As part of the tri-university network CHIM, which connects the three locations in Chemnitz, Ilmenau, and Magdeburg, the CCS department, led by Prof. Emese Domahidi, is participating in the project "Productive Teaming".
"Productive Teaming" is a collaborative research initiative of the Chemnitz University of Technology, Ilmenau University of Technology, and the Otto von Guericke University Magdeburg. It has emerged from the existing research and innovation network Chemnitz-Ilmenau-Magdeburg (“CHIM”). The aim of this initiative is to better understand the collaboration between human and artificial agents through overarching thematic complexes and to find answers to research questions such as:
Can intelligent systems be cognitively augmented in a way that enables them to dynamically anticipate the capabilities and needs of their team partner within this process?
In the BMBF-funded project THInKI, a joint educational program is to be developed at TU Ilmenau and FSU Jena that covers the entire range of artificial intelligence (AI) technologies and their fields of application in science and practice. In addition to the creation and further development of teaching materials, a certificate program will provide undergraduate and graduate students from all fields of study with the opportunity to gain knowledge in the field of artificial intelligence. In addition to the scientific and technical courses offered by the TU Ilmenau, this program also covers social, ethical, or legal aspects that are necessary to be able to develop and evaluate future AI systems.
The department CCS (Jun-Prof. Dr. Emese Domahidi and Christine Wendo King'ang'i) will develop educational offers in the field of communication science.
Since January 2021, the CCS group (Jun-Prof. Dr. Emese Domahidi, Aliya Andrich and Maximilian Zehring) supports the project "VEDIAS", which is funded by the BMBF and DAAD. VEDIAS refers to the preparation and testing of digital, internationally oriented study programs with social virtual reality applications. At the Institute for Media and Communication Science, the goal of the project is to offer the master's program "Media and Communication Science (MCS)" as an online version in addition to the existing presence program. Our department provides the two seminars "Data Analysis: Methods in Empirical Communication Research" and "Introduction to Computational Communication Science". The courses have been completely digitized and can thus be used entirely as online courses for the international students of the MCS program.
Deciphering the pandemic public sphere (DECIPHER) is an international research project funded by the German Research Foundation for three years (2021-2024). DECIPHER aims to comparatively analyze the government communication in six European countries (Germany, Italy, the Netherlands, Spain, Sweden, the UK) and the USA during the covid pandemic, and further the citizen’s response to official information and messages.
The CCS group (Jun-Prof. Dr. Emese Domahidi and Dr. Jingyuan Yu) will mainly focus on the following research tasks:
1) analyzing the government social media communication strategies by computational methods;
2) identifying opinion leaders and further analyzing their role in leading the covid-related online conversations;
3) analyzing the dissemination of (mis/dis)information on different social media.
Several computational techniques (e.g., supervised/unsupervised machine learning, social network analysis) will be applied.
For more information and contact details, please refer to the project website: https://www.tu-ilmenau.de/decipher
Within the framework of the project thurAI the application and transfer of AI methods into practice is funded by the state of Thuringia for three years (2021-2024). To this end, the focus is on the following three key topics, which are of particular importance for the Thuringian economy and science
1) Production and quality assurance,
2) Healthcare and medical technology,
3) Smart City.
The CCS group (Jun-Prof. Dr. Emese Domahidi and Max Schindler) is participating in the pilot project "Bürgerservice Digital: Intelligente Informationsassistenten auf Basis von unstrukturierten Daten". The aim of this part of the project is to analyze information needs of citizens and to make largely unstructured digital data on social media available for smart city applications. Consequently, content from social (e.g., Twitter) will be examined to determine which forms of support users are looking for and receiving in the context of the (smart) city. For more information and contact details, please refer to the project website: https://tzlr.de/thurai/