News

Developing a Feel It, Smell It, Touch It Analytics

/ June 4, 2016

In this blog post segment for orgtheory.net, Laura Nelson uses sports analytics as a starting point to call for a critical feminist computational social science.  It appeared in orgtheory.net's blog post entitled "Forum on Data Analytics and Inclusivity, Part 1" posted by Brayden King on June 4, 2016.

Another BIDS Data Science Faire in the Books

Ali Ferguson / May 6, 2016

Earlier this week, we held our third annual Data Science Faire to celebrate data science at BIDS and UC Berkeley. Like last year, we invited poster/demo presenters from around campus to showcase their data science projects, welcoming participants from Research IT, Digital Humanities, the Space Sciences Laboratory, the California Digital Libary, and many more.

Algorithms to Live By: The Computer Science of Human Decisions

/ April 28, 2016

BIDS senior fellow Tom Griffiths recently co-authored a book (Algorithms to Live By: The Computer Science of Human Decisions) that "combines the best of computer science and human intuition to head off an epidemic of too many choices and not enough time." Continue reading to learn more. by Yasmin Anwar, UC Berkeley Media Relations Information overload and “fear of missing out” may rank among the biggest contributors to chronic indecision. But help is at hand.

Call for Reproducibility Workflows

Cyrus Dioun / April 26, 2016

BIDS fellows Cyrus Dioun and Garret Christensen are seeking reproducibility workflows from social scientists throughout academia. 

Call for Posters and Exhibits | BIDS Spring 2016 Data Science Faire

/ March 31, 2016

This year’s Data Science Faire (May 3) will feature poster/demo exhibits from students and researchers on campus. If you have been doing work related to data science (e.g., conducting a data-intensive project, running an open source meetup on campus, developing tools to enable reproducible science, etc.) and would like to showcase your efforts at the Data Science Faire, we'd love to have you.

With Data, Bigger Might Not Always Be Better

Jasmine Nirody / March 21, 2016

Every conversation I’ve heard about what it means to be a data scientist consists of tons of ideas but no consensus. While it seems like nobody can agree on the sufficient conditions for obtaining this illustrious title, a lot of people are vehement about a necessary one: being a data scientist means you work with big data.

Computational Thinking: I Do Not Think It Means What You Think It Means

Lorena Barba / March 8, 2016

BIDS visiting scholar Lorena Barba posted a great blog post on computational thinking and was kindly willing to let us cross-post on our blog. Check it out below.

The Joy of Code Refactoring

Kyle Barbary / February 29, 2016

If you write software for your research, you have most likely had the experience of looking at your code and realizing it has become a tangled mess. Perhaps it has even gotten to the point where you, the original author, have a hard time remembering how all the pieces fit together. Don’t despair! This is perfectly natural in research software; it is just time to refactor.

Call for Fellows—Spring 2016

Kevin Koy / February 25, 2016

We are excited to invite applications for our next cohort in the BIDS Data Science Fellow Program.  Successful applicants will join our current cohort of fellows in helping make data analysis easier in the research sciences. BIDS data science fellows are postdoctoral scholars, graduate student researchers, or staff with excellent credentials in their fields as well as strong interests in advancing data-analysis approaches with a community of like-minded individuals from across campus. 

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