Forecasted · Cooperative Agreement, Grant, Other, Procurement Contract
Request for Information (RFI): Community Influence on Human Judgment During Information Processing Tasks
Dept of the Army -- Materiel Command, Department of Defense
Key facts
Copied from the official Grants.gov record. Last verified October 30, 2026.
- Program name
- Request for Information (RFI): Community Influence on Human Judgment During Information Processing Tasks
- Issuing agency
- Dept of the Army -- Materiel Command (Department of Defense)
- Opportunity number
- DEVCOM-ARL-RFI-24-01-HC
- Funding type
- Cooperative Agreement, Grant, Other, Procurement Contract
- Funding purpose
- Other — Request for Information Only
- Status
- Forecasted
- Application deadline
- Forecasted · estimated close January 17, 2024 (agency estimate)
- Published award range
- Not published by the agency
- Cost sharing or match required
- No
- Eligible applicants (official categories)
- Others (see Additional Information on Eligibility)
- Relevant to
- Neither businesses nor nonprofits are listed
- Geographic restrictions
- None stated in structured data (federal opportunities are often nationwide). Check the eligibility details and full announcement for any limits.
- Assistance Listing (CFDA)
- 12.431
- Official source
- View on Grants.gov ↗
- Application URL
- www.grants.gov/search-results-detail/350730 ↗Apply through Grants.gov (Workspace) using the application package on the official listing, unless the full announcement names a different submission system.
- Source identifier
- Grants.gov opportunity ID 350730 · Funding opportunity number DEVCOM-ARL-RFI-24-01-HC
- Posted
- October 25, 2023 · Source last updated November 29, 2023
- Last verified
- October 30, 2026 (against Grants.gov)
- Data completeness
- 92% of key fields published by the sourceNot published: published funding range.
- Record confidence
- mediumforecast — dates and amounts are agency estimates.
Eligibility details (from the agency)
Request for Information Only
Description (from the official listing)
This is a Request for Information (RFI) issued solely for information and planning purposes and does not constitute a solicitation. Respondents are advised that the Army Research Lab (ARL) is under no obligation to acknowledge receipt of the information received or provide feedback to respondents with respect to any information submitted under this RFI.Responses to this notice are not offers and cannot be accepted by the Government to form a binding contract. Respondents are solely responsible for all expenses associated with responding to this RFI. ARL will not provide reimbursement for costs incurred in responding to this RFI. It is the respondent's responsibility to ensure that the submitted material has been approved for public release by the information owner.The Government does not intend to award a contract on the basis of this RFI or to otherwise pay for the information solicited, nor is the Government obligated to issue a solicitation based on responses received. Neither proprietary nor classified concepts or information should be included in the submittal.The Army Research Laboratory (ARL) is seeking information on interdisciplinary theories and models for collective influences on human judgment during information processing tasks and prior to collective decision making. This RFI is issued for planning purposes only, and it does not constitute a formal solicitation for proposals or suggest the procurement of any material, data sets, etc. The following sections of this announcement contain details on the specific scientific areas of interest, along with…
Read the full description
This is a Request for Information (RFI) issued solely for information and planning purposes and does not constitute a solicitation. Respondents are advised that the Army Research Lab (ARL) is under no obligation to acknowledge receipt of the information received or provide feedback to respondents with respect to any information submitted under this RFI.Responses to this notice are not offers and cannot be accepted by the Government to form a binding contract. Respondents are solely responsible for all expenses associated with responding to this RFI. ARL will not provide reimbursement for costs incurred in responding to this RFI. It is the respondent's responsibility to ensure that the submitted material has been approved for public release by the information owner.The Government does not intend to award a contract on the basis of this RFI or to otherwise pay for the information solicited, nor is the Government obligated to issue a solicitation based on responses received. Neither proprietary nor classified concepts or information should be included in the submittal.The Army Research Laboratory (ARL) is seeking information on interdisciplinary theories and models for collective influences on human judgment during information processing tasks and prior to collective decision making. This RFI is issued for planning purposes only, and it does not constitute a formal solicitation for proposals or suggest the procurement of any material, data sets, etc. The following sections of this announcement contain details on the specific scientific areas of interest, along with instructions for the submission of responses.Background and Scope:During information processing tasks, the formation of judgments on the utility of information from a wide variety of sources by analysts (working alone or in teams) is influenced by (a) other people in their networks, (b) the available information they consume, (c) potential interactions with virtual agents, and (d) their own internal predispositions based on background, training, and values. These analysts’ capabilities and performance on such tasks can be expanded and augmented through intelligent systems or information agents leveraging technologies such as Large Language Models (LLMs) or through additional information gained from social media and social networking platforms. However, such human-agent teaming approaches can lead to the emergence of new biases and challenges surrounding the reliability of such judgments made to accept/reject each piece of information being processed. These phenomena reside at the conscious and subconscious levels, further expounding the challenges to understand their impact on judgment formation.This RFI seeks to elicit interdisciplinary perspectives on the judgment formation process in the context of analysts being embedded in larger communities and inundated with algorithmically driven information.
Agency contact
Dr. Edward T. Palazzolo Program Manager: Social and Cognitive Networks Humans in Complex Systems DEVCOM ARL Army Research Office Dr. Robert St. Amant Program Manager: Knowledge Systems Military Information Sciences DEVCOM ARL Army Research Office
ARL-CIHJ-RFI@army.mil