HAYSTAC

Hidden Activity Signal and Trajectory Anomaly Characterization
HAYSTAC

Summary

HAYSTAC aims to develop novel capabilities that produce large-scale microsimulations of fine-grained human movement and create AI reasoning engines capable of both identifying abnormal movement trajectories and generating normal ones. Technical approaches will characterize what makes a given activity detectable within the exploding volumes of available human movement data, establishing the scientific foundation connecting data, movement, and the expectation of privacy.

Virtual Proposers' Day Information:

SAM.gov Reference

HAYSTAC Teaming Information (Compiled Submissions)

HAYSTAC Teaming Information (Blank Form)

Capabilities Statements and Lightning Talks:

AIS Capabilities Statement

Arete Capabilities Statement

Arete Lightning Talk

Deloitte Lightning Talk

EpiSci Science Lightning Talk

George Mason University Lightning Talk

IAI BlueHalo Lightning Talk

Improbable U.S. Defense & National Security Lightning Talk

IvySys Technologies Lightning Talk

Kitware, Inc Lightning Talk

MapLarge Lightning Talk

Novateur Research Solutions Lightning Talk

Peraton Labs Lightning Talk

Replica Lightning Talk

SoarTech Capabilities Statement

VISIMO Capabilities Statement


Contact Information

Program Manager

Dr. Jack Cooper

jack.cooper@iarpa.gov

301-243-2033

Broad Agency Announcement (BAA)

Link(s) to BAA

DOI-BAA-HAYSTAC-FY22-01

Solicitation Status

OPEN

Proposers' Day Date

March 22, 2022

BAA Release Date

May 13, 2022

Proposal Due Date

Friday, 01 July 2022