Multiplier Event in Rome

Objective: The aim of the DISKOW Multiplier Event in Rome was to present our substantial progress with respect to the project Intellectual Outputs to a wide audience consisting of relevant stakeholders and other organizations. The multiplier event brought together important stakeholders of the project such as for example migrants in Valverde (Italy), relevant industry stakeholders and representatives of related projects and of the associated partner FSOP (Fondazione per lo Sviluppo dell´Oltrepó Pavese), Activities: The goal of the morning session is to introduce the DISKOW project to a larger audience, including guests from Valverde, providing the project context, goals and discuss…

Engineering Ingegneria Informatica hosted at its headquarters in Rome the second Italian project meeting. The meeting was held on November 19th, 2019 and was useful to discuss the progress of the project, make decisions for future steps to be taken face to face. During the meeting the project partners discussed how best to manage the next multiplier event hosted by ENG at its headquarters in Rome.

PTNX is the German data science and business analytics company located in Bonn. Our core competencies lie in the areas of research and development within smart solutions and software systems, project management and solutions for data science and business analytics areas. Human resources at Petanux have extensive experience in setting up research projects, developing innovative ideas, running successful project management and exploiting research results into the market. One of the big highlights of the Petanux is that all staff members have worked in/collaborated with different reputable and well-known research groups and companies in the frame of funded (European and German)…

Mahdi Bohlouli, Petanux

Mahdi Bohlouli is currently Assistant Professor for data science and machine learning at the Institute for Advanced Studies in Basic Sciences (IASBS) and CEO and founder of Petanux GmbH with the main research focus on applied deep learning and big data, especially in tackling misinformation (fake-news) and identification of social bots areas. This covers the use of a novel recurrent neural network approach featuring an attention mechanism. Furthermore, Mahdi leads significant researches in the areas of applied deep learning and big data analytics in services of tomorrow covering work 4.0, smart cities and web of things.

The Leibniz Universität Hannover (LUH) is one of the largest universities in Niedersachsen with about 29,000 students. The subject spectrum reaches from the natural sciences and engineering over humanities and social sciences to economics and law. The L3S Research Center is a joint research institute of several universities in Lower Saxony, Germany, associated with LUH. It includes about 80 employees and its total budget in 2017 amounted to about 8 million Euros, with about ¾ of the budget being third party funding from projects funded by the European Commission, German Research Foundation (DFG), German federal state governments or governmental institutions…

Requirement Specification Meeting in PALERMO

Engineering Ingegneria Informatica hosted at its Palermo branch the first Italian project meeting. The meeting was held on 12th – 13th June 2019 with the aim to permit to the project members to have face to face discussions about progress of Modeling & Meta-Modeling of Job Knowledge for Labor Market, Identification & Analysis of Data Sources in the European Labor Market, how to create a well-structured data as output of the Crawling and the customization for the Job Knowledge Base (JKB) data model and to discuss about next technical project steps. At the same time as the technical discussions, topics…

Requirement Analysis Meeting in BONN

Petanux hosted project members for discussions about Requirement analysis and project progress. The meeting was on 16-17 January 2019 in Bonn. Representatives of all project partners have participated in this meeting. The project requirement analysis, as well as further steps towards the identification of datasets and also visualizing the knowledge base in the frame of KNOWAGE software suit, have been further discussed.