The Big Data Analytics Research Unit looks at the opportunities offered by analyses of Big Data . Read more about the focus of this research group.
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Digital sensors, the Internet of Things and social platforms are among the phenomena which nowadays generate a constant stream of new data. As the volume of this data increases at an ever-faster pace, more and more use is being made of Big Data analyses, which allow an unprecedented potential to be exploited in many areas of the economy. However, the generation and meaningful use of this wealth of information requires special technologies, approaches and systems. Our Big Data Analytics team tackles various aspects of Big Data with a focus on economic issues.
Special Focus
We specialise in the processing of structured and unstructured data generated by new methods and technologies. These include internet search queries, content from websites (job advertisements, invitations to tender, newspapers, prices) and information from social media.
Application to economic issues of Big Data methods such as machine learning with deep learning, data mining, natural language processing, time series analysis, etc.
Application of Big Data to business cycle research
Augmenting official statistics, for example for the labour market
Data economics including context-dependent economic analysis of law
Examples of current research
The Big Data Cooperation Cluster uses a wide range of analytical methods and approaches. In principle, Big Data methods can be applied to all pertinent economic issues. A typical example is the use of text analysis to analyse networks as in the case given here referring to the German players in Covid 19 research.
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
While digital platforms become more and more important for the whole society as well as the economy, regulatory reactions are also discussed and implemented.
Digitalisation Index 2023:
Digitalisation of the economy in Germany
Jan Büchel / Dennis Bakalis / Marc Scheufen
The digitalisation of the economy in Germany continues to stagnate in 2023: the digitalisation index score is 108.6 points in 2023 compared to 110.5 points in 2022. After the sharp rise in 2021, the development of digitalisation since then can be described as more of a lateral or sideways movement.
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