The First ESCAPE Citizen Science Workshop will feature showcases of successful citizen science projects in several research fields covered by the ESCAPE Science Partners. There will also be a series of hands-on tutorials in which you will learn how to build your own citizen science project, implement advanced statistical aggregation methods and integrate machine learning.
Purpose & Scope
Who should attend?
The workshop is aimed at researchers in fields that are aligned with the ESCAPE ESFRI projects. We welcome all interested ESCAPE members but we particularly encourage participation for researchers with existing ideas about how citizen science might be used to further their research.
Key Benefits?
Attendees will learn how to build citizen science projects that will enhance the quality and impact of their research. They will learn about the advanced technologies that can be coupled with their projects to improve accuracy and efficiency. They will also learn how citizen science can be used in conjunction with machine learning to generate training data and refine the predictions of trained machine learning models.
Draft Agenda
Wednesday, 2 December
- 13:00 → 13:30 Welcome: Introduction and the agenda for day 1. A short overview of the logistics, topics and goals for the meeting.
- 13:30 → 14:30 What is possible?: A showcase of existing citizen science projects. Learn how you can use citizen science in your research.
- 14:30 → 14:45 Break
- 14:45 → 15:45 What is possible?: A showcase of technologies for citizen science. Learn how you can use citizen science in your research.
- 15:45 → 16:00 Break
- 16:00 → 17:00 What is possible?: Building a project using the Zooniverse project builder.
Thursday, 3 December
- 13:00 → 13:15 Welcome: Agenda for day 2.
- 13:15 → 14:15 Tutorials: Building a Zooniverse Projects. Hands-on tutorials using citizen science tools and technologies.
- 14:15 → 14:30 Break
- 14:30 → 15:30 Tutorials: The Caesar Engine: Advanced aggregation and retirement. Hands-on tutorials using citizen science tools and technologies.
- 15:30 → 15:45 Break
- 15:45 → 16:45 Tutorials: Integrating Machine Learning Hands-on tutorials using citizen science tools and technologies.
Friday, 4 December
- 13:00 → 13:15 Welcome: Agenda for day 3.
- 13:15 → 17:00 Project Building: Build your own projects. Start building your projects with help from the experts