The Federal Courts Working Group brings together researchers from across disciplines who share an interest in studying the U.S. federal courts. The goal of this working group is to collect, organize and analyze comprehensive quantitative data on federal court procedures, practice and outcomes.

This is not the page you are looking for! Please check our active working groups for current information.

PWP is every other week for the summer! See the group page for this week's info.

The Python Workers' Party is a weekly working party, where we develop code that's relevant to our (i.e., *your*) work. See the link below for more up-to-date information!

The Information-Energy Nexus Working Group, which focuses on the transformative role of information technology on modern energy systems, is a forum for graduate and undergraduate students and other researchers (at UC Berkeley, LBNL, and beyond) to collaborate.  It will not be the kind of group where you come to see a different lecture every week by outside speakers. Instead, we will work together to develop and share open-source datasets, analysis tools, and field methods that are useful across a range of topics. infoEnergy shares knowledge and builds tools together, and is mostly made up of researchers and students who are working on our 'own' projects. We are currently partnered with Cleanweb Berkeley and the Berkeley Rural Energy Group to extend our reach.

A pilot reading group to explore high-level methods issues in the social sciences. For example, we're currently planning on discussing problems with identification, and the merits and pitfalls of Bayesian approaches to hypothesis testing. Drop-ins are welcome!

Visit our group web page for more info.

D-Lab coordinates and collaborates with the Townsend Center's working group on the Digital Humanities, an interdisciplinary group focused on the application of digital methods and computing technologies to humanities research. The goal of the Digital Humanities working group is to provide a way for all the digital humanities groups on campus to unite with each other, keep each other abreast of current trends and new methods, and exchange ideas. 

We welcome all interested parties, whether you are in the humanities, the social sciences, or any discipline that has an interest in technologically-motivated study of the human sciences.

Refreshments will be provided.

Please join the Digital Humanities Working Group and the Social Sciences D-Lab for the INFOVIZ MOOC from Indiana University. We'll be meeting every Tuesday afternoon to watch the MOOC videos and work on questions together. More information (including registration information) can be found at http://ivmooc.cns.iu.edu/. The course starts on January 28. 

This working group is funded by the Doreen B. Townsend Center for the Humanities at the University of California, Berkeley.

What are the origins and consequences of a networked society? Networks are a growing field within many disciplines, including sociology, economics, computer science, and physics. This group will take an interdisciplinary approach for exploring these and related questions, and will familiarize itself with the latest tools being developed to study networks.

During the first class, participants will design a reading list of networks research based on their experience and interests. Each week, one or two readings will be discussed, led by a member of the group. In addition to discussing networks-based research, participants will also learn how to use a networks analysis software package, such as Gephi, by completing a short problem set each week. Lastly, over the course of the semester, each participant will also present her/his own networks-related research. The goal is that we will increase our understanding of networks research by becoming more familiar with the approaches taken by one another's disciplines.

Interested students should REGISTER and can learn more about the working group by attending a preliminary meeting on August 28th at 1pm in D-Lab. While attending this preliminary meeting is not mandatory for participation, if you are unable to make it, please register and get in touch with the working group's coordinator, Carl Nadler (cnadler@econ.berkeley.edu), since a poll will be taken at this meeting to determine when future meetings will occur. Questions about the working group can also be addressed to Carl. Any researcher working on networks-related research is welcome to attend.

What are the origins and consequences of a networked society? Networks are a growing field within many disciplines, including sociology, economics, computer science, and physics. This group will take an interdisciplinary approach for exploring these and related questions, and will familiarize itself with the latest tools being developed to study networks.

During the first class, participants will design a reading list of networks research based on their experience and interests. Each week, one or two readings will be discussed, led by a member of the group. In addition to discussing networks-based research, participants will also learn how to use a networks analysis software package, such as Gephi, by completing a short problem set each week. Lastly, over the course of the semester, each participant will also present her/his own networks-related research. The goal is that we will increase our understanding of networks research by becoming more familiar with the approaches taken by one another's disciplines.

Interested students should REGISTER and can learn more about the working group by attending a preliminary meeting on August 28th at 1pm in D-Lab. While attending this preliminary meeting is not mandatory for participation, if you are unable to make it, please register and get in touch with the working group's coordinator, Carl Nadler (cnadler@econ.berkeley.edu), since a poll will be taken at this meeting to determine when future meetings will occur. Questions about the working group can also be addressed to Carl. Any researcher working on networks-related research is welcome to attend.

For details on this working group, please see the py4science community site!

This is a peer-run working group in scientific computing using the programming language Python. We'll plan to cover topics in efficient numerical and statistical computing, as well as data visualization. A standard reference is Wes McKinney's Python for Data Analysis. A hard copy is available in D-Lab, and the book is freely available via the Berkeley campus Safari Bookshelf (the link only works on campus or via a library proxy). Registration is welcomed, but it's not required. Feel free to come if you're not certain that this group is for you. Bob Bell is coordinating.

We keep track of our meetings at python.berkeley.edu/py4science/py4data.html.