Working version: some of the content is sample text awaiting approval by the project team.

NSF contract No. (to be added)

The new trilemma of post-pandemic Europe

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.

About the project Research results

The three shares always add up to 100%: when one grows, another gives way. The chart is an illustration, not research data.

Artificial intelligence

How AI adoption changes productivity, innovation and the labour market.

Digital economy

Digital connectivity, skills and new economic models, and the inequalities between them.

Economic development

Sustainable growth, competitiveness and social inclusion across the EU.

The project in brief

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.

Full project description

Results in numbers

Only confirmed figures are shown, each for the stated reporting period.

survey respondents
418
Stage 1
research publications
20
Stage 1
international award
1
Outstanding Paper Award
work packages
2
Stage 1 – completed

About the project

Official title (Bulgarian)
Изследване на новата трилема в постпандемична Европа: изкуствен интелект – дигитална икономика – икономическо развитие
Official title (English)
Investigating the new trilemma in post-pandemic Europe: artificial intelligence – digital economy – economic development

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.

Main goal

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.

Specific objectives

  1. To map the literature on AI, the digital economy and development through bibliometric analysis.
  2. To measure digital literacy through a survey and a dedicated index (DLI).
  3. To assess digital inequality between countries, regions and social groups.
  4. To model the link between AI adoption and economic growth.
  5. To analyse the legal framework and derive policy recommendations.

Research questions

  • Can an economy advance on all three dimensions of the trilemma at once?
  • Which factors explain differences in digital literacy?
  • How does AI regulation affect innovation and growth?

Research hypothesis

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.

Scope

The member states of the European Union, with a particular focus on Bulgaria and comparisons with selected countries in South-East Europe.

Methodology

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.

Expected impact

New empirical evidence on digital literacy and inequality, publications in indexed journals, a practical research guide and recommendations for public institutions.

Stages and work packages

Each work package is shown with its current status.

Stage 1

  1. WP 1 Completed
    Theoretical framework and bibliometric analysis

    A systematic literature review and a map of research strands.

  2. WP 2 Completed
    Survey and Digital Literacy Index

    A survey of 418 respondents and development of the DLI.

Stage 2

  1. WP 3 In progress
    Econometric modelling: AI and growth

    An empirical assessment of the link between AI, digitalisation and economic growth in the EU.

  2. WP 4 Planned
    Legal analysis, recommendations and guide

    Comparative legal analysis, policy recommendations and a practical research guide.

Team

Researchers from South-West University “Neofit Rilski” working in economics, finance and law.

  • Research staff

    Assoc. Prof. Mariya Paskaleva, PhD

    Principal investigator

    Associate Professor, South-West University “Neofit Rilski”

    Research interests: Finance, digital economy, economic growth

  • Research staff

    Name Surname

    Researcher (sample profile)

    Academic position, South-West University “Neofit Rilski”

  • Research staff

    Name Surname

    Postdoctoral researcher (sample profile)

    Academic position, South-West University “Neofit Rilski”

  • Research staff

    Name Surname

    Early-career researcher (sample profile)

    Academic position, South-West University “Neofit Rilski”

  • Administrative support

    Name Surname

    Administrative support (sample profile)

    South-West University “Neofit Rilski”

Research results

The main strands in which the project delivers results. Only approved, aggregated data are published.

  • Bibliometrics

    A map of the literature on AI, the digital economy and development: leading topics, authors and journals.

  • Digital literacy and the DLI

    A Digital Literacy Index computed from a survey of 418 respondents.

  • Digital inequality

    Differences in access, skills and use of digital technology between groups and regions.

  • AI and growth

    Empirical estimates of the link between AI adoption and economic growth.

  • Legal analyses

    A review of the European and national legal framework for AI and digital services.

  • Recommendations

    Policy recommendations for public institutions, business and education.

Publications

Papers and conference contributions from the project, with full bibliographic details.

  1. 2026

    Примерна публикация: заглавие на статия по проекта

    Паскалева, М. и съавтори. Наименование на изданието, том, брой, страници

    Journal articlePublished

  2. 2026

    Примерна публикация: доклад от международна конференция

    Автори. Наименование на конференцията, място, дата, страници

    Conference paperAccepted

  3. 2027

    Примерна публикация: статия в подготовка

    Автори

    Journal articleIn preparation

News and events

Conferences, public lectures, awards and team appearances.

Public lecture Event date:

Public lecture with Prof. Gancho Ganchev, PhD

On 10 June 2026 a public lecture with Prof. Gancho Ganchev, PhD, was held as part of the project.

Award

Outstanding Paper award for research on the digital economy

A study by the team on the digital economy in Bulgaria and Albania received an Outstanding Paper award.

Participation

Participation in research conferences

Team members presented project results at research conferences.

Resources

Approved materials for download: methods, questionnaires, presentations and reports.

  • Digital literacy questionnaire

    The survey instrument used in the study.

    PDFBulgarian

    Coming soon
  • Algorithm for computing the DLI

    Methodological notes on computing the Digital Literacy Index.

    PDFBulgarian

    Coming soon
  • Assessment matrices

    Assessment matrices developed in the project.

    PDFBulgarian

    Coming soon

Gallery

Photos from project events, grouped by album.

Public lecture by Prof. Gancho Ganchev, PhD

. Sample images – real photos are added once rights are cleared.

  • Sample image 1
  • Sample image 2
  • Sample image 3

Research conferences

Sample images – real photos are added once rights are cleared.

  • Sample image 4
  • Sample image 5

Contact

For questions about the project, its results and opportunities to collaborate.

South-West University “Neofit Rilski”

66 Ivan Mihaylov Str.
2700 Blagoevgrad, Bulgaria

Principal investigator
Assoc. Prof. Mariya Paskaleva, PhD

Write to us

Funding

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.)