eprintid: 10060602
rev_number: 22
eprint_status: archive
userid: 608
dir: disk0/10/06/06/02
datestamp: 2018-11-06 10:27:57
lastmod: 2021-09-17 22:16:20
status_changed: 2018-11-06 10:27:57
type: article
metadata_visibility: show
creators_name: Engin, Z
creators_name: Treleaven, P
title: Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies
ispublished: inpress
divisions: UCL
divisions: B04
divisions: C05
divisions: F48
keywords: data science, government, artificial intelligence, blockchain, Internet of Things, big data
note: © The British Computer Society 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0/).
abstract: The data science technologies of artificial intelligence (AI), Internet of Things (IoT), big data and behavioral/predictive analytics, and blockchain are poised to revolutionize government and create a new generation of GovTech start-ups. The impact from the ‘smartification’ of public services and the national infrastructure will be much more significant in comparison to any other sector given government’s function and importance to every institution and individual. Potential GovTech systems include Chatbots and intelligent assistants for public engagement, Robo-advisors to support civil servants, real-time management of the national infrastructure using IoT and blockchain, automated compliance/regulation, public records securely stored in blockchain distributed ledgers, online judicial and dispute resolution systems, and laws/statutes encoded as blockchain smart contracts. Government is potentially the major ‘client’ and also ‘public champion’ for these new data technologies. This review paper uses our simple taxonomy of government services to provide an overview of data science automation being deployed by governments world-wide. The goal of this review paper is to encourage the Computer Science community to engage with government to develop these new systems to transform public services and support the work of civil servants.
date: 2018-08-11
date_type: published
publisher: Oxford University Press (OUP)
official_url: https://doi.org/10.1093/comjnl/bxy082
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
article_type_text: Journal Article
verified: verified_manual
elements_id: 1599372
doi: 10.1093/comjnl/bxy082
language_elements: English
lyricists_name: Engin, Zeynep
lyricists_name: Treleaven, Philip
lyricists_id: ZENGI75
lyricists_id: PTREL26
actors_name: Engin, Zeynep
actors_name: Allington-Smith, Dominic
actors_id: ZENGI75
actors_id: DAALL44
actors_role: owner
actors_role: impersonator
full_text_status: public
publication: The Computer Journal
issn: 0010-4620
citation:        Engin, Z;    Treleaven, P;      (2018)    Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies.                   The Computer Journal        10.1093/comjnl/bxy082 <https://doi.org/10.1093/comjnl%2Fbxy082>.    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10060602/1/Engin_Algorithmic%20Government.%20Automating%20Public%20Services%20and%20Supporting%20Civil%20Servants%20in%20using%20Data%20Science%20Technologies_VoR.pdf