Training Course 1: Designing Multiple-Driver Experiments

BECoMe-2025 and SCOR’s Changing Ocean Biological Systems infrastructure group are hosting a free training course for researchers interested in learning how to design and carry out multiple-driver (i.e., multiple stressor) experiments that measure responses in microbes, plants, or animals. This training course will guide participants in using the MEDDLE resources to:
•   Define a relevant research question
•   Identify key drivers, biological traits, and responses
•   Select an appropriate experimental design
•   Develop a statistical analysis plan

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Training Course Details
Time & Date: 9:30 am - 4:30 pm, 18 August 2025 (Monday)
Location: City University of Hong Kong
Participant Limit: 24 researchers (first-come, first-served)
Eligibility: Participants should have experience in designing and conducting single-driver experiments that study biotic responses (e.g., marine warming, ocean acidification). 
Conveners: Christina McGraw, Sam Dupont, Sinéad Collins, Mridul K. Thomas, Peter Dillingham 

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Training Course 2: Data Analysis for Multiple-Driver Experiments

Researchers work hard to conduct interesting and challenging multi-driver experiments, but are often unaware of how best to analyse their data to take maximum advantage of these experiments. In this training course, participants will:
•   Learn some of the common statistical challenges that appear in multi-driver experiments and how to solve them
•   Work through an example R vignette for a multi-driver experiment
•   Simulate an example dataset based on a proposed experiment

•   Perform an appropriate analysis and visualise and interpret its output using “literate programming” via R markdown

 

Training Course Details
Time & Date:  9:30 am - 1:00 pm, 22 August 2025 (Friday)
Location: City University of Hong Kong
Participant Limit: 12 researchers (first-come, first-served)
Eligibility: Attendance at Training Course 1 (Designing Multiple-Driver Experiments) is required, as Training Course 2 builds directly on the concepts developed in the first training course. Participants should have experience with R and good knowledge of regression. Strong Python skills may also be considered, but Training Course 2 will be conducted using R.
Conveners: Peter Dillingham, Mridul K. Thomas, Sinéad Collins, Christina McGraw 

 

• For those who have successfully registered for the training course, please note that you should have received a confirmation email directly from Prof. Christina McGraw at christina.mcgraw@otago.ac.nz with further instructions.

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• There are still a few spaces available in Training Course 1. All interested participants are required to complete the registration form and submit it directly to Prof. Christina McGraw. ​​​