[With apologies for cross-posting]
We're pleased to announce our support for SwipesForScience – a templating service that lets researchers quickly create mobile-friendly games for players to help with analysing large amounts of research data.
The prototype of SwipesForScience, developed at the eLife Innovation Sprint 2018 and originally called Appstract, used natural-language processing to mine free-text descriptions of scientific research and identify numerical data and text within them. These were presented to users as a game, tasking them with tapping only the values that contribute to a study’s sample size. This data could then be fed back into the natural-language processing algorithms to further improve automatic sample-size detection in research papers.
The next phase of the project will now help researchers to easily create their own games for crowdsourcing data analysis and drive their research forward. The games will support a variety of annotation tasks, including text-based annotations for meta-analyses, and image and sound-based annotations.
If you'd like more information, please don't hesitate to ask.