Friday, November 26, 2021
IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 5, Issue 6, December 2021
Thursday, November 25, 2021
Friday, November 19, 2021
Thursday, November 18, 2021
Saturday, November 13, 2021
IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 5, Number 5, October 2021
Friday, November 12, 2021
Some interesting links that I Tweeted about this week:
Thursday, November 11, 2021
My guilty secret is that I like to browse Quora, and occasionally answer some questions. One question I wrote an answer for, was "What is it like to get a PhD when you grew up in a poor family?". Below I reproduce the answer I gave, explaining that while I wouldn't have considered myself poor by the standards of the time, I probably would be now. I also wouldn't have been able to get a PhD if I had been born twenty years later, it just wouldn't have been feasible.
For some time, whenever I went to a conference or workshop, I would ask the PhD-holding researchers I got to know, what their parents did for a living. In almost every case, their parents were professionals of some description. The number of researchers who had working-class parents, like I did, were very, very small.
This very unscientific polling leads me to believe that while improvements are being made in the diversity of researchers with respect to race and gender, the impediments caused by class to access to higher education, and ultimately becoming a researcher, are still there. It is already hard for working-class kids to access tertiary education, and the current pandemic is exacerbating that inequality. But what can we do about it?
Below is the answer I gave to the Quora question above.
Tuesday, November 9, 2021
Monday, November 8, 2021
The Pot RoastOne day a young woman was cooking a roast. Her husband asked her why she cut the ends off of the roast before putting it in the over. She replied "I don't know, that's the way my mother always did it". Later that night, she phoned her mother and asked her why she always cut the ends off of the roast before putting it in the oven. Her mother replied "I don't know, that's the way your grandmother always did it". So the young woman phoned her grandmother, and asked her why. Her grandmother replied "Because the roast was too big for the pot".
The story of the Russian sentry in the field is in a similar vein.
There might have once been a good reason for doing something a certain way, but that doesn't mean that that reason is still valid. Methods and procedures need to be re-evaluated regularly. Fixating on one way of doing things means that you can miss out on improving your methods and getting better results.
The Three Statisticians
Just because you can find an average of values, doesn't mean that that average is meaningful. This applies to other statistical measures as well. It might sound impressive if you use a complicated or obscure statistical method when processing your results, but if it's the wrong method the outcomes won't tell you anything. A good working knowledge of statistics and measurement theory is essential when analysing, and interpreting, data and results.
The Rabbit and the Fox
Some time later, a wolf was walking past the burrow when it saw the rabbit sitting outside, poring over a thick volume. "What are you doing?" the wolf asked the rabbit. "I'm proof-reading my thesis" said the rabbit "It's on the superiority of rabbits over wolves. Would you like to come inside and discuss it?". The wolf licked its lips hungrily, followed the rabbit into the rabbit burrow, and was never seen again.
A few months later, a hare was hopping through the forest past the rabbit burrow, and saw the rabbit sitting in the sun, relaxing. "What are you doing?" the hare asked the rabbit. "I'm having a break - I've just defended my thesis on the superiority of rabbits to foxes and wolves. Would you like to come inside and discuss it?". The hare followed the rabbit into the rabbit burrow. In one corner was a pile of fox bones. In another corner was a pile of wolf bones. Sitting between them was a lion.
So, it doesn't really matter what your thesis is about, as long as your supervisor is a lion.
Getting good advice when you are starting out is essential. The right mentor can set you up for life. The wrong mentor can ruin you. I've seen students lose their careers before they began simply because they chose the wrong PhD supervisor. These people have lost years of their lives and gone thousands of dollars into debt, for no gain. Some of them were pushed out before they submitted their thesis, while others failed their thesis examination because their supervisors failed to prepare them for the examination process. Be very careful when choosing a supervisor or a mentor. Better to choose a lion than a fox.