WiDS Maastricht 2021 - Rachel Cavill

Reporting robust research results – perspectives from data science in the biomedical field

Responsible data science within scientific research needs to encompass all aspects of the scientific pipeline, from data acquisition through to the presentation and publishing of results and beyond.  This technical talk focused on how we can responsibly present our research to the scientific community, thinking about the obvious and not-so-obvious steps we can take to avoid the presentation of false positive results.  The examples were taken from the biomedical domain, but the principles apply to other domains, and even to the presentation of results outside of the academic sphere.  

You can view the presentation here.

_{Dr. Rachel Cavill is an Assistant Professor in systems biology and applied mathematics within the Department of Data Science and Knowledge Engineering (DKE). After receiving her MMATH in Mathematics and Computer Science from the University of York in 2002, she continued at the same institution and received her PhD in 2007, developing bio-inspired machine learning algorithms. During her postdoc years, she transitioned into the field of bioinformatics and spent four years working at Imperial College London. Currently, she and her team explore how machine learning and data science approaches can allow us to integrate biological datasets from different sources.}