SWEEET 2020: Navigating challenges in and out of academia: How do intersecting discriminations hinder our career paths? As graduate students, we are often confronted to the question “What will you do after your degree?”. For many of us, this question is shrouded in anxiety. Whether we end up in academia, in industry, working for the government or with the public, the path may be made easier or harder based on the privileges we have or lack. Navigating these paths present different challenges that will affect people in drastically different ways depending on the discrimination they are already facing. Read more here.
Introduction to mapping with Q-GIS Geographic Information Systems (GIS) are the integration of earth science and computer technologies that conduct spatial analysis using computer tools/software. Over the years, this discipline has become popular among ecologists. This workshop aims to introduce students and early career professionals to the basic application of mapping and spatial data using QGIS software and will allow participants to create maps for their own purposes. Read more here.
Fast-R: Making R work hard so that you don’t have to Research in ecology and evolution presents a challenge with diverse and complicated datasets. With the wide-spread adoption of R for data management and analysis, there is huge potential for improving the efficiency of processing data. However, there is a significant learning curve with R that inhibits our ability to learn faster methods. Read more here.
Creating Effective Infographics/Graphical Abstracts Infographics are an increasingly popular tool for scientists to communicate their research and are increasingly encouraged by scientific journals in the form of graphical abstracts. This approachable, interactive workshop will build participants’ ability to think visually, regardless of their drawing skills, and provide helpful tips and tools to create their own infographics. Read more here.
Scenario Modeling for Biodiversity Intactness The Biodiversity Intactness Index (BII) is a high profile, multi-taxa, indicator that tracks changes in species predicted relative abundances (Scholes & Biggs 2005 DOI: 10.1038/nature03289; Newbold et al. 2016 DOI: 10.1126/science.aaf2201). The underlying data required for the BII requires a large-scale monitoring effort, and detailed knowledge of the raw data. Read more here.
Establishing a long-term ecological research network: a platform for knowledge sharing and collaboration There are numerous examples of the central role that long-term research projects (LTRPs) play in understanding ecological and evolutionary processes. Additionally, there is an overwhelming amount of evidence showing the importance of long-term studies in identifying and resolving local and global environmental issues. Read more here.
The mgcv package as a one-stop-shop for fitting non-linear ecological models To address the increase in both quantity and complexity of available data, ecologists require flexible, robust statistical models, as well as software to perform such analyses. This workshop will focus on how a single tool, the R mgcv package, can be used to fit Generalized Additive Models (GAMs) to data from a wide range of sources. Read more here.
How to Navigate Research Data Management: DMPs, data deposition and beyond! The research data management (RDM) landscape in Canada is rapidly evolving - from funder policies, to institutional strategies, data management planning, data deposition and beyond! This workshop will provide an overview of the changing Canadian RDM landscape, including the Tri-Agencies’ RDM policies as well as support and services available to researchers to help meet impending requirements. Read more here.