This all-day, in-person event will have various presentations, breakout sessions, and panel discussions. NRP members will also have an opportunity to have a professional headshot taken (if you’re on the NRP listserv, then you are a NRP member—keep an eye on the NRP listserv for more information closer to May). Join NRP at nrp.tracs.unc.edu/communication/.

Learn more about the conference and explore the full agenda at nrp.tracs.unc.edu/research-conference.

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Reproducibility Rounds: Estimating Replicability of Lab Biology Research at a National Level: Results and Lessons from the Brazilian Reproducibility Initiative

In this talk, we will present the results of a large multicenter replication of biomedical lab research from Brazil using three common experimental methods: the MTT assay, the reverse transcription polymerase chain reaction (RT-PCR), and the elevated plus maze (EPM) experiments in mice. A total of 56 laboratories performed 143 replications of 56 experiments, of which 97 replications of 47 experiments were judged valid by an independent committee. Replication rates for these experiments varied between 15% and 45% according to five predefined criteria. In median terms, relative effect sizes (expressed as ratios of means) were 60% larger in original experiments than in replications, while coefficients of variation were 60% smaller. Beyond the results, we will discuss what we have learned about factors that limit replicability in lab biology, as well as about the challenges of performing large-scale confirmatory research projects in academia.

Speakers:
Olavo Amaral, MD, PhD
Professor
Leopoldo de Meis Institute of Medical Biochemistry
Federal University of Rio de Janeiro

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U.S. Health System: Function to Data

Join the TraCS Data Science Lab for a seminar given by Peter Leese introducing the complex landscape of the U.S. health system— from its organizational structure to the wealth of data it generates. This seminar provides an accessible overview of how healthcare delivery, policy, and financing mechanisms shape the types of data collected and generated across the system. We will briefly discuss how these data—from electronic health records to insurance claims—can be leveraged for research and public health, offering insights into both the capabilities and limitations of health data in the United States.

Speaker:
Peter Leese, MSPH
Director, TraCS Data Science Lab

Seminars in the NC TraCS Data Science Lab Seminar Series cover a range of topics related to health care data science, clinical data, data engineering, and working in these areas at UNC-Chapel Hill. These hybrid seminars are held monthly on the third Tuesday of each month from 12:30-1:30 p.m. in the NC TraCS suite on the 2nd floor of Brinkhous-Bullitt or via Zoom.

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