Critical Information Infrastructures/en
Critical information infrastructures are sociotechnical systems comprising essential software components and information systems with pivotal impact on individuals, organizations, governments, economies, and society. We work on research challenges concerned with the design, development, and evaluation of reliable, secure, and purposeful software and information systems. Our research features a strong domain focus, in particular, on internet and health care industries as well as on the industry-specific application of secure and trustworthy AI models. The principal goal of our research is theorizing on and designing the applications and methods required for creation and innovation of sociotechnical systems with auspicious value propositions. In our studies, we rigorously employ a variety of interdisciplinary methods and build on theories from information systems and related disciplines. Our work accounts for the multifaceted use contexts of information and communication technologies with research on human behavior affecting critical information infrastructures and vice versa. This enables us to rigorously generate strong theoretical insights while simultaneously producing research outputs of relevance to practical audiences.
Our main research contexts are reliable, secure, and purposeful software and information systems within the scope of critical infrastructures, innovative health IT applications, cloud computing services, blockchain technologies, trustworthy AI, continuous, DLT-based auditing of AI systems, and auditing/certification of IT in general.
Research Assistants (f/m/d, 100% TV-L E13) in the research group Critical Information Infrastructures (cii)
Beschreibung: Keine Beschreibung verfügbar
- Philipp Danylak
- Tobias Dehling
- Malte Greulich
- Richard Guse
- David Jin
- Sebastian Lins
- Benjamin Sturm
- Simon Warsinsky
- Jan Bartsch
- Mikael Beyene
- Mandy Goram
- Anton Grube
- Shanshan Hu
- Niclas Kannengießer
- Jens Lansing
- Florian Leiser
- Felix Morsbach
- Konstantin Pandl
- Sascha Rank
- Maximilian Renner
- Manuel Schmidt-Kraepelin
- Michael Sosna
- Heiner Teigeler
- Scott Thiebes
- Philipp Toussaint
- Lisa Drawe
- Yannick Erb
- Fabian Habitzreither
- Moritz Hieske
- Robin Link
- Peter Maier
- Pranjal Ranka
- Johannes Stephan
- Aylin Usta
- Yanxiu Wuwang
Our research is funded by
|European Cloud Service Data Protection Certification|
The objective of the research project “European Cloud Service Data Protection Certification” (AUDITOR) is the conception, exemplary implementation and testing of an enduring EU-wide data protection certification for cloud services. As project leader, we engage in every project activity to achieve this goal.
|BloG3 – Blockchain-based health data management for holistic health profiles|
The BloG3 project aims to develop and deploy a blockchain-based platform for the management of health data in aftercare. The platform enables patients to manage their data and give doctors access to them via an app. The platform will be used and evaluated at the Charité in Berlin and the Pflegewerk Berlin.
|COOLedger – A COnfiguration toOL for Distributed Ledgers|
The goal of the research project is to support the selection and configuration of a suitable distributed ledger through a model that identifies the dependencies between DLT characteristics and presents them in an understandable way. The model will be embedded in a process and implemented as software, which facilitates finding the suitable configuration of distributed ledgers for specific applications.
|DaWID: Data-Centered Value Creation|
The aim of the DaWID project is the development of a metaplatform building on the Industrial Data Space of the Fraunhofer-Society and the Data Intelligence Hub of the Deutsche Telekom AG. The platform will provide enhanced monetization capabilities for the data of citizens and companies in the C2B2B context. The respect of the data sovereignty of individuals and companies will be ensured in this regard.
|digilog@bw − Digitalisierung im Dialog|
The aim of "digilog@bw" is to identify the influence of digitisation on people and the resulting social changes and to analyse them in an interdisciplinary approach in order to lay the foundations for shaping digital change in a technically and politically positive way for the benefit of people.
|Distributed Ledger Technology for Life Sciences|
The aim of the research project “Distributed Ledger Technology for Life Sciences” (DLT4Life) is to develop a secure and privacy preserving DLT-based infrastructure for data exchange in the life sciences. The research project is part of the Helmholtz Information & Data Science School for Health (HIDSS4Health) and is carried out in cooperation with the German Cancer Research Center (DKFZ) in Heidelberg.
|GI Special Interest Group Digital Health|
The interdisciplinary special interest group Digital Health will examine current issues relating to the use of IT in healthcare and medicine from a variety of perspectives. The special interest group is to serve as a communication platform for stakeholders in the field of digital health. The goal is to offer researchers, practitioners and policymakers a central point of contact for the exchange and consolidation of research work and practical issues.
|Project Next Generation Certification (NGCert)|
The project “Next Generation Certification” (NGCert) focuses on research and development of dynamic certifications for cloud services, which enable auditors to continuously and (semi) automatically audit and monitor crucial parameters of cloud services. In this context, we develop metrics, methods, and design guidelines for continuous monitoring and (semi) automatic certification of cloud services.
|PANDIA: Platform for the analysis of privacy notices of interactive assistance systems in the health care domain - Consumer-centered privacy communication|
The objective of the PANDIA project is to develop a platform that enables consumers and companies in the health care domain to automatically check information processing in interactive assistance systems (eg, electronic health records, mHealth apps). Within the scope of PANDIA, we will develop solutions that inform all interested stakeholders what information is stored, transmitted, or processed by whom, in which way, for what purposes, and at which location in interactive assistance systems.
|Security & Compliance Automation|
The project 'Security & Compliance Automation' deals with the automation of compliance assessment processes in the context of cloud services. The research group cii is working together with SAP SE to deal with the challenging and ever-increasing amount of requirements that cloud services have to fulfil.
|Toward better Development of Applications on DLT|
Distributed Ledger Technology (DLT) is promising to innovate collaborative inter-organizational work using applications on DLT. However, such applications come with new challenges regarding software architecture and, in particular, smart contract development. Various incidents such as The DAO hack or the Parity hack have shown the devastating impact of flawed smart contracts or applications on DLT. In order to support developers to overcome extant challenges in the development of applications on DLT, we aim to derive software design patterns from existing best practices in the development of applications on DLT.
Our research project „Trusted Blockchain“ aims to develop an innovative certification for distributed ledger technologies to reduce market uncertainty and support the development of trusted and secure technologies.
|Unblackboxing IT Certifications|
The project goal of “Unblackboxing IT Certifications” is to explore IT certifications' impact on customer and e-vendor perceptions. Within the research context of electronic markets, we investigate the research question of how web assurance seals are perceived by both customers and e-vendors. The project results contribute to gaining a deep and fundamental understanding of IT certifications' effectiveness.
| Explainable Artificial Intelligence in Life Science: An Application to Omics Data|
The goal of the XAIOmics research project is to design, develop and evaluate an Explainable Artificial Intelligence (XAI) approach for biomedical (i.e. omics) data. The research project is part of the Helmholtz Information & Data Science School for Health (HIDSS4Health) and is carried out in collaboration with the German Cancer Research Center (DKFZ) in Heidelberg.