Artificial intelligence
How AI adoption changes productivity, innovation and the labour market.
Working version: some of the content is sample text awaiting approval by the project team.
NSF contract No. (to be added)
Artificial intelligence, digital economy, economic development
We study how the three forces shape one another across the European Union, and whether an economy can advance on all three at once.
The three shares always add up to 100%: when one grows, another gives way. The chart is an illustration, not research data.
How AI adoption changes productivity, innovation and the labour market.
Digital connectivity, skills and new economic models, and the inequalities between them.
Sustainable growth, competitiveness and social inclusion across the EU.
Since the pandemic, European economies have been digitalising faster than ever, while artificial intelligence moves into production, services and government. The gains are not shared evenly: some countries and regions pull ahead and others fall behind.
ArtInDIGECDevelopment studies the relationship between artificial intelligence, the digital economy and economic development as a trilemma. The team combines bibliometric analysis, a survey of digital literacy, econometric models and legal analysis to produce policy recommendations.
Only confirmed figures are shown, each for the stated reporting period.
The project treats artificial intelligence, the digital economy and economic development as interdependent processes. Progress in one does not automatically bring progress in the others: rapid technology adoption can widen inequalities, and without digital skills the economic effect stays limited.
The research covers the member states of the European Union in the period after the COVID-19 pandemic and combines quantitative and qualitative methods.
To study and measure how artificial intelligence, the digital economy and economic development interact in EU countries after the pandemic, and to formulate evidence-based policy recommendations.
Artificial intelligence, the digital economy and economic development form a trilemma: simultaneous progress on all three is possible only with deliberate policies on digital skills, access and regulation.
The member states of the European Union, with a particular focus on Bulgaria and comparisons with selected countries in South-East Europe.
Bibliometric analysis of the literature; a survey and a Digital Literacy Index (DLI); econometric modelling of the link between AI and growth; comparative legal analysis.
New empirical evidence on digital literacy and inequality, publications in indexed journals, a practical research guide and recommendations for public institutions.
Each work package is shown with its current status.
A systematic literature review and a map of research strands.
A survey of 418 respondents and development of the DLI.
An empirical assessment of the link between AI, digitalisation and economic growth in the EU.
Comparative legal analysis, policy recommendations and a practical research guide.
Researchers from South-West University “Neofit Rilski” working in economics, finance and law.
Research staff
Principal investigator
Associate Professor, South-West University “Neofit Rilski”
Research interests: Finance, digital economy, economic growth
Research staff
Researcher (sample profile)
Academic position, South-West University “Neofit Rilski”
Research staff
Postdoctoral researcher (sample profile)
Academic position, South-West University “Neofit Rilski”
Research staff
Early-career researcher (sample profile)
Academic position, South-West University “Neofit Rilski”
Administrative support
Administrative support (sample profile)
South-West University “Neofit Rilski”
The main strands in which the project delivers results. Only approved, aggregated data are published.
A map of the literature on AI, the digital economy and development: leading topics, authors and journals.
A Digital Literacy Index computed from a survey of 418 respondents.
Differences in access, skills and use of digital technology between groups and regions.
Empirical estimates of the link between AI adoption and economic growth.
A review of the European and national legal framework for AI and digital services.
Policy recommendations for public institutions, business and education.
Papers and conference contributions from the project, with full bibliographic details.
2026
Примерна публикация: заглавие на статия по проекта
Паскалева, М. и съавтори. Наименование на изданието, том, брой, страници
2026
Примерна публикация: доклад от международна конференция
Автори. Наименование на конференцията, място, дата, страници
2027
Примерна публикация: статия в подготовка
Автори
No publications of this type.
Conferences, public lectures, awards and team appearances.
On 10 June 2026 a public lecture with Prof. Gancho Ganchev, PhD, was held as part of the project.
A study by the team on the digital economy in Bulgaria and Albania received an Outstanding Paper award.
Team members presented project results at research conferences.
Approved materials for download: methods, questionnaires, presentations and reports.
The survey instrument used in the study.
Methodological notes on computing the Digital Literacy Index.
Assessment matrices developed in the project.
For questions about the project, its results and opportunities to collaborate.
South-West University “Neofit Rilski”
66 Ivan Mihaylov Str.
2700 Blagoevgrad, Bulgaria
The project is funded by the Bulgarian National Science Fund at the Ministry of Education and Science. (Sample wording – the approved text is to be provided.)