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Kick-off Meeting of the Project “Digitallabor Groß-Gerau – Dozenturio”

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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.

More information can be found here (in German).

Our team wishes you happy christmas holidays and a happy new year!

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After the second challenging year in the pandemic, the Human-Computer Interaction and Visual Analytics team at the h_da wishes you peace, joy, and prosperity throughout the coming year 2022.

Thank you for your continuous support and partnership. We look forward to working with you in the upcoming year.

Lennart Sina defended his Master Thesis on Visual Analytics for Unstructured Data and Scalable Data Models

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In the thesis, Lennart Sina conceptualized and implemented a visual analytics system that scales data through middleware to enable more efficient analysis. For this purpose, diverse approaches and systems were investigated, which led to a coherent concept. The concept was implemented and connected to an existing database, enabling real-world use of the system and real-world conditions. The scientific contribution of the present work is three-fold: (1) the concept of a visual analytics system to scale data, (2) a novel data model, and (3) a novel and a fully implemented visual dashboard that also enables reporting.

 

 

Article Published to Visual Data Analytics in impact Magazine for Applied Research and Art

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The impact Magazine for Applied Research and Art of the Darmstadt University of Applied Sciences published an article, based on an interview with Prof. Dr. Kawa Nazemi, to the research field Visual Data Analytics.

The article is about how tangible patterns can be discerned from huge data sets with the help of visual analysis and representation, and how applicable predictions can be made using a combination of artificial and human intelligence: That is the specialty of Kawa Nazemi, professor for computer science at the h_da’s Department of Media. The head of the Human-Computer Interaction and Visual Analytics research group is a sought-after expert in this still-young field and is also successfully making his mark on the international stage.

Further information

Call for Papers to the Collaborative European Research Conference 2021

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This year’s Collaborative European Research Conference (CERC) will take place with the support of scientists and members of our team. The 7th edition of the conference aims at young academics and is primarily organized and held by colleagues from Munster Technological University (Cork, Ireland). The conference will take place from 9-10 September 2021 as blended event in presence and online/virtual.

The CERC was held for the first time in 2010 by the Darmstadt University of Applied Sciences (h_da) and the Munster Technological University (Cork, Ireland) – previously named Cork Institute of Technology (CIT) – and was originally organized by lecturers from the IT department of these two institutions. The event, which takes place alternately every year at one of the partner universities, is deliberately interdisciplinary and the presented researches cover a wide range of topics – from bioinformatics to social history. This promotes the exchange of ideas between the specialist areas and thus the opportunity for new collaborations.

CERC 2021 has the goal of a broad research program. Relevant topics for the conference include, but are not limited to, the following areas:

  • eHealth
  • Natural Language Processing and its applications
  • Internet of Things, Networks and Robotics
  • Sensors and wireless temperature measurements
  • Data Computing and Artificial Intelligence
  • Business and Society
  • Visual Computing and Data Analytics
  • Cybersecurity and cybercrime
  • BioInformatics and BioMedicine

Accepted contributions will be published in digital proceedings with an ISSN number – it is intended that publications shall be submitted to CEUR-WS for online publication, indexed among other at DBLP, Scopus, Semantic Scholar and Google Scholar. Extended versions of the best papers may be published into an upcoming special issues of “Sensors” (ISSN 1424-8220, Impact Factor: 3.275) and “Methods and Protocols” (ISSN 2409-9279; CODEN: MPERC6) Journals.

If you have interesting research results, you are invited to submit your paper by June 3oth. Interested parties can also attend the conference without a submission. Please note the information on the website: http://www.cerc-conf.eu.

Irtaza Rasheed defended his Master Thesis on Name Disambiguation on Digital Library Data for an Enhanced Profile Analysis in Visual Trend Analytics

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In his thesis, Irtaza Rasheed implementated a universal name disambiguation approach that considers almost any existing property to identify authors. After an author of a paper is identied, the normalized name writing form on the paper is used to refine the author model and even give an overview about the different writing forms of the author’s name. This can be achieved by first examine the research on Human-Computer Interaction specifically with focus on (Visual) Trend Analysis. Furthermore, a research on different name disambiguation techniques. After that, building a concept and implementing a generalized method to identify author name and affiliation disambiguation while evaluating different properties.

Book Chapter published in Student Handbook “Praxishandbuch Forschungsdatenmanagement”

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We are glad to announce that our chapter to the student handbook “Praxishandbuch Forschungsdatenmanagement” (Engl.: practice handbook research data management) was accepted and got printed at De Gruyter. Our chapter addresses the foundations of Data Visualization, which is explained on behalf of selected examples.

The book covers nowadays societal research challenges in pespective of data management and how current approaches in research can helo to handle it. Therewith, events such as the entry into force of the code “Guidelines for Safeguarding Good Scientific Practice” of the German Research Foundation (DFG) or the establishment of the National Research Data Infrastructure (NFDI) and the European Open Science Cloud (EOSC) put providers, producers and users of research data in front of specialist, technical, legal and organizational challenges. The practical handbook for research data management comprehensively covers all relevant aspects of research data management and the current framework conditions in the data ecosystem.

In particular, the practical implications of data policy and law, the respective data market, data culture, personal qualification, data management and “FAIR” data transfer and reuse are examined. The practical handbook also provides an overview of projects, developments and challenges in Research data management.

Kickoff of the European Project “Partnerships with Eastern Europe”

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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.

Further information

– More information to the project Partnerships with Eastern Europe

Our team wishes you happy christmas holidays and a happy new year!

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After an extremely challanging year, the Human-Computer Interaction and Visual Analytics team at h_da wishes you peace, joy and prosperity throughout the coming year.

Thank you for your continued support and partnership. We look forward to working with you in the years to come.

Midhad Blazevic defended his Master Thesis on Visual Search and Exploration for Scientific Publications through Similarity

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In his thesis, Midhad Blazevic alyzes exploratory search systems which use sophisticated features, visualizations and similarity-based algorithms to enhance exploratory searches. Examining how similarity algorithms are currently used in combination with elements from information retrieval, natural language processing and visualizations, but also examine what exploratory search is, what the requirements are and what makes it so special in modern times. Furthermore, the user himself or herself will be analyzed as user behavior during exploratory searches is a key factor that has to be taken into consideration when looking to optimize the exploratory search process overall. Based on these aspects, means of improvement will be developed and showcased, which will be used to determine if there is an improvement in comparison to other well-known systems. The outcome of this thesis will present a prototype of an exploratory search system along with a practical use case.

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