“Data stickiness” in interagency government data sharing: a case study

Zhou, Lihong; Chen, Longqi; Han, Yingying

doi:10.1108/jd-04-2021-0087

Cited by 3 publications

(2 citation statements)

References 41 publications

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“…While these examples concern cross-border information exchange, Zhou et al (2021) also identified considerable challenges in data exchange between agencies at different levels of government within China, with inter-relationships between agencies proving to be paramount. This is an important consideration for internal border control systems in a federated country such as Australia where information exchange between federal immigration authorities and criminal justice agencies operated by states and territories is crucial.…”

Section: Developments In Automated Governancementioning

confidence: 99%

“…Data sharing between government agencies often forms the 'bedrock' for digital government (Zhou et al, 2021(Zhou et al, , p. 1286. While the language used around technological developments often conveys an impression of unimpeded integration across electronic systems, the reality is often otherwise, and the smooth flow of data between agencies is far from straightforward or guaranteed.…”

Section: Developments In Automated Governancementioning

confidence: 99%

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Robodeport or surveillance fantasy?: how automated is automatic visa cancellation in Australia?

Weber,

Gerard

2024

Front. Sociol.

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Australia has been widely condemned for its harsh and comprehensive external border controls that seek to control the inward mobility of would-be asylum seekers through visa denial, interdiction and offshore detention. Less widely discussed is the fact that internal controls have been repeatedly ramped up over the past two decades. This includes the administrative removal of lawfully-present non-citizens following visa cancellation on character grounds under s501 of the Migration Act 1958 (Cth). Automatic visa cancellation was introduced in 2014 for non-citizens sentenced to a prison term of 12 months or more, or for certain offences, bypassing individualised decision-making and raising the spectre of a visa cancellation pipeline feeding a highly automated deportation machinery. In an age of increasingly automated forms of governance, a key question that arises is the role that has been played by automated systems in achieving what has been a seismic shift in practice, and the normative implications of any developments towards automation within the visa cancellation and removal systems. This paper outlines the shift towards automation in other systems of governance in Australia—most notably the notorious Robodebt scheme—before examining automation in Australia’s visa cancellation system. Documentary analysis of recent parliamentary inquiries, independent reports and government policy is used to piece together the development of inter-agency data exchange practices and automation over three specific periods—historical practice pre-2014, post-2014 to the present, and proposed future developments. We conclude that Australia’s s501 visa cancellation system is neither automated nor automatic. Rather, the 2014 law reform gave rise to a ‘surveillance fantasy’ with immense consequences for non-citizens, particularly those who face long days in immigration detention at the conclusion of their prison sentence. We show that while concerns about increasing automation are well-founded, systems based on less sophisticated forms of information handling and reliant on human decision-making nevertheless continue to raise age-old questions concerning efficiency, accuracy and fairness.

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Section: Developments In Automated Governancementioning

confidence: 99%

Section: Developments In Automated Governancementioning

confidence: 99%

Robodeport or surveillance fantasy?: how automated is automatic visa cancellation in Australia?

Weber,

Gerard

2024

Front. Sociol.

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Paradoxes in Digital Government: A Systematic Literature Review

Wang,

Ran,

2024

Proceedings of the 25th Annual International Conference on Digital Government Research

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How to Enhance Data Sharing in Digital Government Construction: A Tripartite Stochastic Evolutionary Game Approach

Dong

Liu

2023

Systems

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Digital government construction is a complex system project, and data sharing is its governance niche. Cross-sectoral data sharing is the core issue of improving governance capacity in the construction of digital governments. Aimed at the dilemma of insufficient data sharing across departments, according to evolutionary game theory (EGT), we refined the game relationship between the data management department and the different government functional departments participating in cross-department data sharing. We used white Gaussian noise as a random perturbation, constructed a tripartite stochastic evolutionary game model, analyzed the stability of the stochastic game system and studied the influence of the main parameters on the evolution of the game system with the help of numerical simulation. The results show that there exists a positive stable point in the process of cross-department data sharing. The external effect of data sharing can be improved by enhancing the investment in data sharing by government functional departments. The accumulation of interagency trust relationships can gradually eliminate the differences in data sharing among different departments. The coordination mechanism of government data sharing and the construction of the “good and bad reviews” system can form an internal and external adjustment mechanism for functional departments and the data management department and can promote multiple departments to participate in cross-department data sharing more actively.

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“Data stickiness” in interagency government data sharing: a case study

Cited by 3 publications

References 41 publications

Robodeport or surveillance fantasy?: how automated is automatic visa cancellation in Australia?

Robodeport or surveillance fantasy?: how automated is automatic visa cancellation in Australia?

Paradoxes in Digital Government: A Systematic Literature Review

How to Enhance Data Sharing in Digital Government Construction: A Tripartite Stochastic Evolutionary Game Approach

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