Big Data Analytics in Australian Local Government

Abstract

<jats:p>Australian governments at all three levels—local (council), state, and federal—are beginning to exploit the massive amounts of data they collect through sensors and recording systems. Their aim is to enable Australian communities to benefit from “smart city” initiatives by providing greater efficiencies in their operations and strategic planning. Increasing numbers of datasets are being made freely available to the public. These so-called big data are amenable to data science analysis techniques including machine learning. While there are many cases of data use at the federal and state level, local councils are not taking full advantage of their data for a variety of reasons. This paper reviews the status of open datasets of Australian local governments and reports progress being made in several student and other projects to develop open data web services using machine learning for smart cities.</jats:p>

Geospatial infrastructure solutions for local government sectors: geo-enabling infectious disease monitoring system in state health departments

“…Geospatial technologies as innovative approaches could help them manage the risk-decision making of extreme events or smart organizations by integrating with social network analysis [23], big data and prescriptive analytics [24,25], IoT-cloud enabled SDI architecture [26] and open-source GIS [27]. The technologies will help geospatial community and SDI developers in various perspectives, including data sharing and management, interoperability, security and reliability, fault tolerance, mass market solution, upfront cost and global collaboration [26].…”

“…Since this proposed system is still in a prototype level, several recommendations have been made for a practical application. Firstly, more spatial analysis and system modules can be developed in the system such as social network analysis [23], big data and prescriptive analytics [24,25], IoT-cloud enabled SDI architecture [26] and open source GIS [27] for significant predictive disease modelling, and lastly including the latest datasets and sharing limited information for the public health awareness.…”

Analitika Data Dalam Pengelolaan Keuangan Negara: Use Case Data Dasar Dana Alokasi Umum

“…Archeena dan Anita [9] menekankan bahwa tantangan analitika data publik di pemerintahan bukan karena kurangnya data, namun kurangnya informasi yang mendukung pengambilan keputusan, perencanaan dan strategi. Limpahan data (data deluge) umumnya diolah untuk kepentingan dukungan kota pintar (smart cities) sebagaimana ditekankan Watson [10]. Analitika data publik untuk pemerintahan terus dikembangkan manfaatnya dengan bentuk data terhubung (linked data) dan inisiatif Open Government Data (OGD) [11], [12].…”

Artificial intelligence in local governments: perceptions of city managers on prospects, constraints and choices

“…While the opportunities and constraints of algorithmic decision-making with AI have been a trending subject of scholarly urban studies literature (Wu and Silva 2010;Newell and Marabelli 2015;Kitchin 2017;Yigitcanlar et al 2021a), there are only a few academic studies focused on the perceptions on automated decision-making concerning cities by AI (Cui and Wu 2019;Kassens-Noor et al 2021). These studies mostly concentrated on public perceptions (Yigitcanlar et al 2020c;Araujo et al 2020;Kankanamge et al 2021;Schiff et al 2021) or the perceptions of the stakeholders from a specific sector, most commonly health (Sun and Medaglia 2019;Lai et al 2020), or data sources and the analytical techniques (including AI) that local governments use (Vogl et al 2020;Watson and Ryan, 2020). To the best of our knowledge, there is no clear understanding or thorough empirical studies on city manager perceptions concerning urban AI systems.…”