AAS231: Unlocking Your Data Through Citizen Science and Zooniverse

Hi all - For those attending the AAS this January in DC (brrrr…) I want to call your attention to the session listed below. Why? Because LSST EPO has partnered with Zooniverse to make it as easy as possible for the LSST Science Community to create citizen science projects with LSST data using the Project Builder. Citizen science will be an excellent tool for you to achieve your science dreams with the huge amounts of LSST data coming our way!

The EPO Team will be engaging with you in the coming years about this opportunity in order to understand and prepare the tools you might want for your citizen science projects and precursors using other pre-LSST data. Familiarity with the tools currently offered in the Zooniverse platform and the mechanics of how one starts CS projects is a great start.

Thanks, and let me know if you have any questions/concerns/ideas!
Amanda


Unlocking Your Data Through Citizen Science and Zooniverse

We invite all to attend this hands-on, DIY workshop to create your own Zooniverse project for free, in an afternoon. Processing our increasingly large datasets poses a bottleneck for producing real scientific outcomes. Citizen science - engaging the public in research - provides a solution, particularly when coupled with machine learning algorithms. Zooniverse is the most widely used and successful citizen science platform, with over 1.6 million volunteers worldwide and over 70 active projects across the disciplines resulting in over 120 peer-reviewed publications. Faced with a rapidly growing demand for citizen science projects, Zooniverse launched a “Project Builder” which allows you, the researcher, to build your own crowd-sourced research project using the Zooniverse infrastructure and tools. Through this hands-on workshop, you will be able to build your own Zooniverse project. We will also share best practices for engaging with our Zooniverse volunteer community. All workshop organizers, moderators, and attendees must be registered to attend the AAS conference at which the workshop is occurring.

When: Monday, 1/8/2018, 3:00 - 5:00 PM, $35

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