Justice in priority-setting for research on health and climate change. [PDF]
Bhaumik S.
europepmc +1 more source
Justice- and fairness-related behaviors in nonhuman primates. [PDF]
Brosnan SF.
europepmc +1 more source
Abstract Serious games are emerging as innovative tools in medical education, yet their adoption in anatomy teaching remains limited due to educator hesitancy, institutional constraints, and design challenges. This qualitative study explores the perspectives of anatomy educators on digital serious games and proposes a framework for their implementation.
Arthur Chin Haeng Lau, James Pickering
wiley +1 more source
Is It a Just World After All? Age Differences in the Belief in a Just World Across 57 Societies and the Influences of Cultural Values. [PDF]
Li T, Guo N, Luo W.
europepmc +1 more source
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million +3 more
wiley +1 more source
Rejected by an AI? Comparing job applicants' fairness perceptions of artificial intelligence and humans in personnel selection. [PDF]
Malin C +3 more
europepmc +1 more source
Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto +2 more
wiley +1 more source
Equity in Action: Disrupting Systemic Barriers to Specialty Skill Utilisation Among Internationally Qualified Nurses in Australia. [PDF]
Kurup C +3 more
europepmc +1 more source
Psychology of Justice and Fairness
Ken-ichi Ohbuchi, Masahiro Tsujimoto
openaire +2 more sources
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source

