Human-Guided Machine Learning
Sector: Forest Products and Packaging • Location: United States of America
Source: Grants.gov
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 proposal
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | **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. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
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