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IPUMS MEPS, a gift for #LoveData18 Week 2018

Posted: Feb, 12, 2018

By: Jon Stiles

 ... because loving your data should never be a solitary activity.

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Machine Learning at the D-Lab

Posted: Feb, 05, 2018

By: Evan Muzzall

There is a lot of buzz and mystery around machine learning. D-Lab's Machine Learning Working Group is a great space to come learn about it or share your knowledge and projects with others.  

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Spring 2018 at the D-Lab

Posted: Jan, 30, 2018

By: Patty Frontiera

By now your Spring 2018 semester should be in full swing. If you are anything like our graduate students, postdocs, and staff, you have your hands full juggling research and teaching.  We are here to help!    

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GISDay@Berkeley 2017

Posted: Nov, 01, 2017

By: Patty Frontiera

The D-Lab, Earth Sciences and Map Library, and the Geospatial Innovation Facility (GIF) are offering a series of events on methods and technologies for working with geographic data, maps, and spatial analysis.  All are welcome, but please 

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Text Analysis for Digital Humanists and Social Scientists, part 5

Posted: Oct, 19, 2017

By: Patty Frontiera

This is the fifth of five posts on History 100S: Text Analysis for Digital Humanists ans Social Scientists, a Spring 2017 course that I taught which exposed UC Berkeley students to cutting edge computational text analysis techniques.  In this post we introduce a python notebook that describes text encoding and decoding and why these are important for text analysis.

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Text Analysis for Digital Humanists and Social Scientists, part 4

Posted: Oct, 10, 2017

By: Patty Frontiera

This is the forth of five posts on History 100S: Text Analysis for Digital Humanists ans Social Scientists, a Spring 2017 course taught by Laura Nelson that exposed UC Berkeley students to cutting edge computational text analysis techniques.

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Text Analysis for Digital Humanists and Social Scientists, part 3

Posted: Oct, 05, 2017

By: Patty Frontiera

This is the third of five posts on History 100S: Text Analysis for Digital Humanists ans Social Scientists, a Spring 2017 course taught by Laura Nelson that exposed UC Berkeley students to cutting edge computational text analysis techniques.  In this post we focus on a collaborative project executed by Gabija Safranavicius and Alvin Ghouas entitled The Evolution of Modern Hip Hop.

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Text Analysis for Digital Humanists and Social Scientists, part 2

Posted: Sep, 27, 2017

By: Patty Frontiera

This is the second of five posts on History 100S: Text Analysis for Digital Humanists ans Social Scientists, a Spring 2017 course taught by Laura Nelson that exposed UC Berkeley students to cutting eduge computational text analysis techniques.

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Text Analysis for Digital Humanists and Social Scientists, part 1

Posted: Sep, 26, 2017

By: Patty Frontiera

The D-Lab at UC Berkeley is proud to feature a compilation of computational analysis projects taken from Laura K. Nelson’s interdisciplinary course, History 100S: Text Analysis for Digital Humanists and Social Scientists. Professor Nelson was a 2016-2017 Postdoctoral Fellow at the Berkeley Institute for Data Science and the Digital Humanities @ Berkeley.

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Field Research: Getting Feedback Before It’s Too Late

Posted: Sep, 12, 2017

By: Patty Frontiera

Across the social sciences, there is increasing interest in conducting randomized field experiments because of both their strong internal validity (from randomization) and external validity (by conducting the research in the real-world).

Field experiments have the added benefit of simplicity. At the end of the day, a well-executed randomized experiment ensures that experimental groups have the same potential outcomes, meaning that in most cases, all the analysis requires is a straightforward difference-in-means.

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