Jean-Luc Lebrun
Speaker: Jean-Luc Lebrun, Writer and Trainer of Scientists in communication skills
Workshop: Grant writing
Time: Monday 15th July, Tuesday 16th July 2013
Venue: Biotechnology Summer School 2013, Intercollegiate Faculty of Biotechnology, Kładki 24
Category: Invited lecture during Biotechnology Summer School
Jean-Luc Lebrun, biographical note
Jean-Luc Lebrun has managed research programs while working at Apple Computer in its Advanced Technology Research group for over ten years. He subsequently invested his energy in the commercialization of research at Kent Ridge Digital Labs, a Singapore-based IT lab. He now leaves in San Jose California.
For the past twelve years, Jean-Luc Lebrun has been conducting courses on grant writing, scientific writing, and scientific presentation for more than three thousand scientists, researchers, clinicians, and doctoral students in South East Asia and Europe. He was recently in Krakow and Warsaw giving seminars on scientific writing for the Foundation for Polish Science. He willingly agreed to return to Poland, a country he appreciates, and share with the participants to the summer school of Biotechnology his practical knowledge on grant writing.
He is an author of three books on scientific writing and scientific presentations: "Scientific Writing 2.0 - a reader and writer's guide"; "When the scientist presents" (Both published by World Scientific Publishing Inc) and "Guide Pratique de rédaction scientifique"(published by EDP - éditions de Physique).
He is also co-designer of a computer program to assess the quality of a scientific paper prior to publication (SWAN - freely accessible online at http://cs.joensuu.fi/swan/). Team Members: Jean-Luc Lebrun, Tuomo Kakkonen, Tomi Kinnunen, Henri Leisma, Ernest Arendarenko.
SWAN is a Java application that takes a typical scientific paper (not a review paper) and analyses it to detect writing problems: lack of structure, lack of fluidity, lack of clarity, lack of focus (among others). It does so with the help of the writer who answers a few questions prior to automatic analysis. It delivers an extensive diagnostic report suggesting ways to improve the paper.