22c:295 - Seminar on Artificial Intelligence

Reference sites

• CiteSeer,
  Great site to find references and citations of CS research.

• DBLP,
  Very large bibliography site.

For paper/presentation reviews

• Criteria for evaluating a paper,

• Criteria for evaluating a talk,

• A Guide for New Referees in Theoretical Computer Science, Ian Parberry.
  A referee's guide for theoretical computer science.

On Writing Research Papers/Abstracts

• How to Have Your Abstract Rejected, by Mary-Claire van Leunen and Richard Lipton.
  Dos and don'ts for preparing an extended abstract for conference submission.

• Advice to Authors of Extended Abstracts, by William Pugh.

• How (and How Not) to Write a Good Systems Paper, by Roy Levin and David D. Redell.

• Some Hints on Mathematical Style, by David Goss.

On Giving Research Talks

• Advice for new speakers by Aaron Stump.
  Nice set of suggestions for new (and not so new) speakers.

• How to Give a Good Research Talk by Simon Peyton Jones et al.
  Some useful suggestions.

• How to Present a Paper in Theoretical Computer Science, Ian Parberry.
  More suggestions, with emphasis on presenting theoretical work.

On Being a Successful Graduate Student/Researcher

• How to Be a Good Graduate Student by Marie desJardins.
  Discusses some issues that are important for graduate students to be successful.

• A Letter to Research Students, by Duane A. Bailey.

• How to Have a Bad Career in Research/Academia by David A. Patterson.
  Some very bad, but incredibly common, mistakes researchers make in their careers.

• Empirical Methods for AI and CS by Paul Cohen et al.
  Great tutorial on very common, and very big, mistakes experimental AI researchers make, and suggestions on how to avoid them. Applies to experimental CS in general. (In PowerPoint format.)