Loading Events

« All Events

  • This event has passed.

Designing and Managing Cross-Sector Interdisciplinary R&D Programs and Projects For Success

Jul 12, 2017 @ 1:00 pm - 2:30 pm

Beverly Tyler

Designing and Managing Cross-Sector Interdisciplinary R&D Programs and Projects For Success





Beverly Tyler (Poole College of Management) will present a conceptual model she and a colleague have developed and ask those attending the WRM to weight the factors in the model and provide feedback on causal relationships.  The conceptual model is based on fundamental concepts of the dynamic capabilities resource-based view—path dependency, social complexity, and causal ambiguity— team management, and team science literatures.  This model links funding source’s initial structuring of interdisciplinary R&D projects with the team’s evolving work processes and emergent cultural states to enhance the development of team knowledge meshing capabilities, which ultimately impact team performance outcomes.  Innovation to solve major societal problems in healthcare and security will require the collaboration of scientists across multiple sectors, organizations, and disciplines.  Please attend and share with Beverly your perceptions of the factors that are key for successful radical innovation in such projects.


View Abstract

We are going to use the NC State WebEx for the web conference. Please note that this
WebEx belongs to NC State and can not be downloaded directly from Cisco.
Also, it should work on iPhones and iPads via the WebEx App.
A good internet connection is recommended.
For better audio, please join via computer and then have the meeting call your number
or call in directly using one of the numbers below. When not speaking, please mute
your phone to avoid background noise.
When it’s time, join the WebEx meeting from here:
Audio Connection: 919-513-9329 (WolfMeeting)
Access Code: 997 998 592

Sponsored by the Laboratory for Analytic Sciences


Jul 12, 2017
1:00 pm - 2:30 pm

Connect With Us

LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.

If you would like to sign up for our email distribution list, please fill out this form: