Projects per year
The Quantitative Science and Technology team is interested in exploring and exploiting novel and unconventional data to comprehend complex systemic Social, Technological and Economical challenges (innovation studies). The team works to test and validate new constructs and variables that have the potential to answer nascent questions in Science, Technology and Innovation studies.
While our team works with a variety of problems from economics, corporate strategy and sustainability, we share a common thread in combining data to understand the complexity of the issues we want to understand better. We share an interest towards technological change, advancement and exploring multidisciplinary nature of technologies. We try to understand what drives innovation and technological progress and what are the true outcomes of innovation. This work often centers on productivity, implications of technology to society, technological emergence and sustainable development transitions.
The current research questions we are ambitious to solve through our projects are:
- What are the novel big data approaches that allow us to better understand the developing nature of science and technology?
- How can we measure the emerging Data economy?
- How to better understand the changing nature of work and in particular changes in skill requirements.
- How can we identify unseen data and model the lost natural resources (globally approx. 40%) and their impact to the innovation systems?
- How can we find ways to improve the validity and increase the reliability of the big data utilization in innovation studies.
- What are the relevant applications of time series data in innovation studies?
- Why do R&D investments not translate anymore into productivity growth in Europe?
INNOSDG: Mapping Sustainable Development Activity; Its Evolution and Impact in Science, Technology, Innovation and Businesses
1/09/20 → 1/09/22
Project: Business Finland project
1/06/20 → 30/06/21
1/04/20 → 21/06/21
Project: Finnish government project
An exploratory perspective to measure the emergence degree for a specific technology based on the philosophy of swarm intelligenceLi, M., Porter, A. L., Suominen, A., Burmaoglu, S. & Carley, S., May 2021, In: Technological Forecasting and Social Change. 166, 17 p., 120621.
Research output: Contribution to journal › Article › Scientific › peer-review
Suominen, A., 22 Jan 2021, (E-pub ahead of print) Software Business : 11th International Conference, ICSOB 2020, Proceedings. Klotins, E. & Wnuk, K. (eds.). Springer Science+Business Media, p. 175-183 (Lecture Notes in Business Information Processing, Vol. 407).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Bäck, A., Kazemekaityte, A., Meyer, S. F., Ludvigsen, J., Savadori, L., Galvagni, A. & Pigrée, A., 2021, (Accepted/In press) In: Journal of Risk Research.
Research output: Contribution to journal › Article › Scientific › peer-reviewOpen Access