Machine learning

Phenology Deep Learning Workshop

• Agenda

Presentations

• Alexis Joly
• Brian Stuckey
• Alex White
• Nicky Nicholson
• Susan Mazer
• Katie Pearson
• Patrick Sweeney
• Renato Figueiredo

Notes documents - Thursday

Round One Assignment: Write the thesis paragraph for a paper outlining the major components of the perfect system for acquiring and managing phenological data from plant specimens. Restrict your paragraph to 6 sentences, the topic sentence and 5 supporting sentences addressing the 5 major components your paper will elucidate. Arrange your 5 sentences in priority order.

• Group 1
• Group 2
• Group 3
• Group 4
• Summary Round 1

Round Two Assignment: From round one, several major topics cut across most of your responses, including standards, scoring, machine learning, Computational power/cyberinfrastructure. Self-select into four groups and outline where we are and where we want to go for these components.

• Group 5 - Standards
• Group 6 - Scoring
• Group 7 - Machine learning
• Group 8 - Computational power/cyberinfrastructure

Notes documents - Friday

Round Three Assignment: From our discussions on Day 1, record what you recognize as priority issues that need to be addressed first. Think of this in terms of a project. If funds were available to begin a project, what are the critical outcomes the project should strive to achieve?

• Burning Issues for Friday

Round Four Assignment: Continuing with our project development scenario, self-select the components you are most interested in and in small groups, begin to add implementation steps to our project, thinking as concretely as possible and making a strong and convincing case for the components you envision.

• Group 9 - Questions
• Group 10 - PPO
• Group 11 - Adapting tools
• Group 12
• Group 13
• Group 14
• Group 15