[AISWorld] CFP dg.o 2019 Track 1: Data Analytics for Public Policy and Services

[Akemi Chatfield]

dg.o 2019:
20th Annual International Conference on Digital Government Research

Theme: Governance in the Age of Artificial Intelligence
Mohammed Bin Rashid School of Government
Dubai, UAE, June 18-20, 2019

Conference Website and submission information: https://easychair.org/cfp/dgo2019

Track Description
TRACK 1:  Data Analytics for Public Policy and Services
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<mailto:akemi at uow.edu.au>)
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<mailto:Chris.Reddick at utsa.edu>)
Gabriel Puron-Cid, Centro de Investigación y Docencia Económicas, A.C. (CIDE), Aguascalientes, Mexico (gabriel.puron at cide.edu<mailto:gabriel.puron at cide.edu>)

Based on the successful inaugural Track 13 launch at the 2018 dg.o in Delft, Netherlands, the 2019 dg.o Track: Data Analytics for Public Policy and Services aims to examine the emerging phenomenon of data analytics use in government for enhancing public policy and services.
Open and big data analytics in government aims at discovering patterns, insights and trends that could provide the government with actionable intelligence necessary to make multifaceted changes to the existing public administration and public services. Effective and innovative use of open and big data analytics can positively impact government's operations, public service delivery, and relationships with citizens. The government data and analytics landscape is rapidly changing in part due to the growing adoption of open data, social media, Internet of Things (IoT), artificial intelligence, blockchain, 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 generating actionable intelligence in public policy and services that may enhance 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.

Important Dates

  *   January 15, 2019: Conference Papers due
  *   January 20, 2019: Workshops, tutorials, and panel proposals due
  *   March 1, 2019: Doctoral Colloquium due
  *   March 1, 2019: Conference Papers notifications of acceptance
  *   March 15, 2019: Posters/Demo proposals due
  *   April 1, 2019: Doctoral Colloquium notifications of acceptance
  *   April 5, 2019: Poster/Demo notifications of acceptance
  *   April 10, 2019: Camera-ready manuscripts due May 10, 2019: Early registration closes

We look forward to receiving your submissions. We wish you a happy and productive New Year 2019!

Akemi, Chris & Gabriel