Events

Do Right by Your Data: Defeating Bias(es) in the Multiverse of Research

Course Objective Join this panel as they address: Diverse sources of bias, and how current experimental design, data management, and statistical practices attenuate their potential to confound research Ethical considerations when researchers make choices about the acquisition, use, analysis, and interpretation of data How different data management and data sharing practices can support or undermine […]

Oops! (I Did It Again): Issues with Human Subjects Research Data

Course Objective What happens when something goes wrong with human subjects research data? Is it an IRB or regulatory issue? What corrective actions need to happen, if any? When do I have to notify my participants? Expert(s): Kim Serpico, MEd, CIP, Associate Director of IRB Operations, Office of Regulatory Affairs and Research Compliance, Harvard T.H. […]

R Practice exercises

Prerequisite: The following is required https://catalyst.harvard.edu/courses/intro-to-r/

Introduction to machine learning

Chris, Laha, and Tyrone will give an introduction to machine learning with a focus on convolutional neural networks and generative adversarial networks in next week's Comp Bio meeting, Thu, Sep 15, […]