Category Archives: Latest News

Special Session on Official Statistics

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:

The Internet and Big Data in Official Statistics

 

 

 

 

Fabian Brasean confirmed as keynote speaker

We are glad to announce that Dr. Fabian Braesemann (Oxford Internet Institute and Sa√Įd 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 website is coming soon

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 ūüôā

 

 

 

 

 

Nominations for the Best Paper Award of CARMA 2020

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.

Best paper nominees

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 Uusk√ľla, 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

List of accepted papers

We are proud to announce the list of papers that the scientific committee selected for presentation in CARMA 2020.

Regular papers

What drove engineers’ away? Evidence based on sentimental analysis
Wen Wang

Journalists as end-users: quality management principles applied to the design process of news automation
Laurence Dierickx

The MARS algorithm in the spatial framework: Non-linearities and spatial effects in hedonic models
Fernando Lopez, Konstantin Kholodilin

A method for determining the emergence level of transformer technologies for green energy applications
Gaizka Garechana, Rosa R√≠o-Belver, Enara Zarrabeitia, Izaskun √Ālvarez-Meaza

Mining News Data for the Measurement and Prediction of Inflation Expectations
Diana Gabrielyan, Lenno Uusk√ľla, Jaan Masso

The citizens’ attention in Madrid City through the study of call records
Pilar Rey Del Castillo

Uncertainty Reduction Strategy and Crowdfunding success. Applying quantitative content analysis to crowdfunding.
Stefanie Pakura

Investigating the impacts of streetscapes on the property values in Shanghai using street-level images and machine learning
Waishan Qiu

eWOM in reward-based crowdfunding platforms: a behavioral approach
Pau Sendra Pons, Irene Comeig Ramírez

Identification of online reviews helpfulness using Neural Networks
Sergio L. Toral, María Olmedilla, Mª Del Rocío Martínez Torres

The effects of retargeting on purchase incidence, channel choice and purchase quantity
Tanya Mark, Peter Verhoef, Katherine Lemon, Tirtha Dhar

Using Natural Language Processing to Measure the Quality of Employees’ Annual Goals
Yingyue Luan, David Stillwell

An algorithm to fit conditional tail expectation regression models for vehicle excess speed in driving data
Albert Pitarque, Montserrat Guillen

Regression scores to identify risky drivers from braking pulses
Shuai Sun, Jun Bi, Montserrat Guillen, Ana Maria Pérez-Marín

Financial Stability Governance and Central Bank Communications
Juan M. Londono, Ricardo Correa, Stijn Claessens

Pruned Wasserstein Index Generation Model and wigpy Package
Fangzhou Xie

Model degradation in web derived text-based models
Piet Daas, Jelmer Jansen

User-defined Machine Learning Functions
Markus Herrmann, Marc Fiedler

A field study on the impacts of implementing concepts and elements of industry 4.0 in the biopharmaceutical sector
Felipe Silva, David Resende, Marlene Amorim, Monique Borges

Airbnb’s influence on tourism industry in Mexico 2010-2018
Narciso Salvador Tinoco Guerrero, Mario Gómez Aguirre, Luis Manuel Tinoco Guerrero

Internet searches as a leading indicator of house purchases in a subnational framework: the case of Spain
Concha Artola, Jorge Herrera De La Cruz

Nowcasting GDP with big data from internet
Luca Onorante

Causal discovery with Point of Sales data
Peter Gmeiner

High order PLS path modeling to evaluate well-being merging traditional an big data: A longitudinal study
Elena Siletti, Francesca De Battisti

Big Data in Corporate Governance decision
Alfredo Juan Grau Grau, Inmaculada Bel Oms

Question-Generating Datasets: Facilitating Data Transformation of Official Statistics for Broad Citizenry Decision-Making
Patricia Snell Herzog, Rahul Yadav, Davide Bolchini

Interpretable Machine Learning – An Application Study Using the Munich Rent Index
Julia Brosig

Rotten tomatoes and rotten regressions? A critique of statistical models predicting and explaining box office revenues using big data
Jordi Mckenzie

Evaluating accredited mHealth applications. An exploratory study
Pilar Sancha, Ana Gessa, Amor Jiménez

Strategic Open Innovation model: mapping Iberdrola network
Naiara Pikatza, Izaskun √Ālvarez, Rosa Mar√≠a R√≠o-Belver, Ernesto Cilleruelo

Data granularity in mid-year life table construction
Jose M Pavia, Natalia Salazar, Josep Lledo

Extracting User Behavior at Electric Vehicle Charging Stations with Transformer Deep Learning Models
Omar Isaac Asensio, Daniel J Marchetto, Sooji Ha, Sameer Dharur

Enhancing UX of analytics products with AI technology
Markus Herrmann, Christo Mirchev, Jean Metz

Comparative multivariate forecast performance for the G7 Stock Markets: VAR Models vs deep learning LSTM neural networks
Nuno Rafael Barbosa Ferreira

Searching for a measure of cultural proximity: Using Google Trends to explain preferences across national boundaries
Paul Crosby, Sunny Y Shin

Investigating inefficiencies of bookmaker odds in football using machine learning
Benedikt Mangold, Johannes St√ľbinger

Search in second Hand market : The case of mobile phone
Yeonju Baik

Sentiment Analysis of Twitter in Tourism Destinations
Carmen Perez Caba√Īero, Enrique Bigne, Carla Ruiz Mafe, Antonio Carlos Cuenca

Google Trends topics based Uncertainty: A multi-national approach
Florian Sch√ľtze

Internet, Disinformation, and Conspiracist Ideation
Amaryllis Mavragani

Forecasting Tourist Traffic in Europe using Google Trends Data
Amaryllis Mavragani, Konstantinos P Tsagarakis

Bridging internet and cultural heritage through a digital marketing funnel: An exploratory approach
Calin Veghes

Combining content analysis and neural networks to analyze discussion topics in online comments about organic food
Hannah Danner, Gerhard Hagerer, Florian Kasischke, Georg Groh

Setting Crunchbase for Machine Learning: Data Integration, Processing and Feature Engineering
Francesco Ferrati, Moreno Muffatto

Information balance between newspapers and social networks
Andrea Russo, Giovanni Giuffrida, Francesco Mazzeo Rinaldi

Third Places and Art Spaces: Using Web Activity to Measure Cultural Dimensions of Entrepreneurship Across Regions
Timothy F. Slaper

Solutions for a Smart City: convergence between big data, digital sustainability and quality of life
Larissa Galdino Magalh√£es

New technologies and role of direct surveys in the production of Official Statistics
Loredana De Gaetano, Pasquale Papa

Sample Size Sensitivity in Descriptive Baseball Statistics
John Kulas, Marlee Wanamaker, Diuky Padron-Marrero, Hui Xu

The epistemological impacts of big data on public opinion studies
Pedro Neris Caldas, Anderson Vinícius Romanini

Extracting usual service prices from public contracts
Tom√°Ň° Bruckner, Filip Vencovsk√Ĺ

Communicating Corporate Social Responsibility through Twitter: a topic model analysis on selected companies
Annamaria Bianchi, Camilla Salvatore, Silvia Biffignandi

A proposal of a composite indicator for measuring social media presence in the wine market
Andrea Conchado Peir√≥, Jos√© Miguel Carot Sierra, Elena V√°zquez Barrachina, Enrique Ordu√Īa Malea

Population Movement Response to Hurricane Exposure Tracked with Cellphone GPS Location Data
Stephanie Lackner

Political Polarization and Movie Ratings: Web Scraping The Brazilian Contemporary Scenario
Bruno De Oliveira Chagas, Ana Paula Moritz

Comparing Methods to Retrieve Tweets: a Sentiment Approach
Daniele Toninelli, Stephan Schlosser, Michela Cameletti

Donald Trump, investor attention and financial markets
Tapas Tanmaya Mohapatra, Prof. Dr. Monika Gehde-Trapp

#immigrants project: the on-line perception of integration
Rosario D’Agata, Simona Gozzo

Measuring and Forecasting Job-Search in Italy using Machine Learning
Carlo Drago, Gentian Hoxhalli

Poster session

Revisiting the Markowitz model from a data mining perspective
Francisco Salas-Molina, David Pla-Santamaria, Ana García-Bernabeu, Fernando Mayor-Vitoria

Do Sugar Taxes Affect the Right Consumers?
Valerio Serse

Digital credit screening and gender bias: An online experiment
Federico Ramírez, Irene Comeig, Elena Sogo

Digital transformation as an analytical problem of knowledge
Rafal Maciag

Applications of big data to eco-hotel industry with locational factors: an urban analysis in the city of Barcelona
Mariluz Mate S√°nchez De Val, Ricardo Teruel-Gutierrez

How Google searches impact Bankia stock price during its nationalization?
Marcos Gonz√°lez-Fern√°ndez, Carmen Gonz√°lez-Velasco

The Ethical Considerations of Biometric Technologies in Intercollegiate Athletics
Rachel D Roberson

The anatomy of an online firestorm
James Lappeman, Jean Pierre Kloppers

Introducing Dialogic Process Analysis in Natural Language Processing
Gian Piero Turchi, Luisa Orr√Ļ, Annalisa Trov√≤, Christian Moro, Nicol√≤ Navarin

Politics eWOM on Italian social media networks
Andrea Russo, Carlo Colloca

Individual data geolocalization employed in social research
Andrea Russo, Francesco Mazzeo Rinaldi, Giovanni Giuffrida

The problems of digital sovereignty. States and European Union
Guglielmo Cevolin

Big Data for fighting crime in the city of Toronto
Michael Conyette

Political disinformation on social media and the risk to democracy
Gloria Marchetti

From datadumps to clusters by pre-trained embeddings
Virpi Hotti

The conscept of Energy Intelligent Network on the base of Regularizating Bayesian Approach
Svetlana Vasilievna Prokopchina

Measuring Bitcoin Interest: An Interval-Based Composite Leading Indicator Approach
Carlo Drago

Using big data for evaluating development outcomes: a systematic map
Manya Malik, Sayak Khatua, Zeba Siddiqui, Francis Rathinam

CARMA 2020 goes virtual

The worldwide situation regarding COVID-19 is currently affecting all travel plans around the globe. Although we hope the situation gets better in July, the current uncertainty prevents us from organizing CARMA in the traditional format.

Therefore, the organizing committee has decided to organize it as an online event, to be held in the same dates, 8-9 July. It will have the same format as the traditional ones (keynotes, regular sessions, opening and closing, etc.) to be the usual platform for networking, interaction and discussion.

 

 

 

 

 

 

 

 

 

 

 

 

Special issue on Big Data Research for Open Innovation

We are pleased to announce a Special Issue of the Journal of Open Innovation: Technology, Market, and Complexity (ISSN 2199-8531) focusing on the topics covered by CARMA 2020.

Big data approaches in an open innovation environment may enable the flows of knowledge and external cooperation at many different levels. The increasing availability of open and big data sources of information has drawn attention to the different research methods that can be used to extract useful information and support the creation of innovative solutions. This Special Issue will present some of the most recent advances in the application of big data-related research methods to different fields of social sciences.

Find more information about this special issue and the submission here: https://www.mdpi.com/journal/JOItmC/special_issues/big_data_open_innovation

 

 

 

 

 

 

 

 

 

 

Media partnership with the Journal of Open Innovation: Technology, Market, and Complexity

The Journal of Open Innovation: Technology, Market, and Complexity (ISSN
2199-8531, http://www.mdpi.com/journal/JOItmC) is an international,
scientific, open access journal on the open innovation, open business
model, entrepreneurship, complexity, and evolutionary change in the
economy published quarterly online by MDPI.

Authors of high quality presentations in CARMA 2020 will be invited to contribute with their full research papers to the Journal of Open Innovation: Technology, Market, and Complexity.

More details on this will be published soon.