BIOL 651 Special Topics – Skills in Data Synthesis Science
Offered at McGill as part of the NSERC-CREATE Living Data Project
This fall (2021) a cross-Canada team of instructors from 4 universities (including McGill) is offering a cluster of 1-credit courses aimed at training graduate students in skillsets that are crucial for modern careers in ecology, evolution, and environment, and for helping address global ecological and environmental challenges: (i) Productivity and Reproducibility in Research, (ii) Scientific Data Management, (iii) Scientific Collaboration, and (iv) Synthesis Statistics for Ecology and Evolution.
Descriptions of each of these course modules can be found here.
At McGill, graduate students can enroll in a Directed Studies course (BIOL 651) that will enable the student to choose three of the four modules to attend. The fall schedules for the courses (online lecture and tutorial times) will be finalized by July 2020.
NOTE: Enrolment at the McGill campus will be limited to 15 graduate students, and will be limited students meeting the following criteria:
1. Research is in the field of Ecology & Evolutionary Biology
2. Have working knowledge of the open-source “R” software
We will additionally give preference to (i) students who require credits for their program (e.g. MSc students), and (ii) students whose thesis work includes synthesis / systematic review / data mining components.
Students who have consulted with their advisor and are interested in enrolling are asked to email Jennifer Sunday ([email protected]) and Laura Pollock ([email protected]), and to confirm they meet the enrolment criteria. Enrolment for these students will occur on a first-come, first-serve basis.
But wait, there’s more. This is all part of a larger training program called the NSERC-CREATE Living Data Project, learn more here. Students who complete the Scientific Data Management and Productivity and Reproducibility modules will be prioritized in the competition for 6 week data rescue internships ($6500 stipend, details still developing); students who complete these two modules and the internship will receive a “Certificate in Data Management and Reproducible Research” from the Canadian Institute for Ecology and Evolution (CIEE). Students who complete the Synthesis statistics and Scientific collaboration modules will be prioritized in the competition for working group participation (2 directed studies credits); students who complete these two modules and the working group will receive a “Certificate in Synthetic and Collaborative Science” from the CIEE. Learn more here.
This fall (2021) a cross-Canada team of instructors from 4 universities (including McGill) is offering a cluster of 1-credit courses aimed at training graduate students in skillsets that are crucial for modern careers in ecology, evolution, and environment, and for helping address global ecological and environmental challenges: (i) Productivity and Reproducibility in Research, (ii) Scientific Data Management, (iii) Scientific Collaboration, and (iv) Synthesis Statistics for Ecology and Evolution.
Descriptions of each of these course modules can be found here.
At McGill, graduate students can enroll in a Directed Studies course (BIOL 651) that will enable the student to choose three of the four modules to attend. The fall schedules for the courses (online lecture and tutorial times) will be finalized by July 2020.
NOTE: Enrolment at the McGill campus will be limited to 15 graduate students, and will be limited students meeting the following criteria:
1. Research is in the field of Ecology & Evolutionary Biology
2. Have working knowledge of the open-source “R” software
We will additionally give preference to (i) students who require credits for their program (e.g. MSc students), and (ii) students whose thesis work includes synthesis / systematic review / data mining components.
Students who have consulted with their advisor and are interested in enrolling are asked to email Jennifer Sunday ([email protected]) and Laura Pollock ([email protected]), and to confirm they meet the enrolment criteria. Enrolment for these students will occur on a first-come, first-serve basis.
But wait, there’s more. This is all part of a larger training program called the NSERC-CREATE Living Data Project, learn more here. Students who complete the Scientific Data Management and Productivity and Reproducibility modules will be prioritized in the competition for 6 week data rescue internships ($6500 stipend, details still developing); students who complete these two modules and the internship will receive a “Certificate in Data Management and Reproducible Research” from the Canadian Institute for Ecology and Evolution (CIEE). Students who complete the Synthesis statistics and Scientific collaboration modules will be prioritized in the competition for working group participation (2 directed studies credits); students who complete these two modules and the working group will receive a “Certificate in Synthetic and Collaborative Science” from the CIEE. Learn more here.