Goal #8: Foster the development of the emerging field of translational science

North Carolina Translational and Clinical Sciences Institute (NC TraCS) has released its first annual impact report after securing a seven-year $70 million Clinical and Translational Science Award from the National Institutes of Health <a href="https://tracs.unc.edu/index.php/news-articles/2082-unc-receives-70-million-nih-grant" target="_blank" rel="noopener noreferrer">in April 2023</a>. The report features TraCS' recent contributions to the health of North Carolinians—showcasing advancements made possible by our researchers, staff, and robust institute infrastructure…&nbsp;Read the full article <a href="https://tracs.unc.edu/index.php/news-articles/2262-nc-tracs-releases-annual-report-showcasing-advances-in-translational-science" target="_blank" rel="noopener noreferrer">here</a>.

North Carolina Translational and Clinical Sciences Institute

NC TraCS Impact Report April 2023 to March 2024 UNC School of Medicine

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University of North Carolina at Chapel Hill

NC TraCS Releases Impact Report Showcasing Advances in Translational Science

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Goal #4: Improve clinical research

Date/Time: Tuesday, January 21, 2025, 12:00 pm ETLocation: ZoomSpeakers: <a href="https://www.cos.io/team/tim-errington" target="_blank" rel="noopener noreferrer">Timothy M. Errington, Ph.D., M.A.</a>,&nbsp;Senior Director of Research, Center for Open Science&nbsp;The Reproducibility Project:&nbsp;Cancer Biology&nbsp;was a large-scale systematic investigation into the replicability of high-impact, preclinical&nbsp;cancer biology&nbsp;experiments. Overall, there were challenges at every stage of the&nbsp;research&nbsp;process from design to conducting the replications. It was hard to understand what was originally done, there was not always access to the original data or reagents to conduct the experiments, and the model systems frequently did not behave as originally reported. The limited transparency and incomplete reporting made the efforts to replicate the findings much harder than was necessary. Of the replication experiments able to be completed, the evidence was much weaker on average than the original findings even though all the replications underwent peer review before conducting the experiments to maximize their quality and rigor. These findings suggest that there is unnecessary friction in the&nbsp;research&nbsp;process that may be slowing the advancement of knowledge, solutions, and treatments.&nbsp;Register for the webinar <a href="https://stanford.zoom.us/meeting/register/tJMkceyhqz8iEtd2G118SKZ9vFaNeWoKJfKy#/registration" target="_blank" rel="noopener noreferrer">here</a>.Learn more about Reproducibility Rounds <a href="https://med.stanford.edu/sporr/education/training/Reproducibility_Rounds.html" target="_blank" rel="noopener noreferrer">here</a>.

Stanford Center for Clinical & Translational Education and Research (Spectrum)

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Stanford

Reproducibility Rounds: Replicating 193 Preclinical Cancer Biology Experiments: Lessons, Surprises, and Future Directions 

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Goal #7:  Training and career support programs for translational scientists

The Data and AI Intensive Research with Rigor and Reproducibility (DAIR3) program includes a weeklong training bootcamp in the summer that focus on ethical issues in biomedical data science; data management, representation, and sharing; rigorous analytical design; the design and reporting of AI models; generative AI; reproducible workflow; and assessing findings across studies. Additionally, the bootcamp also includes grant writing sessions and research collaboration discussions.&nbsp;Trainees will then be guided over a one-year period to incorporate the newly acquired mindset, skills and tools into their research; and develop training for their own institutions.&nbsp;The&nbsp;priority application deadline is January 29, 2025.&nbsp; See&nbsp;<a href="https://dair-3.org/faq/" target="_blank" rel="noopener noreferrer">FAQ page</a>&nbsp;for more information.&nbsp; <a href="https://dair-3.org/application/" target="_blank" rel="noopener noreferrer">Apply Today!</a>&nbsp;Have questions?&nbsp; <a href="https://dair-3.org/virtual-qa-session-2025/" target="_blank" rel="noopener noreferrer">Join a Virtual Q&amp;A session&nbsp;</a>or reach out to Kelly Psilidis at <a href="mailto:psilidis@umich.edu" target="_blank" rel="noopener noreferrer">psilidis@umich.edu</a>&nbsp;Learn more about the program <a href="https://dair-3.org/" target="_blank" rel="noopener noreferrer">here</a>.

Michigan Institute for Clinical and Health Research

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University of Michigan at Ann Arbor

Data and AI Intensive Research with Rigor and Reproducibility (DAIR³) Applications Open

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NC TraCS Releases Impact Report Showcasing Advances in Translational Science