Joze Rozanec
ABSTRACT
There is an increasing awareness that strategic foresight is much needed to guide efficient policy-making. The growing digitalization implies a rising amount of digital evidence of many aspects of society (e.g., science, economy, and politics). Artificial intelligence can process massive amounts of data and extract meaningful information. Furthermore, a knowledge graph can be developed to capture significant aspects of reality, and machine learning models can be used to identify patterns and derive insights. This paper describes how we envision artificial intelligence could be used to create and deliver strategic foresight automatically.
- Emina Boudemagh and Izabela Moise. 2017. News media coverage of refugees in 2016: a GDELT case study. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 11. 743--750.Google Scholar
Cross Ref
- Patrick Brandtner and Marius Mates. 2021. Artificial Intelligence in Strategic Foresight--Current Practices and Future Application Potentials: Current Practices and Future Application Potentials. In The 2021 12th International Conference on E-business, Management and Economics. 75--81.Google Scholar
- George Burt and Anup Karath Nair. 2020. Rigidities of imagination in scenario planning: Strategic foresight through 'Unlearning'. Technological Forecasting and Social Change, Vol. 153 (2020), 119927.Google ScholarCross Ref
- Ashkan Ebadi, Alain Auger, and Yvan Gauthier. 2022. Detecting emerging technologies and their evolution using deep learning and weak signal analysis. Journal of Informetrics, Vol. 16, 4 (2022), 101344.Google ScholarCross Ref
- Vadim Ermolayev, Sotiris Batsakis, Natalya Keberle, Olga Tatarintseva, and Grigoris Antoniou. 2014. Ontologies of Time: Review and Trends. International Journal of Computer Science & Applications, Vol. 11, 3 (2014).Google Scholar
- Fredo Erxleben, Michael Günther, Markus Krötzsch, Julian Mendez, and Denny Vrandevc ić. 2014. Introducing wikidata to the linked data web. In The Semantic Web--ISWC 2014: 13th International Semantic Web Conference, Riva del Garda, Italy, October 19--23, 2014. Proceedings, Part I 13. Springer, 50--65.Google Scholar
- Amber Geurts, Ralph Gutknecht, Philine Warnke, Arjen Goetheer, Elna Schirrmeister, Babette Bakker, and Svetlana Meissner. 2022. New perspectives for data-supported foresight: The hybrid AI-expert approach. Futures & Foresight Science, Vol. 4, 1 (2022), e99.Google ScholarCross Ref
- Joseph M Greenblott, Thomas O'Farrell, Robert Olson, and Beth Burchard. 2019. Strategic Foresight in the Federal Government: A survey of methods, resources, and institutional arrangements. World futures review, Vol. 11, 3 (2019), 245--266.Google Scholar
- Gregor Leban, Blaz Fortuna, Janez Brank, and Marko Grobelnik. 2014. Event registry: learning about world events from news. In Proceedings of the 23rd International Conference on World Wide Web. 107--110.Google ScholarDigital Library
- Nathan H Parrish, Anna L Buczak, Jared T Zook, James P Howard, Brian J Ellison, and Benjamin D Baugher. 2019. Crystal cube: Multidisciplinary approach to disruptive events prediction. In Advances in Human Factors, Business Management and Society: Proceedings of the AHFE 2018 International Conference on Human Factors, Business Management and Society, July 21--25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA 9. Springer, 571--581.Google Scholar
- Thomas Pellissier Tanon, Denny Vrandevc ić, Sebastian Schaffert, Thomas Steiner, and Lydia Pintscher. 2016. From freebase to wikidata: The great migration. In Proceedings of the 25th international conference on world wide web. 1419--1428.Google ScholarDigital Library
- Radu Prodan, Dragi Kimovski, Andrea Bartolini, Michael Cochez, Alexandru Iosup, Evgeny Kharlamov, Jovz e Rovz anec, Laurenct iu Vasiliu, and Ana Lucia Vua rbua nescu. 2022. Towards Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe. In 2022 IEEE Cloud Summit. IEEE, 23--30.Google Scholar
- Noah Raford. 2015. Online foresight platforms: Evidence for their impact on scenario planning & strategic foresight. Technological Forecasting and Social Change, Vol. 97 (2015), 65--76.Google ScholarCross Ref
- Aaron B Rosa, Niklas Gudowsky, and Petteri Repo. 2021. Sensemaking and lens-shaping: Identifying citizen contributions to foresight through comparative topic modelling. Futures, Vol. 129 (2021), 102733.Google ScholarCross Ref
- Tatjana Volkova and Baiba Dominiece-Diasa. 2019. STRATEGIC FORESIGHT AS AN ENABLER OF A SUSTAINABLE FUTURE. International Multidisciplinary Scientific GeoConference: SGEM, Vol. 19, 5.3 (2019), 705--712.Google ScholarCross Ref
- Angela Wilkinson. 2017. Strategic foresight primer. European Political Strategy Centre (2017).Google Scholar
- Janghyeok Yoon. 2012. Detecting weak signals for long-term business opportunities using text mining of Web news. Expert Systems with Applications, Vol. 39, 16 (2012), 12543--12550.Google ScholarDigital Library
- Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, and Le Song. 2019. Can graph neural networks help logic reasoning? arXiv preprint arXiv:1906.02111 (2019).Google Scholar
Index Terms
- AI, What Does the Future Hold for Us? Automating Strategic Foresight
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