Call for papers

8th International Conference on Advanced Research Methods and Analytics
– AI, Internet Data and Computational Methods in Economics and Social Sciences

1 – 3 July, 2026 · Valencia, Spain
https://carmaconf.org

Scope

Research methods in economics and social sciences are evolving rapidly with the rise of AI-driven analytics, Large Language Models (LLMs), and causal machine learning. The increasing availability of Internet and Big Data sources has enabled new forms of measurement, inference, and theory testing. As these sources, methods, and applications become more interdisciplinary, the 8th International Conference on Advanced Research Methods and Analytics (CARMA 2026) provides a consolidated forum for researchers and practitioners to exchange ideas and advances on how emerging computational and data-intensive methods are applied to social and economic phenomena, and to discuss the opportunities and challenges they bring.

The CARMA 2026 conference will be held on 1 – 3 July 2026 at the Faculty of Business Administration and Management of the Universitat Politècnica de València (UPV).

Topics of interest

The scientific committee invites submissions on recent methodological and applied contributions addressing the challenges of Internet and Big Data in economics and social sciences. Topics include, but are not limited to:

  • Internet and Big Data sources 
    • Google Trends and Search Engine data
    • Social media and public opinion mining
    • Web scraping and online content analysis
    • Geospatial, sensor, and mobile phone data
    • Open and linked data
    • Multimodal and heterogeneous data integration
    • Synthetic data generation for research
  • Data Science and Machine Learning Methods in social sciences
    • AI and machine learning applications 
    • Machine learning econometrics
    • Causal machine learning
    • Causal inference with observational data
    • Large Language Models (LLMs) and generative AI applications
    • Natural Language Processing and text-based measurement
    • Sentiment, topic, and narrative analysis
    • Statistical learning
    • Information quality and assessment
    • Human–AI collaboration and annotation methods
    • Natural Language Processing
    • Explainability and interpretability
    • Algorithmic bias, fairness and accountability
    • Data validation, quality and reproducibility
  • Applications in Economics and Social Sciences
    • Politics and social media
    • Sustainability, ESG and development indicators
    • Financial markets
    • Official statistics
    • Forecasting and nowcasting
    • Tourism and mobility analytics
    • Bibliometrics and sciencetometrics
    • Social and consumer behaviour
    • eWOM and social media marketing
    • Labor market and skills intelligence
    • Business analytics and digital marketing
    • Data-driven innovation and competitiveness
  • Digital Transformation and Global Society
    • Privacy, ethics, and responsible AI
    • Data economy, governance and regulation
    • Digital platforms and market structures
    • e-Government and data-driven policy
    • Smart Cities
    • Industry 5.0 and organizational AI adoption
    • Digital Economy Governance
    • Future of Work and automation
    • Economic inequality in the data economy
    • Gender and diversity in digital contexts

If you are interested in organizing a special session as part of CARMA 2026, please contact the organization at carmaconf@upv.es

Important Dates

Submission deadline: 3 March 2026
Acceptance notification: 28 April 2026
Camera ready due: 22 May 2026
Conference: 1 – 3 July 2026

Student Grants

Students with accepted papers at CARMA 2026 are eligible for grants covering conference fees and partial travel expenses. We strongly encourage students to submit their papers and take advantage of this opportunity to share their research and engage with the international academic community.

Publications

All accepted papers will appear in the conference proceedings with a DOI and ISBN number. They will be published in open access by UPV Press and submitted to be indexed in major international bibliographic databases. Some previous editions are already indexed in the Clarivate Web of Science.

About the venue

Valencia is the third largest city in Spain and is located on the shore of the Mediterranean Sea. It embraces culture and tradition from the past combined with singular architecture, exciting gastronomy, nightlife, and beautiful white sand beaches. Valencia is the capital city of the Comunitat Valenciana region, which is major tourist destination in summer. More info at:

http://www.visitvalencia.com/en/home

Submission guidelines

Authors worldwide are invited to submit original and unpublished papers, which are not under review in any other conference or journal. All submissions must be in English and formatted as PDF documents. To ensure proper formatting, please consult the template, available in Microsoft Word format at the following link:

https://carmaconf.org/template.docx

Papers must be between 4 to 8 pages in length, with page dimensions of 170 by 240 mm. The page count includes the title page, comprising the title, abstract, and keywords, as well as the main text, references, figures, and tables. Only manuscripts adhering strictly to the template will undergo peer review by the scientific committee. Evaluation criteria encompass originality, significance, methodological rigor, and clarity of presentation. By submitting a paper, the authors confirm that at least one of them is committed to registering, participating in the conference, and presenting the paper.

CARMA 2026 is using the OCS platform of UPV Press to manage the submissions. In order to submit your paper, you must first create an OCS account. OCS will provide you with a submissions homepage where you can register your paper submission and make appropriate changes. The submission website is:

https://carmaconf.org/submissions/

The organizing committee looks forward to welcoming you all to a fruitful conference with open discussions and important networking to promote Internet and big data advanced research research across social sciences disciplines.