Abstract
Collaborative academic statisticians are often involved in many different aspects of research and training, and are often interested in a variety of areas. In this talk, I will share how an idea for developing videos to help train and mentor the next generation of applied statisticians came to fruition. We will view an example video and discussion that led to the creation of a short course on navigating difficult conversations in statistical collaboration. This short course was developed with an additional colleague. The ideas in the videos and that short course have been woven into more areas of interest, leading to new projects, new collaborations, and new ideas to include. I conclude by sharing current and future directions for this work. This is joint work with Julia Sharp (NIST), Zach Weller (GTI Energy), Megan Higgs (Critical Inference), and more recently Ryan Peterson (University of Colorado Anschutz Medical Campus).
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Emily Griffith is a professor of the practice and associate department head in the Department of Statistics at North Carolina State University. She is also the director of analytics consulting in the Data Science Academy. Emily has a strong record of collaborative statistical work across a broad range of disciplines, including veterinary medicine, engineering, education, and paleontology. She has expertise in a variety of areas including sampling, mixed effects models, and experimental design. Emily was selected as an American Statistical Association Fellow in 2023 and awarded the Outstanding Mentor Award from the ASA's Section on Statistical Consulting in 2022. She earned her PhD in statistics from NC State in 2008. When she is not working, Emily enjoys cooking, spending time with her family, and running outside.