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A13: Aptimas Advanced Automated Approach Aimed At Author-Artifact Attribution And Assessing Author Ambitions

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56KGU-18-C-0023
Agency Tracking Number: A181-054-0425
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A18-054
Solicitation Number: 2018.1
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-08-17
Award End Date (Contract End Date): 2019-01-17
Small Business Information
12 Gill Street
Woburn, MA 01801
United States
DUNS: 967259946
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Brent Fegley
 (321) 710-3209
Business Contact
 Thomas McKenna
Phone: (781) 496-2443
Research Institution

Human social interaction is complicated by ambiguous identities, misinformation, misdirection, and flexible alliances. Additionally, thanks to the internet, authors can post messages from anywhere in the world, in diverse forms, and with different personas. Current solutions are challenged to accurately identify and characterize authors across platforms and data types, let alone infer authorial intent. To address this shortcoming, Aptima and its partners at The Pennsylvania State University Applied Research Laboratory propose a system to aid the intelligence analyst in identifying actors and their ambitions over time, data type, and domain. The system will rely on an ensemble of automated algorithms and techniques in machine learning, information theory, and algebraic topology to extract features from digital artifacts and match those features to one another by similarity metric. Interactive graphical and tabular representations will make authors, intents, and their intersection comprehensible. The system will integrate with other systems across domains in real-time; its modular structure will allow the addition and enhancement of functionality with minimal, if any, disruption to downstream pipelined processes. In summary, the system is intended as an essential tool for those whose business depends on understanding the implications of human social interaction, despite its vagaries.

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

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