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The Second ESCAPE Citizen Science Workshop

15–17 sept. 2021
Microsoft Teams Meeting
Fuseau horaire Europe/London

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Liste des Contributions

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  1. 10. Logistics
    Hugh Dickinson (The Open University)
    15/09/2021 13:00
  2. 11. Welcome
    Prof. Stephen Serjeant (The Open University)
    15/09/2021 13:05
  3. 1. Adventures in the Zooniverse
    Prof. Chris Lintott (University of Oxford)
    15/09/2021 13:25
  4. 2. GWitchHunters - A new citizen science project for Gravitational Wave Science
    Prof. Massimiliano Razzano (University of Pisa and INFN-Pisa)
    15/09/2021 13:50

    Gravitational waves have opened an entirely new window on the Universe, paving the way to a new era of multimessenger observations. Ground-based detectors such as Advanced LIGO, Advanced Virgo and KAGRA, are extremely sophisticated instruments, with the formidable task of measuring spacetime deformations smaller than 10^-18 meters, as those produced by gravitational wave sources like the...

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  5. 6. Zooniverse transcription tour: lessons learned + new features
    Dr Samantha Blickhan (Zooniverse / The Adler Planetarium)
    15/09/2021 14:15
  6. 3. Mining knitting and crochet patterns, 1900-1949
    Dr Eleanor Reed (Brunel University (Division of English))
    15/09/2021 14:55

    Domestic magazines issued between 1900 and 1949 are a vital cultural repository of knowledge about ordinary women’s daily lives during a period of upheaval, both globally and in Britain. They are also hugely under-researched, owing in part to two major methodological challenges: collecting data from vast texts, and analysing this data in ways that are sufficiently representative, nuanced, and...

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  7. 4. Welcome to the Etchiverse: A family of citizen science projects for producing expert-quality annotations for biomedical volume electron microscopy data
    Dr Martin Jones (The Crick Institute)
    15/09/2021 15:20

    The current generation of volume electron microscopy techniques routinely produce datasets in the terabyte regime. Modern computational techniques such as deep learning have shown a great deal of promise for automating the analysis of such data, but a major limitation is the lack of availability of ground truth training data which is often painstakingly generated manually by researchers. Our...

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  8. 5. Citizen Science for Solar Physical Datasets: Towards Machine-learned Insights into Solar Flares
    Thomas Chen (Association for Computing Machinery)
    15/09/2021 15:45

    In this presentation, we propose a new citizen science initiative involving citizen scientist who can help label imagery for computer vision applications for solar physics research. The end goal of this project is to develop a state-of-the-art ML model for the identification and semantic segmentation of solar flares in H alpha images.

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  9. 7. CitSci-Zooniverse Platform Integration
    Dr Greg Newman (Colorado State University), Dr Mona Wong (San Diego Supercomputer Center)
    15/09/2021 16:25
  10. 8. Building a project using the Zooniverse Project Builder
    Hugh Dickinson (The Open University)
    15/09/2021 16:50

    During this session we will demonstrate, step-by-step, how to build a new project using the Zooniverse "Project Builder" interface. The Project Builder allows researchers to design, create, deploy and manage a simple Zooniverse projects using a friendly graphical user interface.

    We will explain how to create a new project, add tutorial and pedagogical material, set up a classification...

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  11. 9. Discussion and Wrap Up
    15/09/2021 17:45