The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic.

The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.

Special Issue on Statistical Analysis of Complex Economic Data: recent developments and applications
Submission Date: 2024-09-15

High-dimensional data with a complex structure, sometimes deriving from unplanned and almost continuous flow processes (often referred to as big data), are now commonly collected in various fields, ranging from the corporate and industrial world to public administration, from medical sciences, natural and physical to demographic and social ones. Economists and other social scientists are increasingly using large dimensional data and complex data to address longstanding economic questions and complement existing information sources. Complex data produced by online platforms can yield a wealth of diverse, highly granular, multidimensional information with a variety of potential applications. In recent years, applied and non-applied sciences, have been interested in a strong data revolution, especially in terms of data collection and processing. The traditional statistical measures, used to monitor economic activities, are transformed from slow and periodic recordings into real-time information, with the need to integrate the different sources of information. Complex data offer additional information in order to analyse economic phenomena, even if, to date, the main problems are still open questions from a methodological point of view and in terms of costs to collect, store and analyse them. In the light of this, the Conference “Statistical Analysis of Complex Economic Data: Recent Developments and Applications” aims to discuss the main issues about the analysis, usefulness and main (methodological) problems related to the use of complex data in economics by hosting some carefully selected contributions presented at the Conference with a special focus on:

    Official and non-official statistics for the analysis of complex data (management, harmonization, use and utility)
    Web sources and analysis of complex data: X-twitter, facebook, Googletrends and others
    Methological issues using complex data in economics
    Complex data and the analysis of the labour market, tourism, public administration and population
    Spatial and time series analysis through complex data
    Statistics, big data and data science in the business and industry analysis

Guest editors:

Assoc. Prof. Francesca Adele Giambona (Executive Guest Editor)
University of Florence, Italy
Email: francesca.giambona@unifi.it 

Dr. Antonella Rocca
Università degli Studi di Napoli "Parthenope", Italy
Email: antonella.rocca1@uniparthenope.it 

Assoc. Prof. Elena Fabrizi
University of Teramo, Italy
efabrizi@unite.it 

Assist. Prof. Caterina Marini
University of Bari, Italy
Email: caterina.marini@uniba.it 

Dr. Andrea Marletta
University of Milano Bicocca, Italy
Email: andrea.marletta@unimib.it 

Manuscript submission information:

Tentative Schedule:

    Submission open date: 15th March 2024
    ​Submission Deadline: 15th September 2024
    Editorial Acceptance Deadline: 31st December 2024

Manuscripts must be submitted via Big Data Research online submission system (Editorial Manager®): https://www.editorialmanager.com/bdr/default2.aspx. Please select the article type “VSI: Complex Economic Data” when submitting your manuscript online.

Please refer to the Guide for Authors to prepare your manuscript: https://www.elsevier.com/journals/big-data-research/2214-5796/guide-for-authors.

For any further information, the authors may contact the Executive Guest Editors.

Special Issue on Current and Future Trends in Big Data-based Smart Mobility
Submission Date: 2025-02-28

Big data and related technologies, such as Artificial Intelligence (AI), the Internet of Things (IoT), and more, are important drivers of so-called smart mobility. This concept refers to “local and supra-local accessibility, availability of ICTs, modern, sustainable and safe transport systems” (Vanolo, 2014). Smart mobility is about, for instance, electric mobility, intelligent traffic management, payments, driving, shared vehicles, sustainability, and intelligent transportation (Faria et al., 2017). Moreover, mobility is a crucial element of competitiveness and innovation for urban contexts and also many manufacturing and service industries, such as healthcare, sea-land logistics, catering and more.

Big data are an essential source of competitive advantage for all the public and private stakeholders interested in (and operating in) the mobility sector. For instance, big data are essential for the development, design and well-working of digital products, architectures and processes to enhance monitoring and predictive maintenance, reducing operating costs and negative externalities, and increasing the safety level of the whole mobility system. In order words, big data and its proper management are the core elements for making the mobility system greener and, in general, promoting an innovative "sustainability-led mobility" framework across industries and societies. To this end, big data research urgently should provide new evidence and frameworks for supporting, via new digital technologies, citizens, firms and institutions all around the world in the design/management/exploitation of smart mobility solutions.

This special issue of “Big Data Research” aims to shed light, from a variety of disciplinary fields, on the present and future of smart mobility and the role of big data and digital transformation to increase the performance, effectiveness, management and sustainability in the mobility sector and create value for its stakeholders.

Guest editors:

Prof. Francesco Schiavone (Executive Guest Editor)
Department of Management and Quantitative Studies (DISAQ), University of Naples Parthenope, Naples, Italy
Email: francesco.schiavone@uniparthenope.it 
Areas of Expertise: Digital Transformation, Technology Management, Big data, Healthcare Innovation

Prof. Félix Jesús Villanueva Molina
School of Informatics, University of Castilla-La Mancha, Ciudad Real, Spain
Email: felix.villanueva@uclm.es 
Areas of Expertise: Smart city, Local digital twins, Smart mobility, Urban analytics

Prof. Irina Arhipova
Faculty of Information Technologies, Latvia University of Life Sciences and Technologies, Szeged, Latvia
Email: irina.arhipova@lbtu.lv 
Areas of Expertise: smart mobility, technological forecasting, geoinformatics, big data management

Special issue information:

Manuscripts from different domains (management of innovation, technology studies, urban geography, statistics and many more) are invited that consider, but are not limited to, the following themes:

    The impact of big data and digital transformation on mobility industries.
    Smart mobility management systems integrated with Internet of Things (IoT) techniques.
    The role and value of open data for mobility management.
    Private and public partnerships and strategic alliances for big data-based smart mobility.
    The management of big data for enacting efficient urban and extra-urban smart mobility.
    Applications of big data systems and architectures for smart mobility.
    Big data analytics and capabilities for smart mobility.
    Digital platforms, big data and new urban and extra-urban mobility solutions.
    Recent and forecasted technological advancements in smart mobility.
    Big data-based business models for smart mobility.
    Smart mobility, sustainability and the redesign of cities via big data.
    Managing logistics, supply chains and transportation in the era of big data.

The call for papers may be linked to specific ongoing national research projects and/or academic conferences to be held in Europe in Spring/Summer 2024.

Manuscript submission information:

Tentative Schedule:

Submission open date: 1st September 2024
Submission Deadline: 28th February 2025
Editorial Acceptance Deadline: 31st July 2025

Manuscripts must be submitted via Big Data Research online submission system (Editorial Manager®): https://www.editorialmanager.com/bdr/default2.aspx. Please select the article type “VSI: Smart Mobility” when submitting your manuscript online.

Please refer to the Guide for Authors to prepare your manuscript: https://www.elsevier.com/journals/big-data-research/2214-5796/guide-for-authors.

For any further information, the authors may contact the Executive Guest Editor (Prof. F. Schiavone).

Keywords:

    Smart mobility technologies
    Big data
    Digital transformation
    Smart business models and mobility
    Logistics and transportation