Designing for citizen data analysis: a cross-sectional case study of a multi-domain citizen science platform
- Submitting institution
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King's College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 126761911
- Type
- E - Conference contribution
- DOI
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10.1145/2702123.2702420
- Title of conference / published proceedings
- Designing for citizen data analysis: a cross-sectional case study of a multi-domain citizen science platform
- First page
- 4069
- Volume
- -
- Issue
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- ISSN
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- Open access status
- -
- Month of publication
- April
- Year of publication
- 2015
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
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- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Honourable mention at CHI2015. Large study of design factors with data from 14 projects and 26 forums from Zooniverse, the most popular citizen-science (CS) platform. Design implications had two major impacts: (i) they informed the scientific vision of H2020 Stars4All (688135), which developed volunteer engagement methods and tools used by 36 CS initiatives to tackle light pollution worldwide (https://stars4all.eu/lpi/); (ii) they led to a framework for citizen-centric socio-technical design with applications in smart cities, used in the Interreg2Seas project SCIFI (http://smartcityinnovation.eu/). SCIFI connects four European cities with startups, citizens and other stakeholders to solve challenges with data (http://smartcityinnovation.eu/wp-content/uploads/2019/06/7389-Final-Smarter-Cities-web-B.pdf).
- Author contribution statement
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- Non-English
- No
- English abstract
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