BIOS² Workshop: Bridging the Science-Policy Void

Do you think science should influence policy? Do you wonder how to improve evidence-based decision making? Do you have a particular issue that you would like to bring to the attention of decision makers?

Sign up for an online workshop on Communicating science to policy makers hosted by Pr. Sarah P. Otto (UBC). This online training will be conducted in 4*90-minute sessions every Monday of March stating on March 7, 2022.

BIOS² workshop on Science for Decision Support – Scientific Advice

Event postponed.

BIOS² is organizing a training session about Science for Decision Support – Scientific Advice. This online training will be facilitated by Pr. Philippe Archambault (Laval University), in November 2021 and a future date in winter 2022.

Call for proposals: Open projects in biodiversity science and Non-NSE domains

The BIOS2 Research Funding Program supports open projects in biodiversity science and non-NSE domains proposed by academic members

The BIOS² training program provides a framework to foster collaborative, multidisciplinary and cross-sectoral research. It focuses on training the next generation of highly qualified people in quantitative ecology as well as future actors and decision makers in the biodiversity science sector. The main objectives of the program are to widen opportunities and skill sets among students and increase their recruitment in Biodiversity science in the Canadian job market. 

We are currently offering financial support for projects in biodiversity science, and in non-Natural Sciences and Engineering domains. The aim of this call is to fund projects, not students. Once the project is awarded, students are selected by the academic member(s) leading the project. 

Call for projects: BIOS² Funding Program for PhD project in partnership

The BIOS² Research Funding Program in partnership supports PhD projects proposed by non-academic partner. The overall theme of the call is “improving biodiversity assessments with new computing technologies”. 

Biodiversity science progressed in the last fifteen years due to remarkable technical advances in computing power and data availability. Biodiversity monitoring programs, along with research projects and citizen science generate massive amounts of information that can be used to predict future impacts of human actions on biodiversity. Other fields of life sciences, such as genomics, medicine, and neuroscience, have met the ‘big data’ challenge by developing computational infrastructure, data pipelines and analytical frameworks, while ecology is comparatively lagging behind. This requires a specific approach to raising  computational literacy among the future generation of ecologists.