The Kolokotrones Symposium on Data Science is a monthly gathering focused on discussing methodologic issues that arise in data science, including epidemiology and biostatistics, in a more relaxed setting, These monthly meetings are organized as methods clinics during which students, postdocs, and other junior investigators present questions about methodological challenges that the encounter in their research. Possible solutions are discussed by the group, which includes faculty members from the Departments of Biostatistics and Epidemiology. The discussion topics can encompass any aspect of data science, including database management, design of observational analyses, machine learning algorithms, and causal inference techniques.
Do you have ideas for future Kolokotrones symposium topics? If so, we would love to hear from you! Please send any thoughts to Kathleen Tajmajer (firstname.lastname@example.org).
The CAUSALab Inaugural Event: Causal Inference from Real World Data in the Era of COVID-19 will take place on Friday, November 5th. For more information and to register, please visit CAUSALab.sph.harvard.edu/symposia.