Work

Machine learning for prediction of emergent economy dynamics

Year: 2021

Type: report

Abstract: This is an introductory text to a collection of selected papers and revised from the M3E2 2021: 9th International Conference on Monitoring, Modeling & Management of Emergent Economy, which held in Odessa National University of Economics, Odessa, Ukraine, on the May 26-28, 2021. It consists of introduction, conference review and some observations about the event and its future.

DOI: 10.31812/123456789/6973

Authors: Арнольд Юхимович Ків, Володимир Миколайович Соловйов, Сергій Олексійович Семеріков, Hanna B. Danylchuk, Liubov O. Kibalnyk, Andriy V. Matviychuk, Andrii M. Striuk, Ганна Борисівна Данильчук, Л.О. Кібальник, Андрій Вікторович Матвійчук

Institutions: Ben-Gurion University of the Negev, Kryvyi Rih National University, Kryvyi Rih State Pedagogical University, University of Educational Management, Cherkasy National University, Kyiv National Economic University named after Vadym Hetman

Language: English

Topic: Economic and Technological Systems Analysis

Subfield: Management of Technology and Innovation

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: gold

Funders: Latvijas Zinātnes Padome, Latvijas Universitate, European Regional Development Fund, Interreg, European Social Fund

OpenAlex ID: W4313497973

Cites: 51

Cited by: 10

Related to: 10