Work With Us

Collaboration is the heart of LAS, and we are always looking for new partners.  We strive to bring together multidisciplinary teams that incorporate the best of government, industry, and academia to develop tools that are informed by mission needs and advance the state of the art in analytics. We do this by validating new tools and methodologies against practical mission challenges.  We work by using unclassified mission-driven exemplars that also have applicability to academic and commercial partners and link these mission exemplars to IC corporate goals, strategies, and requirements.  We augment these project teams with IC researchers and analysts, who work full time on-campus at NC State, to work hand-in-hand with team members to deliver mission-relevant solutions to better support today’s intelligence analysts.  

If you want to work with us, we invite you to participate in our yearly Call for Projects.  In early June, we plan to release our Description of 2019 Projects and Process detailing the proposed projects for the following year.  In mid-June, we will host our annual Collaborators Day on NC State’s Centennial Campus, where we will give an overview of LAS and the white paper solicitation process.  During this event, we will brief our candidate projects and each technical lead will each give a short presentation on the upcoming projects and the focus areas within them. Technical leads and LAS leadership will also be available for you to ask specific questions. If you would like to be notified when this goes out, please fill out the information under Connect With Us below.   

White papers for the 2019 Call for Projects will be due in late July.

If you would like to send an unsolicited white paper ahead of the upcoming Call for Projects, please feel free to submit directly to Matt Schmidt, Director of Programs at mcschmid@ncsu.edu, however there should be no expectation that you will receive feedback.

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. 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.

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