LAS Collaborators Day

Join us for LAS Collaborators Day, June 20, 2018 at 1:00pm in the Hunt Library Auditorium on NC State University’s Centennial Campus.  Collaborators Day kicks-off the planning cycle for current and future academic and industry partners who would like to work with us in 2019. This event will open with a short overview of LAS, what we do, and how we work, followed by presentations that will outline the research challenges and application areas where LAS is interested in working in 2019. These presentations will be followed by breakout sessions where subject matter experts and LAS program managers will be available to answer your questions about project ideas and potential collaborations.

Registration is not required.  This event is free and open to the public.  For questions, please contact Matt Schmidt, the LAS Director of Programs, at mcschmid@ncsu.edu.

A livestream of the event can be found here.

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Description of 2019 Activities

LAS has released its Description of 2019 Activities. This document highlights four research challenges and a variety of mission-relevant applications that we would like to pursue in 2019. Also included are guidelines for how to submit a whitepaper and what should be included in it, as well as key dates along the way.  We will brief these activities and the solicitation process at Collaborators Day on June 20th.

The Description of 2019 Activities can be found here.

Collaborators Day Presentations

Thank you all for a successful Collaborators Day.  If you would like to view video of the event, click here.

 

 

James B. Hunt Jr. Library

The James B. Hunt Jr. Library is located on Centennial Campus.  Hourly parking is available in the following lots:

Parking fees are $2/hour. Parking spots are numbered, and there is a pay station that accepts debit and credit cards only (no cash).

Directions:
James B. Hunt Jr. Library

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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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