[EGOV LIST] [REMINDER] Call for Papers: dg, o 2024 - Computational Methods for Data-driven Governance

[Virkar, Shefali Vidya]

**Apologies for Cross-Posting**

Dear Colleagues

A reminder to submit to our track! FYI: the deadline has been extended to Friday, 02 February 2024.

We look forward to your contributions!
The Track Chairs

From: Virkar, Shefali Vidya
Sent: Tuesday, December 12, 2023 3:34 PM
To: egov-list at u.washington.edu
Subject: Call for Papers: dg,o 2024 - Computational Methods for Data-driven Governance

**Apologies for Cross-Posting**

Dear Colleagues,

We are pleased to invite you to contribute your work to our new dg.o 2024 track, Computational Methods for Data-driven Governance!

Track Description

The exponential growth in the amount of data generated, collected, stored and processed in a digitalized world compels us to take a fresh look at how information is accessed and used by governments, and at the computer systems that facilitate these processes. Data-driven Governance corresponds to a new way of accessing, retrieving and analysing appropriate and/or relevant information towards more effective and efficient policy and decision making. This involves the application of a wide range of computational methods in order to provide meaningful insights, assess the relative significance of alternative solutions against a set of values or preferences and finally support decision and policy making. Due to the complexity of the process, papers adopting computational methods require computational expertise that is often not taught to behavioral scholars.

This track is for scholars whose interests are in developing or adopting computational methods. Having this track can benefit both computational scholars and behavioral scholars. On the one hand, computational scholars can receive meaningful feedback from scholars with computational expertise. On the other hand, behavioral scholars can provide feedback to enhance theoretical contribution of method-oriented papers and get familiarized in computational methods.

Papers selected for this track will advance knowledge, research, and practice in government service provision, developing prototypes of technical platforms, government interaction with the public, and innovative decision-making from methods development. Topics and methodologies covered by this track may include:

* Use of design science research to develop and evaluate artifacts including new metrics and novel methods for the measurement and evaluation or the examination of user aspects such as interaction, contextualization, personalization and behavior.
* Development of technologies for advanced Decision Support enhancing government decision-making through data science approaches and big data analytics
* Artificial Intelligence and machine learning approaches for innovative government service development or administrative function.
* Computational methods (Information retrieval and text mining) for better information quality
* Computational methods for better decision making under conditions of uncertainty.
* Technical, political, social, economic aspects of Decision Support Systems development
* Applications development and evaluation such as chatbots, conversational agents, and digital virtual assistants, recommender systems, web and social media apps, professional and domain-specific search etc.
* Open government data infrastructures for decision making.
* Linked Data Analytics and Management including semantic data interoperability and ontological approaches.

About the Conference

The annual International Conference on Digital Government Research, dg.o 2024, will be held on 11-14 June 2024 in Taipei, Taiwan at the National Taiwan University. The central theme of the conference is "Internet of Beings: Transforming Public Governance". A conference website has been set up at https://dgo2024.github.io/index.html where you can get more information about the event.

The deadline for submissions is 26 January 2024. If you have any questions about this track, please feel free to contact any of the track chairs listed below. We hope to see many of you in Taiwan next year!

Best regards,
The Track Chairs.

Loni Hagen (University of South Florida, USA)
Charalampos Alexopoulos (University of the Aegean, Greece)
David Valle-Cruz (Universidad Autónoma del Estado de México, México)
Shefali Virkar (WU Vienna University of Economics and Business, Austria)
Kellyton Brito (Universidade Federal Rural de Pernambuco, Brazil)


Dr. Shefali Virkar
Assistant Professor

Institut für Public Management und Governance
Institute for Public Management and Governance

WU
Wirtschaftsuniversität Wien
Vienna University of Economics and Business
Gebäude D2, Eingang E, 1. OG
Welthandelsplatz 1, 1020 Wien, Austria

E-Mail: shefali.virkar at wu.ac.at<mailto:shefali.virkar at wu.ac.at>
www.wu.ac.at/pubmgt<http://www.wu.ac.at/pubmgt>