Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JOIV : International Journal on Informatics Visualization International Journal of Sharia and Law
Bodnar, Nataliia
Unknown Affiliation
Religion Computer Science & IT Law, Crime, Criminology & Criminal Justice

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Crowdsourcing Innovations in Renewable Energy and Collective Intelligence Labash, Huda; Kareem Abass, Haithem; Abdulkarim Dheeb, Shaimaa; Bodnar, Nataliia; Abdulkhaleq Ali, Ammar
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.4380

Abstract

As the pace of transition to sustainable energy systems is accelerating, there is an urgent need for creative and all-inclusive approaches capable of expediting the development and deployment of technologies. This study presents crowdsourcing and collective intelligence as strategic means to improve efficiency in innovation and stakeholder engagement in the renewable energy context. Using a multi-methods approach in which structured surveys, multi-case analysis, and algorithmic model building are combined, this study assesses the operational and leading indicators of crowdsourcing effectiveness. Data was gathered from 250 respondents and five real-life energy projects and supported by two algorithmic models: the Participation-Weighted Solution Prioritization (PWSP) model and the Dynamic Implementation Success Estimator (DISE). The results show that it is possible to achieve significant reductions in development time and energy consumption while increasing the quality of the solution and the percentage of implementations. Finally, the synthesis of survey and algorithmic results demonstrated a significant alignment between perceived importance and predictive relevance of features, like submission quality and review protocols. While the work identifies clear advantages, it also surfaces ongoing challenges around data availability, algorithm scalability, and inclusivity in terms of who gets to contribute. These findings highlight the role of smart evaluation mechanisms and adaptive platform governance to enhance the contribution of crowdsourcing to energy innovation. The authors argue that, when guided by strong design and ethics, crowdsourcing can be a potent tool for speeding sustainable energy transitions and democratizing innovation.
Women and Islamic Law: Exploring Interpretative Authenticity and Gender Harmony within Qur’anic and Juristic Traditions Bodnar, Nataliia
International Journal of Sharia and Law Vol. 2 No. 1 (2026): In Press
Publisher : Qiyam Islamic Studies Center Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65211/ijsl.v2i1.31

Abstract

Legal systems in multi-religious states often struggle to harmonize Islamic jurisprudence with constitutional equality norms, particularly in gender-sensitive disputes. Existing studies explore either internal hermeneutics of Usul al-Fiqh or external comparative frameworks, but seldom test how their integration affects real-world judgments. The article investigates whether coupling maqāṣid-centred interpretation with procedural adaptability can systematically advance gender-equitable outcomes across pluralistic jurisdictions. An explanatory sequential mixed-method design was applied to 129 appellate judgments, 38 statutes, and 53 qualitative interviews drawn from Indonesia, South Africa, and the United Kingdom. Two original metrics were developed: the Maqāṣid Alignment Index (MAI) measuring doctrinal fidelity to equality and welfare, and the Trans-Systemic Convergence Score (TCS) capturing procedural flexibility, statutory amenability, and outcome parity. Semantic-network analysis identified bridging concepts, while logistic regression estimated the predictive power of MAI and TCS for gender-equitable relief. Judgments situated in the highest MAI–TCS tercile granted equitable remedies in 78 % of cases, compared with 22 % in the lowest tercile. Each one-standard-deviation increase in MAI multiplied the odds of favorable relief by 8.5 (p < 0.001), and a comparable rise in TCS did so by 6.5 (p < 0.01). Network metrics revealed a small-world topology anchored by maṣlaḥa and constitutional equality clauses, highlighting doctrinal nodes where targeted reform can yield maximal systemic impact. Integrating maqāṣid-oriented hermeneutics with adaptive procedural tools provides an empirically validated pathway toward inclusive jurisprudence, offering legislators and jurists a replicable model for aligning Islamic legal reasoning with universal justice norms.
Co-Authors Abdulkarim Dheeb, Shaimaa Abdulkhaleq Ali, Ammar Kareem Abass, Haithem Labash, Huda