Results 61 to 70 of about 2,687 (264)
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Model Penilaian Keadilan Terhadap Penanganan Rekonstruksi Rumah Bagi Korban Gempa Bumi Di Bantul
The purpose of this research was to test the fairness evaluation Judgement models by Tyler (1994) in house reconstructions to the earthquake victims. There are six possibilities of model tested.
Muhammad Wahyu Kuncoro
doaj
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Competing fairness ideals underlie wealth inequality across decision contexts
Wealth inequality is one of the most profound challenges confronting society today. However, an important issue in addressing inequality lies in formalizing the diversity of individual perspectives regarding what constitutes a fair distribution of ...
Inge Huijsmans +4 more
doaj +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Scoping Ethical AI in Working Life: Lessons for the Nordic Model
The Nordic working life is characterized by high union density, flat organizations, and trust. In this context, ethical artificial intelligence (AI) implementation requires dialogue and collective decision-making between employers and employees.
Christoffer Larsson +2 more
doaj +1 more source
Distribution-Specific Auditing For Subgroup Fairness
We study the problem of auditing classifiers with the notion of statistical subgroup fairness. Kearns et al. (2018) has shown that the problem of auditing combinatorial subgroups fairness is as hard as agnostic learning. Essentially all work on remedying statistical measures of discrimination against subgroups assumes access to an oracle for this ...
Daniel Hsu 0001 +2 more
openaire +4 more sources
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Perceptions of the dimensions of the fairness of affirmative action: A pilot study
The purpose of this study was to identify the dimensions of affirmative action (AA) fairness in order to develop a valid and reliable questionnaire to assess employees’ perceptions of the fairness of AA decisions and practices, and to explore the ...
L. P. Vermeulen, M. Coetzee
doaj +1 more source

