Mapping the Sustainable Development Goals in Science, Technology and Innovation.

Autor: Arash, Hajikhani¹ arash.hajikhani@vtt.fi, Samira, Ranaei² samira.ranaei@nokia.com, Arho, Suominen¹ arho.suominen@vtt.fi

Publikováno v: Proceedings of ISPIM Conferences. 2020, p1-12. 12p.

Evaluating technological emergence using text analytics: two case technologies and three approaches

Autor: Arho Suominen, Stephen Carley, Samira Ranaei, Alan L. Porter

Publikováno v: Ranaei, S, Suominen, A, Porter, A & Carley, S 2020, ' Evaluating technological emergence using text analytics : Two case technologies and three approaches ', Scientometrics, vol. 122, no. 1, pp. 215-247 . https://doi.org/10.1007/s11192-019-03275-w

Scientometric methods have long been used to identify technological trajectories, but we have seldom seen reproducible methods that allow for the identification of a technological emergence in a set of documents. This study evaluates the use of three

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd45897b174b00d1c0c926447b362d85
https://doi.org/10.1007/s11192-019-03275-w

Application of Text-Analytics in Quantitative Study of Science and Technology

Autor: Arho Suominen, Samira Ranaei, Alan L. Porter, Tuomo Kässi

Publikováno v: Springer Handbook of Science and Technology Indicators ISBN: 9783030025106
Springer Handbook of Science and Technology Indicators
Ranaei, S, Suominen, A, Porter, A & Kässi, T 2019, Application of text-analytics in quantitative study of science and technology . in W Glänzel, H F Moed, U Schmoch & M Thelwall (eds), Springer Handbook of Science and Technology Indicators . Springer, Springer Handbooks, pp. 957-982 . https://doi.org/10.1007/978-3-030-02511-3_39

The quantitative study of science, technology and innovation (ST&I science, technology, and innovation (STI)) has experienced significant growth with advancements in disciplines such as mathematics, computer science and information sciences. From the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a342748565fb0f51378c0e4f4e91503a
https://doi.org/10.1007/978-3-030-02511-3_39

Examining the dynamics of an emerging research network using the case of triboelectric nanogenerators

Autor: Arho Suominen, Haoshu Peng, Samira Ranaei

Publikováno v: Suominen, A, Peng, H & Ranaei, S 2019, ' Examining the dynamics of an emerging research network using the case of triboelectric nanogenerators ', Technological Forecasting and Social Change, vol. 146, pp. 820-830 . https://doi.org/10.1016/j.techfore.2018.10.008

The analysis of a scientist's decision to conduct research in a specific scientific field is an interesting way to trace the emergence of a new technology. The growth of a research community in size and persistence is an important indicator of a new

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be53486b74ca94ac8b73faedad73b35e
http://lutpub.lut.fi/handle/10024/158933

Using machine learning approaches to identify emergence

Autor: Samira Ranaei, Arho Suominen

Publikováno v: Ranaei, S & Suominen, A 2017, Using machine learning approaches to identify emergence : Case of vehicle related patent data . in PICMET 2017-Portland International Conference on Management of Engineering and Technology : Technology Management for the Interconnected World . IEEE Institute of Electrical and Electronic Engineers, 2017 Portland International Conference on Management of Engineering and Technology, PICMET 2017, Portland, United States, 9/07/17 . https://doi.org/10.23919/PICMET.2017.8125290

Bibliometric studies have long used simple search strings, publications count, and word counts to track the emergence of technologies. Novel machine learning methods open new possibilities to study bibliometric data and use algorithmic approaches to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc58e44bddb6c0a86e148a716e33173f
https://doi.org/10.23919/PICMET.2017.8125290