CCB is happy to provide computational and data science resources for HMS graduate students, postdoctoral fellows, research staff, and faculty across all departments of the HMS quadrangle.
Please email us for additional information on project collaboration, tool/technology development, educational resources, or any general inquiries.
Prerequisites? This is one of our advanced workshops, and requires registrants to have attended the following Basic workshop offered by our training team within the last 6-8 months: Introduction to R Click here for more information on workshop.
In this short course, Todd Ogden, PhD, Columbia University, will discuss incorporating functional data into statistical models. Functional data is all around us. Vast quantities of data are routinely gathered […]
Prerequisites? This is one of our advanced workshops, and requires registrants to have attended the following Basic workshop offered by our training team within the last 6-8 months: Introduction to R Click here for more information on workshop.
Laura Dodge, ScD, Beth Israel Deaconess Medical Center, will discuss statistical considerations in studies of assisted reproduction. This session will provide an overview of the IVF process, describe common pitfalls […]
Prerequisite: The following is required Shell
So, you want to write an NIH grant and need to know more about their new policy on Data Management & Sharing Plans? Stop by the Countway Library to learn […]
This talk will introduce the {gtsummary} R package, and will review details of some of the functionality it provides for creating publication quality analytical and summary tables. The talk will […]
Prerequisites? This is one of our advanced workshops, and requires registrants to have attended the following Basic workshop offered by our training team within the last 6-8 months: Introduction to R Click here for more information on workshop.
The Image Analysis Collaboratory and Nikon Imaging Center are running a workshop over two consecutive afternoons: Introduction to image analysis using ImageJ/Fiji. Participation will be limited to 14 people. The format will be a combination of tutorials and hands-on exercises (you will need a laptop with a decent size screen and admin privileges).
The Open Science Framework (OSF) is a free, open-source project management tool to help scholars manage their workflow, organize their materials, and share all or part of a project with the broader research community. The tool connects to many other tools researchers often use such as GitHub, Dropbox, ORCID, Zotero, Dataverse, and many more. Harvard […]