Facilitates translational methods development across the University of Colorado campuses and its affiliate Hospitals.
2020 CCTSI Translational Methods Program: Request for Applications (RFA)
The Colorado Clinical and Translational Sciences Institute (CCTSI) is pleased to announce this Request for Application (RFA) for the eighth year of the Translational Methods Program.
Applications submitted in response to this RFA must be focused on the development of translational methods and innovative technologies for clinical and translational research. Each application will address the development of a new assay, method or technology for a particular research project, which is currently not available at the CU Anschutz campus and CCTSI affiliated institutions. TM applications with two co-PIs, one for technology development and another for a scientific application, are especially encouraged to ensure future application and dissemination of newly developed technologies and methodologies. Funding of up to $20,000 is available for each application. This year, 5 applications will be awarded; from which one will be a Biostatistical Translational Methods grant and one for a Colorado State University-based PI/ collaboration.
Award Amount: up to $20,000
Award Duration: One year
Letters of Intent are due by: Monday, December 5th, 2019
Full Applications are due by: Monday, January 6th, 2020
Note: This RFA is separate from other CCTSI Pilot opportunities like the CO-Pilot, Community Engagement Pilot Program (CE-Pilot), and the Child and Maternal Health Pilot Program (CMH-Pilot). If your research focuses on pilot work with an established method, please consider these alternative options for pilot project funding.
PLEASE NOTE THAT THE SUBMISSION AND REVIEW PROCESS FOR THE TRANSLATIONAL METHODS PROGRAM HAS CHANGED AS BELOW.
The overall goal of the Translational Methods Program is to speed the development and application of new technologies or methodologies that will improve clinical and translational research but are presently lacking or not available for CCTSI members. The Translational Methods Program of the CCTSI is a series of one-year awards aiming to develop novel (non-existing) methods, technological platforms or analytical assays for Clinical and Translational Research. Cross-disciplinary and collaborative projects are encouraged. Awards are up to $20,000, and are contingent upon funding to the CCTSI from the National Center for Advancing Translational Science (NCATS), which is an institute of the National Institutes of Health (NIH).
The purpose of these awards is the development of innovative assays, devices, software, protocols, methodologies, or technologies, which will readily enhance clinical and translational research of CCTSI members. A detailed approach for a new technology development is required for each application; the application/ implementation component can also be included to the project, but not required. Collaborative projects between two teams – a technology-developing team and a technology application team – are encouraged, but not mandatory. Proposals, which utilize the institutional (CCTSI, UCCC etc.) state-of-the-art technology Cores or Biostatistical Epidemiology and Research Design (BERD) Core are highly encouraged. Projects, which are focused on validation of an existing technology, will not be accepted.
An alternative goal of the Translational Methods Program is to help a PI with a strong research question but no established method to find a co-PI with a strong technological background to complete an TM application. In this case, the PI should contact the CCTSI Translational Methods Program Chair
well in advance to help in identifying a potential technology-driven co-PI. For more information on previously awarded Translational Methods projects, please visit our Previous Awards.
For the Translational Methods Program, translational research is intentionally broadly construed and includes any basic (animal or laboratory), pre-clinical, clinical, behavioral, community-based, and population based translational research with promise to improve health. Five awards will be given this year, from which one will be for developing novel biostatistical methods and one for CSU-based applications.