Note: This is a Forecasted Opportunity.

General Information Document Type: Grants Notice Chance Number: DEVCOM-ARL-RFI-24-01-HC Opportunity Title: Request for Information (RFI): Community Influence on Human Judgment During Information Processing Tasks Opportunity Category: Other Opportunity Category Explanation: Other Funding Instrument Type: Cooperative AgreementGrantOtherProcurement Contract Category of Funding Activity: Other (see text field entitled "Explanation of Other Category of Funding Activity" for clarification) Category Explanation: Request for Information Only Expected Number of Awards: Assistance Listings: 12.431 -- Basic Scientific Research Cost Sharing or Matching Requirement: No Version: Forecast 2 Forecasted Date: Oct 25, 2023 Last Updated Date: Nov 29, 2023 Estimated Post Date: Estimated Application Due Date: Jan 17, 2024 Estimated Award Date: Estimated Project Start Date: Fiscal Year: 2024 Archive Date: Estimated Total Program Funding: Award Ceiling: Award Floor: Eligibility Eligible Applicants: Others (see text field entitled "Additional Information on Eligibility" for clarification) Additional Information on Eligibility: Request for Information Only Additional Information Agency Name: Dept of the Army -- Materiel Command 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.

Link to Additional Information: Grantor Contact Information: 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 Contact By Email Technical Point of Contact

📌 Request for Information (RFI): Community Influence on Human Judgment During Information Processing Tasks (Kottayam)
🏢 The Warfighter Research Foundation
📍 Kottayam