Professorship for Information Systems, in particular Data Science
Organisational unit: Professoship
Organisation profile
The Business Informatics working group, in particular Data Science, headed by Prof Dr Burkhardt Funk, is dedicated to the development and application of data-driven methods for decision support in companies and public institutions.
Main research areas
The research focus lies on the use of data science and machine learning to analyse large amounts of data in order to optimise processes and decisions. A central topic is the development of intelligent systems that support decisions through data-based predictions. Fields of application include healthcare and various operational functions (e.g. marketing, accounting). We have developed approaches for predicting the effectiveness and personalisation of healthcare interventions, methods for extracting knowledge from documents (business documents, scientific papers) and for optimal budget allocation in marketing.
Most downloaded publications
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1129
downloads
Development of a Mobile Application for People with Panic Disorder as augmentation for an Internet-based Intervention
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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1126
downloads
Online Peer-to-Peer Lending: A Literature Review
Research output: Journal contributions › Scientific review articles › Research
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973
downloads
Towards measuring user engagement in internet interventions for common mental disorders: Workshop on People, Computers, and Psychotherapy
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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190
downloads
A health economic outcome evaluation of an internet-based mobile-supported stress management intervention for employees
Research output: Journal contributions › Journal articles › Research › peer-review
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171
downloads
Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms
Research output: Journal contributions › Scientific review articles › Research