PREDICTING FORCED DISPLACEMENT USING A GENERALISED AND AUTOMATED AGENT-BASED SIMULATION

Within the last decades, international migration demonstrated an escalating growth with more than 68 million people forcibly displaced worldwide. Forced displacement has a huge impact on society today as 40 million people internally displaced within their home country and 25.4 million refugees fled to neighbouring countries. Forcibly displaced people face several concerns, namely, the choice to stay or flee, the choice to flee internally or across borders, and the choice of destination.

Applying machine learning methods to better understand, model and estimate mass concentrations of traffic-related pollutants at a typical street canyon

Narrow city streets surrounded by tall buildings are favorable to inducing a general effect of a “canyon” in which pollutants strongly accumulate in a relatively small area because of weak or inexistent ventilation. In this study, levels of nitrogen-oxide (NO2), elemental carbon (EC) and organic carbon (OC) mass concentrations in PM10 particles were determined to compare between seasons and different years. Daily samples were collected at one such street canyon location in the center of Zagreb in 2011, 2012 and 2013.

Jan Velimsky, Christoph Schweimer, Christine Gfrerer

Message spread on Social Media. Comparing the FPÖ and NEOS during the election campaign of the 2019 Austrian National Council Elections

Dimitrios Tsoumakos, Ioannis Giannakopoulos

Content-based Analytics: Moving Beyond Data Size

Epidemics Pilot

The recent Covid-19 outbreak has had a tremendous impact on the world, and many countries are struggling to help incoming patients and at the same time, rapidly enact new public health measures such as lock downs. Many of these decisions are guided by the outcomes of so-called Susceptible Exposed-Infectious-Recovered (SEIR) models that operate on a national level.

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ITFLOWS

ITFLOWS will generate novel insights on migration. The purpose of ITFLOWS is to provide accurate predictions and adequate management solutions of migration flows in the European Union in the phases of reception, relocation, settlement and integration of migration, according to a wide range of human factors and using multiple sources of information. These insights will be provided by an evidence-based ICT enabled solution (the EUMigraTool) and precise models.

Dennis Hoppe from HLRS and Derek Groen from Brunel will give a presentation at SC'20 - the premier conference for supercomputing - on Addressing Global Challenges with HPC and Big Data Technologies on November 17th.

More information can be found at HLRS Schedule and SC'20

SODALITE

SODALITE vision is to support Digital Transformation of European Industry through increasing design and runtime effectiveness of software-defined infrastructures, to ensure high-performance execution over dynamic heterogeneous execution environments; increasing simplicity of modelling applications and infrastructures, to improve manageability, collaboration, and time to market.

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