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AI and algorithm driven research

Research group
Active research
Project period
2021 - ongoing
Project owner
Department of Business Administration, School of Business, Economics and Law

Short description

The cluster AI and algorithm driven research is a forum for inspiration for new ideas as well as open discussions of how to apply new technologies to conduct research.


Researchers at the School of Business, Economics and Law at the University of Gothenburg  are currently moving towards more proficient usage of big data for research purposes. Consequently, the need for new resources and technology to manage data including, large volumes, unstructured data, use of APIs, and so forth is growing. In the light of this development, the cluster AI and algorithm driven research was formed to create a forum for inspiration for new ideas as well as open discussions of how to apply new technologies to conduct research.

Specifically, the research cluster aims to attract researchers who want to learn about new methods/technology to analyse data, collaborate across disciplines, and find opportunities for coordination of resources. 

Want to know more or join the research cluster?

If you want to want to know more and/or join the research cluster, please contact
Mari Paananen

Research projects tied to the cluster

Reading between the lines (RBL)

A project to create a database to ultimately provide a repository of global narrative corporate reporting for research and education. The project has received initial funding from Börssällskapet i Göteborg.  

Project members: Mari Paananen, University of Gothenburg; Viktor Elliot, University of Gothenburg 

Predicting credit risk using wisdom of the crowd

A project where proprietary Internet data is used to create a measure for the wisdom of the crowd to be benchmarked against conventional measures of financial difficulties. The project has received initial funding from the British Academy/Leverhulme Small Research Grants. 

Project members: Mari Paananen, University of Gothenburg; Marcin Zamojski, University of Gothenburg; Saipriya Kamath, London School of Economics; Joanne Horton, University of Warwick 

Crisis management in SMEs during Covid-19

The project focuses on how business owners could share and use data for business planning and expansion. The project is funded by the Swedish Agency for Economic and Regional Growth (Tillväxtverket). 

Project members: Viktor Elliot, Jonas Fasth, Mari Paananen, Göteborg & Co. AB