Projects

SPECIAL

https://www.specialprivacy.eu/

The SPECIAL project addresses the contradiction between Big Data innovation and privacy-aware data protection by proposing a technical solution that makes both of these goals realistic. SPECIAL allows citizens and organisations to share more data, while guaranteeing data protection compliance, thus enabling both trust and the creation of valuable new insights from shared data. The SPECIAL (Scalable Policy-aware Linked Data Architecture For Privacy, Transparency and Compliance) project is a Research and Innovation Action. The project started on the 1st of January 2017 and will continue for three years.

Algorithmic Management

The algorithmic management project studies decent working conditions in a socio-technical context. The increase in platform-based employment in different areas requires a deeper understanding of the structural role of algorithms in work environments. Automated digital platforms, such as Amazon, Uber or Clickworker manage the interaction of workers through algorithms. The process of assigning or changing a sequence of individual to be completed tasks is often a fully automated process. This means that algorithms may partly act like a manager, who exercises control over a large number of decentralised workers.

https://www.boeckler.de/11145.htm?projekt=S-2017-464-2

P7000 - Model Process for Addressing Ethical Concerns During System Design

https://standards.ieee.org/develop/project/7000.html 

Engineers, technologists and other project stakeholders need a methodology for identifying, analyzing and reconciling ethical concerns of end users at the beginning of systems and software life cycles. The purpose of this standard is to enable the pragmatic application of this type of Value-Based System Design methodology which demonstrates that conceptual analysis of values and an extensive feasibility analysis can help to refine ethical system requirements in systems and software life cycles. This standard will provide engineers and technologists with an implementable process aligning innovation management processes, IS system design approaches and software engineering methods to minimize ethical risk for their organizations, stakeholders and end users.The standard establishes a process model by which engineers and technologists can address ethical consideration throughout the various stages of system initiation, analysis and design. Expected process requirements include management and engineering view of new IT product development, computer ethics and IT system design, value-sensitive design, and, stakeholder involvement in ethical IT system design.

DALICC

https://www.dalicc.net/

The DALICC project aims to develop a software framework that supports the automated clearance of rights issues in the creation of derivative data works. In essence, DALICC helps to determine which information can be shared with whom to what extent under which conditions, thus lowering the costs of rights clearance and stimulating the data economy.DALICC stands for Data Licenses Clearance Center. The creation of derivative data works, i.e. for purposes like content creation, service delivery or process automation, is often accompanied by legal uncertainty about usage rights and high costs in the clearance of licensing issues. 

SERAMIS

http://seramis-project.eu

The growing interest in RFID technology in recent years has sparked an intensive debate on the benefits to be expected. With the growth of RFID implementations in size and scope comes a shift away from infrastructural aspects to the question of how to draw value from the large amounts of collected data. However, the necessary procedures for the handling of massive RFID data sets are still an under-researched issue. Against this background, the objective of the SERAMIS project is to push the boundaries of current RFID implementations, thus turning them into powerful tools for intelligent information management. This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 612052.

Privacy and Usability (Privacy & Us)

https://privacyus.eu/

With the rapid accumulation and processing of personal data by numerous organizations, it is of paramount importance to protect people from adverse uses of their data, while allowing them to enjoy the benefits the use of these data can possibly provide. This is the question of protecting citizens’ privacy, while enabling them to make informed decisions regarding their actions with privacy implications. The Privacy & Us innovative training network will train thirteen creative, entrepreneurial and innovative early stage researchers (ESRs) to be able to reason, design and develop novel solutions to questions related to the protection of citizens’ privacy, considering the multidisciplinary and intersectoral aspects of the issue. ESRs will be trained to face both current and future challenges in the area of privacy and usability. Privacy & Us offers a combination of research-related and transferable competence skills that will enhance the career perspectives of the ESRs in both the academic and non-academic sectors. The ESRs will receive comprehensive training and engage in intersectoral and multidisciplinary collaboration. Through this collaborative effort, the project will make a significant contribution and impact to the ESRs future careers. It will also contribute to shaping future privacy policies and practices in Europe and will significantly advance the state of the art in privacy and usability research.