Executive Department for
Press, Communication and Marketing
Adolf-Reichwein-Straße 2a Gebäude AVZ (Gebäudeteil AR-NA) 57068 Siegen
Phone:    +49 (0)271/740-4915 Fax.:    +49 (0)271/740-4911 E-Mail:  firstname.lastname@example.org
News and Press
Welcome to the Executive Department for Press, Communication and Marketing of the University of Siegen.
This site provides news about the University of Siegen - from research news to event announcements. We provide regional, national and international media representatives with details about research results and exciting background stories. A range of publications, such as the university newspaper, are offered to complement our service. In addition, we are responsible for marketing activities at the University of Siegen and we organize central events.
If you are a media representative, please feel free to contact us when you are looking for a scientific expert.
German-Chinese team studies the formation of chitin
(11.01.2022) Siegen molecular biologist Hans Merzendorfer and agricultural scientist Quing Yang from Beijing are leading a joint research project that might provide approaches for the development of environmentally friendly insecticides.
DAAD Prize awarded to musicologist from Iran
(21.12.2021) Doctoral student Yalda Yazdani receives award for her commitment to female musicians from Iran and Afghanistan.
Selfies at the coffee table
(13.12.2021) Modern technologies have the potential to support older people in their everyday lives. Yet many older adults barely use digital devices and media because they don‘t have the technological skills. The ACCESS research project is developing learning formats to enable digital participation.
Collaborative project of quantum computer developers
(10.12.2021) New ATIQ project is funded by the German Federal Ministry of Education and Research with a total volume of EUR 44.5 million.
Recommended by algorithms
(02.12.2021) Professor Dr. Jöran Beel aims to give smaller companies the opportunity to use a good recommendation service. He is developing a self-learning software that learns to generate the best recommendations.