Check out the pictures for CARMA 2022 conference in our social networks:
Less than one week to get CARMA 2022 started!
You can access the virtual version of the program booklet here:
We are pleased to announce that CARMA 2022 will host a special session on Big Data for Central Banks, organized by Juri Marcucci (Bank of Italy). It will include the following presentations:
An interpretable machine learning workflow with an application to economic forecasting
Andreas Joseph (Bank of England)
Identifying Financial Crises Using Machine Learning on Textual Data
Seung Jung Lee (Federal Reserve Board)
Opportunities and risks in the residential sector during a green transition: House prices, energy renovations and rising energy prices
Alessandro T. Martinello (Danmarks Nationalbank)
Central Bank Mandates and the Financial Cycle: through the Lens of Federal Reserve Speeches
Isaiah Hull (Sveriges Riksbank)
Textual analysis of a Twitter corpus during the COVID-19 pandemics
Juri Marcucci (Bank of Italy)
We are proud to announce the list of papers that the scientific committee selected for presentation in CARMA 2022.
Exploration and experience with new web data sources. A Case Study for innovative tourism statistics
Galya Stateva, Marek Cierpiał-Wolan
A visual analysis of the literature on Internet neutrality
Klaudijo Klaser, Lucía Desamparados Pinar García
Exploring Redditors’ Communication Style
Unsupervised Learning for the Analysis and Detection of Fraud in the Insurance Industry
José A. Alvarez-Jareño, José Manuel Pavía
Google Trends Search Information Related to Breastfeeding in the U.S.
Richard A. Fabes, Denise Ann Bodman, Bethany Bustanmante Van Vleet, Carol L Martin
News versus Corporate Reputation: Measuring through Sentiment and financial analysis
Naiara Pikatza-Gorrotxategi, Rosa María Río-Belver, Izaskun Alvarez-Meaza, Enara Zarrabeitia-Bilbao
Cape Town road traffic accident analysis: Utilising supervised learning techniques and discussing their effectiveness
Sebnem Er, Christo Du Toit, Sulaiman Salau
Can unlisted firms benefit from market information? A data-driven approach
Alessandro Bitetto, Stefano Filomeni, Michele Modina
Analysis of Wellness Experiences in a Tourist Destination
Lourdes Cauzo-Bottala, Francisco Javier Quirós-Tomás, Myriam González-Limón, María Del Rocío Martínez-Torres
The effect on purchase intention of social media influencers’ recommendations
Miguel Gonzalez-Mohino, L. Javier Cabeza-Ramirez
What are Gen Z’s and Millennials’ opinions on Masculinity in Advertising: a Qualitative Research Study
Toms Kreicbergs, Deniss Ščeulovs
Influence of popularity on the transfer fees of football players
Pilar Malagón-Selma, Ana Debón, Josep Domenech
Social Desirability and the Willingness to Provide Social Media Accounts in Surveys. The Case of Environmental Attitudes.
Beate Klösch, Markus Hadler, Markus Reiter-Haas, Elisabeth Lex
Evaluation of the use of influencers for the development of consumer satisfaction in the Baltic consumer goods market
Iveta Linina, Velga Vevere, Rosita Zvirgzdina
Collaborate for what: a structural topic model analysis on CDP data
Camilla Salvatore, Alice Madonna, Annamaria Bianchi, Albachiara Boffelli, Matteo Giacomo Maria Kalchschmidt
Machine Learning and MADIT methodology for the fake news identification: the persuasion index
Gian Piero Turchi, Luisa Orrù, Christian Moro, Marco Cuccarini, Monia Paita, Marta Silvia Dalla Riva, Davide Bassi, Giovanni Da San Martino, Nicolò Navarin
Applying NLP techniques to characterize what makes an online review trustworthy
María Olmedilla Fernández, José Carlos Romero, Rocío Martínez-Torres, Sergio Toral
Emergency Calls in the City of Vaughan (Canada) During the COVID-19 Pandemic: A Spatiotemporal Analysis
Adriano O. Solis, Ali Asgary, Nawar Khan, Janithra Wimaladasa, Maryam S. Sabet
Implementing sentiment analysis to an open-ended questionnaire: Case study of digitalization in elderly care during COVID-19
Ida Toivanen, Venla Räsänen, Jari Lindroos, Tomi Oinas, Sakari Taipale
Changes in corporate websites and business activity: automatic classification of corporate webpages
Joan Manuel Valenzuela Rubilar, Josep Domenech, Ana Pont
Understanding the effects of Covid-19 on P2P hospitality: Comparative classification analysis for Airbnb-Barcelona.
Juan Pablo Argente Del Castillo Martínez, Isabel P. Albaladejo
Simulating the inconsistencies of Google Trends data
Eduardo Cebrián, Josep Domenech
Policy indicators from private online platforms
Jose Vila, Jose Luis Cervera-Ferri, Yolanda Gomez
Covid 19 and lodging places
Estefania Ruiz Martinez, Francisco Porras-Bernardez, Georg Gartner
Toward an early detection of SME’s default with websites’ indicators
Josep Domenech, Lisa Crosato, Caterina Liberati
Study of e-commerce trends based on customer characteristics in Latvia
Igors Babics, Rosita Zvirgzdiņa
Imperatives of scalable data-driven analytics
Big data for public value: some open questions
Investigating mechanisms for compensating for an inability to touch products: the role of brand and situational involvement
Lili Zheng, Michel Plaisent, Prosper Bernard
Bibliometric analysis of Experimental Economics and progress of the research field
Myriam González-Limón, Asunción Rodríguez-Ramos, Cristina Maldonado
Abuse of Big Data in Online Gambling
Evaluating E-Learning systems success to understand student’s performance during Covid Pandemic.
Eliseo Bustamante, Mónica Martínez-Gómez, César Berna-Escriche
Analysis of factors involved in the teaching-learning system in a state of emergency
Alba Lira Pérez Avellaneda, Diana Cueva, Mónica Martínez-Gómez
Refusing to be safe. The Social Network Communication of deniers.
Rosario D’Agata, Simona Gozzo
Topic modeling in court rulings
Juan Diego Cuenca Camacho
Automated real estate valuation disruption in the Smart Cities context
Andrea San José Cabrero, Gema Ramírez Pacheco
We are pleased to host in CARMA 2022 a special session on The Internet and Big Data in Official Statistics. It is organized by Aidan Condron, chair of the WISER group.
The session will include contributions from experts of Eurostat, CBS Netherlands, Statistics Poland, Statistics Austria, and the Central Statistics Office, Ireland.
More information about the session can be found here:
We are glad to announce that Dr. Giuliano Resce (University of Molise) has accepted our invitation to give a keynote speech about Digital Methods for Economics and Social Sciences in CARMA 2022.
You can find all the information about him here.
We are glad to announce that Dr. Fabian Braesemann (Oxford Internet Institute and Saïd Business School) has confirmed his participation as keynote speaker in CARMA 2022 to talk about Social Data Science and the Digital Economy.
You will find all the information about his speech here.
We can’t wait for his talk!
CARMA 2022 will be held on 29 June – 1 July 2022 in Valencia as a hybrid conference: face-to-face and virtual. Full paper submission deadline is 15 March 2022.
The conference organizing committee is so happy to see you again!
We are currently preparing the website for CARMA 2022. It will be ready soon 🙂
We are glad to announce that the proceedings of CARMA 2020 are already available!!! Click here to check them.
We would like to announce the list of papers that have been nominated as candidates for the Best Paper Award. The nominated papers were selected based on their review scores
The final decision will be made during the conference by the best paper committee based on the presentation and Q&A. The award will be announced and conferred during the closing session (Thursday, 9th July at 15:45).
The best paper award is sponsorized by the Journal of Open Innovation: Technology, Market, and Complexity.
Donald Trump, investor attention and financial markets
Tapas Tanmaya Mohapatra, Prof. Dr. Monika Gehde-Trapp
Model degradation in web derived text-based models
Piet Daas, Jelmer Jansen
Mining News Data for the Measurement and Prediction of Inflation Expectations
Diana Gabrielyan, Lenno Uusküla, Jaan Masso
High order PLS path modeling to evaluate well-being merging traditional an big data: A longitudinal study
Elena Siletti, Francesca De Battisti
Comparing Methods to Retrieve Tweets: a Sentiment Approach
Daniele Toninelli, Stephan Schlosser, Michela Cameletti