[AISWorld] Dg.o2018 Track: Open and Big Data Analytics in Government: Pathways from Insights to Public Value

[Akemi Chatfield]

CFP Dg.o2018: Open and Big Data Analytics in Government: Pathways from Insights to Public Value



dg.o 2018: 19th Annual International Conference on Digital Government Research

Theme: Governance in the data age

Delft University of Technology, Delft, the Netherlands

30 May- 1 June, 2018 (Wednesday – Friday)

http://dgo2018.dgsociety.org/
Email: dgo2018 at easychair.org<mailto:dgo2018 at easychair.org>
Twitter handle: #dgo2018


CONFERENCE BACKGROUND
The Digital Government Society (DGS) announces the 19th Annual International Conference on Digital Government Research - dg.o 2018, with a theme "Governance in the data age". dg.o 2018 will be hosted by Delft University of Technology, Delft, the Netherlands from 30 May till 1 June, 2018. The dg.o conferences are an established forum for presentation, discussion, and demonstration of interdisciplinary research on digital government, political participation, civic engagement, technology innovation, applications, and practice. Each year the conference brings together scholars recognized for the interdisciplinary and innovative nature of their work, their contributions to theory (rigor) and practice (relevance), their focus on important and timely topics and the quality of their writing. The conference program combines:

The 19th Annual International Conference on Digital Government Research will feature the main theme of "Governance in the data age". Today we live in a data driven economy in which many new applications are driven by the availability of an immense amount of a variety of data. This data revolution is transforming government as we know it. Data has become widely available and many innovations are based on the utilization of data having a tremendous impact. The Internet of Things (IoT) enables the availability of large volumes of data, whereas people create data using social media. Data analytics enables the processing of data. Governments, business and academia work together to make sense of the data influencing the organization and governance. Data can be used to increase our security, whereas at the same time the amount of data threatens our privacy.  Big and Open Linked Data (BOLD) is multifaceted and transformative in nature and is changing policy-making, government operations and the relationship with the public. The government and society as we know it today is drastically changing. Authors are encouraged to address this theme within the conference tracks, but are not limited to this.


TRACK:  Open and Big Data Analytics in Government: Pathways from Insights to Public Value

Track Chairs:

Akemi Takeoka Chatfield, Centre for Big Data Analytics and Intelligent Systems, School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Australia (akemi at uow.edu.au)

Adegboyega Ojo, Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland (adegboyega.ojo at insight-centre.org)

Gabriel Puron-Cid, Centro de Investigación y Docencia Económicas, A.C. (CIDE), Aguascalientes, Mexico (gabriel.puron at cide.edu)

Christopher G. Reddick, Department of Public Administration, College of Public Policy, The University of Texas at San Antonio, U.S.A. (Chris.Reddick at utsa.edu)


Open and big data analytics in government aims at discovering patterns, insights and trends that could impact government’s operations, public service delivery and relationships with citizens. The government data and analytics landscape is rapidly changing in part due to growing adoption of open data, social media, Internet of things (IoT), and cloud computing in government.


To date, data analytics in government have been deployed to fight fraud and abuse in tax and welfare benefits services, develop safer and more efficient public transportation, fight crimes and reduce operational costs as well as to predict disaster impacts in the local government areas and epidemic spreading across national borders. Despite the growing anecdotal evidences and practices in this domain, there is still the paucity of digital government research that links the use of open and big data, and analytics in government to public value creation.


This track invites research papers, case studies, and policy papers that examine pathways from insights to public value creation through the application of open and big data analytics to public policy and government decision-making. We also invite papers that discuss technical, managerial, governance, social and policy challenges and barriers in realizing public value from government data analytics programs.



Keywords: Open and big data analytics, public policy, public administration, public value, enablers, inhibitors



IMPORTANT DATES
January 15, 2018: Papers are due

January 20, 2018: Workshops, tutorials, and panel proposals due
March 1, 2018: Application deadline for 2018 doctoral colloquium
March 1, 2018: Notifications of acceptance

March 15, 2018: Posters and demo proposals due
April 1, 2018: Poster/demo author notifications
April 5, 2018: Camera-ready manuscripts due
May 5, 2018: Early registration closes!

SUBMISSION TYPES AND FORMATS

. Research papers (maximum of 10 pages)

. Management, Case Study, or Policy papers (maximum of 6 pages)

. Panel descriptions (maximum of 4 pages)

. Posters (maximum of 2 pages)

. System demonstrations (maximum of 2 pages)

. Pre-Conference tutorial proposals (maximum of 2 pages)

. Pre-Conference workshop proposals (maximum of 2 pages)

. Doctoral colloquium application (maximum of 10 pages)

Submission Site: https://easychair.org/conferences/?conf=dgo2018

Submissions must not exceed the maximum number of pages specified for each type of submission in camera-ready ACM Proceedings format (double column, single spaced pages). Please do not use page numbers. Paper titles should be on the first page of text, rather than on a separate cover page.

Research, Management, Case Study, and Policy papers will be reviewed through a double-blind review process. Therefore, author names and contact information must be omitted from all submissions. Authors must identify the topic(s) being addressed in the paper to assist the program committee in the review process.

All other submissions should follow the same ACM proceedings camera-ready format, but include author names.

All accepted submissions require at least one author to be registered for the conference before the camera-ready copy is due for it to be included in the conference proceedings.

At least one author is expected to attend the conference to present the work.

End of CFP


Warm regards,

Akemi

Akemi Takeoka Chatfield, MBA, Ph.D.
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Director, Electronic Government & E-Governance Research Center/Disaster Informatics
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Centre for Big Data Analytics and Intelligent Systems
Senior Lecturer in IT
School of Computing and Information Technology
Faculty of Engineering and Information Sciences
University of Wollongong
Wollongong NSW 2522
Australia
Office: 61 2 4221 3884
Email: akemi at uow.edu.au<mailto:akemi at uow.edu.au>
Skype: akemi.chatfield