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Recent Posts
- Jean-Baptiste Michel: The Mathematics of History { TEDed }
- Stephanie Kimbro: Unbundling and the Future of Legal Service Delivery { via Stanford CodeX }
- Google’s Revolutionary Self-Driving Car — People Have No Idea How Game-Changing Google’s Breakthrough Truly Is {via PC Mag}
- The Man Who Makes the Future: Wired Icon Marc Andreessen
- WIRED Business Conference: The Creation Economy (with KickStarter CEO – Yancey Strickler)
- Announcing Law Tech Camp London 2012 – June 29, 2012 – Sponsored By Michigan State University College of Law, University of Westminster and The College of Law
- How Recruiters Look at Your Resume {via The Ladders}
- Automatic Prediction Of Small Group Performance In Information Sharing Tasks {from MIT Media Lab}
- Quantitative Methods for Lawyers @ Michigan State University College of Law { Professor Daniel Martin Katz }
- Jack Choi: On the Virtual Dissection Table [ TED 2012 ]
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Monthly Archives: January 2010
The Structure and Complexity of the United States Code
Mike and I have been working on a paper we hope to soon post to the SSRN entitled ” The Structure and Complexity of the United States Code.” Yesterday, we presented a pre-alpha version of the paper in the Michigan … Continue reading
The State of the Union and Computational Models of Standing Ovations
The State of the Union often provides for dramatic political theatre. While watching President Obama’s first State of the Union Address last night, I could not help but think about a particular subplot associated with the speech–the Republican caucus and the “standing … Continue reading
Slides from our Presentation at UPenn Computational Linguistics (CLUNCH) / Linguistic Data Consortium (LDC)
We have spent the past couple days at the University of Pennsylvania where we presented information about our efforts to compile a complete United States Supreme Court Corpus. As noted in the slides below, we are interested in creating a corpus … Continue reading
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Tagged computational linguistics, data mining, python, supreme court
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Large Scale ( 130,000 + ) Zoomable Visualization of a Twitter Network
Starting with the Michael Bommarito’s twitter handle mjbommar, we built this visualization by collecting Mike’s direct friends, friends-friends, friends-friends-friends, etc. until we decided to stop …. just after passing 130,000 total twitter handles. Using the Fruchterman-Rheingold algorithm, we visualized a network where |V| … Continue reading
Science Magazine Policy Forum: Accessible Reproducible Research
From the Abstract … ”Scientific publications have at least two goals: (i) to announce a result and (ii) to convince readers that the result is correct. Mathematics papers are expected to contain a proof complete enough to allow knowledgeable readers to … Continue reading
The Senate Campaign Contribution Network: A Visualization Repost in Light of the Court’s Decision in Citizens United v. Federal Election Commission
Today’s decision in Citizens United v. Federal Election Commission has justifiably generated a significant amount of media / blogosphere coverage. For those not familiar with the Court’s decision, there is a full roundup of analysis available at SCOTUS Blog and … Continue reading
GraphMovie: A Library for Generating Movies from Dynamic Graphs with igraph
Over the past few months, we’ve developed a library for simply generating dynamic network animations. We’ve used this library in visualizations like (1) Visualizing the Gawaher Interactions of Umar Farouk Abdulmutallab, the Christmas Day Bomber and (2) Dynamic Animation of … Continue reading
Netflix Challenge for SCOTUS Prediction?
During our break from blogging, Ian Ayers offered a very interesting post over a Freakonomics entitled “Prediction Markets vs. Super Crunching: Which Can Better Predict How Justice Kennedy Will Vote?” In general terms, the post compares the well known statistical … Continue reading
