Universities are Important

I'm going a little bit off the topic of this blog in this post, but since most of the research in computational intelligence is done at universities it's still relevant. In a post at the Forbes.com blog, Nathan Furr discusses four myths on why universities don't matter anymore (they do). The most salient are the top three:


1) You can teach yourself everything
2) You can teach yourself everything online
3) I don't use anything I learned at college


In regards to 1) and 2), from my own experience some students do think that: one comment on a course evaluation for the data processing course I taught in 2003 was along the lines of "this course doesn't teach anything that an enterprising student couldn't learn online". The counterpoint to that is that if they hadn't done my course, they wouldn't know what they would need to teach themselves. In other words, they wouldn't know that they didn't know.

In regards to number 3, people who say that probably just don't realise that they are using stuff they learned at university. In my own case, my undergraduate education is in software engineering and systems development, my PhD is in computational intelligence, and now I do research in ecological modelling. With every project I do in ecological modelling, I have been able to apply what I learned as either an undergrad or during my PhD.

I've spent my professional life working at universities, and I will be the first to admit that, like every human enterprise, they have their flaws: I've seen people promoted because of their political skill rather than their research, teaching skill, or managerial ability, only to have them run their departments into the ground. I've seen people build entire careers on a single piece of research, then spend the rest of their lives giving the same talk over and over again. But universities do far more useful things than bad things, so they are worth keeping around.

Call for papers: WSDM 2012

The deadline for submitting abstracts to the Fifth ACM International Conference on Web Search and Data Mining (WSDM) 2012 is 4 August 2011, while the deadline for submitting full papers is 11 August 2011. This conference will be held in Seattle, Washington, February 8-12 2012.

Call for papers: SIAM SDM 12

The deadline for submitting papers to the SIAM International Conference on Data Mining (SDM) 2012 is 14 October 2011. This conference will be held in Anaheim, California, April 26-28, 2012.

Call for papers: ISNN 2012

The deadline for submitting papers to the 2012 International Symposium on Neural Networks (ISNN 2012) is 15 January 2012. This symposium will be held in Shenyang, China, July 11-14, 2012.

I visited Shenyang in 2005 and found it to be energetic but also very friendly. Shenyang is easily my favourite city in China and I look forward to visiting again.

Teaching Materials Online

I have just made lecture materials from my undergraduate computational intelligence course available online. The lectures cover rule-based systems, fuzzy logic, artificial neural networks, evolutionary algorithms and hybrid systems. The lectures are available at: http://mike.watts.net.nz/Teaching/

These lectures were presented in the course INFO 331, Intelligent Information Systems, during my time at the Department of Information Science at the University of Otago, New Zealand. Also available at the above address are lectures I presented for the course INFO 233, Data Processing.

Deadline extended: AI 2011

The deadline for papers submitted to the 24th Australasian Joint Conference on Artificial Intelligence (AI 2011) has been extended from 28 June 2011 to 15 July 2011. This conference will be held in Perth, Western Australia, 5th to 8th December, 2011.