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Research

Current Projects

Better protection of employee data for economic success (EduMiDa)

Due to high cost pressures, companies increasingly resort to so-called agile ressource planning, e.g. the real-time collection of location data of employees to avoid idle times and the associated costs. Such data can be very sensitive though, and should thus be collected in a privacy-friendly way in order to protect employees.

It is the objective of the project "Success through Employee Data Protection" (EduMiDa) to research and to develop automatedly verifiable metrics, with the help of which employees can control how their data is protected. The metrics also support works councils and company data protection officers in their cooperation and control duties. The EduMiDa project team also investigates the economic contexts of measures of employee data protection to assess the adequacy of data protection measures from a legal as well as an economic point of view. A selection of the developed metrics are to be implemented in a demonstrator and to be tested in a real-life application scenario.

The IGMR supports the research project with its legal expertise in the field of employee data protection law. Project partner of the University of Bremen (IGMR) are the Fraunhofer Institute for Secure Information Technology (SIT), Darmstadt (Coordinator), the University of Münster and the application partner p.l.i. solutions GmbH, Gütersloh. The project is funded by the Federal Ministry of Education and Research.

https://www.forschung-it-sicherheit-kommunikationssysteme.de/projekte/edumida

Duration: 1.6.2021 - 30.11.2023

NFDI4Health

A multidisciplinary team of researchers is building a research database for personal health data in Germany: NFDI4Health.The project is funded by the Federal Government and the Länder and coordinated by the German Research Foundation, initially for five years. The IGMR participates in the project as a partner.

Access to detailed information on a large and unselected number of patients is pivotal to advance patient stratification, to support personalized medicine, find new therapy options and to improve patient care. In Germany, there exist a high number of different health data resources such as clinical, epidemiological or public health studies distributed over various research institutions and public authorities.

Access to and use of this data is restricted by data protection laws due to the legitimate interests of the study subjects. Besides these important restrictions, access to research data is still hampered mainly by missing interoperability of data types, poor data linkage opportunities, and the lack of protected data sharing environments and settings, which would allow automatic access to data.In the interest of improving population health through better and broader data re-use in Germany, NFDI4Health maps out a national research strategy focusing on personal health data.

https://www.nfdi4health.de

INTUITIV - Nonverbal und Informative-Verbal Human-Robot communication

The IGMR participates in the INTUITIV project as a subcontractor of the German Research Center for Artificial Intelligenc(DFKI). The project aims at investigating how intentions of a robot can be understood by humans through anticipatory path selection in combination with iconic and verbal communication, so that the discomfort due to uncertainty regarding the actions of a robot is minimized.

The IGMR provides legal support for the project, in particular in order to guarantee the legal confirmity of study conditions (legal conformity of information of test subjects and declarations of consent, safety of use of robots etc.) and data processing as well as to identify liability risks and the legal requirements for the use of service and transport robots in public spaces. The focus is on questions of data protection law, liability law, medical devices law and public law requirements.

https://www.dfki.de/en/web/research/projects-and-publications/projects-overview/projekt/intuitiv/

Duration of subcontract: 2019 - 2021

PersonA

The support of work processes through digital assistance systems has permeated all value-creation areas, from production to technical service. So-called wearables such as smartwatches or augmented reality glasses assist in assembly and repair. These digital work tools enable employees to have both hands free for their actual task. However, wearables also allow for the collection and processing of large amounts of personal data in this context, such as data on motion sequences, resting pulse, blood pressure and bioimpedance, but also photographs, video and audio recordings of the employee's immediatete enviroment.

In principle, the collection and analysis of personal data has a valuable potential for companies as well as employees. Wearables can provide customised, i.e. personalised (real-time) assistance for the individual employee in this way. The assistance provided may be dynamically adapted to the continuously determined individual level of knowledge - the more heterogenous the qualification structures of employees, the more profitable the use of personalised assistance, for the company as well as for the individual employee.

In practice, the success of such assistance systems depends on employees' acceptance on the one hand and on the legal conformity of the developed solutions on the other. Employees might be concerned that the data will be misused for other purposes such as the assessment of their productivity, performance, quality of work or even lifestyle. Every advantage of personalised assistance would recede to the background under such circumstances, with the consequence of low acceptance of the new assistance system. Also, an assistance system has to take into account the applicable legal framework conditions in order to establish itself as a - lawful - product on the market. The PersonA project aims to create a privacy-management system for the collection and use of personal data within the framework of personalised assistance systems, which will increase employees' acceptance while guaranteeing legal conformity, and, moreover, can by applied in different sectors and for different work processes.

The joint project will be carried out by the IGMR in cooperation with the markstones Institute and the Ruhr University Bochum. Practice cooperations include the nextpractice Institute of Complexity and Change gGmbH, the Ubimax GmbH, the WS System GmbH and the KEMPER GmbH. The project started in September 2019 and will run for three years.It is funded by the Federal Ministry of Education and Reesearch and the European Social Fund with 1.5 Mio. Euro.

Duration: 2019-2022

Safety in Food Production and Logistics through Distributed-Ledger Technology (NutriSafe)

Since February 2019 the IGMR participates in the joint project NutriSafe funded by the Federal Ministry of  Education and Research.

The internationalisation and digitalisation of production and trade has led to higly complex and networked structures. Austria and Germany have therefore decided to join forces and research on a bilateral basis in order to provide the best possible protection for safety-relevant trade chains. The EHEC and Fipronil scandals have shown that food safety and traceability of supply chains are not only important in crisis situations. Information systems play a central role in this context and new technologies can help to make them as safe as possible.

It is the objective of NutriSafe to protect food production and trade against digital attacks such as manipulation of data and systems and to enhance their resilience. To this purpose, technologies, data models, business processes, service architecure and business models are to be developed and made available as components in a modular construction system. It is important to ensure that the various existing insular systems will be connected to the new comprehensive solution. Legal support, an evaluation of results with the associated partners and the development of recommendations for action will ensure the practicability of the system.

The modular construction system is to enable above all SMEs to use blockchain technologies to cost-efficiently safeguard digital information chains. A closed digitial information chain from the purchaser to the consumer will optimise the traceability of goods as well as the fast  restoration of supply.

Duration: 2019-2021