Tag Archive for: Research Project
Digitization and digital education are playing an increasingly important role in career guidance, career preparation, and vocational education. Various open technologies and didactic approaches are available that can be used for digital teaching in vocational education.
However, basic digital education and knowledge about the possibilities of digital teaching are often lacking. The VIS-Group is cooperating with the Groß-Gerau district and the Center for Applied Computer Science at the Darmstadt University of Applied Sciences to provide a single-source of learning materials and learning technologies in the “Dozenturio” learning system.
The intermediate results of the project were introduced in December 15th 2021 by the VIS-Group. The event started with a welcome by the District Administrator Thomas Will followed by the main goals and conceptual structure by Nicole Möhlenkamp from the Department of Education and Schools – Youth Vocational Assistance, Qualification, and Employment. Among others, representatives of the adult education centers of the district and the city of Rüsselsheim am Main, the municipal job center of the district of Groß-Gerau, the state education authority and the IT center of the district were present. District Administrator Thomas Will and First District Deputy Walter Astheimer also took part in the panel discussion.
The project website already includes various video training courses on communication systems, various selected OER learning platforms (OER: Open Educational Resources), and a variety of technologies to enable both the digital transformation and the didactical transformation of digital content. The platform is accessible to anyone who wants to learn about digital teaching and communication through www.dozenturio.de.
The goal of the project is to develop qualification modules for digital teaching, learning, advising, and communicating. In addition, demand-oriented training offers for employees of the district as well as for regional educational institutions are planned. As part of the training and qualification budget of the state of Hesse. The district of Groß-Gerau has been provided with funds for the implementation of digital learning offerings for the period from September 1, 2020 to August 31, 2022, which will be used for the project described. With this funding program, the district of Groß-Gerau is taking advantage of the opportunities offered by digitization and opening up access opportunities for multipliers, teachers, and advisors.
With the kickoff of the European collaboration project “Partnerships with Eastern Europe”, the Darmstadt University of Applied Sciences, and particularly our team, has decided to focus more on European cooperation. Our exchange project funded by the German Academic Exchange Service (DAAD) includes partners from Russia, Romania and Poland and aims at strengthening the collaboration with Eastern Europe.
Subject of our collaboration activities are machine learning and information visualization with a strong collaboration with the Technical University of Ulyanovsk in Russia. The project is set up for three years and involves various faculties of the Darmstadt University.
As witnessed by Covid19 outbreak, big data and data science are becoming vital disciplines in several application domains, mainly due to the great availability of big data collections from which it is possible to mine precious patterns of knowledge. The Internet of Things (IoT) industrial revolution has furtherly contributed to boost this trend, yielding an increased interest for data analytics techniques capable of working on streams of data and time series. This has led to the development of powerful predictive models, including deep neural networks, also thanks to the availability of powerful hardware and distributed computing paradigms. Nevertheless, one of the aspects that is hindering the contamination of Big Data and Data Science in many sectors is to be ascribed to the difficulty in explaining the rationale underlying complex data analytics processes to stakeholders. While it is well-known that the data pre-processing and analytics phases account for about 70% and 20% of the whole data analytics process, respectively, there is a remaining 10% of the effort that should be devoted to the visualization and explanation of the results, also known as data journalism. Although this is a small percentage, and for this reason overlooked by many data scientists, it is one of the most critical ones in order to draw the attention of stakeholders and motivate them to trust and invest on the adoption of Big Data and Data Science technologies. This is true also in artificial intelligence where explainable AI is also becoming crucial. One way to tackle this problem is to rely on efficient visualization metaphors and intelligent visual interaction paradigms.
In this respect, we expect interdisciplinary contributions from several research communities, such as, data mining, big data, machine learning, and human-computer interaction, to provide new scalable ways for visualizing the results of complex data analytics processes, including efficient interaction techniques to explore them. In particular, they should stimulate the active involvement of stakeholders in the data analytics process by enhancing their understanding capabilities.
Paper Submission Format and Guidelines
All submitted papers must be clearly written in English and must contain only original work, which has not been published by, or is currently under review for, any other journal, conference, symposium, or workshop. Submissions are expected to not exceed 30 pages (including figures, tables, and references) in the journal’s single-column format using 11-point font. Detailed submission guidelines are available under “Guide for Authors” at:
All manuscripts and any supplementary material should be submitted through the Elsevier Editorial System (EES). The authors must select “VSI: Big Data Science Vis” as Article Type when they reach the Article Type step in the submission process. The EES website is located at:
All papers will be peer-reviewed by at least three independent reviewers. Requests for additional information should be addressed to the guest editors.
Topics for the Special Issue
Topics of interest include, but are not limited to:
· User interfaces for data science
· Visualization of time-dependent data, geo-localized data, and maps
· Data to visualization mappings
· Interactive knowledge discovery
· Visual operators on data and knowledge
· Big data visualization in various domains (health, education, politics, …)
· Visual exploration of datasets
· Visualization of data correlations
· Visual data mining and visual knowledge discovery
· Visualization of learning models
· Visualization techniques for data profiles
· Visualization for IoT data analytics
· Visual analytics for explainable AI
· Collaborative visual analytics and data science
· Adaptive visual analytics
· Visual trend analytics
· User evaluations and case studies, reports on real cases and experiments
Submission Deadline: February 15, 2021
Author Notification: May 15, 2021
Revised Manuscript Due: July 1, 2021
Notification of Acceptance: October 1, 2021
Final Manuscript Due: October 15, 2021
Tentative Publication Date: December, 2021
Vincenzo Deufemia, University of Salerno
Kawa Nazemi, Darmstadt University of Applied Sciences
Giuseppe Polese, University of Salerno
With the kickoff of the e-Learning project Digitallabor, we are supporting the education and training strategy of digital teaching in vocational training. Especially the COVID-19 crisis increased the need for solutions and approaches to enable digital trainings. However, there are many challenges, starting with the required infrastructure, moving further to pedagogic strategies and ending in individual electronic learning features.
In the project, any step has to be cover. Together with the project partners in the field of digital education, it is intended to use the opportunities offered by digitization for vocational education and training and to open up access possibilities for multipliers and teachers.
The now started project VisCOST aims to create a European research network to promote innovation and technology management through the interdisciplinary use of methods of visual analysis, artificial intelligence, simulation, prediction and planning of new technologies and innovations for corporate purposes (smart manufacturing, early technology detection etc.), the optimization of government strategies (e-governance) and the involvement of European citizens in government decisions (e-participation) but also in research. The core targets on answering the research question “How can innovations be created and strengthened, and future technologies as well as possible scenarios be predicted by the approaches that are currently at the forefront of technology research in order to make strategic decisions in a more targeted manner?”. A very interdisciplinary research is necessary to answer this question. Knowledge from management, such as innovation, technology and information management, but also strategic planning and predictions in companies (corporate foresight) must be brought in from economics.
We have successfully initiated a new European Research Network to strengthen and supporting actions in respect of European collaborative research. The main goal of this network is to create a sustainable European (but not limited on Europe) strategic alliance to foster European research and innovation in the area of Visual Analytics, Artificial Intelligence, Simulation, Prediction, Smart Manufacturing and Technology and Innovation Management including innovations for business, manufacturing and eGovernance. On the fundament of the research network, research actions such as preparing a funding proposal (e.g. COST actions) should be faced and simplified in particular toward finding partners and expertise.
The research network is a major goal and outcome of the EuroStraNet project. The project was setup to define a strategy, build an initial fundament and finding partners to start with this new strong collaboration ship.
If you as researcher and/or representative of a research institution or company are interested in joining the network, you are more than welcome. You are just asked to mail us a logo of your institution and a brief description of your research area and interests.
Today is the kickoff of the national project AVARTIM. The project has to goal of the early recognition of technological trends and the targeted handling of market and technology signals are becoming increasingly important for companies. As part of the project, “AVARTIM” is to be used to develop a software-supported process for recognizing and evaluating trends, market and technology signals in order to sustainably support the process of innovation and technology management. As part of the project, an infrastructure will be set up at Darmstadt University of Applied Sciences, which is modular and thus able to react quickly to technological changes. The infrastructure to be developed here serves as preliminary research and initial technology both for industrial use by and with the SME partners as well as for the application for joint projects. First of all, participation in the LOEWE funding line 3 of the state of Hessen and subsequently in the tender for LEIT-ICT / Big Data technologies of the EU is aimed at.
Tag Archive for: Research Project
We are glad to announce that we get the chance to present our intended action of a collaborative European research action in Europe at the upcoming web seminar “Digital Ethics, Humanism and Research, laying the foundation for Rethinking Cities” of the Major Cities of Europe. The title of our project proposal and contribution to the web seminar will be “Research action call for proposals: Visual Trend Analytics for the Society” and is planned in frames of a European research-action.
Under our coordination of our group and in collaboration with other associated organisations MCE is cooperating as responsible for dissemination to the submission of a proposal for a european research-action. The frame should be the European Network for Cooperation in Science and Technology. It provides networking opportunities for researchers and innovators to strengthen Europe’s capacity to address scientific, technological, and societal challenges. Our proposal will be focused on Analytical Reasoning by applying machine learning approaches, artificial intelligence, natural language processing and visualizations to allow to get deep insights into the different domains of various stakeholders and enable to solve complex tasks. The main outcome of the action for municipalities will be the identification of current challenges that require analytical reasoning and providing technological solutions for these by the research-action technological partners. The current institutions that are interested in this action are listed on: https://vis.h-da.de/network.html.