International Scientific Conference

Evidence-Based Management in the Age of AI

The conference will bring together representatives of the academic community, technology companies, and industry experts. Participants will discuss the impact of artificial intelligence on the development of science, business, and education, as well as changes in patterns of human behavior. They will also consider a key question: where is the boundary between using AI as a decision-support tool and delegating to algorithms functions traditionally associated with human choice and responsibility?

When 17 August 2026

Where online

Speaker registration Attendee registration

ABOUT THE CONFERENCE

Today, organizations around the world are on the cusp of a major transformation driven by the development of artificial intelligence technologies. However, researchers and practitioners still do not agree on how AI will impact the future of business (McKinsey, 2026), the development of human capital, and the skills of the future (WEF, The Future of Jobs Report 2025).

“More than half of executives (52%) consider the potential for deeper human-machine collaboration to be a very or critically important factor. More than 70% of managers and employees are more likely to choose and stay with an organization if its value proposition for employees helps them thrive in a world driven by artificial intelligence.”

Deloitte, 2025

"Artificial intelligence tools do not eliminate the need for human skills, but they do change our understanding of what competencies people need to possess. These changes in the labor market open up significant economic opportunities. According to our estimates, by 2030, AI agents and robots will be able to generate nearly $3 trillion in annual economic value for the U.S. economy.”

McKinsey, 2026

“The widespread adoption of AI could lead to a decline in human cognitive autonomy and the gradual transfer of an increasing number of decisions to algorithms.”

Prunkl, 2024; Krook, 2025

“Artificial Intelligence as a Tool for Expanding Human Capabilities, Improving the Quality of Work, and Supporting Everyday Activities”

Zohuri & Mossavar-Rahmani, 2024; Pago, 2024

The conference draws on current research in decision-making, consumer behavior, trust in technology, choice architecture, human–AI interaction, and the transformation of business and higher education.

Gelbrich, K., Roschk, H., Miederer, S., & Kerath, A. (2026). Automated versus human agents: A meta-analysis of customer responses to robots, chatbots, and algorithms and their contingencies. Journal of Marketing, 90(2), 1–26.
Guthrie, C. H., Fosso-Wamba, S., Queiroz, M. M., & Cai, H. (2025). The Impact of Artificial Intelligence Capabilities on Decision-Making Performance: A Longitudinal Study. Journal of Global Information Management (JGIM), 33(1), 1–27.
Kim, E., Jang, G. Y., & Kim, S. H. (2022). How to apply artificial intelligence for social innovations. Applied Artificial Intelligence, 36(1), 2031819.
Leoni, L., Gueli, G., Ardolino, M., Panizzon, M., & Gupta, S. (2024). AI-empowered KM processes for decision-making: empirical evidence from worldwide organisations. Journal of Knowledge Management, 28(11), 320–347.
Lim, W. M., Kumar, S., Pandey, N., Verma, D., & Kumar, D. (2023). Evolution and trends in consumer behaviour: Insights from the Journal of Consumer Behaviour. Journal of Consumer Behaviour, 22(1), 217–232.
Pago, L. M. (2024). Artificial intelligence empowerment in leadership: A systematic review of positive impacts and applications. International Journal of Multidisciplinary Research and Analysis, 7(8), 4118–4125.
Pei, G., Li, H., Lu, Y., Wang, Y., Hua, S., & Li, T. (2024). Affective computing: Recent advances, challenges, and future trends. Intelligent Computing, 3, 0076.
Teece, D. J. (2007). Explicating dynamic capabilities. Strategic Management Journal, 28(13), 1319–1350.
Waisman, R. M., Derksen, T., & Häubl, G. (2026). How default choice architecture impacts downstream behavior: A taxonomy, theoretical framework, and research agenda. Consumer Psychology Review, 9(1), 31–50.

Deloitte (2025). 2025 Consumer Products Industry Outlook. Deloitte Insights.
McKinsey & Company (2025). State of the Consumer 2025: When Disruption Becomes Permanent.
Organisation for Economic Co-operation and Development (2024). OECD Digital Economy Outlook 2024. OECD Publishing.
Stanford Institute for Human-Centered Artificial Intelligence (2026). AI Index Report 2026. Stanford University.
World Economic Forum (2025). The Future of Jobs Report 2025. World Economic Forum.

Transparency and Interpretability of AI

Trust in Artificial Intelligence, Algorithm Explainability, and the Responsible Use of AI

Data Quality

An Evidence-Based Approach to Decision-Making and Data Reliability

Human-AI Interaction

New Models of Collaboration Between Humans and Intelligent Systems

Consumer Behavior

Changes in User Behavior in a Digital and Algorithmic Environment

Business and Startups

The Transformation of Entrepreneurship and Innovative Business Models

Higher Education

The Evolution of Universities and Educational Programs in the Age of AI

High Technology

Cutting-edge technological solutions and applied research

Publication Strategy

Publications in leading international scientific journals and enhancing research visibility

APPLY AS A STUDENT

The conference brings together academic discussion, practical case studies, and demonstrations of technological solutions. The program includes plenary sessions, a presentation by an international research laboratory, thematic sessions, the Deep Tech Showcase, and a hands-on workshop on preparing manuscripts for publication in leading international scientific journals.

Section 2.
Transparency and Interpretability in the Age of AI

Consumer behavior research is being conducted as part of the research project titled “A Study of Consumer Behavior Regarding Executive Education Products: A Comparative Analysis of Factors Influencing the Adoption and Use of Generative AI for the Design of Adaptive Educational Solutions in Russia, Southeast Asia, and Latin America.”

Section 1.
Consumer Behaviour in AI-driven Economy

Yulia Trabskaya

Ph.D. in Economics, Associate Dean for International Development, FTMI ITMO

Anton Potsulin

Ph.D. in Economics, Associate Professor of Practice, Coordinator of the “Consumer Behavior Analysis” Competency Center FTMI ITMO

Elena Shakina

Ph.D. in Economics, Associate Dean for Research FTMI ITMO

Kelly Alfaro

Professor at the National University of Engineering (Peru)

SECTIONS

SUBMIT AN APPLICATION TO BE A PRESENTER

Conference Program

10:00-11:00
online

Workshop: "How to Publish in High-Impact Journals: From Research Idea to Successful Publication" + Q&A Session

Patarapong Intarakumnerd
Professor and Deputy Program Director, Science, Technology and Innovation Policy Program, National Graduate Institute for Policy Studies (GRIPS) Tokyo, Japan, Editor-in-Chief of Asian Journal of Technology Innovation (2.5 (2025) 5 year IF 47K annual downloads/views)

15:00−15:30
online

Case-pitch: "The Competency-Role Model of an Innovation Faculty"

Andrey Anfinogenov
Dean of the Faculty of Technological Management and Innovations, ITMO University

15:30−16:00
online

Case-pitch: "International Standards for Educational Quality: New Benchmarks for Universities"

Eric Talavera Campbell
Executive Director, EQUAA (Education Quality Accreditation Agency)

16:00-16:20
online

Presentation of the International Joint Laboratory Consumer Behavior Research in the Age of AI

Yulia Trabskaya
PhD in Economics, Vice Dean for International Development, FTMI ITMO University, Russia

Anton Potsulin
PhD in Economics, Associate Professor of Practice, FTMI ITMO University, Russia

Roxana Desireé Acevedo Peña
Head of the Artificial Intelligence Integration and Promotion Unit. Office of the Vice President for Academic Affairs, Universidad Bernardo O’Higgins, Chile

Pr. Lic. Oriana Cherini
Faculty of Social Work (FTS), National University of Entre Ríos (UNER), Argentina

Pr. Claudia Isabel Ortiz, Pr. César Rogelio Zuccarino
National University of Córdoba

Pr. Edgar Alcibiades Mesa Suarez
National Academic Vice-Rector's Office Faculty of Administrative, Economic & Financial Sciences International Business Program Fundación Universitaria del Área Andina, Colombia

16:30-18:00
online

Track 1: Consumer Behaviour in AI-driven Economy (Part 1)

Session Chairs:

Yulia Trabskaya, PhD in Economics — Vice Dean for International Development, Faculty of Technological Management and Innovations (FTMI), ITMO University;
Anton Potsulin, PhD in Economics — Associate Professor of Practice and Coordinator of the Consumer Behavior Analysis Competence Center, Faculty of Technological Management and Innovations (FTMI), ITMO University.

16:30-18:00
online

Track 2: Transparency and Interpretability in the Age of AI (Part 1)

Модераторы сессии:

Elena Shakina, PhD in Economics, Vice Dean for Research, FTMI ITMO University;
Kely Alfaro, Head of the Technical Cooperation and International Relations Department, Faculty of Engineering Economics, Statistics and Social Sciences, National Engineering University.

15:00-18:30
online

Showcase of Solutions by ITMO Developers (Deep Tech)

18:30-19:30
online

Track 1: Consumer Behaviour in AI-driven Economy (Part 2)

19:00-20:00
online

Track 2: Transparency and Interpretability in the Age of AI (Part 2)

REGISTER FOR THE SESSIONS

PROGRAM COMMITTEE

Elena Shakina

Committee Chair
PhD, Vice Dean of the Faculty of Technological Management and Innovations (FTMI), ITMO University.

Kely Alfaro

Head of the Technical Cooperation and International Relations Unit, Faculty of Economic Engineering, Statistics and Social Sciences, National Engineering University

Mohammad Falahat Nejadmahani

Ph.D., Professor at the Asia-Pacific University, Director of the Research Center for Sustainable Development and Corporate Social Responsibility (Malaysia)

Yulia Trabskaya

PhD, Vice Dean of the Faculty of Technological Management and Innovations (FTMI), ITMO University

Anton Potsulin

PhD in Economics, Business Expert, Entrepreneur, Russia

Zhang Junshou

Dean of the School of Innovation at the University of International Studies, Jilin University (China)

Oleg Eliseev

Director of the Center for Science, Technology, and Innovation (UCSNKiV); Project Leader for "Practice-Oriented Research, Development, and Innovation"; Advisor to the ITMO Student Research Society

Alejandra Hernández Tapia

Coordinator of the Psychological and Tutoring Support Program, Directorate for Learning Support and General Education, Bernardo O’Higgins (Chile)

Evgeny Yushkov

Deputy Director of the Student Research, Conferences, and Exhibitions Center; Advisor to the ITMO Student Research Association

Ksenia Butylkina

Ph.D. in Technical Sciences, Acting Head of the Center for Scientific Research and Innovation, Advisor to the ITMO Student Research Association

ORGANIZING COMMITTEE

Anton Potsulin

PhD in Economics, Business Expert, Entrepreneur, Russia

Edie Nafieva

Intern at the Center for International Projects, ITMO University’s Faculty of Physics, Mathematics, and Informatics

Andrey Nikishin

Chair of the ITMO Student Scientific Society, Engineer of Higher Education in Digital Culture

Vladimir Novikov

ITMO Student Scientific Society Coordinator, Engineer at the Center for Science, Technology, and Innovation

Liubov Silakova

Moderator (track №2 «Transparency and Interpretability in the Age of AI»), PhD, Associate Professor at FTMI ITMO

WHO SHOULD PARTICIPATE?

Who Is This Conference For?

Researchers

Discuss current challenges in artificial intelligence, present research findings, and build international academic connections

University Faculty

Exchange best practices in teaching, research, and curriculum development

Students and Postgraduate Students

Receive expert feedback, present their research, and expand professional networks

Business and Startup Representatives

Explore practical AI use cases, discuss the transformation of business models, and the development of innovation

Leaders of Educational and Academic Programs

Discuss the development of educational programs in the age of artificial intelligence, exchange management experience, and find new formats for international collaboration

AI and Data Analytics Professionals

Learn about the latest research and technologies, exchange AI implementation experience, and discuss promising directions for industry development

Innovation and Digital Transformation Specialists

Explore successful artificial intelligence implementation practices, discuss organizations’ digital transformation strategies, and find new opportunities for collaboration

This is a unique community that sets the direction for management education, defines trends in the startup community, and develops collaboration between science, business, and education in Russia

Leader in technological management and innovative entrepreneurship

ORGANIZERS

2026

FTMI ITMO

Contact us

Documents

dulab@itmo.ru

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