News

RCS Representation at Harvard Technology ABCD Meeting

April 18, 2018
Bob Freeman PhD, Director of Research Technology Operations at RCS, and a member of the Harvard Research Computing Council, will be giving a talk at the Harvard Technology ABCD meeting held on May 4th from 12pm - 2pm to discuss how research computing is changing at HBS, and examples of research that have benefited from RCS assistance. If you are interested in attending this meeting, please visit: https://www.abcd.harvard.edu/MeetingAnn.html

These talks are a... Read more about RCS Representation at Harvard Technology ABCD Meeting

New Tips from the RCS Stats Team

April 18, 2018
R Library - DPLYR

Dplyr is an R package used for data manipulation which provides much more concise, readable blocks of data manipulation code once you can understand its syntax. Dplyr is built around 5 verbs: SelectFilterArrangeMutate, and Summarize.

Select - Selects certain columns in your dataframe
Filter - Select specific rows in your dataframe
Arrange - Orders the rows in your dataframe
Mutate - Creates new columns in... Read more about New Tips from the RCS Stats Team

2018 ICPSR Summer Program

April 18, 2018

Please see this exciting summer program to improve and learn new research methodologies below: 

The 2018 ICPSR Summer Program in Quantitative Methods of Social Research is offering over 80 courses on a broad range of methodologies and techniques that are relevant for research in the social, behavioral, and health sciences.

Both four week and three-to-five day workshops are offered throughout the summer at the University of Michigan Ann Arbor campus. For more details, visit: ...

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2018 Summer Institute in Computational Social Science

April 18, 2018

Please see this exciting summer program to improve and learn new research methodologies below: 

This one-week Summer Institute on Computational Social Science (SICSS) will be hosted at the University of Colorado Boulder from Monday, August 13 through Friday, August 17.

SICSS attendees will participate in an intensive project-based survey of collecting digital trace data, analyzing data using applying network analysis and text processing methods, and making stronger causal inferences from observational data. For more details, visit: ...

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