How well positioned is Germany in AI research?

• What distinguishes Germany's AI landscape and research policy in an international comparison?
  
• What framework conditions does AI need?
• How effective are the government's programs to promote AI?
• What effects does AI have on sectors and economic regions?
• How can AI impacts be measured? (Bibliometrics, patent analyses, network-based methods)
   

More projects can be found at the German page.

Empirical study on AI use in production (AI readiness)

With the help of the development of AI Readiness, the dissemination of AI in the manufacturing industry is specifically analysed. On the basis of representative operational data on the use of AI technologies in the industrial enterprises of Baden-Württemberg and Germany, the actual AI readiness can thus be determined, comparisons can be made and essential patterns can be analysed. The results provide essential fields of action and options for stakeholders from politics and industry regarding to the key topic of AI in production.

• Horvat, D., Kroll, H., Jäger, A. (2019): Researching the Effects of Automation and Digitalization on Manufacturing Companies' Productivity in the Early Stage of Industry 4.0. In: Procedia Manufacturing. Procedia manufacturing 39 (2019), pp.886-893.
  
• European Commission (2016): An analysis of drivers, barriers and readiness factors of EU companies for adopting advanced manufacturing products and technologies. Authors: Kroll, H./ Copani, G./van de Velde, E./Simons, M./Horvat, D./ Jäger, A./ Wastyn, A./ PourAbdollahian, G./Naumanen, M. Study for the Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs. Brussels: European Commission.