Artificial Intelligence and Big Data Applications for Innovative, Collaborative and Sustainable Development
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 March 2025 | Viewed by 77
Special Issue Editor
Interests: machine learning; software quality; human computer interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The main objective of this topic is to provide organizations with a comprehensive understanding of their capacity to leverage AI and BD for innovative, collaborative, and sustainable development, ultimately facilitating effective decision-making. As the digital landscape continues to evolve rapidly, this Special Issue aims to bridge the gap between the wealth of available data and its practical utilization within organizations.
We welcome original research, case studies, and practical implementations focused on, but not limited to, the following:
- Theoretical foundations of AI and BD for organizational, collaborative, and sustainable development.
- Practical applications of AI and BD in enhancing products, services, operations, and collaboration.
- Collaborative approaches to data-driven decision-making using AI.
- Historical and real-time data processing using AI, machine learning, and visual analytics.
- Overcoming challenges in implementing AI and BD for collaborative and sustainable development.
- Tools and technologies for the effective utilization of available data.
- Supporting organizational creativity, innovation and decision-making using AI.
- Designing intelligent information systems and building decision support systems.
- Using AI and BD tools and solutions to achieve the innovative, collaborative, and sustainable development of organizations.
- Challenges and opportunities of applying AI and BD for the innovative, collaborative, and sustainable development of organizations.
- Use of state-of-the-art practical approaches, solutions, methods, and tools, including machine and deep learning, to foster the innovative, collaborative, and sustainable development of organizations by using of AI and BD.
- Technological and human requirements for effective and efficient AI and BD operations.
Dr. Paweł Weichbroth
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- big data
- digital landscape
