| Literature DB >> 33948285 |
Kathryn Nearing1, Julie Rainwater2, Stacey Neves2, Pamela Bhatti3, Bruce Conway4, Nathaniel Hafer5, Kevin Harter6, Nicholas Kenyon7, Margaret M McManus5, Demetria M McNeal8, Elaine H Morrato9,10, Suhrud M Rajguru11, Molly Wasko12.
Abstract
INTRODUCTION: A key barrier to translation of biomedical research discoveries is a lack of understanding among scientists regarding the complexity and process of implementation. To address this challenge, the National Science Foundation's Innovation Corps™ (I-Corps™) program trains researchers in entrepreneurship. We report results from the implementation of an I-Corps™ training program aimed at biomedical scientists from institutions funded by the National Center for Advancing Translational Sciences (NCATS).Entities:
Keywords: Innovation Corps (I-Corps); evaluation; innovation; research commercialization; training
Year: 2020 PMID: 33948285 PMCID: PMC8057475 DOI: 10.1017/cts.2020.561
Source DB: PubMed Journal: J Clin Transl Sci ISSN: 2059-8661
Fig. 1.Innovation Corps (I-Corps) program development and key features.
Fig. 2.I-Corps@NCATS supplement sites.
Number and types of teams that participated in I-Corps@NCATS regional short courses
| UAB/Georgia Tech | University of Miami | University of California Davis | University of Colorado Anschutz Medical | University of Colorado | U-Mass | Penn State University | |
|---|---|---|---|---|---|---|---|
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| Jul 2018 to Aug 2018 | Aug 2018 to Aug 2018 | Sep 2018 to Oct 2018 | April 2018 to May 2018 | Oct 2018 to Nov 2018 | Oct 2018 to Nov 2018 | Jan 2019 to Mar 2019 |
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| 16 (9) | 14 (7) | 13 (10) | 9 (8) | 10 (10) | 12 (7) | 11 (11) |
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| 0 | 1 | 3 | 1 | 4 | 3 | 6 |
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| 1 | 1 | 4 | 0 | 0 | 2 | 3 |
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| 3 | 1 | 2 | 2 | 1 | 0 | 0 |
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| 2 | 0 | 1 | 1 | 1 | 0 | 1 |
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| 1 | 1 | 0 | 0 | 3 | 0 | 0 |
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| 0 | 0 | 0 | 4 | 1 | 1 | 0 |
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| 2 | 3 | 0 | 0 | 0 | 1 | 1 |
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Summary of I-Corps@NCATS Evaluation Instruments
| Evaluation Focus | I-Corps@NCATS Evaluation Tools | Description |
|---|---|---|
|
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| Participants completed the survey immediately following the training Finale |
| Includes 45 teams from all sites | ||
| Response rate: 78%–100% | ||
|
| Explored reasons for not completing the short course, with specific focus on fit and feasibility | |
| Includes 8 teams from UAB, Miami, UC Davis | ||
| Response rate: 43%–66% | ||
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| Team leads completed the survey 3–6 months following the training Finale | |
| Includes 35 teams from UAB, Miami, UC Davis, Colorado | ||
| Response rate: 57%–100% | ||
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| Used by evaluators to collect observations at Kick-off and Finale; direct observations were supplemented by collecting, reviewing, and archiving program artifacts |
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| Facilitated discussions were conducted 1–2 months following trainings to give key informants a time to reflect on their experience with program implementation |
Survey Response Rates by I-Corps@NCATS Site
| Site | Teams | Teams completing short | Post-surveys | Longitudinal | Non-completer teams |
|---|---|---|---|---|---|
| UAB/Emory/Georgia Tech | 16 | 9 | 7 (78%) | 7 (78%) | 3 (43%) |
| University of Miami | 14 | 7 | 6 (86%) | 4 (57%) | 3 (43%) |
| University of California Davis | 13 | 10 | 9 (90%) | 10 (100%) | 2 (66%) |
| University of Colorado (Spring) | 9 | 8 | 6 (75%) | 6 (75%) | N/A |
| University of Colorado (Fall) | 10 | 10 | 10 (100%) | 7 (70%) | N/A |
| U-Mass | 12 | 7 | 7 | N/A | N/A |
| Penn State University | 11 | 11 | 10 (91%) | N/A | N/A |
Eight responses were submitted to the survey, one team had two responses.
Average number of interviews and importance of the customer discovery process* (scale: 1 = not at all important; 5 = extremely important)
| UAB | UC Davis | Colorado (Spring ’18) | Colorado (Fall ’18) | U-Mass | Penn State | AVE | |
|---|---|---|---|---|---|---|---|
| Average # of interviews per team | 18 | 41 | 26 | 28 | 14 | 19 |
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| Importance of customer discovery interviews | 4.8 | 4.3 | 4.8 | 4.8 | 4.7 | 5.0 |
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Data Source: Post-Survey, validated by information reported by teams during Finale (documented in PowerPoint slides).
Item not included in Miami survey.
One team at UC Davis conducted 150 interviews; Mean = 22 without this outlier.
Fig. 3.Percentage of teams that reported being ready for commercialization at follow-up.