Scott A. GolderScott is a PhD candidate in Sociology at Cornell University, as well as a Data Scientist and Staff Sociologist at Context Relevant, a provider of predictive analytics and machine learning software.
Earlier, he was a research scientist in the Social Computing Lab at HP Labs, a graduate student at the MIT Media Laboratory's Sociable Media Group, and an undergraduate at Harvard University, where he studied Linguistics and Computer Science. He has also been a research intern at Google, IBM and Microsoft.
His work has been published in the journal Science, the Annual Review of Sociology, as well as top computer science conferences by the ACM and IEEE, and has been covered in media outlets such as MSNBC, The New York Times, The Washington Post and National Public Radio.
He has also appeared on The Today Show for his work on the Harvard Dialect Survey, which was the basis for the most-visited New York Times article in 2013.
Scott is an occasional commentator on internet and society-related issues, having appeared on Huffington Post Live and Al Jazeera English. He has also been profiled by LiveScience's "ScienceLives"
→ Curriculum vitae (PDF)
|→||Scott A. Golder and Michael W. Macy (2014) Digital Footprints: Opportunities and Challenges for Online Social Research. Annual Review of Sociology. Vol. 40: 129-152.|
|timeu.se - What do people do all day? By collecting millions of messages from Twitter, we can explore in great detail exactly how people report spending their time. (a companion to Golder & Macy 2011)|
|The Dialect Survey - a series of questions to explore words and sounds in the English language. A very early example of collecting social science data on the internet. (2002; in collaboration with Bert Vaux)|
|HP CloudPrint - a cloud-based, driverless, virtual printing service for printing from your mobile, which I invented while at HP. Now apparently defunct (I left HP in 2008), it got nice coverage in the New York Times. (2007)|
|Social Science with Social Media - This short essay (with Michael Macy) appeared in the ASA's newsletter, Footnotes, in January 2012. We describe how social science can use social media as a source of behavioral data.|
|Scaling Social Science with Hadoop - a blog post / essay written for Cloudera on computational social science. (2010)|