Maryna Nehrey
Fellow 2023/2024
Agricultural Economy
National University of Life and Environmental Sciences of Ukraine, Kyiv
Collegium Helveticum, Zurich
Bio
Maryna Nehrey (born 1980 in Khmelnytskyi, Ukraine) is an agricultural economist. Her academic research focuses on the development of the Ukrainian agricultural sector, risk management, and economic modeling. In recent years, she has turned to digital transformation in agriculture and integrated assessment of digital technology adoption. Her intellectual curiosity is stimulated by complex issues that require insights from a variety of disciplines, ranging from agricultural economics to digital technology and sustainable development.
Maryna received her PhD from the Ivan Franko National University of Lviv, Ukraine. Before joining the Collegium, she was a visiting professor in the Agricultural Economics and Policy Group at ETH Zurich (2022-2023) and an associate professor in the Department of Economic Cybernetics at the National University of Life and Environmental Sciences of Ukraine. Beyond her remarkable research endeavours, Maryna demonstrates a passionate commitment to social and community projects, actively participating in initiatives that contribute to the greater good.
Digital Transformation of the Agricultural Sector for Sustainable Development - Pathways, Drivers, and Policy Implications
The main objective of the project is to improve our understanding of the impact of digitalization on the efficiency of the agricultural sector. To achieve this, the project uses data mining tools and techniques as well as risk assessment strategies to inform decisions on digital investments. Within this, the potential of digitalization to increase business margins and contribute to the global “zero hunger” goal set by the UN Sustainable Development Programme is a driving motivation.
The project focuses on several key facets. It explores the global landscape of experiences with agricultural digitalization and develops a methodology to assess its effectiveness. Furthermore, the study includes an analysis of data availability and the creation of databases, an assessment of the efficiency of agricultural producers by evaluating the state of digitalization of the sector, and the application of ML techniques. Finally, the project’s scope extends to forecasting the digitalization trajectory of the agricultural sector, in line with broader economic trends.