More than 80 cosmonauts and astronauts from 20 countries met with youngsters and members of the public in Minsk, Belarus, during the XXXI Planetary Congress of the Association of Space Explorers.
Eduroam is expanding across countries and beyond campuses to support mobility for academics, students and researchers globally, with Tajikistan being among the latest country to join the eduroam family.
Observations from the “Internet of things”, such as intelligent cars, phones, buildings and personal weather stations added to the mix can provide detailed information on local to hyper-local meteorological phenomena.
Researchers from across Europe are hard at work developing a robot that autonomously roams a greenhouse, “eye-balling” sweet peppers to check if they have reached optimal ripeness, and then plucks them off the plant and places them in a vat – all automatically.
Two Norwegian universities have launched a joint master programme training musical and artistic collaboration over the Internet, with super-fast connectivity linking two experimental labs, 500 km apart.
For the first time, air pollution from individual cities and built-up areas can be detected from space. The European Sentinel-5 Precursor Earth observation satellite sends ultra precise measurement data to ground stations in Norway and Canada.
R&E networks make hydro-meteorological monitoring data accessible to scientists and local authorities for informed water supply assessment and management in Central Asia
As research becomes increasingly data driven, more and more researchers need tailor-made software for their research projects. The CodeRefinery project is training them to code.
Using the HPC Cloud, a new strategy has been developed to make microscopes more sensitive, helping with the study of living organic substances (such as cancer cells).
Data transmission between the astronomical observatories of the Canary Islands and the world increased tenfold since improving its connection to RedIRIS in 2012
The research field of proteomics contributes to important new medical insights, producing vast amounts of data along the way. To convert these massive amounts of proteomics data into knowledge requires dedicated computing and storage capacity.