Social Innovation through transdisciplinary Research

Innovation processes now tend to run less and less along clear lines in consecutive phases but rather call for the openness that can deal with unexpected and surprising events and occurrences. Close cooperation between science and industry is at a particular premium when there’s a need to explore new and unknown territory. By joining forces, problematic points in actual practice can be defined and the latest methods and scientific concepts can lead tonew  solutions. Such co-evolutionary collaboration can bring tangible benefits and advancement for science and praxis alike. And there is a long tradition of such publicly funded collaborative projects in Germany. Transdisciplinary social scientific research in work and innovation can play an important role in specifying the challenges we face:

Current publications:

Howaldt, Jürgen, Heike Jacobsen (Hrsg.) (2010): Soziale Innovation. Auf dem Weg zu einem postindustriellen Innovationsparadigma. Wiesbaden: VS Verlag für Sozialwissenschaften

Jostmeier, Milena, Heike Jacobsen, Arno Georg (Hrsg.) (2012): Sozialen Wandel gestalten – Zum gesellschaftlichen Innovationspotenzial von Arbeits- und Organisationsforschung, Wiesbaden: VS-Verlag für Sozialwissenschaften. (in Vorbereitung)

Current conferences:

Werkstatt: Transdisziplinäre Arbeits- und Innovationsforschung - Herausforderungen und Erträge von Verbundprojekten zwischen Wissenschaft und Anwendungskontext, Werkstatt Verbundprojekte: 29.6.2011, Link

This website uses cookies. There are two types of cookies: The first type supports the basic functionality of our website. The second allows us to improve our content for you by saving and analyzing pseudonymised user data. Since this second type is technically not required to run the website, you can withdraw your consent to those cookies at any time. For more information please visit our pages on data protection.


These cookies are needed for a smooth operation of our website.


For statistical reasons, we use the platform Matomo to analyse the user flow with the help of website users‘ pseudonymised data. This allows us to optimize website content.

Name Purpose Lifetime Type Provider
_pk_id Used to store a few details about the user such as the unique visitor ID. 13 months HTML Matomo
_pk_ref Used to store the attribution information, the referrer initially used to visit the website. 6 months HTML Matomo
_pk_ses Short lived cookie used to temporarily store data for the visit. 30 minutes HTML Matomo