-------- Forwarded Message -------- Subject: [AISWorld] CFP - Data-Driven Government: Creating Value from Big and Open Linked Data at HICSS'19 Date: Mon, 12 Mar 2018 12:14:12 +0000 From: Judie Attard judie.attard@adaptcentre.ie To: aisworld@lists.aisnet.org

Apologies for cross-posting ****************************************************** CALL FOR PAPERS: 52nd HICSS 2019, Maui, Hawaii

DATA-DRIVEN GOVERNMENT: CREATING VALUE FROM BIG AND OPEN LINKED DATA MINITRACK In the Digital Government Track Web: http://hicss.hawaii.edu/tracks-52/digital-government/ http://hicss.hawaii.edu/tracks-52/digital-government/ Author instructions and submission details: http://hicss.hawaii.edu/tracks-and-minitracks/authors/ http://hicss.hawaii.edu/tracks-and-minitracks/authors/

Submission Deadline: June 15, 2018 | 11:59 pm HST Notification of Acceptance/Rejection: August 17, 2018

****************************************************** The opening of more and more data and the ability to collect more and more data using low-cost devices enabled by Internet of Things (IoT) result in a data-driven government. Nevertheless, data is useless unless it is used to create value from it. For this, data needs to be shared, processed and analyzed with traditional and advanced methods towards operational and strategic decision-making. Data-driven government refers to sensing and the subsequent collecting of all kinds of data using machine-readable data formats. This data can be used for internal purposes, but also for opening the data to the public to create transparency, and accountability or to enable participation and even business innovation. Open data can be combined with all kind of data sources to infer and generate value. This can result in recommendations for improving the public sector, business model innovation and the creation of transparency. These developments are resulting in drastic changes of the public sector. The rise of all kinds of data has resulted in the demand for new approaches for organizing, storing, processing, analyzing, curating, linking and visualizing results of data. These approaches all form part of data value chains, which enable data users to extract value from the data. Although there is a huge potential, how the exploiting of data should be accomplished and what is the impact of public organizations is not understood. All these developments impact the operation of governments and their relationship with the public. There are changes at the technical, organizational, managerial and political level that impact the capabilities needed, the making of policies and traditional institutional structures. This minitrack is aimed at discussing theories, methodologies, experience reports, literature and case studies in the field of Big & Open Linked Data (BOLD), Information Processing, Data Analytics, and Data Value in Government. We solicit for papers covering both organizational and technical aspects and combining theory and practice. Papers taking interdisciplinary approaches and covering a multitude of aspects are strongly encouraged. Furthermore, we promote a diversity of research methods to study the challenges of this multifaceted discipline including best practices, case studies, design approaches, literature reviews and interviews. Minitrack topics include, but are not limited to: Open Data Practices, Technologies and Applications in Government Impact of data-driven government and society on the technical, organizational and institutional level Big & Open Linked Data (BOLD) Metadata and semantic approaches Data value, data value chains, and data governance Data analytics, processing, intelligence and visualization Data-driven strategies and policies Data quality, privacy, trust and security Internet of Things (IoT) for data-driven government Changing relationship between government, private organizations and society Methods and technologies leading to enhanced digital public services Data-driven public sector innovations and applications Architectural standards, principles and frameworks Technical, semantic, organizational, managerial and legal/policy aspects of interoperability System development, implementation and agile approaches for digital public services System, user, data and process-based integration Co-creation using data and citizen engagement Information and cloud infrastructures, shared services, cloud providers Reuse and data quality and ownership Semantic ontologies, web services and modeling for governmental infrastructures Cloud computing, Software as service (SaaS), ICT-services, scalability, reliability, flexibility Data platforms, interoperability, information sharing and public business models Cross-organizational modeling and visualization ranging from the organizational to technical level Service-oriented architectures, web services, semantic web services, orchestration and composition Citizen-driven and entrepreneurial approaches based on open data Adoption, failure and success factors and organization of a data-driven government

****************************************************** Minitrack Co-Chairs: Marijn Janssen (Primary contact) Delft University of Technology m.f.w.h.a.janssen@tudelft.nl mailto:m.f.w.h.a.janssen@tudelft.nl Judie Attard Trinity College, Dublin judie.attard@adaptcentre.ie mailto:judie.attard@adaptcentre.ie Charalampos Alexopoulos University of the Aegean alexop@aegean.gr mailto:alexop@aegean.gr _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org