Watch: Provost invites faculty to TIPs Fair and Reception March 21

The Office of the Provost will host an event March 21 to raise awareness of and share information about Trans-Institutional Programs (TIPs), one of the major initiatives of the Academic Strategic Plan. The TIPs Fair and Reception will be held in the Wond’ry from 4 to 6 p.m., and all interested faculty are invited to attend.

Faculty from several currently funded TIPs programs will showcase the progress they have made to date as well as their plans for future years. Attendees will learn about cross-campus collaborations centered on big ideas such as data science, next generation vaccines, LGBT policy and more.

The event is designed to bring additional awareness to the Trans-Institutional Programs (TIPs) initiative and to encourage broader participation among Vanderbilt faculty across the university. Members of the TIPs Council will be present to answer questions about the proposal process and best practices.

Light refreshments will be served, and pre-registration is encouraged.

Register for the TIPs Fair and Reception >>

Download a TIPS-Fair-Flyer 2019

 The TIPs programs participating in the fair are listed below:

  • Adaptive eBooks for Building Children’s Learning Skills
  • Biomedical Microscopy – Immersion, Innovation and Discovery (BioMIID) at VBC
  • Data Science Institute
  • Digital Cultural Heritage Research Cluster
  • Frist Center for Autism and Innovation
  • The Initiative for Personalized Microbial Discovery and Innovation
  • A Synchrotron-like X-ray Source for Structural Biology at Vanderbilt
  • Understanding Life One Cell at a Time
  • Vandy REACH: Putting Obesity Science to Work
  • VUSAT Initiative
  • Vanderbilt Microbiome Initiative
  • Vanderbilt Initiative for Interdisciplinary Geospatial Research
  • Vanderbilt Initiative for the Study of Antimicrobial Resistance
  • Vanderbilt Institute of Nanoscale Science and Engineering
  • Vanderbilt LGBT Policy Lab
  • Vanderbilt Program for Next Generation Vaccines – Integrating Structural Biology with Big Data