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Big Data und Governance im digitalen Zeitalter
(transcript, 2019) Ulbricht, Lena; Hofmann, Jeanette; Kersting, Norbert; Ritzi, Claudia; Schünemann, Wolf
Politikwissenschaft und die digitale Gesellschaft
(transcript Verlag, 2019) Hofmann, Jeanette; Kersting, Norbert; Ritzi, Claudia; Schünemann, Wolf J.; Hofmann, Jeanette; Kersting, Norbert; Ritzi, Claudia; Schünemann, Wolf
The Multistakeholder Concept as Narrative: A Discourse Analytical Approach
(The MIT Press, 2020) Hofmann, Jeanette; DeNardis, Laura; Cogburn, Derrick; Levinson, Nanette S.; Musiani, Francesca
Privacy Implications of Voice and Speech Analysis – Information Disclosure by Inference
(Springer International Publishing, 2020) Kröger, Jacob Leon; Lutz, Otto Hans-Martin; Raschke, Philip; Friedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan; Fricker, Samuel
Internet-connected devices, such as smartphones, smartwatches, and laptops, have become ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors most commonly found in such devices are microphones. While various privacy concerns related to microphone-equipped devices have been raised and thoroughly discussed, the threat of unexpected inferences from audio data remains largely overlooked. Drawing from literature of diverse disciplines, this paper presents an overview of sensitive pieces of information that can, with the help of advanced data analysis methods, be derived from human speech and other acoustic elements in recorded audio. In addition to the linguistic content of speech, a speaker’s voice characteristics and manner of expression may implicitly contain a rich array of personal information, including cues to a speaker’s biometric identity, personality, physical traits, geographical origin, emotions, level of intoxication and sleepiness, age, gender, and health condition. Even a person’s socioeconomic status can be reflected in certain speech patterns. The findings compiled in this paper demonstrate that recent advances in voice and speech processing induce a new generation of privacy threats.
Ringen um das richtige Urteil — ein Fazit
(transcript Verlag, 2020) Neuberger, Christoph; Gerlach, Frauke
From Employee to Expert - Towards a Corona-Sensitive Approach for Data Collection
(2021) Langemeyer, Ines; Gronau, Norbert; Schmid-Walz, Sabrina; Kotarski, David; Reimann, Daniela; Teichmann, Malte
In the context of the collaborative project Ageing-appropriate, process-oriented and interactive further training in SME (API-KMU), innovative solutions for the challenges of demographic change and digitalisation are being developed for SMEs. To this end, an approach to age-appropriate training will be designed with the help of AR technology. In times of the corona pandemic, a special research design is necessary for the initial survey of the current state in the companies, which will be systematically elaborated in this paper. The results of the previous methodological considerations illustrate the necessity of a mix of methods to generate a deeper insight into the work processes. Video-based retrospective interviews seem to be a suitable instrument to adequately capture the employees' interpretative perspectives on their work activities. In conclusion, the paper identifies specific challenges, such as creating acceptance among employees, open questions, e.g., how a transfer or generalization of the results can succeed, and hypotheses that will have to be tested in the further course of the research process.
Ronda. Real-Time Data Provision, Processing and Publication for Open Data
(Springer International Publishing, 2021) Kirstein, Fabian; Bacher, Dario; Bohlen, Vincent; Schimmler, Sonja; Scholl, Hans Jochen; Gil-Garcia, J. Ramon; Janssen, Marijn; Kalampokis, Evangelos; Lindgren, Ida; Rodríguez Bolívar, Manuel Pedro
The provision and dissemination of Open Data is a flourishing concept, which is highly recognized and established in the government and public administrations domains. Typically, the actual data is served as static file downloads, such as CSV or PDF, and the established software solutions for Open Data are mostly designed to manage this kind of data. However, the rising popularity of the Internet of things and smart devices in the public and private domain leads to an increase of available real-time data, like public transportation schedules, weather forecasts, or power grid data. Such timely and extensive data cannot be used to its full potential when published in a static, file-based fashion. Therefore, we designed and developed Ronda - an open source platform for gathering, processing and publishing real-time Open Data based on industry-proven and established big data and data processing tools. Our solution easily enables Open Data publishers to provide real-time interfaces for heterogeneous data sources, fostering more sophisticated and advanced Open Data use cases. We have evaluated our work through a practical application in a production environment.
Anonymität im Internet: Interdisziplinäre Rückschlüsse auf Freiheit und Verantwortung bei der Ausgestaltung von Kommunikationsräumen
(Academia, 2021) Gräfe, Hans-Christian; Hamm, Andrea; Berger, Franz X.; Deremetz, Anne; Hennig, Martin; Michell, Alix
„Die anonyme Nutzung ist dem Internet immanent.“ So lautet eine unter Juristinnen bekannte und weit verbreitete Behauptung, die sich hinterfragen lassen muss. Die Wirklichkeit im Internet zeigt ein hinreichend anderes Bild. Unternehmen, die hinter den Kulissen immense Umsätze mit personalisierter Werbung erwirtschaften, registrieren nicht nur die Webseiten, die wir besuchen, sondern erfassen als Metadaten auch jede unserer Mausbewegungen, jeden Tastendruck und jede Änderung der Scrollposition. Anhand ihrer individuellen Verhaltensmuster können Internetnutzende nicht nur identifiziert, sondern auch Aussagen über ihre Gewohnheiten und politischen Überzeugungen, ihre gesundheitliche und finanzielle Situation, ihre Persönlichkeit und vieles mehr getroffen werden.
IDS as a Foundation for Open Data Ecosystems
(Springer International Publishing, 2022) Kirstein, Fabian; Bohlen, Vincent; Otto, Boris; Ten Hompel, Michael; Wrobel, Stefan
Open data is a popular and flourishing concept. The availability of open and structured data is the foundation of new business models, citizen engagement, and scientific research. However, open data still faces many issues to unfold its full potential, including usability, quality, legal, privacy, strategic, and technical barriers. In addition, the public sector remains its main provider, while industry stakeholders are still reluctant to participate in open data ecosystems. In this article, we present an architecture to overcome these drawbacks by utilizing the concepts, specifications, and technologies provided by International Data Spaces. We developed a prototype to demonstrate and evaluate the practical adoption of our architecture. Our work shows that IDS can act a vital foundation for open data ecosystems. The presented solution is available as open source software.
Der digitale Strukturwandel von Öffentlichkeit: Demokratietheoretische Anmerkungen
(Nomos, 2022) Thiel, Thorsten; Spiecker Gen. Döhmann, Indra; Westland, Michael; Campos, Ricardo
New working spaces in rural areas
(Routledge, 2022) Lange, Bastian; Herlo, Bianca; Willi, Yasmine; Pütz, Marco
When Ethics demands the already Present - How Ethics undermines effective data protection in the case of the Corona-Warn-App in Germany
(transcript Verlag, 2022) Rehak, Rainer; Krämer, Dennis; Haltaufderheide, Joschka; Vollmann, Jochen
Organisationswandel und Wahrnehmung der Akzeptanz von Digitalisierungsprozessen in Unternehmen infolge der COVID-19-Pandemie
(Springer VS, 2024) Delicat, Nina; Herzog, Lorena; Krzywdzinski, Martin; Butollo, Florian; Wandjo, David; Flemming, Jana; Gerber, Christine; Danyeli, Matthias; Pfeiffer, Sabine; Nicklich, Manuel; Henke, Michael; Heßler, Martina; Krzywdzinski, Martin; Schulz-Schaeffer, Ingo
Der vorliegende Beitrag befasst sich mit der Akzeptanz von Digitalisierungs- und Automatisierungsprozessen. Untersucht wird, welche Digitalisierungsmaßnahmen während der Covid-19-Pandemie vorangetrieben wurden, inwieweit und wie diese Maßnahmen mit organisatorischen Veränderungen kombiniert wurden und wie sich die Akzeptanz der Digitalisierung durch die Beschäftigten aus der Sicht des Managements und der Betriebsräte während der Covid-19-Pandemie entwickelt hat. Für die Analyse wurden Daten aus zwei Wellen einer Unternehmensbefragung von jeweils 500–600 Unternehmen sowie 34 Fallstudien in sechs Branchen ausgewertet: der Automobilindustrie, der Chemieindustrie, dem Maschinen- und Anlagenbau, der Logistikbranche, der Gesundheitsbranche und dem Finanzdienstleistungssektor.
Can civic data be counterdata and open data? Exploring the limits of data, contestation and governance
(Nomos, 2025) Shibuya, Yuya; Olojo, Seyi; Hamm, Andrea; Krishnan, Radhika; Pargman, Teresa Cerratto; Kox, Thomas; Ullrich, André; Zech, Herbert
The increasing surveillance by big tech companies or/and governments has raised concerns about the democratic and participatory structure of the datafied society. Meanwhile, over the course of the past decade, various bottom-up civic tech and digital civic initiatives have emerged to tackle pressing local issues, such as air pollution and disaster response, often via technology-mediated data collection, curation, analysis, design and visualisations, thus promoting democratic participation. In this article, we discuss how these data are understood in diverse contexts beyond the realm of civic tech and digital civics. In doing so, we explore the potential and limits of civic data by exploring the intersections of and differences between civic data and adjacent data-related concepts often used by civic tech communities themselves: counterdata and open data. Through our discursive exploration of these three data concepts, we conclude that understanding is limited when it comes to determining which data are ‘civic’, and that discussion of questions related to power structures, diversity and inclusion and infrastructuring of civic data has been minimal.
Empowering smart regions: addressing challenges and leveraging enabling factors in municipal digital transformation
(Nomos, 2025) Brandenburger, Bonny; Hamm, Andrea; Krohn, Caroline; Sühlmann-Faul, Felix; Atug, Manuel; Döpp, Nicole; Ullrich, André; Kox, Thomas; Ullrich, André; Zech, Herbert
The advancing digital transformation of society creates a wide range of opportunities for improved access to information and resources that contribute to ensuring the availability of public services and the development of sustainable living spaces. This underlying potential does not only apply to urban areas; digitalisation projects are also being implemented in rural municipalities in order to exploit the potential of digital transformation. Nevertheless, the field of so-called smart regions has yet to receive substantial focus in research. To understand the specific challenges and enabling factors of digital transformation activities in urban-rural areas, a workshop was organised with the cooperation of municipal representatives of a model region in Schleswig-Holstein, Germany. Therein, specific technical, economic and social challenges as well as enabling factors of municipal digitalisation projects aimed at developing smart regions were identified. The results show that the success of digital transformation meas‐ ures in urban-rural areas is not only determined by the expansion of a corresponding technical infrastructure but in particular by the acceptance of citizens and municipality employees, as well as economic viability. This research further informs municipalities and future researchers on the critical factors required to effectively conduct digitalisation projects in the smart region context.
Uncertain futures of work: The perception of generative AI in knowledge professions
(Nomos, 2025) Butollo, Florian; Haase, Jennifer; Katzinski, Ann-Kathrin; Krüger, Anne K.; Kox, Thomas; Ullrich, André; Zech, Herbert
The application of generative AI (GenAI) tools has led to widespread speculation about the implications of technological change for the future of cognitive work. This article provides insights on how the use of GenAI affects work practices in the fields of IT programming, science and coaching based on expert interviews and a quantitative survey among users of GenAI. Specifically, we ask about perceptions on skills, creativity, and authenticity, which we regard as key qualities of cognitive work. Contrary to widespread expectations that AI use would hollow out or substitute aspects of cognitive work, we find that there is a strong awareness for the meaning of the professional core in each field. We conclude that the use of AI provokes reflections about the meaning of human work in operating AI tools adequately and taking on responsibility for their results, thereby rather reinforcing its relevance.
Shaping uncertain journeys into digital futures - perspectives on the digital and socio-ecological transformation
(Nomos, 2025) Ullrich, André; Kox, Thomas; Zech, Herbert; Kox, Thomas; Ullrich, André; Zech, Herbert

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