Research Corner
Here you can find some very interesting links and some personal suggestions (more to come):
If you are looking for a PhD topic the following links might be helpful:
- List with interesting papers in the area of Multiagent Systems compiled by Prof. Kate Larson Click Here
- A course on Social Networks and Economics. Offered by Prof. Michael Kerns Click Here
- Interesting position paper on Trust and Reputation Modeling by Audun Josang. Click Here
Advice I would give to a friend if she/he was about to start her/his PhD:
- Keep a list with all the people that have papers on the area in which you wish to do research on and that you found particularly interesting (it might be useful to organize them by continent and by university). Dedicate one/two hour every month to check the new work of these people and each time try to find one new person to add in your list.
- Make a list with all the major conferences/journals of your area or conferences/journals in which papers that you found particularly interesting were presented. If you are not familiar with the research area you can always ask your supervisor.
- Someone would suggest to write a summary for each paper you read. If you can do this, great! If not, at least make sure that you write comments on the paper. Important: buy a binder and add each paper there or just get a box and throw them there (the key point is to have them somewhere you can easily find them. Otherwise by re-printing them you both lose the comments you have written on them plus killing more trees by wasting paper.
- Try to attend as many talks in your research lab or university you can. When you attend a talk try to think hard how you could associate your problem or your solution with the one presented and vice versa. Keep notes!
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Something that I enjoy doing the
most. Try to associate the research problems you encounter with
every day life problems. For instance, you have to prepare an
important dinner but for some reason you did not do groceries, thus
you have to use only the ingredients you have home to make the best
dinner ever. Doesn't this look like an optimization problem??? (e.g.
finding the optimal quantities and combinations of the ingredients
to maximize both the taste and the appearance of the dishes you
prepare).