2nd International Conference on Advanced Research Methods and Analytics
– Internet and Big Data in Economics and Social Sciences –
July 12th & 13th, 2018 · Valencia, Spain
Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 2nd International Conference on Advanced Research Methods and Analytics (CARMA) aims to become a forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges.
The CARMA 2018 conference will be held on July 12th and 13th, 2018 at the Faculty of Business Administration and Management of the Universitat Politècnica de València (UPV).
Topics of interest
The program committee encourages the submission of articles discussing challenges related to contemporary issues in Internet and Big Data in economics and social sciences. Topics of interest include, but are not limited to, the following:
- Internet and Big Data sources in economics and social sciences
- Google Trends and Search Engine data
- Web scraping
- Social media and public opinion mining
- Geospatial and mobile phone data
- Big Data methods in economics and social sciences
- Sentiment analysis
- Internet econometrics
- Machine learning econometrics
- Information quality and assessment
- Internet and Big Data applications
- Official statistics
- Tourism forecasting
- Business analytics with social media
- Social behavior and mobility patterns
- Consumer behavior, eWOM and social media marketing
- Politics and social media
- Bibliometrics and sciencetometrics
- Digital transformation and global society
- Privacy and legal aspects
- Electronic Government
- Smart Cities
- Industry adoption
- Gender bias
If you are interested in organizing a special session as part of CARMA 2018, please contact the organization at firstname.lastname@example.org
Submission deadline: 23 March, 2018
Acceptance notification: 11 May, 2018
Camera ready due: 28 May, 2018
Conference: 12-13 July, 2018
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:
Authors from all over the world are invited to submit original and unpublished papers or extended abstracts, which are not under review in any other conference or journal. All submissions will be peer reviewed by the program committee based on their originality, significance, methodological soundness, and clarity of exposition.
Submissions (extended abstracts or full papers) must be written in English and should be in PDF format. They must follow the instructions in the template file, available in Microsoft Word format at:
Full-paper length must be between 4 and 8 pages (A4 size), incorporating all text, references, figures and tables. Extended abstracts (which will not receive a DOI) should not exceed 3 pages.
These guidelines are strict: papers failing to adhere to the guidelines (by being more than 8 pages, altering margins or not following the template) will be rejected without consideration of their merits. Submissions imply the willingness of at least one author to register, attend the conference, and present the paper.
CARMA 2018 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:
The organizing committee looks forward to welcoming you all to a fruitful conference with open discussions and important networking to promote advanced qualitative and quantitative research across all disciplines.