..:: Dirk Burkhardt ::..
  • Home
  • About me
    • CV
    • Networks
  • Research
    • Projects
    • Scientific Publications
    • Other Publications
    • Talks
  • Development
    • References at h_da
    • References at Software AG
  • Teaching
    • Theses
    • Seminars
    • Practical Courses
  • Click to open the search input field Click to open the search input field Search
  • Menu Menu

Tag Archive for: eGovernance

You are here: Home1 / Development2 / References at Software AG3 / eGovernance

Posts

Book Chapter published in Student Handbook “Praxishandbuch Forschungsdatenmanagement”

01/02/2021/in h_da, News, Publication, Teaching, VIS Research Group/by Dirk Burkhardt

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.

The post Book Chapter published in Student Handbook “Praxishandbuch Forschungsdatenmanagement” appeared first on Human-Computer Interaction & Visual Analyitics Reasearch Group (vis) at Darmstadt University of Applied Sciences (h_da).

Three Papers Accepted at IEEE Information Technology and Management Science Conference (ITMS 2020)

12/10/2020/in h_da, News, Research, VIS Research Group/by Dirk Burkhardt

Three of our submitted collaboration papers got accepted at the this year’s IEEE Information Technology and Management Science Conference 2020. The conference aims at bringing together young scientists and researchers from information technologies and management sciences in an effort to promote and encourage cross-fertilization of ideas and tools related to the general topics of the conference, such as Information Technology, Information Systems, Computer Technologies, Data Processing, System Security and Control, Modelling and Simulation, Automatic Control, E-Commerce and E-Governance, Cloud Computing, Human Computer Interaction, Cyber-Physical Systems, Intelligent Systems, Internet of Everything.

Paper #1: Visual Analytics Indicators for Mobility and Transportation

Abstract

Visual Analytics enables a deep analysis of complex and multivariate data by applying machine learning methods and interactive visualization. These complex analyses lead to gain insights and knowledge for a variety of analytics tasks to enable the decision-making process. The enablement of decision-making processes is essential for managing and planning mobility and transportation. These are influenced by a variety of indicators such as new technological developments, ecological and economic changes, political decisions and in particular humans’ mobility behaviour. New technologies will lead to a different mobility behaviour with other constraints. These changes in mobility behaviour require analytical systems to forecast the required information and probably appearing changes. These systems must consider different perspectives and employ multiple indicators. Visual Analytics enable such analytical tasks. We introduce in this paper the main indicators for Visual Analytics for mobility and transportation that are exemplary explained through two case studies.


Links

  • Paper as PDF
  • doi:10.1109/ITMS51158.2020.9259321

More information about the technology and topic: Scitics for Visual Trend Analytics

Paper #2: Innovations in Mobility and Logistics: Assistance of Complex Analytical Processes in Visual Trend Analytics

Abstract

A variety of new technologies and ideas for businesses are arising in the domain of logistics and mobility. It can be differentiated between fundamental new approaches, e.g. central packaging stations or deliveries via drones and minor technological advancements that aim on more ecologically and economic transportation. The need for analytical systems that enable identifying new technologies, innovations, business models etc. and give also the opportunity to rate those in perspective of business relevance is growing. The users’ behavior is commonly investigated in adaptive systems, which is considering the induvial preferences of users, but neglecting often the tasks and goals of the analysis. A process-related supports could assist to solve an analytical task in a more efficient and effective way. We introduce in this paper an approach that enables non-professionals to perform visual trend analysis through an advanced process assistance based on process mining and visual adaptation. This allows generating a process model based on events, which is the baseline for process support feature calculation. These features in form of visual adaptations and the process model enable assisting non-experts in complex analytical tasks.


Links

  • Paper as PDF
  • doi:10.1109/ITMS51158.2020.9259309

More information about the technology and topic: Scitics for Visual Trend Analytics

Paper #3: On Microservice Architecture Based Communication Environment for Cycling Map Developing and Maintenance Simulator

Abstract

Urban transport infrastructure nowadays involves environmentally friendly modes of transport, the most democratic of which is cycling. Citizens will use bicycles if a reasonably designed cycle path scheme will be provided. Cyclists also need to know the characteristics and load of the planned route before the trip. Prediction can be provided by simulation, but it is often necessary to use heterogeneous and distributed models that require a specific communication environment to ensure interaction. The article describes the easy communication environment that is used to provide microservices communication and data exchange in a bicycle route design and maintenance multi-level simulator.


Links

  • Paper as PDF
  • doi:10.1109/ITMS51158.2020.9259299


The post Three Papers Accepted at IEEE Information Technology and Management Science Conference (ITMS 2020) appeared first on Human-Computer Interaction & Visual Analyitics Reasearch Group (vis) at Darmstadt University of Applied Sciences (h_da).

Portfolio Items

AI Policy Designer

Search Search

Categories

  • Events (10)
  • h_da (37)
    • Computer Science (3)
    • Information Science (1)
    • Research Center (3)
    • VIS Research Group (34)
  • News (47)
  • Personal (1)
  • Research (52)
    • Project (24)
    • Publication (6)
  • Software AG (34)
    • Events & Public Relations (13)
    • Research & Development (31)
  • Teaching (11)
  • TU Darmstadt (8)
    • Computer Science (5)
    • Interactive Graphics Systems Group (8)

Archives

Tags

AAS Analysis Big data Analytics Business Analytics CERC Circular Economy CliCE-DiPP CO2 CO2footprint Conference Data Analysis Data Visualization Digital Product Passwort E2COMATION Emission Reduction Emissions Energy Energy Efficiency Energy Optimization Energy Saving EU Europe European Event Human-Computer Interaction h_da Innovation Management LCA Product Carbon Footprint Project Research Research Project Seminar Smart Manufacturing Software AG Software AG Reasearch Sustainability Sustainability Assessment Sustainable Manufacturing Teaching Trend Analysis TrendMiner TU Darmstadt Visual Analytics Visual Trend Analytics

Recent Posts

  • Presenting CliCE-DiPP Results at the iV 202515/08/2025 - 10:48
  • Two Paper Accepted at iV 2025 Conference16/06/2025 - 16:24
  • CliCE-DiPP Consortium Meeting in Gaggenau04/06/2025 - 17:12
  • Final Project Review in E2COMATION03/04/2025 - 13:00

h_da Contact

Dipl.-Inf. Dirk Burkhardt
Darmstadt University of Applied Sciences
Department of Computer Science
Schöfferstraße 3
D-64295 Darmstadt

Visitor address:
Schöfferstraße 8
D-64295 Darmstadt
Building D19 / Office 2.13


Stay Tuned

Mind the following RSS feeds:

Personal News

Personal Publications

Links

  • Research @Software AG
  • Policy Modelling Community
  • Dozenturio – Digitale Bildung & Digitales Lernen Groß-Gerau
  • Research Group on Human-Computer Interaction & Visual Analytics @h_da
©2026 by Dirk Burkhardt
  • Link to Orcid
  • Link to Researchgate
  • Link to Google scholar
  • Link to Dblp
  • Link to LinkedIn
  • Link to Xing
  • Link to Bluesky
  • Contact/Imprint
  • Privacy
Scroll to top Scroll to top Scroll to top

This site uses cookies. By continuing to browse the site, you are agreeing to our use of cookies.

OKLearn more

Cookie and Privacy Settings



How we use cookies

We may request cookies to be set on your device. We use cookies to let us know when you visit our websites, how you interact with us, to enrich your user experience, and to customize your relationship with our website.

Click on the different category headings to find out more. You can also change some of your preferences. Note that blocking some types of cookies may impact your experience on our websites and the services we are able to offer.

Essential Website Cookies

These cookies are strictly necessary to provide you with services available through our website and to use some of its features.

Because these cookies are strictly necessary to deliver the website, refusing them will have impact how our site functions. You always can block or delete cookies by changing your browser settings and force blocking all cookies on this website. But this will always prompt you to accept/refuse cookies when revisiting our site.

We fully respect if you want to refuse cookies but to avoid asking you again and again kindly allow us to store a cookie for that. You are free to opt out any time or opt in for other cookies to get a better experience. If you refuse cookies we will remove all set cookies in our domain.

We provide you with a list of stored cookies on your computer in our domain so you can check what we stored. Due to security reasons we are not able to show or modify cookies from other domains. You can check these in your browser security settings.

Other external services

We also use different external services like Google Webfonts, Google Maps, and external Video providers. Since these providers may collect personal data like your IP address we allow you to block them here. Please be aware that this might heavily reduce the functionality and appearance of our site. Changes will take effect once you reload the page.

Google Webfont Settings:

Google Map Settings:

Google reCaptcha Settings:

Vimeo and Youtube video embeds:

Privacy Policy

You can read about our cookies and privacy settings in detail on our Privacy Policy Page.

Privacy Policy
Accept settingsHide notification only