter was developed to detect malign foreign influencers and bots, identifying patterns and commonalities. Aligned with the ODNI and Information and Intelligence Strategic plans, LAS focuses on direct knowledge-sharing, training, and hands-on support to empower the analytic work force with the skills it needs to succeed in an ever-changing environment.
Why NC State?
Connect With Us LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis.