Sociologist Joseph Hermanowicz’ new book Lives in Science How Institutions Affect Academic Careers describes how the prestige of academic institutions often shapes the career of the individual.

“For all but a handful of the scientists he studies, the prestige of their institution pretty much determines their professional–and even their personal–destiny. Of the more than 4000 institutions of higher learning in the United States where a scientist can get a faculty post–ranging from world-renowned research universities to local community colleges–only a very limited number possess the resources, reputation, and connections needed for research careers at the highest levels of recognition.”

Click here for a full review of Hermanowicz’ book.

Submitted by Kevin Lindstrom Physical Sciences and Engineering Liaison Librarian

The newest issue of the Science has a short editorial titled “Becoming a Scientist“.

Personally, I found t his short piece to be very interested and not intuitive…take a look – http://www.sciencemag.org/cgi/content/full/326/5955/916?rss=1

Last month, UBC Computer Science Professors David Kirkpatrick and Alan Mackworth have been elected as Fellows the Royal Society of Canada (RSC). The RSC, founded in 1882, is Canada’s oldest and most prestigious scholarly organization. Election to the society is the highest honour that can be attained by scholars, artists and scientists in Canada. This year’s new Fellows will be inducted at a ceremony Nov. 28, 2009 in Ottawa.

It is a great honour for UBC Department of Computer Science that half of the UBC Fellows elected this year are from the department. “Alan and David are both brilliant scientists whose hard-won insights have had enormous impact on computer science internationally.  Our department has always known that they are national treasures in our midst and we are thrilled that they are being recognized by the Royal Society of Canada with this honour,” says Department Head William Aiello.

superhero

Most of us spend our university education taking the standard, required courses, there are more than just the basics out there when it comes to some science classes.

This blog post list some of the most hilarious of them – http://www.onlineuniversities.com/blog/2009/10/100-hilarious-college-courses-that-really-exist/

Personally, I would love to take some of the science classes such as :

The Science of Superheroes: While it might sound like fun and games, this course takes superheroes as a means to teach students real lessons about physics. [U of California Irvine] or Lego Robotics: Legos can help you build more than just that TIE Fighter, they can also be used to make real robots, as this course will show students. [MIT]

** Photo by http://www.flickr.com/photos/jocorvera/

computers

This month, ScienceWatch.com, has  listed the ISI ranking in Computer Sciences by citations per paper—among countries that collected 5,000 or more citations during the period—to reveal weighted impact.

http://sciencewatch.com/dr/cou/2009/09octCOM/

“For articles with multiple authors from different nations, each nation receives full, not fractional, citation credit. Essential Science Indicators lists nations ranked in the top 50% for a field over a given period, based on total citations. In Computer Sciences, 79 nations are listed, meaning 158 were surveyed. 27 nations collected at least 5,000 citations during the period. The average citation rate for field of Computer Sciences is 3.14.”

It is great to see Canada listed as #8 (but after Scotland?)…

** photo by http://www.flickr.com/photos/rogersmith/

2849071314_779c2a1058_m

A new article today in the Journal of the American Society for Information Science could be of interest to those of you who post their studies to arxiv.org:

A. Haque and P. Ginsparg, “Positional effects on citation and readership in arXiv,” J. Am. Soc. Inf. Sci. Technol., vol. 60, pp. 2203-2218, 2009.

Abstract:

arXiv.org mediates contact with the literature for entire scholarly communities, providing both archival access and daily email and web announcements of new materials. We confirm and extend a surprising correlation between article position in these initial announcements and later citation impact, due primarily to intentional self-promotion by authors. There is, however, also a pure visibility effect: the subset of articles accidentally in early positions fared measurably better in the long-term citation record. Articles in astrophysics (astro-ph) and two large subcommunities of theoretical high energy physics (hep-th and hep-ph) announced in position 1, for example, respectively received median numbers of citations 83%, 50%, and 100% higher than those lower down, while the subsets there accidentally had 44%, 38%, and 71% visibility boosts. We also consider the positional effects on early readership. The median numbers of early full text downloads for astro-ph, hep-th, and hep-ph articles announced in position 1 were 82%, 61%, and 58% higher than for lower positions, respectively, and those there accidentally had medians visibility-boosted by 53%, 44%, and 46%. Finally, we correlate a variety of readership features with long-term citations, using machine learning methods, and conclude with some observations on impact metrics and the dangers of recommender mechanisms.

** Photo by http://www.flickr.com/photos/easternblot/ – “Paul Ginsparg shows that everyone submits their paper to ArXiv *just* after the submission deadline so they’ll be the first on the front page the next day”

Those of us, who teach or use Google or Google Scholar (GS)  might find the most recent Peter Jacso’s piece on Google Scholar to be of interest – http://www.libraryjournal.com/article/CA6698580.html?&rid=1105906703&source=title

Please be very careful using this tool. We talk about the perils of GS and compare it with Compendex and Web of Science in our Google workshops.

We ourselves saw those problems almost five years ago, and they are still not corrected:

Giustini D, & Barsky E. A look at Google Scholar, PubMed and Scirus: comparisons and recommendations . J Can Health Libr Assoc 2005, 26(3): 85-89.

“Vanish is a research system designed to give users control over the lifetime of personal data stored on the web or in the cloud. Specifically, all copies of Vanish encrypted data — even archived or cached copies — will become permanently unreadable at a specific time, without any action on the part of the user or any third party or centralized service.”

“For example, using the Firefox Vanish plugin, a user can create an email, a Google Doc document, a Facebook message, or a blog comment — specifying that the document or message should “vanish” in 8 hours. Before that 8-hour timeout expires, anyone who has access to the data can read it; however after that timer expires, nobody can read that web content — not the user, not Google, not Facebook, not a hacker who breaks into the cloud service, and not even someone who obtains a warrant for that data. That data — regardless of where stored or archived prior to the timeout — simply self-destructs and becomes permanently unreadable.”

For more information, visit the Vanish site at the Department of Computer Science, University of Washington.

There is a also a technical paper that will be presented at the 18th USENIX Security Symposium taking place this August in Montreal.

Submitted by Kevin Lindstrom Liaison Librarian for Electrical and Computer Engineering

wireless

BBC has featured an article about wireless power systems – http://news.bbc.co.uk/2/hi/technology/8165928.stm

There is lots of research found in our IEEE database about this topic – 302 papers, give it a try here – http://tinyurl.com/luagqe (for UBC folks only)…

** photo by http://www.flickr.com/photos/andresrueda/

science, laser

A very recent article on PLoS One is worth the read -

Bollen J, Van de Sompel H, Hagberg A, Chute R, 2009 A Principal Component Analysis of 39 Scientific Impact Measures. PLoS ONE 4(6): e6022. doi:10.1371/journal.pone.0006022

Abstract:

Background

The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been proposed on the basis of social network analysis and usage log data. Here we investigate how these new measures relate to each other, and how accurately and completely they express scientific impact.

Methodology

We performed a principal component analysis of the rankings produced by 39 existing and proposed measures of scholarly impact that were calculated on the basis of both citation and usage log data.

Conclusions

Our results indicate that the notion of scientific impact is a multi-dimensional construct that can not be adequately measured by any single indicator, although some measures are more suitable than others. The commonly used citation Impact Factor is not positioned at the core of this construct, but at its periphery, and should thus be used with caution.

Frankly,  I was surprised by the authors’ conclusion, particularly with this piece: “Our results indicate that the JIF and SJR express a rather particular aspect of scientific impact that may not be at the core of the notion of scientific “impact”. Usage-based measures such as Usage Closeness centrality may in fact be better “consensus” measures.”

I am used to be inquired about Journal Impact Factor (JIF) so often in academia and know that it used for tenure consideration in many departments in UBC.

** photo by testone 22


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