• Big data analytics
• Data quality
• (Explainable) artificial intelligence
• Social media and social impact of IS

Big Data Analytics:

Methods for automated analysis are needed to tap into the treasure trove of data available to companies today. In the topic area of Big Data Analytics & AI, concrete application possibilities and the resulting benefits of artificial intelligence methods in the analysis of (un)structured data are being researched. For example, in the following projects:

• Future Skills
• Automation of incoming mail in the insurance industry
• Use of humanoid robots in customer service
• Information Extraction
• (Partial) automation of online customer service
• Intelligent digital agent
• Automated classification of customer complaints
• Intelligent digital agent for "Allianz helps" in online service

Data quality:

Much of the ever-increasing amount of data in companies is characterised by low data quality. This results in high economic losses. However, lack of data quality is not only a major problem in companies - in times of "fake news", the need for reliable information is also increasing in politics and society. Therefore, quantitative methods are needed to measure, control and improve data quality. This is what is being done in these research projects:

• Data quality in the automotive industry
• Data quality in User-Generated Content (DQNGI)
• DQMM
• DQMM@Wiki

Explainable Artifical Intelligence:

Fully automated decisions by AI systems are rejected by many citizens and sometimes cause great fear. Therefore, it is inevitable, especially for companies that use intelligent systems, to increase their acceptance by their customers and consumers. In the field of Explainable Artificial Intelligence (XAI), research is therefore being conducted in particular on the comprehensibility of AI decisions from the user's point of view. This is being done in the following projects, for example:

• XAI Demonstrator
• XAI Studio
• Bias und Fairness von KI
• Guess the city
• XPERT
• Skill-Kompass
• XAI-as-a-Service
• X-Loop
• Persönlicher Inflationsrechner

Social Media and Social Impact of IS:

Social media have become an integral part of our society. They make it possible to carry out parts of value creation, such as product development, sales, branding and service, together with market participants in a distributed and digitalised way. Social media can also make a valuable contribution within a company - for example, by improving the exchange of information and knowledge in enterprise social networks. However, they can also make a major contribution to pressing social problems and challenges such as (youth) unemployment. We are conducting research on this in the following projects:

• Skill Compass
• DIGIPEG
• Smart Integration
• Feasibility study "App-based Peer Group Counselling"

Mathias Klier and his team have authored numerous articles in books and journals such as ACM Journal of Data and Information Quality, Decision Support Systems, Electronic Markets, Journal of Information Science, and Journal of Management Information Systems. Furthermore, the results of their work have been presented at international scientific conferences such as the European Conference on Information Systems (ECIS), the International Conference on Information Systems (ICIS) and the International Conference on Information Systems (Internationale Tagung Wirtschaftsinformatik; short: WI).

Click here for the list of publications.