Press Archive 2018

On the following pages you will find past press releases by Fraunhofer IESE. If you are interested in receiving press information on a regular basis, you can also register on our mailing list for journalists. You will then automatically receive the most recent press releases in your choice of medium (e.g., e-mail or fax).

  • Improved Data Privacy for Employees

    Press Release / October 18, 2018

    The joint project “TrUSD – Transparente und selbstbestimmte Ausgestaltung der Datennutzung im Unternehmen“ (Transparent and self-determined design of data usage in organizations) started in September 2018. In this project, a practice-oriented and legally compliant approach for technology-supported employee data privacy is being developed. As one of five project partners, Fraunhofer IESE is investigating models and methods for ensuring self-determination and transparency for employees with regard of their privacy requirements.

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  • MYDATA Control Technologies for strengthening informational self-determination / 2018

    it-sa 2018: Fraunhofer IESE presents new technology for data sovereignty

    Press Release / October 01, 2018

    The exchange of data presents companies with great challenges: Granting access to one’s data without exercising control entails great risk. However, it would be counterproductive and would diminish the company’s competitiveness to forego exchange entirely. With MYDATA Control Technologies (MYDATA), the Fraunhofer Institute for Experimental Software Engineering IESE in Kaiserslautern has developed a technology for the implementation of data sovereignty to strengthen informational self-determination. How this next-generation data protection works will be demonstrated by the researchers from Fraunhofer IESE at the IT security trade fair it-sa in Nuremberg from 9 to 11 October 2018.

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  • FERAL – Validation and virtual integration for complex digital ecosystems / 2018

    Fraunhofer IESE at CEBIT 2018

    Press Release / May 30, 2018

    © Deutsche Messe AG

    At this year’s CEBIT in Hannover from 12 to 15 June 2018, Fraunhofer IESE will present its FERAL solution at the joint Fraunhofer booth in Hall 27, Booth E78. Visitors will be able to experience live how the virtual integra-tion and validation works with suitable models and “digital twins”.

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  • BaSys 4.0 – Making Industrie 4.0 easy, Fraunhofer IESE

    In the research project BaSys 4.0, the Fraunhofer Institute for Experimental Software Engineering IESE, Kaiserslautern, and its collaboration partners are developing an open-source middleware that enables the use of heterogeneous systems for Industrie 4.0. How easy this is will be shown by the researchers of Fraunhofer IESE at the Fraunhofer Booth C22 in Hall 6 from 23 to 27 April 2018.

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  • Sector coupling: The future of the energy transition / 2018

    Fraunhofer is pushing the digitalization of the energy industry

    Press Release / April 17, 2018

    © Tom Maelsa

    The reduction of CO2 emissions is one of the most urgent challenges of our times. It is an elementary factor when it comes to leading the energy transition to sustainable success. In this context, the optimal use of different energy sources plays as much a role as the sophisticated coordination of energy provision and energy consumption on site. The Fraunhofer-Gesellschaft is making great strides in the development of an open, secure, and scalable system solution, with the ideal solution being fully integrated and automated sector coupling. For this purpose, it has founded the association “Open District Hub e.V.” together with renowned business partners. Fraunhofer IESE from Kaiserslautern is also on board.

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  • © Fraunhofer CIT

    The research cluster Cognitive Internet Technologies (CIT) is being launched with the bundled competence of three research centers comprising a total of 13 Fraunhofer institutes. Its aim is to develop cognitive technologies for the Industrial Internet. Researchers from various disciplines will be developing holistic solutions along the value chain, from sensors via smart learning methods in data processing to the Cloud.

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