Digitization is penetrating all areas of life and networking people, machines and processes. This is creating immense opportunities for the German economy.
About the topic
In Germany, it has triggered a profound structural change in all areas of the economy and society. This digital transformation holds enormous opportunities, and they must be exploited - including, but not limited to, the automation and networking of value creation processes under the buzzword Industry 4.0. Autonomization in particular, i.e. enabling machines to organize, repair and optimize themselves, opens up extensive opportunities.
The prerequisites for digital transformation are nationwide high-speed networks and an unbureaucratic and capital-rich innovation environment. Employees also face challenges: Companies must identify the new requirements for employee qualifications and train employees accordingly. In addition, companies, especially from the SME sector, must drive digitization more strongly in their own operations, for example by refining their business models and developing new ones, for example in cooperation with startups. On this page you will find various topics and current studies from the field of digitization.
Obstacles to Data Sharing – An Outline of Recent Developments with Policy Recommendations
The increasing networking of production processes and the ability of artificial intelligence to analyse ever larger amounts of data offer enormous potential for the German economy. To exploit this potential fully, however, data must be shared.
Jan Büchel / Jan Felix Engler IW-Report No. 23 8. May 2024
Generative AI in Germany: Artificial intelligence in society and companies
Generative AI has recently caused quite a stir. The reason is that generative AI applications can independently generate content such as texts, images, programming codes or videos that are often difficult to distinguish from human-generated content.
*Alexander Cuntz / *Frank Mueller-Langer / *Alessio Muscarnera / *Prince C. Oguguo / Marc Scheufen External Publication 29. April 2024
Open Science as a Means for Development Aid: Fostering Scientific Research and Innovation
Access to prior scientific works and technical information is key to the emergence of new scientific knowledge and innovation (Moser and Biasi 2018, Nagler et al. 2019).
*Alexander Cuntz / *Frank Mueller-Langer / *Alessio Muscarnera / *Prince C. Oguguo / Marc Scheufen IW
Obstacles to Data Sharing – An Outline of Recent Developments with Policy Recommendations
Marc Scheufen
The increasing networking of production processes and the ability of artificial intelligence to analyse ever larger amounts of data offer enormous potential for the German economy. To exploit this potential fully, however, data must be shared.
Generative AI in Germany:
Artificial intelligence in society and companies
Jan Büchel / Jan Felix Engler
Generative AI has recently caused quite a stir. The reason is that generative AI applications can independently generate content such as texts, images, programming codes or videos that are often difficult to distinguish from human-generated content.
Open Science as a Means for Development Aid:
Fostering Scientific Research and Innovation
*Alexander Cuntz / *Frank Mueller-Langer / *Alessio Muscarnera / *Prince C. Oguguo / Marc Scheufen
Access to prior scientific works and technical information is key to the emergence of new scientific knowledge and innovation (Moser and Biasi 2018, Nagler et al. 2019).
*Alexander Cuntz / *Frank Mueller-Langer / *Alessio Muscarnera / *Prince C. Oguguo / Marc Scheufen
IW
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German Economic Institute (IW) 
