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.