Completed research projects

Get an overview of completed projects at CAIS.
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The projects investigate different aspects of the digital transformation. In the research incubator, CAIS promotes interdisciplinary collaboration among the projects and tests forms and instruments of agile science.

Forschungsinkubator: Agile Wissenschaft und Programmentwicklung
Research Incubator

Agile science and program development

Project start date: 01.08.2019

Participating researchers: Prof. Dr. Christoph Bieber, Dr. Josephine B. Schmitt, Dr. Matthias Begenat, Maximilian Brenker, Samuel Simon, Anne Goldmann

The diversity and dynamics of digital change also challenge science. Impulses of the “New Work” can improve cooperation, new spaces and “agile” work formats can promote the work process in research projects. The research incubator follows the idea of agile science that responds quickly to the complexity and disruptive developments in a digitalized world. At CAIS, the incubator supports exchange between projects and provides a framework for innovative collaboration in the field of digitization research.

KI-Governance: Künstliche Intelligenz als Gegenstand politischer Steuerung
AI Governance

Artificial intelligence as a subject of political governance

Project start date: 01.01.2020

Participating researchers: Prof. Dr. Christoph Bieber, Anne Goldmann

So far, there is a lack of scientific research on the possibilities of intervention, control and governance of politics in the field of artificial intelligence (AI). Against this background, the project examines and systematizes the approaches of governmental control so far. The basis is formed by existing initiatives and expertises on federal and state level.

Künstliche Intelligenz in Staat und Verwaltung
AI Administration

Artificial intelligence in government and administration

Project start date: 01.01.2020

Participating researchers: Prof. Dr. Mario Martini, Dr. Hannah Ruschemeier

As a rule, one does not associate “the administration” with any particular innovative power. However, digital technologies may be able to leverage unrecognized potential. Automated systems and AI seem predestined to take over standardized bureaucratic procedures and decision-making processes. The project focuses on the opportunities and challenges associated with AI in administration and develops regulatory and safeguard mechanisms.

Digitalisierung nachhaltigen Verhaltens

Digitization of sustainable behavior

Project start: 01.01.2020

Participating researchers: Dr. Mark A. Andor, Prof. Dr. Lorenz Götte, Prof. Dr. Michael K. Price, Prof. Dr. Dr. h.c. Christoph M. Schmidt, Lukas Tomberg

The project investigates the potential for resource conservation that arises from detailed measurement of energy and water consumption during showering using smart meters. Interventions will be used to test how smart meter data can be used to motivate behavioral change. A welfare analysis will also consider psychological cost and benefit factors of smart meter applications for the first time.

Open Science

New Relationships between Researchers and Researched? On the self-image of target groups of data analytics

Project start date: 01.04.2020

Participating researchers: Dr. Katharina E. Kinder-Kurlanda

In research, new data sources (digital data traces) and methods (machine learning) are often used. In contrast to other surveys, the researched persons usually do not know that they and their data will become the object of research. Open science concepts, on the other hand, try to make research more transparent, comprehensible and participatory. The project addresses precisely this area of tension.

Wissenschaftskommunikation in der Digitalisierungsforschung
Science Communication

Science communication in digitization research

Project start: 15.03.2020

Participating researchers: Dr. Matthias Begenat, Laura Kill, Kevin Bremken

Who communicates which content, via which (digital) channels, in which role, with which goals to whom? The study explores science communication in the young, interdisciplinary and dynamic field of digitization research.