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1. Work in Progress: Fostering Team Science in an Engineering Education Research Team

   Valdes-Vasquez, R; Sanford, K L; Paige, F; Parker, P J (June 2024, ASEE)

   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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2. Work in Progress: Fostering Team Science in an Engineering Education Research Team

   Valdes-Vasquez, R; Sanford, K L; Paige, F; Parker, P J (June 2024, American Society for Engienering Education)
3. Modeling Team Cognition in Emergency Response via Naturalistic Observation of Team Interactions

   https://doi.org/10.1177/1541931218621408  

   Moon, Jukrin; Sasangohar, Farzan; Peres, S. Camille; Neville, Timothy J.; Son, Changwon (September 2018, Proceedings of the Human Factors and Ergonomics Society Annual Meeting)
4. Board 431: Work in Progress: Fostering Team Science in an Engineering Education Research Team

   Valdes-Vasquez, Rodolfo; Sanford, Kristen L; Paige, Frederick; Parker, Philip J (June 2024, American Society for Engineering Education)

   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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5. explaining team recommendation in networks

   https://doi.org/10.1145/3240323.3241610  

   Zhou, Qinghai; Li, Liangyue; Cao, Nan; Buchler, Norbou; Tong, Hanghang (January 2018, RecSys '18 Proceedings of the 12th ACM Conference on Recommender Systems)

   State-of-the-art in network science of teams offers effective recommendation methods to answer questions like who is the best replacement, what is the best team expansion strategy, but lacks intuitive ways to explain why the optimization algorithm gives the specific recommendation for a given team optimization scenario. To tackle this problem, we develop an interactive prototype system, Extra, as the first step towards addressing such a sense-making challenge, through the lens of the underlying network where teams embed, to explain the team recommendation results. The main advantages are (1) Algorithm efficacy: we propose an effective and fast algorithm to explain random walk graph kernel, the central technique for networked team recommendation; (2) Intuitive visual explanation: we present intuitive visual analysis of the recommendation results, which can help users better understand the rationality of the underlying team recommendation algorithm. 

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