Our Core demonstration projects have pre-defined goals and associated research groups. They will make use of the full-scale Zooniverse platform and global community of citizen scientists, focussing on astronomy and disaster relief. Accompanying educational resources will enable school groups to become active participants, and the projects will also be open to the general public to get involved.
The Herschel Space Observatory's rich science archive remains extremely valuable, and large parts of the archive are under-explored. It's observations in the sub-millimetre and far infrared wavelengths have provided data which have given us a unique view of the Milky' Way's extended gas and dust clouds. Accurate identification of the complex structures involved in the process of star formation is a pattern recognition task that eludes even sophisticated computer algorithms.
We will build a citizen science project to tag and map these structures in the Milky Way, and will publicly release a catalogue of these features for use by both citizen and professional scientists alike in studying the complex process of star formation.
Gaia is a groundbreaking ESA mission that will advance our understanding of how our galaxy and similar galaxies formed and evolved. It plans to chart one billion stars in the Milky Way, but will also capture the transient light
from exploding stars in distant galaxies. In its first year of operations at least one of these is
likely to be from a type 1a supernova, a particular form of intensely bright explosion that can be used to precisely measure the expansion of the Universe
Their detection requires advanced
pattern recognition ability, very well suited to humans. This project will search for such an explosion among a billion stars, and will help to
refine future measurements of the age, expansion & basic properties of the Universe.
In the field of disaster relief and management, fast and accurate analysis of satellite and other data produced during and immediately following a crisis is critically important, particularly for those seeking to respond rapidly. But the volume of data can be overwhelming: often there are not enough experts in the world to comb through data and extract high-value information within a useful timeframe.
In this project, through special arrangements with satellite imagery providers, we will make use of recent pre-crisis imagery alongside post-disaster data for major crisis events, to enable rapid evaluation of changes in terrain and population, and enable robust analysis of large and diverse image datasets.