With an interest in all things statistics, Aleksandr has extensive experience in applying different statistical approaches on a variety of datasets. This includes, creating a model that both collects and analyses job proposals from variety of online job portals in Lithuania, creating an approach to estimate the fragmentation of participation in the EIT Digital using social network analysis, estimate the impact of training programmes in different EU-28 regions using synthetic control methods, and more. He gained majority of his experience by working on different EU level projects at Visionary Analytics, where currently he is employed as a researcher. Apart from his work, Aleksandr also has a huge interest in finding new interesting, exciting, and useful statistical methods (including data mining and machine learning ones) and applying them to real life data. Aleksandr holds a BSc in Economics and Politics from ISM University and MSc in Computer Modelling from Vilnius University.
Publications
Christenko, A. (2022). Automation and occupational mobility: A task and knowledge-based approach. Technology in Society, 70, 1-9. https://doi.org/10.1016/j.techsoc.2022.101976
Christenko, A., Krūminas, P., & Martinaitis, Ž. (2019). Transition in post-communist economies: Plain or creative destruction? evidence from Lithuania. In 31st Annual Meeting, Society for the Advancement of Socio-Economics. 27th-29th June, 2019 (pp. 1-16). New York City: SASE
Christenko, A., Martinaitis, Ž., & Krūminas, P. (2023). From socialism to capitalism: Low-skill-biased change in the Baltics during the transition and beyond. TalTech Journal of European Studies, 13(1), 253-285. https://doi.org/10.2478/bjes-2023-0012
Martinaitis, Ž., Christenko, A., Krūminas, P., & Paliokaitė, A. (2024). Impact of industrial change on skills during the economic transition in Central and Eastern Europe. Problems of Post-Communism, 1-13. https://doi.org/10.1080/10758216.2023.2301098
Christenko, A. (2024). The complex relationship between automation and work intensity: Evidence from selected EU countries. International Review of Applied Economics, 38(4), 438-454. https://doi.org/10.1080/02692171.2024.2345605
Christenko, A. (2024). Beyond Robots – opportunities and challenges of Automation and Artificial Intelligence (AI) for health & safety. In National Health and Safety Leaders’ Summit 2024, March 19-20 (pp. 1-12). Brightstar
Christenko, A. (2024). Effects of the growing popularity of Large Language Models on the demand for skills in the EU. In Society for the Advancement of Socio-Economics (SASE) Conference, 27-29 June 2024 (pp. 1-13). University of Limerick: Society for the Advancement of Socio-Economics
Christenko, A. (2023). Effects of automation on work intensity: Evidence from select European Union countries. In AI in Business and Economics – The Economic Perspective on Artificial Intelligence (EPEAI) Conference, March 6-7 (pp. 1-16). Mülheim an der Ruhr: Hochschule Ruhr West
Antanavičius, J., Krūminas, P., Paliokaitė, A., Christenko, A., Elenskė, A., & Bernotas, I. (2024). Additionalities of innovation voucher schemes: evidence from Lithuania. Journal of Science and Technology Policy Management, 1–36. https://doi.org/10.1108/JSTPM-12-2023-0220
