https://www.risk-technologies.com/home.aspx?lan=230&tab=1&itm=1&pag=12#bl2218


September 15, 2022
EU project CEM-WAVE will have its M24 Project meeting on 29-30 September 2022 at the Fraunhofer-HTL site in Bayreuth (Germany). The event would be the first physical project meeting since its inception on 1 October 2020. 
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Steinbeis EU-VRi at ECSCI 2nd workshop on critical infrastructure protection
March 10, 2022

This workshop will present the different approaches on integrated cyber and physical security in different industrial sectors, such as energy, transport, drinking and waste water, health, digital infrastructure, banking and financial market, space and public administration . The peculiarities of critical infrastructure protection in each one of these sectors will be discussed and addressed by the different projects of the ECSCI cluster that will present their outcomes, discussing the technical, ethical and societal aspects and the underlying technologies.

Clink this LINK to register the workshop

New premises and merger into Steinbeis EU-VRi GmbH
February 1, 2022

We are glad to share with you that Steinbeis Advanced Risk Technologies (R-Tech) GmbH and the European Risk and Resilience Institute (EU-VRI) EEIG have united as Steinbeis EU-VRi GmbH, as of January 1, 2022, and have moved to their new offices in the Steinbeis House for Management and Technology (SHMT) in the Plieningen-area of Stuttgart.

January 31, 2022
Steinbeis EU-VRi, HRV.SWISS und NOOVLE International bündeln ihre Kräfte, um ein innovatives Modell des lebenslangen Lernens vorzuschlagen more
January 31, 2022
Steinbeis EU-VRi, HRV.SWISS and NOOVLE International: join forces to propose an innovative model of Life-Long Learning  more
 
RISK RADAR COVID-19
https://www.risk-technologies.com/home.aspx?lan=230&tab=1&itm=1&pag=12#bl58

One way of capturing early warnings about an emerging risk is to analyze the information contained in the web. Steinbeis EU-VRi has developed a horizon scanning tool, the RiskRadar which was used to identify and assess COVID-19 related risks. The risks identified by the tool are aggregated, classified and visualized based on stakholder groups including the Public, Scientific experts and Media/News.

Results from the RiskRadar tool enables stakeholders to discuss early on, what the intended and unintended effects of the developments may be. The tool uses an automated Natural Language Processing (NLP) technique to rank a set of publicly available documents (news articles, blog posts, abstracts from scientific journals etc.) according to their potential to generate risks/impact. The tool considers the textual data over a period of time for a given topic, uses this information to perform data analytics to rank the relevance or importance of the documents and related keywords based on document centrality. Centrality is a simple indicator for gauging the impact of the document that captures the frequency of the terms, but also how these terms are related to each other.

The results from the RiskRadar can be visualized using the Radar and a Network map. The former includes a list of risks-related keywords on a radar-like widget, along with the list of sources used for extracting and ranking these keywords. The position of the keywords (shown in yellow dots) on the radar indicates its importance where the closer to the centre the term is, the more “relevant” a keyword is in documents related to the COVID-19 coronavirus analysis. The Network map includes a short description of the topic (shown in green circle) connected to the most common keywords (shown in blue circles) and the articles (in colors of red, orange and yellow). The color and size of the collected articles are designated based on their relevance; the larger circle has the highest applicability to the topic.

By looking at different sources (e.g. “science, “media” and/or “public”) the system identifies the topics of interests in the information parsed and assigns them the respective risk scores according to the criteria set (e.g. sentiment, credibility of source, context, etc.). The early warning is identified on the basis of the relation of the terms in search, not on simple “word bagging”. The tool allows user to drill-down to the initial source of information and obtain the background information (e.g. the full-text report).

 
https://www.risk-technologies.com/home.aspx?lan=230&tab=1&itm=1&pag=12#bl3539

In order to provide the optimal service and results, Steinbeis EU-VRi has dedicated units for specific area of

"Advanced Risk Technologies" such as:

Technology Transfer

Education

Research & Development

 

Industrial Service

EU-related issues

Innovation

 

 
https://www.risk-technologies.com/home.aspx?lan=230&tab=1&itm=1&pag=12#bl6468

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