Here’s a quote touching on something very important for me: people tend to try to reproduce structures they know to work in the “real world” into the eWorld. So, they create electronic management systems that are like real management: hierarchical, centralized and rigid. No, no and no! When will they learn that such things never win in the end?

What worked? Please look at what worked! Email and the Web. These are the things that worked… look at them!!! Both of these things have very minimal models of how people work. Look at google: it doesn’t assume much at all about your work process. Look at amazon: their main goals are fewer clicks and less structure.

I don’t want an electronic management system to tell me how to work. In fact, just stay away from monolithic tools: give me some simplistic tools (like a hammer) and let me work!

The general theme is that less management is better, and that individual learners could write all of their posts, assignments and papers from their own site, and these could be directed to each class as web feeds. The classes would aggregate the feeds from all the studens and instructors. The beauty of this kind of system is that each student keeps all of his/her content, and it does not get locked away in an inaccessible archive of a centrally controlled LMS.

From a post by Harold who was writting about a post by James Farmer

Today, I was invited to Ottawa by Apollo Systems Research Corporation which is a little company they describe as a Financial Engineering Laboratory. I think this is an accurate description. What I saw was a group of very smart and talented people working on very exciting problems.

In cooperation with a private hedge fund, Apollo has identified significant opportunities in applying rigorous mathematical methods to problems in finance. Apollo is developing a Financial Engineering Laboratory (FEL) which provides an interactive environment for the systematic development and evolution of high-performance trading strategies. These strategies are based on analytical techniques originating from systems science, soft computing and artificial intelligence. They are designed to achieve very high returns on investment and low volatility by trading without the bias of human emotions.

Harold Boley (of RuleML fame) has published some Python slides. Python is a wonderful language and I’m very happy to see that Harold is jumping on it!

Harold Boley (of RuleML fame) has published some Python slides. Python is a wonderful language and I’m very happy to see that Harold is jumping on it!

Thanks to geomblog I found out there is such a thing as daily comics about working on a Ph.D. It is pretty funny though I was so among the lucky ones when I wrote my Ph.D.: I was very naïve.

What I want to see is a follow-up where the Ph.D. student actually gets a job!

I read somewhere last night that according to a study, only 15% of Ph.D.s in science working in Québec (Canada) are on a professorship (Canada). It can be either a good or a bad thing. As for myself, after a got my Ph.D., I never could find a decent job offer in Québec that wasn’t a professorship. I know few jobs that are quite good outside academia, but I certainly don’t know many. Where are all those Ph.D.s and are they happy?

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