Ethical Issues with Using Internet of Things Devices in Citizen Science Research: A Scoping Review.

Scheibner, James; Jobin, Anna; Vayena, Effy

doi:10.2139/ssrn.3651447

Cited by 3 publications

(3 citation statements)

References 34 publications

(65 reference statements)

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“…and Scheibner et al.). 22 , 23 However, as a data-driven field in which power asymmetries are inherent, there is a need to explore the wider structural issue within citizen science by investigating the broad sociotechnical assemblages embedded in the data and technology infrastructures that shape and are shaped by citizen science. In this regard, examining the attainment of the different elements of social justice, including participation, equality, equity, representation, and accountability, within the domain of citizen science is imperative.…”

Section: Introductionmentioning

confidence: 99%

Citizen science as a data-based practice: A consideration of data justice

Christine¹,

Thinyane²

2021

Patterns

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Summary Citizen science has been motivated by several perspectives, including increased efficiency in data collection and distributed analysis, democratizing knowledge production, making science more responsive to community needs, and improving the representation of marginalized populations in public data. Despite the potential of citizen science to achieve social justice agendas through a data-intensive and data-driven participatory scientific enquiry, scholarship in critical data studies offers several problematizations of data-based practices, highlighting risks of exclusion and inequality. To understand the extent to which citizen science supports and challenges forms of injustice, this study used a “data justice” analytical framework to critically explore the assemblages of citizen science. We examined four citizen science cases with different levels of citizen engagement, intended outcomes, and data systems. The analysis suggests instances of injustice occurring throughout the data processes of the citizen science cases across the dimensions of procedural, instrumental, rights-based, structural, and distributive data justice.

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Section: Introductionmentioning

confidence: 99%

Citizen science as a data-based practice: A consideration of data justice

Christine¹,

Thinyane²

2021

Patterns

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“…Edge computing is a cost effective and userfriendly solution that can allow individuals experiencing the digital divide to interact with complex datasets [29]. Although citizen science and IoT has its benefits, it is important to consider "data protocol procedures" regarding privacy and analyze "user inputs to ensure data quality" [30]. In short, fully harnessing the potential of citizen scientists is a vital step towards the successful implementation of broader edge computing and IoT solutions.…”

Section: Internet Of Things For Citizen Sciencementioning

confidence: 99%

MOSQUITO EDGE: An Edge-Intelligent Real-Time Mosquito Threat Prediction Using an IoT-Enabled Hardware System

Polineni¹,

Shastri²,

Bagchi³

et al. 2022

Sensors

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Species distribution models (SDMs) that use climate variables to make binary predictions are effective tools for niche prediction in current and future climate scenarios. In this study, a Hutchinson hypervolume is defined with temperature, humidity, air pressure, precipitation, and cloud cover climate vectors collected from the National Oceanic and Atmospheric Administration (NOAA) that were matched to mosquito presence and absence points extracted from NASA’s citizen science platform called GLOBE Observer and the National Ecological Observatory Network. An 86% accurate Random Forest model that operates on binary classification was created to predict mosquito threat. Given a location and date input, the model produces a threat level based on the number of decision trees that vote for a presence label. The feature importance chart and regression show a positive, linear correlation between humidity and mosquito threat and between temperature and mosquito threat below a threshold of 28 °C. In accordance with the statistical analysis and ecological wisdom, high threat clusters in warm, humid regions and low threat clusters in cold, dry regions were found. With the model running on the cloud and within ArcGIS Dashboard, accurate and granular real-time threat level predictions can be made at any latitude and longitude. A device leveraging Global Positioning System (GPS) smartphone technology and the Internet of Things (IoT) to collect and analyze data on the edge was developed. The data from the edge device along with its respective date and location collected are automatically inputted into the aforementioned Random Forest model to provide users with a real-time threat level prediction. This inexpensive hardware can be used in developing countries that are threatened by vector-borne diseases or in remote areas without cloud connectivity. Such devices can be linked with citizen science mosquito data platforms to build training datasets for machine learning based SDMs.

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“…"Ownership of personal data underpins the issues revolving around data management and control, such as privacy, trust, and security, and it has also important implications for the future of the 'digital' economy and trade in data" [21]. Possession of a robust patent in the world of the IoT may be lucrative [22] but the IoT raises an issue of patent trolls thus necessitating the need for assertion of such patents as standard essential patents. The IoT also raises an issue of difficulty in ascertainment of the data gathered by the IoT assimilated devices.…”

Section: Intellectual Property Rights and Obligationsmentioning

confidence: 99%

Regulating Internet of Things: The Case of the United Arab Emirates

Ghandour¹,

Woodford²

2021

TEM Journal

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The Internet of Things is an important component of the smart technology era. It is the way the world is now moving at an accelerated pace. It has enormous benefits to individuals, groups, companies, and enterprises. Like any other technology, however, it brings ethical challenges requiring governments to develop a legal framework to address those concerns over this technology. This study investigates these challenges in the context of the United Arab Emirates as the government has imposed policies to safeguard the ethical use of the Internet of Things. The study concludes that IoT is a sought-after innovation in the UAE but suffers from deployment without compliance to current regulations and ethics which is becoming mandatory.

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Ethical Issues with Using Internet of Things Devices in Citizen Science Research: A Scoping Review.

Cited by 3 publications

References 34 publications

Citizen science as a data-based practice: A consideration of data justice

Citizen science as a data-based practice: A consideration of data justice

MOSQUITO EDGE: An Edge-Intelligent Real-Time Mosquito Threat Prediction Using an IoT-Enabled Hardware System

Regulating Internet of Things: The Case of the United Arab Emirates

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