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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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Welcome to Fall 2017 at the D-Lab

Posted: Aug, 30, 2017

By: Patty Frontiera

The D-Lab provides academic support services for scholars at every stage of the research process, from any background and at any learning level. Whether you are a freshman or  faculty, our philosophy is IOKN2K! (it’s ok not to know!)  D-Lab is a safe, supportive and collaborative environment in which students, staff, researchers and affiliates can learn new methods and tools or exchange experiences and knowledge. Our services are developed with social scientists and digital humanists in mind, yet they have broad applicability.

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3 Easy Steps to Make Graphs on Tableau

Posted: Jul, 11, 2017

By: Jessica Martinez

 Attention data scientists, text analysts, and researchers! Ready to organize your data into charts and dashboards?

Visual representation of data both enhances your work’s presentation and allows you to examine information from a variety of perspectives. Below is a quick introduction to the business intelligence tool, Tableau, which creates interactive reports, charts, graphs, and dashboards that can be easily shared.

1. Download the Tableau Software

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Know Your Copyrights: A Review of Copyright and Fair Use Rules for Digital Practices

Posted: May, 04, 2017

By: Jessica Martinez

From the beginning stages of research to the final steps of publishing, copyright rules are essential in understanding how to properly reproduce or link to sources in your own dissertation, article, website, or digital project. With this issue in mind and always at the forefront of student and faculty needs, the D-Lab hosted an informational workshop led by former copyright attorney and current U.C. Berkeley Library Scholarly Communication Officer, Rachael Samberg.

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