Povl Abrahamsen, British Antarctic Survey A few years ago, the British Natural Environment Research Council (NERC) went unexpectedly viral when the Internet took over a voting campaign to name a new research vessel. Left open for suggestions, the poll became…
Boaty McBoatface has gone where no autonomous vehicle has ever gone before — and come back with answers. The little submarine that could has found a link between increasing Antarctic winds and rising sea temperatures. The robotic sub earned its…
The use of Bitcoin causes around 22 megatons in carbon dioxide emissions annually — comparable to the total emissions of cities such as Las Vegas or Hamburg.
(Karlsruher Institut für Technologie (KIT) ) Extreme weather events, such as thunderstorms or heavy rainfall and the resulting floods, influence Earth and environmental systems in the long term. To holistically study the impacts of hydrological extremes — from precipitation to water entering the ground to discharge to flow into the ocean — a measurement campaign at Müglitztal/Saxony is about to start under the MOSES Helmholtz Initiative. The measurement campaign is coordinated by Karlsruhe Institute of Technology (KIT).
(Consejo Cultural Mundial) The winner of the 2019 Albert Einstein World Award of Science is Dr. Zhong Lin Wang, Chair and Regents Professor, School of Materials Science & Engineering at Georgia Institute of Technology, USA. The 2019 Leonardo da Vinci World Award of Arts will be presented to Portuguese independent film producer, Paulo Branco.
(Technical University of Munich (TUM)) The use of Bitcoin causes around 22 megatons in CO2 emissions annually — comparable to the total emissions of cities such as Hamburg or Las Vegas. That is the conclusion of the most detailed analysis to date of the cryptocurrency’s carbon footprint. For their study, an interdisciplinary team of researchers at the Technical University of Munich (TUM) analyzed such data as the IPO filings of hardware manufacturers and the IP addresses of Bitcoin ‘miners.’
(Institute of Atmospheric Physics, Chinese Academy of Sciences) The use of prevalent technologies and crowdsourced data may benefit weather forecasting and atmospheric research. The data from these new ‘sensors’ could be assimilated into high-resolution numerical prediction models, and thus may lead to improvements in forecasting capabilities. The contribution to public health and safety as a result could potentially be of significant value.