Article Collection in the Journal of Applied Economics

We are pleased to announce a new Article Collection associated with CARMA in the Journal of Applied Economics:

Beyond Conventional Frameworks: AI and Internet Data Reshaping Applied Economics

The Collection welcomes original applied-economics research that uses artificial intelligence, machine learning and internet-based data to address economic questions. Submissions developed from research presented at CARMA are particularly encouraged, although the call is open to all researchers.

Relevant topics include:

  • Machine learning econometrics and causal machine learning
  • Large Language Models and generative AI in economics
  • Natural Language Processing and text-based economic indicators
  • Google Trends and search-engine data
  • Social media analytics and opinion mining
  • Web scraping and online content analysis
  • Financial markets analysis and prediction
  • Labour-market and skills intelligence
  • Consumer behaviour and sentiment from digital traces
  • Sustainability, ESG and development indicators
  • Official statistics enhanced with web data and AI
  • Tourism, mobility and urban economics
  • Algorithmic fairness and responsible AI
  • Digital platforms, data-economy governance and regulation
  • Inequality, the digital divide and gender in digital contexts

The Guest Advisors are Lisa Crosato, Caterina Liberati, Josep Domènech and Konstantinos P. Tsagarakis.

Manuscript submission deadline: 20 April 2027

Authors submitting to the Collection should select:

  1. Beyond Conventional Frameworks: AI and Internet Data Reshaping Applied Economics as the Article Collection; and
  2. Innovation Economics as the journal section.

A 10% publication discount is available to all CARMA participants. Contact us at carmaconf@upv.es to receive it. The code must be entered during submission and cannot be applied retrospectively.

All manuscripts will undergo the journal’s standard desk assessment and peer-review process.

Read the full call for papers and submission information