Two crowdsourcing “challenges” from the European Food Safety Authority (EFSA)
EFSA taps into the crowd: data mining, geospatial mapping: http://www.efsa.europa.eu/en/press/news/171116
Can you create an algorithm to extract meaningful data from a wide range of scientific literature? Do you have ideas for depicting the uncertainties linked to data? Your idea could win you a cash prize and help EFSA provide scientific advice that is essential for food safety in Europe.
The first challenge launched in November, Visualization of Uncertainty in Geospatial Data, is about visualizing the uncertainties, or the limitations in available knowledge, that affect the range and likelihood of possible answers given in ESFA assessments. A prize of up to $5,000 will be awarded; the deadline is January 2, 2018.
The second challenge, Data Mining of Scientific Literature Reviews, with a prize of $30,000, will be launched on December 1, 2017. It will involve building information extraction algorithms to identify data elements from full text scientific articles to extract relevant information for systematic reviews. Techniques such as natural language processing, machine learning, data mining, and text mining are already in use, but limitations remain in the ability to automate the entire data extraction process.
Anyone can apply after registering as a solver on the InnoCentive platform.