Art, Metrix, and AI Lab

Data-driven research initiative dedicated to the analysis of arts and culture

What We Do.

• Development of Cultural and Arts Indicators and Indexes

-  Designing and validating quantitative indicators to assess the cultural and arts ecosystem

-  Constructing measurable indexes of artistic creativity and cultural value

-  Developing the Cultural Competitiveness Index (regional, national, and global levels)

• Quantitative Meta-Research in Arts and Culture

-  Conducting meta-analyses on the social and economic impacts of the arts

-  Systematic reviews and meta-evaluations of studies on arts participation effects

-  Assessing the effectiveness of arts and cultural education through meta-research

• AI-Based Cultural and Arts Data Analysis and Modeling

-  Predicting cultural demand and trends using artificial intelligence

-  Analyzing audience behavior patterns and developing consumption models for the arts

-  Building personalized recommendation systems for arts engagement using machine learning

• Quantitative Evaluation of Arts Management and Cultural Policy

-  Developing quantitative models for evaluating cultural policy outcomes and effectiveness

-  Establishing objective metrics to measure the performance of arts organizations and institutions

-  Assessing the fairness and efficiency of cultural funding allocation

• Quantitative AI Research on Artistic Creativity

-  Developing AI models to improve the objectivity and reliability of creativity assessment

-  Building AI-based evaluation models and systems for creative works

-  Establishing quantitative methodologies to measure artistic innovation and creativity

• Research on the Utilization of Cultural and Arts Big Data

-  Analyzing the cultural influence of arts through social media big data

-  Conducting text mining for cultural trends and discourse analysis

-  Examining and visualizing digital consumption patterns of the arts through big data