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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.

Background

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
mari.paananen@handels.gu.se

Workshops

Workshop on needs related to an infrastructure for AI and algorithm-based research and teaching

Welcome to the second workshop for the multidisciplinary research cluster ‘AI and algorithm driven research’. The topic for discussion is what is needed to create an infrastructure at the School of Business, Economics and Law, University of Gothenburg to maintain and further the relevance of our research and teaching

Date and time: 31st May, 2021
Time: 1.00 pm – 2.30 pm

Place: Zoom

Register by the 27th May at the latest 

Discussion topic

What is needed to create an infrastructure at the School of Business, Economics and Law at the University of Gothenburg to maintain and further the relevance of our research and teaching? That is, needs in terms of:

  • Research: Data processing capacity, secure storage facilities, computer science expertise to facilitate data analysis
  • Teaching: Suitable teaching environment, data processing capacity, technical support.
  • Staff development: Workshops/training

 

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