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Organized Code Repositories Accelerate Science and Facilitate Reproducibility

Posted: Mar, 02, 2021

By: Pratik Sachdeva

Computational and data-driven research increasingly requires developing complex codebases. At the same time, many scientists don’t receive training in software engineering practices, resulting in, for some, the perception that scientists write terrible software. As scientists, good software should accelerate our work and facilitate its reproducibility.

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Sign up for CALI-DH Online today!

Posted: Mar, 02, 2021

By: Evan Muzzall

Cultural Analytics Learning Institute for Digital Humanities (CALI-DH Online)

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Howdy Neighbor! Proximity Analysis in R

Posted: Mar, 01, 2021

By: Patty Frontiera

Proximity analysis is one of the cornerstones of spatial analysis. It refers to the ways in which we use spatial methods to ask "what is happening near here".

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Black History Month 2021

Posted: Feb, 23, 2021

By: Patty Frontiera

Black History Month, which is observed in February, was established in the 1970s to celebrate the culture and accomplishments of African Americans. Although this designation may seem artificial or unnecessarily limiting (why only one month?), it is useful if it foregrounds the need to better weave Black narratives into the story of the American experience. 

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Can virtual communities be archived?

Posted: Feb, 23, 2021

By: Anushah Hossain

When future historians try to piece together social life in the twenty-first century, they won’t be combing through faded newspaper clippings or handwritten letters. They’ll be clicking through digital archives that have stored remnants of our real and virtual lives: email collections, tweets, Facebook messages, maybe even Google Calendar entries. 

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Analyzing the Bay Area Commute Network with Geopandas and Networkx

Posted: Feb, 12, 2021

By: Chun Ho Chow

Analyzing the Bay Area Commute Network With Geopandas and Networkx

By Chun Ho Chow

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Imposter Syndrome in Data Science

Posted: Jan, 19, 2021

By: Katherine Wolf

By Katherine Wolf, D-Lab Data Science Fellow

I promised the D-Lab a blog post and then promptly felt unqualified to write it. (I wish that I were kidding.) Thus begins my ironic tale of imposter syndrome in data science.

Who am I?

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We Are Working On Digital Health Social Justice: Here’s Why.

Posted: Dec, 01, 2020

By: Dr. Caroline Fi...

If you have ever used a mobile app to track your exercise, train in mindfulness, or collect diet tips, you may have noticed an overwhelming number of apps to choose from.

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Impactful Data Science: What I Learned through Data Science for Social Good

Posted: Nov, 04, 2020

By: Hikari Murayama

It’s times like these when I like to think about how I can bring together all the technical work I like to do and the impact I want to make.

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Improved Data Protection Features for Berkeley Qualtrics Users

Posted: Oct, 14, 2020

By: Patty Frontiera

D-Lab has long been a champion of campus Qualtrics users by hosting workshops and supporting consulting requests. We have some updates that we would like to share with you regarding some changes to the campuswide Qualtrics brand that might affect your surveys.

New Protected Data Feature on all Berkeley Qualtrics Platforms

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