CGIS Knafel Building (North), Room: K354 1737 Cambridge Street, Cambridge MA 02138 map
Description
Date And Time:
May 13, 2013 2:30pm – 4:00pm
TIP-TIG is a weekly session for brainstorming and discussing any aspect of privacy (TIP) or on technology in government (TIG), hosted by the Data Privacy Lab. Discussions are often inspired by a real-world problems being faced by the lead discussant, who may be from industry, government, or academia. Practice talks and presentations on specific techniques and topics are also common.
This introduction to the popular ggplot2 R graphics package will show you how to create a wide variety of graphical displays in R. Topics covered included aesthetic mapping and scales, faceting, and themes. This is an intermediate level workshop appropriate for those already familiar with R. Participants should be familiar with importing and saving data, data types (e.g., numeric, factor, character), and manipulating data.frames in R.
The 2013 Atlantic Causal Inference Conference will be hosted by Harvard University May 20-21, 2013, and is being co-organized by the Harvard School of Public Health Program on Causal Inference and the Institute of Quantitative Social Science. It will be held at 1730 Cambridge Street, Cambridge MA.
CGIS Knafel Building (North), Room: K354 1737 Cambridge Street, Cambridge MA 02138 map
Description
Date And Time:
May 20, 2013 9:30am – 12:00pm
Looking for a way to share and preserve your research data?
The Harvard Dataverse Network is an easy to use data repository which allows you to share, cite, reuse and archive research data.
If you are new to the Dataverse Network, a current user with questions or are ready to learn more about the Harvard Dataverse Network, come to the CGIS Knafel Building on Monday, May 20, 2013. Our Dataverse team will be available to sit with you one-on-one to help with any of your Dataverse needs.
The Robert Wood Johnson Scholars in Health Care Policy welcomes Benjamin Cook, Ph.D, to a Colloquium on Wednesday, May 22nd in the afternoon. While we finalize the location and time, please hold time from approximately 1:30 to 4:00 pm on the Cambridge campus, probably in CGIS, S-450. More details to follow.
During the past few years the availability of massive data on individual performance has prompted many scientists to start exploring patterns that govern the path to individual success. The take on this important topic can be rather diverse—from exploring citations to influential scientific papers to the emergence of runaway videos on YouTube, from the popularity of hash tags on Twitter to the path to success for countries. As such the tools and perspectives vary, involving social scientists, computer scientists, economists, physicists and mathematicians.
