Results 111 to 120 of about 13,914 (280)

Informing synthetic passive microwave predictions through Bayesian deep learning with uncertainty decomposition

Environmental Data Science
Space-borne passive microwave (PMW) data provide rich information on atmospheric state, including cloud structure and underlying surface properties. However, PMW data are sparse and limited due to low Earth orbit collection, resulting in coarse Earth ...
Pedro Ortiz, Eleanor Casas, Marko Orescanin, Scott W. Powell, Veljko Petkovic   +4 more
doaj   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Pupils’interactions and decision-making in an educational game

Education Inquiry
By way of video observations, the current article examines the social interaction of pupils playing an educational card game about fractions, focusing on their epistemic and deontic negotiations during decision-making in dyads.
Senja Celius, Fredrik Rusk, Wenche Rønning   +2 more
doaj   +1 more source

Delineating gender/sex‐related studies through bibliometric analysis

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The multidisciplinary and socially grounded nature of Women's/Gender/Feminist Studies poses unique challenges for bibliometric analysis, as it extends beyond conventional disciplinary boundaries. This paper makes three key contributions: (1) We propose a novel retrieval method for constructing a corpus of scholarly documents in research areas ...
Natsumi S. Shokida, Diego Kozlowski, Vincent Larivière   +2 more
wiley   +1 more source

Possible future selves in STEM: an epistemic network analysis of identity exploration in minoritized students and alumni [PDF]

, 2023
Yiyun Fan, Amanda Barany, Aroutis Foster
openalex   +1 more source

Sleep‐trackers in the wild: A faceted taxonomy for information and interaction design

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Consumer‐grade sleep‐tracking technologies (CSTs) have brought sleep into everyday data practices, reframing it from a clinical concern into a site of personal optimization and reflection. Yet existing taxonomies of sleep‐tracking often medicalize users and overlook the complexity of sleep‐tracking technologies. This paper presents SleepTax, a
Sanonda Datta Gupta, Jaime Snyder, John S. Seberger   +2 more
wiley   +1 more source

Cross‐disciplinary integration: Information practices and a role for information scholars. An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley   +1 more source

When AI outputs become documents: Documentation activity in human–AI dialogue

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Large language models (LLMs) generate texts that increasingly circulate as documents in knowledge infrastructures, yet their documentary status remains theoretically underdetermined. Unlike traditional documents, LLM outputs lack identifiable authorship, stable provenance, or testimonial grounding.
Sascha Donner
wiley   +1 more source

We ought to discuss the social construction of cadavers: Here's why and how

Anatomical Sciences Education, EarlyView.
Fatima Ehsan, Susan Lamb
wiley   +1 more source

Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley   +1 more source