Aims and Scope

Aims and Scope of the Journal of Data and Digital Innovation (JDDI)

Aims

The Journal of Data and Digital Innovation (JDDI) aims to be a leading interdisciplinary platform for the dissemination of cutting-edge research in data science, digital transformation, and emerging technologies. The journal seeks to:

  • Advance theoretical and practical knowledge in data-driven decision-making, analytics, and digital transformation.
  • Promote interdisciplinary collaboration among researchers, practitioners, and policymakers.
  • Foster discussions on the ethical, legal, and societal implications of digital innovations.
  • Support the development and application of innovative technologies that enhance business, governance, and societal processes.
  • Bridge the gap between academic research and industry applications by publishing high-quality empirical studies and case reports.

Scope

JDDI publishes original research, reviews, case studies, and technical papers covering a wide range of topics within the fields of data science, artificial intelligence, and digital innovation. The journal’s scope includes, but is not limited to:

1. Data Science and Analytics

  • Big Data management and processing
  • Machine learning and deep learning applications
  • Data mining, visualization, and interpretation
  • Predictive analytics and business intelligence
  • Statistical and mathematical modeling for data-driven decision-making

2. Digital Transformation and Innovation

  • Digital transformation strategies in business, healthcare, education, and government
  • Industry 4.0 and smart manufacturing
  • Human-computer interaction (HCI) and user experience (UX) in digital systems
  • Emerging trends in fintech, e-commerce, and digital marketing
  • Digital twins and simulation modeling

3. Artificial Intelligence and Automation

  • AI-driven automation and robotics
  • Natural language processing (NLP) and conversational AI
  • Reinforcement learning and autonomous decision-making
  • Ethical AI and responsible AI governance

4. Internet of Things (IoT) and Smart Technologies

  • IoT architecture, applications, and security
  • Smart cities, smart homes, and connected environments
  • Edge computing and distributed data processing
  • Sensor networks and real-time analytics

5. Cybersecurity, Data Privacy, and Ethics

  • Data protection regulations (e.g., GDPR, CCPA)
  • Cybersecurity challenges and solutions in digital ecosystems
  • Blockchain and decentralized technologies for secure transactions
  • Bias, fairness, and transparency in AI and data usage

6. Cloud Computing and Distributed Systems

  • Cloud-native applications and microservices
  • High-performance computing and data storage solutions
  • Serverless computing and edge AI
  • Distributed databases and real-time processing

7. Human and Social Aspects of Digital Innovation

  • Digital literacy and education in the era of AI
  • Societal impact of automation and digital transformation
  • Ethical considerations in AI governance and policymaking
  • Digital divide and technology accessibility

Target Audience

JDDI caters to a diverse audience, including:

  • Academics and researchers in computer science, engineering, and data analytics.
  • Business leaders, IT professionals, and decision-makers involved in digital transformation.
  • Policymakers and regulatory bodies overseeing technology and data governance.
  • Students and educators in AI, data science, and emerging technologies.

The journal welcomes contributions from both academia and industry, ensuring a blend of theoretical advancements and practical applications in the evolving landscape of data and digital innovation.