You are here

TYBALT: Transcending cYber Barriers with Automated Language Tracking

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: FA8650-19-C-6025
Agency Tracking Number: D2-2200
Amount: $1,497,910.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: SB171-009
Solicitation Number: 17.1
Timeline
Solicitation Year: 2017
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-05-08
Award End Date (Contract End Date): 2022-04-21
Small Business Information
319 1st Ave North Suite 400
Minneapolis, MN 55401
United States
DUNS: 103477993
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Sonja Schmer-Galunder
 Senior Research Scientist
 (415) 604-6293
 sgalunder@sift.net
Business Contact
 Harry B. Funk
Phone: (612) 578-7438
Email: hfunk@SIFT.net
Research Institution
N/A
Abstract

TYBALT (Transcending cYber Barriers with Automated Language Tracking) primary goal is the automatic detection of adverse intentions against US forces via publicly available information (PAI). Our “Intent to Act Adversely Detector” (ITAAD) is based on empirically-driven cognitive models linked to features detectable in the structure (rather than content) of written language: Integrative Complexity (IC) - a model reflecting the ability to integrate contradicting perspectives - and Moral Disengagement (MD) - a theory of linguistic strategies used when disengaging from one's own moral agency. During Phase II, we will build a fully functional ITAAD and validate and test the tool in lab studies as well as on real-world social media data. Equally important to this effort is the continuation of our ongoing discussions around commercial applications within the domain of cyber warfare, misinformation and hate speech with stakeholders at Silicon Valley technology companies.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government