Topics of Interest

We invite the submission of original research, reviews, and case studies that investigate the dynamic interplay between Artificial Intelligence and a diverse range of disciplines. We welcome contributions that explore both the application of AI to advance these fields and the critical examination of its societal impact.

Topics of interest include, but are not limited to:

  • Environmental Science & Sustainability: Advancing climate modeling, ecosystem management, conservation efforts, and analyzing the environmental footprint of AI itself.
  • Law, Ethics & Governance: Navigating AI regulation, algorithmic accountability, data privacy, intellectual property, and the protection of human rights.
  • Geography & Geospatial Sciences: Transforming urban planning ("smart cities"), precision agriculture, disaster management, and spatial data analysis.
  • Business, Economics & Entrepreneurship: Driving business model innovation, market analytics, supply chain optimization, fintech, and the startup ecosystem.
  • Quality Assurance & Systems Engineering: Ensuring robustness through AI-powered testing, validation, verification, and safety-critical systems engineering.
  • Social & Public Administration: Enhancing public service delivery, policy analysis, social welfare programs, and addressing inequality and bias in systems like criminal justice.
  • Media, Culture & the Performing Arts: Exploring AI's role in content creation, journalism, music, and film, and its profound influence on cultural production and consumption.
  • Health Informatics: Innovating in areas such as medical imaging, drug discovery, personalized medicine, and healthcare system management.
  • AI Application & Implementation: Cross-disciplinary case studies on deployment strategies, user experience (UX), and analyses of adoption challenges and successes.
  • AI Tools & Development: Novel algorithms, model frameworks, MLOps practices, and research into the core technical advancement of AI systems.
Contact
  • Directorate of Academic Planning and Quality Assurance (DAPQA),
    SDD-UBIDS, P. O. Box WA 64, Wa, Upper West Region, Ghana
  • +233 208071685
  • kpeprah@ubids.edu.gh
  • +233 208071685
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  • Academia
© 2025 Ecothink GH — Journal of AI Production and Consumption