Dr. Giulio Valentino Dalla Riva will be presenting a seminar about common myths in data fields: raw data does not exists, data is not petrol oil, data is not the lack of theory, accuracy is bad, … .
Story of an internship by Gracielle Higino, Gabriel Dansereau and Francis Banville
Back in 2019, which feels like decades ago, we started a humble project in the Poisot lab which we called Code Hour. The goal was to set weekly hours to practice Julia, since we were all learning to use it and we could greatly benefit from each other’s help and encouragement. The project went well (although we frequently ended up spending much more than one hour). It “spilled” out of our lab and found enthusiasm at IVADO, who already had plans to promote a challenge in which participants would make a commitment to code for 100 days. That’s when our internship was born.
For someone who started the year of 2019 not quite believing in my own research, being in an international conference in December showcasing my latest results and making people intrigued by what I’ve found was a huge leap.
From December 10th-13th I was in the BES Annual Meeting in Belfast, Northern Ireland, and the first morning was a landmark in my career. It was the first time I was in an international conference, and the first time I had the chance to make an oral presentation about my research. Giving that the days before the meeting I was extremely stressed about not having the results I wanted, the first thing I learned was that, in science, every bit of result counts.
From November 15 to December 15, 2019, it is possible to apply to Calcul Québec as part of the International Internship Program of the Fonds de recherche du Québec – Nature et technologies (FRQNT) 2019-2020.
Application deadline is Dec. 31, 2019.
We are accepting applications for the fifth edition of the Data-Driven Ecological Synthesis intensive class, held from April 27 to May 3 at the Station de Biologie des Laurentides, Université de Montréal. The aim of this class is to train ecologists in state of the art techniques for data management and analysis for synthesis research. It is co-taught by Prof. Timothée Poisot and Dr. Andrew MacDonald. More information, including a link to the application form, can be found here: https://poisotlab.io/ddes/. Students from Québec universities can claim 4 credits for this class.