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Learn more about our visions and strategy for the upcoming years.
To the Englisch version of the Sendai Framework for Disaster Reduction

The call for proposals is to develop a scalable, reliable, innovative and cost-effective early warning system prototype that can be used to predict and monitor diseases. The aim is to prevent outbreaks of epidemics and mitigate their impact at local, regional and global level.
 

Call name: EIC Horizon Prize for 'Early Warning for Epidemics' 

Call ID: H2020-Epidemics-EICPrize-2020

The deadline for submissions is 1 September 2020.

To the call for tender

The 'water' journal is planning a special issue of the MDPI WATER on Recent Advances in Flood Hazard and Risk Science. Therefore, its opening a call for papers to adapt and develop new methods and techniques to properly face the challenges of a new era, where capabilities for monitoring and modelling Earth processes have dramatically increased.

Scientific contributions should include (but not restricted to): theoretical and applied developments of hydrologic and hydrodynamic modelling including morphodynamics; post-event surveys; floods and related processes monitoring; flood frequency analysis; data mining and machine learning tools for hazard, exposure and vulnerability analysis; social networks and big data analysis for risk analysis and model calibration; palaeohydrology and geochronological dating techniques; geographical information systems; risk perception, risk communication, and dissemination.

You may send your manuscript now or up until the deadline (30.09.2021), submissions will be published immediately after acceptance in an ongoing basis. Water is fully open access (unlimited and free access by readers).

Find more information here.

OSNEM is a peer-reviewed international journal that publishes high-quality scientific articles (both theoretical and experimental) and survey papers. The OSNEM usage has changed dramatically since the emergence of the pandemic. Moreover, OSNEM can be used to shed light, through big data analysis, on novel individual and social behaviours of people. 

This special issue seeks high-quality scientific articles (both theoretical and experimental) on the use of OSNEM at the time of COVID-19, to either characterise the human behaviour via large-scale OSNEM data analysis, or using OSNEM to fight the pandemic. Papers describing the process used to collect and use large-scale datasets from OSNEM platforms are welcome, provided datasets are made available to the research community.

Manuscript submission deadline: 31.07.2020

Find more information here.