Results 11 to 20 of about 24,427 (109)
Abstract In their efforts to digitize public service delivery, countries increasingly use algorithms based on mathematical models, data and/or a combination of different administrative datasets to issue decisions, but recent studies point towards challenges around citizens' understanding, accessing, and filing objections to such automated decisions ...
Sarah Giest, Annemarie Samuels
wiley +1 more source
Politics of on‐demand food delivery: Policy design and the power of algorithms
Abstract In this article, we examine the politics of on‐demand food delivery using insights from the theory of social construction and policy design. On‐demand food delivery is a service built on algorithm‐based technology known for its precarity and physical risks for couriers.
Meng‐Hsuan Chou, Catherine Gomes
wiley +1 more source
Abstract We identify vulnerable groups through the examination of their employment status in the face of the initial coronavirus disease 2019 (COVID‐19) shock through the application of tree‐based ensemble machine learning algorithms on a sample of individuals over 50 years old. The present study elaborates on the findings through various interpretable
Mehmet Güney Celbiş +3 more
wiley +1 more source
Abstract Over the past decade, China's central and municipal governments have consistently supported the development of social credit systems (SCSs). While research has highlighted the Chinese public's high approval and backing of SCSs, their engagement with these digital projects has not been fully explored. Based on 44 semi‐structured interviews, our
Haili Li, Genia Kostka
wiley +1 more source
Bayesian models for spatially explicit interactions between neighbouring plants
Abstract Interactions between neighbouring plants drive population and community dynamics in terrestrial ecosystems. Understanding these interactions is critical for both fundamental and applied ecology. Spatial approaches to model neighbour interactions are necessary, as interaction strength depends on the distance between neighbouring plants.
Cristina Barber +4 more
wiley +1 more source
Among all stereo matching methods End‐to‐End (E2E) learning methods show that they can achieve the lowest and most frequent minimum errors, however, their performance drastically changes across different test‐sites, which indicates poor generalisation capabilities.
Hessah Albanwan, Rongjun Qin
wiley +1 more source
A general optimal adaptive framework for managing a threatened species
Our general approach to optimise adaptive management for threatened species conservation overcomes multiple existing hurdles to implementation. Our method minimises the information elicited from experts, removes the need to develop custom models for every species and is supported by a Shiny application so users need not interact with specialised ...
Sam Nicol +5 more
wiley +1 more source
Governing with health code: Standardising China's data network systems during COVID‐19
Abstract Noting the infrastructural turn in platform studies, the article conceives China's health code system, Jian Kang Ma (JKM), deployed to manage the COVID‐19 crisis as a new social infrastructure that manifests the symbolic and material power of the Party State.
Yu Sun, Wilfred Yang Wang
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Resumen La obesidad infantil es un problema grave en Latinoamérica y entre la población latina de EE. UU. Para ser eficaces, las políticas de salud pública tienen que estar guiadas por evidencias contextuales pertinentes, lo cual exige una capacidad de investigación sostenida a través del tiempo.
Deborah Salvo +13 more
wiley +1 more source
Abstract Information about the spatial distribution of species lies at the heart of many important questions in ecology. Logistical limitations and collection biases, however, limit the availability of such data at ecologically relevant scales. Remotely sensed information can alleviate some of these concerns, but presents challenges associated with ...
Chengliang Tang +5 more
wiley +1 more source

