Human-Guided Machine Learning

The summary for the Human-Guided Machine Learning grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the Dept of the Army Materiel Command, which is the U.S. government agency offering this grant.

Human-Guided Machine Learning: **PLEASE REVIEW THE FULL SPECIAL NOTICE ATTACHMENT FOR COMPLETE RESEARCH GOALS AND SPECIAL NOTICE DETAILS**Answers to questions received by potential applicants:Q1. The announcement specifies 5 research areas. Do proposals have to address all 5 research areas or can they address just 1 or 2?A1. Proposals can be focused on 1 or more of the 5 research areas.Q2. Please confirm that only proposals should be submitted, with no white papers.A2. Correct, there is not a white paper process associated with this announcement. Only full proposals will be accepted and they must be submitted in response to this specific grants.gov special notice announcement.Q3. The regular BAA states that there is a page limitation for white papers of 7 pages. Is there a limit for proposals under this special notice?A3. No, there is no page count limit for proposals submitted against this special notice.The aim of this Special Notice under the Army Research Laboratory (ARL) Broad Agency Announcement (BAA) (W911NF-17-S-0003), under Grants.gov Opportunity W911NF-17-S-0003-SN-MACHINE-LEARNING, is to solicit research proposals related to the ARL BAA Topics, “KCI-HS-1: Robust Human and Machine Hybridization” and “CCE-HS-4: Humans in Multi-Agent Systems.” The Army is interested in collaborating on research efforts to further develop the field of human-guided machine learning in the following areas: novel forms of human-intelligent technology decision making; cybernetics; hybridized thinking between man and intelligent technology; human technological savvy, and human-intelligent technology teaming assessment tools.