Seminar: Using Social Network Analysis to Measure Team Development and Manage Complex Teams

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Jeni Cross
September 20, 2021
11:00AM - 12:30PM
Location
33 W. 11th Ave., Conference Room 101

Date Range
Add to Calendar 2021-09-20 11:00:00 2021-09-20 12:30:00 Seminar: Using Social Network Analysis to Measure Team Development and Manage Complex Teams \Dr. Jeni Cross, Director of the Institute for Research in the Social Sciences and professor of sociology at Colorado State University, will deliver a seminar entitled "Using Social Network Analysis to Measure Team Development and Manage Complex Teams." Social Network Analysis (SNA) can be a powerful tool for understanding how a group of people coalesces into a team. Dr. Cross will discuss the novel teaming readiness assessments her team developed for the Office of the Vice President for Research at Colorado State University. The talk will explore how SNA can be used to identify teams that are struggling, indicate what kinds of interventions might help the team coalesce, and document progress in team development. In addition, she will discuss the insights from network science on team management and organization.  About the speaker: Dr. Cross is a community sociologist working with large transdisciplinary teams on community engaged projects focused on transformational change and urban regenerative development. She has been researching the processes of team collaboration for the past two decades, including interagency coalitions for public health, green building design teams, and transdisciplinary science teams. Currently, Dr. Cross leads the Team Science Core for the Colorado Clinical and Translational Sciences Institute, where her group has developed a series of interactive workshops that build individual and team competencies for team science. She has earned awards for community engaged research for her projects working community partners, local government, and academic partners from various fields. Currently, she serves as a team science expert, providing team development and management guidance to several large, international team science projects working on diverse subjects from public health to biology to machine learning to urban sustainability. 33 W. 11th Ave., Conference Room 101 Translational Data Analytics Institute tdai@osu.edu America/New_York public
Description

\Dr. Jeni Cross, Director of the Institute for Research in the Social Sciences and professor of sociology at Colorado State University, will deliver a seminar entitled "Using Social Network Analysis to Measure Team Development and Manage Complex Teams."

Social Network Analysis (SNA) can be a powerful tool for understanding how a group of people coalesces into a team. Dr. Cross will discuss the novel teaming readiness assessments her team developed for the Office of the Vice President for Research at Colorado State University. The talk will explore how SNA can be used to identify teams that are struggling, indicate what kinds of interventions might help the team coalesce, and document progress in team development. In addition, she will discuss the insights from network science on team management and organization. 

About the speaker: Dr. Cross is a community sociologist working with large transdisciplinary teams on community engaged projects focused on transformational change and urban regenerative development. She has been researching the processes of team collaboration for the past two decades, including interagency coalitions for public health, green building design teams, and transdisciplinary science teams. Currently, Dr. Cross leads the Team Science Core for the Colorado Clinical and Translational Sciences Institute, where her group has developed a series of interactive workshops that build individual and team competencies for team science. She has earned awards for community engaged research for her projects working community partners, local government, and academic partners from various fields. Currently, she serves as a team science expert, providing team development and management guidance to several large, international team science projects working on diverse subjects from public health to biology to machine learning to urban sustainability.

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