Linkage

A map of racial segregation in the US.

Vi Hart explains serial music (h/t Jim CaJacob).

More adventures in trolling scam journals with bogus papers (h/t my father).

Brighten does some number crunching on his research notebook.

Jerry takes “disruptive innovation” to task.

Vladimir Horowitz plays a concert at the Carter White House. Also Jim Lehrer looks very young. The program (as cribbed from YouTube)

  • The Star-Spangled Banner
  • Chopin: Sonata in B-flat minor, opus 35, n°2
  • Chopin: Waltz in a minor, opus 34, n°2
  • Chopin: Waltz in C-sharp minor, opus 64, n° 2
  • Chopin: Polonaise in A-flat major, opus 53 ,Héroïque
  • Schumann: Träumerei, Kinderszene n°7
  • Rachmaninoff: Polka de W.R
  • Horowitz: Variations on a theme from Bizet’s Carmen

The Simons Institute is going strong at Berkeley now. Moritz Hardt has some opinions about what CS theory should say about “big data,” and how it might be require some adjustments to ways of thinking. Suresh responds in part by pointing out some of the successes of the past.

John Holbo is reading Appiah and makes me want to read Appiah. My book queue is already a bit long though…

An important thing to realize about performance art that makes a splash is that it can be often exploitative.

Mimosa shows us what she sees.

“Flowery” language, global English, and scholarly communication

I really love language, but my desire to be idiomatic often runs athwart to the goals of scholarly communication. Especially when motivating a paper, I enjoy writing sentences such as this:

In the data-rich setting, at first blush it appears that learning algorithms can enjoy both low privacy risk and high utility.

(Yes, I know it’s passive). However, consider the poor graduate student for whom English is a second (or third) language – this sentence is needlessly confusing for them. If we are really honest, this is the dominant group of people who will actually read the paper, so if I am writing with my “target audience” in mind, I should eschew idioms, literary allusions, and the like. Technical papers should be written in a technical and global English (as opposed to a specific canonized World English).

Nevertheless, I want to write papers in a “writerly” way; I want to use the fact that my chosen career is one of constant writing as an opportunity to improve my communication skills, but I also want to play, to exploit the richness of English, and even to slip in the occasional pun. Am I a linguistic chauvinist? Unlike mathematicians, I never had to learn to read scholarly works in another language, so I have the luxury of lazily indulging my fantasies of being an Author.

When I review papers I often have many comments about grammatical issues, but perhaps in a global English of scholarly communication it doesn’t matter as long as the argument is intelligible. Do we need so many articles? Is consistent tense really that important? I think so, but I don’t have a philosophically consistent argument for what may appear, in situ, to be a prescriptivist attitude.

The cynical side of me says that nobody reads papers anyway, so there is no point in worrying about these issues or even spending time on the literary aspects of technical papers. Cynicism has never been very nourishing for me, though, so I am hoping for an alternative…

De-anonymized reviewers in discussion

One big difference between reviewing for conferences like NIPS/ICML and ISIT is that there is a “discussion” period between the reviewers and the Area Chair. These discussions are not anonymized, so you know who the other reviewers are and you can also read their reviews. This leads to a little privacy problem — A and B may be reviewing the same paper P, but A may be an author on a paper Q which is also being reviewed by B. Because A will have access to the text of B’s reviews on P and Q, they can (often) unmask B’s authorship of the review on Q simply by looking at the formatting of the reviews (are bullet points dashes or asterisks, do they give numbered points, are there “sections” to the review, etc). This seems to violate the spirit of anonymous review, which is perhaps why some have suggested that reviewing be unblinded (at least after acceptance).

The extent to which all of this matter is of course a product of the how fast the machine learning literature has grown and the highly competitive nature of the “top tier conferences.” Because the acceptance rate is so low, the reviewing process can appear to be “arbitrary” (read: subjective) and so questions of both review quality and author/review anonymity impact possible biases. However, if aim of double-blind reviewing is to reduce bias, then shouldn’t the discussions also be anonymized?

Eisen’s comments on the future of scholarly publishing

Michael Eisen gave a talk at the Commonwealth Club in San Francisco recently. Eisen is the founder of the Public Library of Science (PLoS), which publishes a large number of open-access journals in the biosciences, including the amazingly named PLoS Neglected Tropical Diseases. His remarks begin with the background on the “stranglehold existing journals have on academic publishing.” But he also has this throwaway remark:

One last bit of introduction. I am a scientist, and so, for the rest of this talk, I am going to focus on the scientific literature. But everything I will say holds equally true for other areas of scholarship.

This is simply not true — one cannot generalize from one domain of scholarship to all areas of scholarship. In fact, it is in the differences between dysfunctions of academic communication across areas that we can understand what to do about it. It’s not just that this is a lazy generalization, but rather that the as Eisen paints it, in science the journals are more or less separate from the researchers and parasitic entities. As such, there are no reasons that people should publish with academic publishers except for some kind of Stockholm syndrome.

In electrical engineering and computer science the situation is a bit different. IEEE and ACM are not just publishing conglomerates, but are supposed to be the professional societies for their respective fields. People gain professional brownie points for winning IEEE or ACM awards, they can “level up” by becoming Senior Members, and so on. Because disciplinary boundaries are a little more fluid, there are several different Transactions in which a given researcher may publish. At least on paper, IEEE and ACM are not-for-profit corporations. This is not to say that engineering researchers are not suffering from a Stockholm syndrome effect with these professional societies. It’s just that the nature of the beast is different, and when we talk about how IEEExplore or ACM Digital Library is overpriced, that critique should be coupled with one of IEEE’s policy requiring conferences to have a certain profit level. These things are related.

The second issue I had is with Eisen’s proposed solution:

There should be no journal hierarchy, only broad journals like PLOS ONE. When papers are submitted to these journals, they should be immediately made available for free online – clearly marked to indicate that they have not yet been reviewed, but there to be used by people in the field capable of deciding on their own if the work is sound and important.

So… this already exists for large portions of mathematics and mathematical sciences and engineering in the form of ArXiV. The added suggestion is a layer of peer-review on top, so maybe ArXiV plus a StackExchange thing. Perhaps this notion is a radical shift for life sciences where Science and Nature are so dominant, but what I learn myself from looking at the ArXiV RSS feed is that the first drafts of papers that get put up there are usually not the clearest exposition of the work, and without some kind of community sanction (in the form of rejection), there is little incentive for authors to actually go back and make a cleaner version of their proof. If someone has a good idea or result but a confusing presentation they are not going to get downvoted. If someone is famous they are unlikely to get downvoted.

In the end what PLoS ONE and the ArXiV-only model for publishing does is reify and retrench the existing tit-for-tat “clubbiness” that exists in smaller academic communities. In a lot of CS conferences reviewing is double-blind as a way to address this very issue. When someone says “all academic publishing has the same problems” this misses the point, because the problems is not always with publishing but with communication. We need to understand the how the way we communicate the products scholarly knowledge is broken. In some fields, I bet you could argue that papers are inefficient and bad ways of communicating results. In this sense, academic publishing and its rapacious nature are just symptoms of a larger problem.

The NSF and the sequester

My department chair sent out a recent notice from the NSF about the impact of the sequestration order on the NSF awards.

At NSF, the major impact of sequestration will be seen in reductions to the number of new research grants and cooperative agreements awarded in FY 2013. We anticipate that the total number of new research grants will be reduced by approximately 1,000.

In FY2011 the NSF funded 11,185 proposals, so that’s an 8.94% reduction. Yikes.

How do you attend conferences?

As I’ve gotten farther along in this whole research career, I’ve found it more and more difficult to figure out the optimal way to balance the different things one does at a conference :

  • Going to talks. This is ostensibly the point of the conference. It’s impossible to read all of the papers that are out there and a talk is a fast way to get the gist of a bunch of papers or learn about a new problem in less time than it takes to really read and digest the paper. We’re social creatures so it’s more natural to get information this way.
  • Meeting collaborators to talk about research problems. I have lots of collaborators who are outside TTI and a conference is a good chance to catch up with them face-to-face, actually sit down and hammer out some details of a problem, or work on a new problem with a (potential) new collaborator. Time sitting over a notepad is time not spent in talks, though.
  • Professional networking. I’m on the job market now, and it’s important to at least chat casually with people about your research, what you think is exciting your future plans, and the like. This is sometimes the “real” point of conferences.
  • Social networking. Sometimes conferences are the only times I get to see my friends from grad school, and in a sense your professional peers are the only people who “get” your crazy obsession with esoteric problem P and like to get a beer with you.

So the question for the readership : how do you decide the right balance for yourself? Do you go in with a plan to see at least N talks or a certain set S of talks, or are you open to just huddling in the corner with a notepad?

I wrote this post in an attempt to procrastinate about ITA blogging, which I will get to in a bit. I went to far fewer talks than I expected to this year, but I’ll write about ’em later.

Postdoc opportunity at CSoI / Purdue

Postdoctoral Research Fellow ‐ Science of Information

Position Description: The Center for Science of Information (CSoI) invites nominations and applications for its CSoI Research Fellows program. The Fellows program seeks to identify and groom intellectual leaders to shape the emerging field of Science of Information and its diverse applications. The program provides opportunities for dynamic individuals to interact with premier research groups and individuals worldwide. Researchers in the Center for Science on Information have received the top awards in their fields (Rolf Nevanlinna Prize, Nobel Prize, Claude Shannon Award, and the Alan Turing Award). Research fellows will have opportunities to work in an enriching interdisciplinary environment, with significant potential for broad impact in terms of technology development, industry involvement, and educational initiatives. Successful candidates are expected to work with Center Researchers at two or more of the participating institutions. Fellows are appointed for an initial term of one year, and may be extended contingent on satisfactory performance.

Qualifications:

  • Candidate must have received a Ph.D. degree in a field related to the Science of Information within the past five years from an accredited college or university.
  • Candidates must have a track record of research contributions in information theory and/or associated areas related to the research agenda of the Center.
  • Excellent oral and written communication skills.

How to Apply: Applications should include:

  • A complete CV including education, employment history, and publications;
  • Statement of research interests, along with a short list of possible CSoI faculty they would be interested in working with; and
  • Names and contact information of at least three references

Please email nominations or applications to:
Search Committee Chair
CSoI Research Fellows Program
csoi@soihub.org

Applications will be accepted until Fellows have been selected. Review of applications will begin March 15, 2013.

About the Center for Science of Information:
CSoI is a NSF‐funded Science and Technology Center (STC) whose mission is to advance science and technology through a new quantitative understanding of the representation, communication, and processing of information in biological, physical, social, and engineered systems. The Center is a collaboration among computer scientists, mathematicians, engineers, biologists, and economists at several institutions including: Bryn Mawr, Howard, MIT, Princeton, Purdue, Stanford, Texas A&M, UC‐Berkeley, UC‐San Diego, and UIUC. Please visit the CSoI website for more information about the Center and current research activities.

The Center for Science of Information (CSoI) is committed to diversity and equality of opportunity. Applications from women, minorities, and persons with disabilities are encouraged.

My current job

I’ve had to do a lot of explaining about my current position and institution since moving here, especially when I go visit ECE departments. So I figured I might use the blog to give a quick rundown of the job. I’m a Research Assistant Professor at the Toyota Technological Institute at Chicago, a philanthropically endowed academic computer science institute located on the University of Chicago campus.

  • The Toyota Technological Institute at Chicago is a branch of the Toyota Technological Institute in Nagoya, Japan. Their website is a little slow to load, but the Wikipedia entry has more quick facts. TTI-Japan was founded through an endowment from the Toyota Motor Corporation in 1981 (so it’s younger than me). The Toyota Motor Corporation is not my employer, although some executives are on the board of the school.
  • I do not work for Toyota. My research has nothing to do with cars. At least not intentionally.
  • TTI-Chicago is basically a stand-alone computer science department and was started in 2003. It only has graduate students and grants its own degrees. It happens to be located on the University of Chicago campus — we rent two floors of a building which also contains the IT services. Classes at TTI are cross-listed with the University of Chicago — students at TTI take classes at UChicago and students at UChicago take classes at TTI.
  • I get an “affiliate” card for UChicago which lets me use the library and stuff. It’s great to have a library there, but since UChicago has no engineering, my access to IEEExplore is a bit limited.
  • The research at TTI-Chicago is mostly in machine learning, computer vision, speech processing, computational biology, and CS theory. This makes me a bit of an odd-one-out, but I have been doing more machine learning lately. It’s fun learning new perspectives on things and new problems.
  • The Research Assistant Professor position at TTI-Chicago is a 3-year position (some people have stayed for 4) which pays a 9 month salary (out of general institute funds) and gives a yearly budget for research expenses like travel/conferences and experimental costs (e.g. for Mechanical Turk or Amazon EC2). It’s not a “soft money” position but people are free to raise their summer salary through grants (like I did) or by taking a visiting position elsewhere for part of the year. I do not have to teach but can offer to teach classes or help teach classes
  • There are tenure-track faculty at TTI, and it’s the same tenure deal as elsewhere. Their teaching load is one quarter per year (that should make people jealous).
  • There are graduate students here, but not a whole lot of them. I can’t directly supervise graduate students but I can work with them on research projects. I’m starting to work with one student here and I’m pretty excited about our project.

Postdoc positions at UT Austin

The Simons Postdoc positions are open:

The ECE department at The University of Texas at Austin seeks highly qualified candidates for postdoctoral fellowship positions, lasting up to two years, in the information sciences, broadly defined. Applicants should have, or be close to completing, a PhD in ECE, CS, Math, Statistics or related fields.