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This poster displays results from a project supported by an NSF grant to enhance interdisciplinary collaboration in civil and environmental engineering education. In its second year, part of the project focused on improving team science competencies within the core research group. Key activities included workshops on collaborative writing and grant writing best practices. The team attended a Science of Team Science (SciTS) workshop to refine collaboration skills and responded to the Teaming Readiness Survey, which revealed strengths in valuing expertise but identified areas for improvement, such as role clarity and effective communication. In addition, the team responded to a Social Network Analysis Survey that showcased a growing network of research ties, indicating a robust collaborative environment, particularly among Principal Investigators. The preliminary results highlight a development in the team’s effectiveness and psychological safety ratings, fostering trust and collaboration. The social network evolved from professional to social connections, with new members gradually integrating into the team. The research team concludes that focusing on collaborative skills and effective communication strengthens interdisciplinary collaboration in the changing scientific landscape.
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Privacy-Preserving and Diversity-Aware Trust-based Team Formation in Online Social Networks
As online social networks (OSNs) become more prevalent, a new paradigm for problem-solving through crowd-sourcing has emerged. By leveraging the OSN platforms, users can post a problem to be solved and then form a team to collaborate and solve the problem. A common concern in OSNs is how to form effective collaborative teams, as various tasks are completed through online collaborative networks. A team’s diversity in expertise has received high attention to producing high team performance in developing team formation (TF) algorithms. However, the effect of team diversity on performance under different types of tasks has not been extensively studied. Another important issue is how to balance the need to preserve individuals’ privacy with the need to maximize performance through active collaboration, as these two goals may conflict with each other. This research has not been actively studied in the literature. In this work, we develop a team formation (TF) algorithm in the context of OSNs that can maximize team performance and preserve team members’ privacy under different types of tasks. Our proposedPRivAcy-Diversity-AwareTeamFormation framework, calledPRADA-TF, is based on trust relationships between users in OSNs where trust is measured based on a user’s expertise and privacy preference levels. The PRADA-TF algorithm considers the team members’ domain expertise, privacy preferences, and the team’s expertise diversity in the process of team formation. Our approach employs game-theoretic principlesMechanism Designto motivate self-interested individuals within a team formation context, positioning the mechanism designer as the pivotal team leader responsible for assembling the team. We use two real-world datasets (i.e., Netscience and IMDb) to generate different semi-synthetic datasets for constructing trust networks using a belief model (i.e., Subjective Logic) and identifying trustworthy users as candidate team members. We evaluate the effectiveness of our proposedPRADA-TFscheme in four variants against three baseline methods in the literature. Our analysis focuses on three performance metrics for studying OSNs: social welfare, privacy loss, and team diversity.
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- Award ID(s):
- 2107450
- PAR ID:
- 10530314
- Publisher / Repository:
- ACM
- Date Published:
- Journal Name:
- ACM Transactions on Intelligent Systems and Technology
- ISSN:
- 2157-6904
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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This poster displays results from a project supported by an NSF grant to enhance interdisciplinary collaboration in civil and environmental engineering education. In its second year, part of the project focused on improving team science competencies within the core research group. Key activities included workshops on collaborative writing and grant writing best practices. The team attended a Science of Team Science (SciTS) workshop to refine collaboration skills and responded to the Teaming Readiness Survey, which revealed strengths in valuing expertise but identified areas for improvement, such as role clarity and effective communication. In addition, the team responded to a Social Network Analysis Survey that showcased a growing network of research ties, indicating a robust collaborative environment, particularly among Principal Investigators. The preliminary results highlight a development in the team’s effectiveness and psychological safety ratings, fostering trust and collaboration. The social network evolved from professional to social connections, with new members gradually integrating into the team. The research team concludes that focusing on collaborative skills and effective communication strengthens interdisciplinary collaboration in the changing scientific landscape.more » « less
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1145/3670411
