Analytics in Arts and Culture Management Track (AMEC)

The track Analytics in Arts and Culture Management is designed to bring together researchers and PhD students to debate the current trends in the arts and culture sectors. Recently, researchers have shown an increased interest in the arts and culture sectors. However, despite a considerable amount of literature published on the arts and culture sectors, it is still not a well-studied phenomenon. Much uncertainty still exists about the mechanisms of development and transformation of the art and culture ecosystem, stakeholders' interconnection, the role of art and culture in place management and regional development, etc. It is essential not only to study these topics but also to relieve the critical need for data with modern analysis methods such as Text Mining, Social Network Analysis, QCA, etc. Filling these gaps, employing modern approaches and analytical instruments, understanding the nature and mechanisms of the Arts and Culture sectors as a whole and as separate entities become especially topical in the current context, when museums, theatres, creative spaces, and art projects face multiple challenges.

These include new patterns of customers' behaviour, digitalization, increasing direct and indirect competition, and the necessity to contribute to the development of territories. Additionally, organizations of the Arts and Culture sector are being pressured to quickly transform their concepts, business models, and representation mechanisms due to the coronavirus crisis. In this context, the track aims to attract research-oriented scholars for knowledge sharing on the state of modern academic discussion in the area of the arts and culture management.

The COVID-19 pandemic has made the changes to the usual conference format; this year conference will be held online via Zoom. Preliminary session schedule is available below. We kindly ask to register here.

Conference program (PDF, 138 Кб)

To avoid and prevent any delays, participants should join the Zoom session at least 5 minutes prior to the session.

Presenters should join the session at least 10 minutes prior to the session. If you have any questions or concerns, please, contact us at trabskaya@hse.ru or amec@hse.ru any time.