LEARNING OBJECTIVES

• Apply and extend the concepts and tools developed in the PRODIGY Ocean Data course for data collection, analysis and visualization in a field-based setting

• Develop hands-on experience deploying ocean sensors and evaluating data quality

• Gain exposure to modern instrumentation used for autonomous ocean data collection, and use these sensors to measure environmental variables and test hypotheses

• Explore the use of ocean data and models to support sustainable salmon aquaculture, seismic risk assessment and other important socio-economic areas.

We will take advantage of the field course to deploy some hands-on activities in ocean data collection, analysis, visualization, with application to decision making. Focal areas will include marine aquaculture and seismic hazards. Students from Canada and Chile will work in teams, bridging scientific disciplines to share their experiences and expertise.

CONTENTS

PART 1: Project design and framing of a testable hypothesis

PART 2: Construction and/or deployment of one or more autonomous ocean sensor

PART 3: Data analysis and interpretation

PART 4: Synthesis and communication of results

FUNDING

Selected students will receive a scholarship that includes lodging, food and materials. The cost of transportation is not included, so the participant will have to pay for his/her own transportation to Huinay.