March 24, 2017

Archives for September 2012

Which States have the Highest Risk of an E-Voting Meltdown?

This post is joint work by Joshua Kroll, Ian Davey, Alex Halderman, and Ed Felten.

Computer scientists, including us, have long been skeptical of electronic voting systems. E-voting systems are computers, with all of the attendant problems. If something goes wrong, can the problem be detected? Can it be fixed? Some e-voting systems are much riskier than others.

As the 2012 Presidential election approaches, we decided to evaluate the risk of a “meltdown scenario” in which problems with electronic voting equipment cause a state to cast the deciding electoral college vote that would flip the election winner from one candidate to the other. We’re interested in the risk of these technological problems, weighted by the relative voting power of each voter. So for example, here in New Jersey we use direct-recording electronic voting machines that have been found by a court to be inadequate, but with Obama polling at +14% it’s not likely that a snafu with these machines could change the entire state’s outcome. But in swing states that poll closer to even, like Virginia (where your voting machines can be modified to play Pac-Man), an electronic voting mix-up could have a much bigger impact. So, which states have the greatest risk of an e-voting meltdown affecting the result of the 2012 Presidential election?

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Goodbye, Stanford. Hello, Princeton!

[Editor’s note: The Center for Information Technology Policy (CITP) is delighted to welcome Arvind Narayanan as an Assistant Professor in Computer Science, and an affiliated faculty member in CITP. Narayanan is a leading researcher in digital privacy, data anonymization, and technology policy. His work has been widely published, and includes a paper with CITP co-authors Ed Felten and Joseph Calandrino. In addition to his core technical research, Professor Narayanan will be engaged in active public policy topics through projects such as, and is sought as an expert in the increasingly complex domain of privacy and technology. He was recently profiled on as the “World’s Most Wired Computer Scientist.”]

I’ve had a wonderful first month at Princeton as an assistant professor in Computer Science and CITP. Let me take a quick moment to introduce myself.

I’m a computer scientist by training; I study information privacy and security, and in the last few years have developed a strong side-interest in tech policy. I did my Ph.D. at UT Austin and more recently I was a post-doctoral researcher at Stanford and a Junior Affiliate Fellow at the Stanford Law School Center for Internet and Society.

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Is Spotify the Celestial Jukebox for Music?

In 1994, law professor Paul Goldstein popularized the term “celestial jukebox” to refer to his vision of a networked database of consumable on-demand media. In the face of copyright law that was ill-suited to the rapid rate of technological change, he described a system in which consumers would pay-per-play rather than purchasing and owning individual works. In his book Copyright’s Highway, he predicted that, “the pace of technological development is so fast and the forces of market demand so strong that the celestial jukebox, however configured, will be in place sometime early in the twenty-first century.”

The explosion of broadband and mobile internet access has made that viable, and countless startups have taken a stab at implementing the vision. One of the biggest challenges for these companies has been compiling a library of licensed works that is comprehensive enough to attract a critical mass of users. In the music market, the pay-per-play model has generally given way to monthly subscription or ad-based models. I’ve been a casual user of and Pandora, but my listening habits haven’t been fundamentally altered. That changed last week when I finally decided to try Spotify. Spotify may be the first real contender for a mainstream “celestial jukebox” of music. But is that a good thing?

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