Confronting Data Inequality

Fisher, Angelina; Streinz, Thomas

doi:10.2139/ssrn.3825724

Cited by 11 publications

(4 citation statements)

References 8 publications

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“…These novel mechanisms for collective governance are also aligned with work advocating for models of public governance over data, from democratic control (Herzog 2021, Viljoen 2021 to public trusts (Huq 2021). This debate is also concerned with who is entitled to access data, raising issues of digital equality (Fisher & Streinz 2022, Prainsack 2019, epistemic inequality (Zuboff 2020), and data justice (Taylor 2017). Some of this work also points to the need for new types of data intermediaries that can help to provide trusted data sharing methodologies (Austin & Lie 2019).…”

Section: Data Governancementioning

confidence: 99%

COVID-19 and the Data Governance Gap

Austin

2023

Annu. Rev. Law. Soc. Sci.

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The COVID-19 pandemic has highlighted many complexities involved in using data and advanced technologies to help resolve public health emergencies. These complexities highlight the need to embrace a broader framework of data governance with three foundational questions: ( a) who decides about data flows, ( b) on what basis, and ( c) with what accountability and oversight. These questions can accommodate the issues that have arisen in the literature regarding new types of data harms. However, these questions also foreground important issues of power, authority, and legitimacy. Data governance can provide an organizing normative framework to address emerging data themes including access to data, collective decision making, data intermediaries, data sovereignty, design and digital infrastructure, regulatory technologies, the rule of law, and social trust and license. The pandemic experience with contact tracing apps, in particular, showed the many unresolved governance challenges. Expected final online publication date for the Annual Review of Law and Social Science, Volume 19 is October 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Section: Data Governancementioning

confidence: 99%

COVID-19 and the Data Governance Gap

Austin

2023

Annu. Rev. Law. Soc. Sci.

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“…Many governments [1][2][3][4][5][6] are currently promoting an increase in the amount of renewable energy (RE) in their national resource variability and single-phase nature of specific Distributed Energy Resources (DERs), as well as the last mile networks to which the DERs are linked, were never meant to bear such loads. They may have several detrimental consequences in the previous mile networks.…”

Section: Introductionmentioning

confidence: 99%

A Brief Review on Ancillary Services from Advanced Metering Infrastructure (ASAMI) for Distributed Renewable Energy Network

Chen Chai Phing,

Tiong Sieh Kiong,

Siaw Paw Koh

et al. 2024

ARASET

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Advanced metering infrastructure (AMI) is an integrated system of smart meters, communications networks, and data management systems that enable the secure, effective, and dependable distribution of power while also delivering enhanced capabilities to energy consumers. The system also can measure power usage, connect, and disconnect service, detect tampering, identify and isolate outages, and monitor voltage automatically and remotely, which were previously unavailable or required user intervention. This article focuses on AMI and effectively integrating renewable energy sources (RES). However, the study also recommends smart metering for renewables such as solar photovoltaic (PV), hydropower, anaerobic digestion (ad) metering, and renewable energy storage, in which AIM thoroughly supervises the energy utilized by users' appliances. With the prediction of new ancillary services connected with contestability, related regulation, the sufficiency of consumer protection, and safety issues, the magnitude of renewable energy sources in the AMI is an almost unprecedented problem for consumers. The present energy management problems include reducing the power supply-demand gap and boosting power supply dependability. Implementing AMI with distributed renewable energy resources might be a viable strategy for lowering power consumption, improving power supply management, and maximizing management resource use.

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“…This broader perspective on data shows that social inequality is frequently associated with data inequality (Cinnamon, 2020;A. Fisher and Streinz, 2021).…”

Section: Introductionmentioning

confidence: 99%