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Funding

SICSS Day 5

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Announcements

  • Daily logistics
  • Monday – back in our usual room in 55 Park Place
  • Overview of next week

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The Plan for Today

  • Grant Information
  • Lightning Talks
  • SCALES talk
  • Lunch
  • Design Sprint

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SICSS Grants

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SICSS ATLANTA Local Grants Competition

  • Apply to SICSS ATL for funding for your group project
    • We will award funds to promising projects on a competitive basis

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  • Applications due on July 14th

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  • The types of things we fund
    • Data purchases
    • Server space
    • Participant compensation
    • Software

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Proposal Requirements

  • 2 or more SICSS ATL participants must be on the proposal

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  • Project narrative
    • Maximum of 2 double-spaced pages

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  • Budget & justification
    • Partial funding awards are possible

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  • Data transparency and access
    • IRB approval
    • Make data or documentation available upon publication/project completion
    • Pre-register the study

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Osf.io

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Mass Collaboration

  • Synthesizes crowd-sourcing, citizen science, and collective intelligence

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Key Idea

  • Participators/collaborators NOT workers
    • Think about how this is conceptually different from Amazon Mechanical Turk or Prolific HITS

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Human Computation

  • Easy task, big scale problems where humans are better than computers (i.e. split-apply-combine)

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  • Especially useful for unconventional data types (film, audio, un-searchable text, sound)

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https://www.zooniverse.org/projects/zookeeper/galaxy-zoo/classify

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Open Call

  • Problems where solutions are easier to check than generate
  • Makes evaluation easy 🡪 best submission wins
  • Requires specialized skills

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Distributed Data Collection

  • People can be where researchers can’t on a large scale

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  • Critiques
    • Is it research
    • Data quality can be very unclear
    • Can it produce unique sources of data

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Experiments

  • Fully digital experiments have a new constraint on size: ethics

Almaatouq, Abdullah, Joshua Becker, James P. Houghton, Nicolas Paton, Duncan J. Watts, and Mark E. Whiting. "Empirica: a virtual lab for high-throughput macro-level experiments." Behavior Research Methods (2021): 1-14. https://doi.org/10.3758/s13428-020-01535-9

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Sample Size Ethics

  • Ethical number of participants especially when
    • There is uncertainty about potential harm
    • The experiment was not completely voluntary (ex: the Facebook emotional contagion study)