Advances in Applied Data Science: Bridging Theory and Practice
A special issue of Analytics (ISSN 2813-2203).
Deadline for manuscript submissions: 31 March 2025 | Viewed by 1026
Special Issue Editor
Interests: visual analytics; visualization; human-computer interaction; machine learning; data science
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of the modern AI/ML landscape has led to remarkable opportunities for advancement in the delivery of personalized, proactive information tailored to individual or organizational needs. However, moving recent innovations from theory into practice involves further development across areas such as modeling real-time objectives and interests, managing information scale, efficiently prioritizing relevant data, and designing effective user interfaces for evaluating tailored information in context. The second annual Summer Conference on Applied Data Science (SCADS), hosted by the Laboratory for Analytic Sciences (LAS) at North Carolina State University (NCSU) in 2023, was organized around this theme. Expanding on the insights generated at this event, this Special Issue addresses the challenge of managing the vast amount of information available to knowledge workers across several layers of the information ecosystem, and the potential for recent innovations in machine learning, multimodal analytics (combining text, audio, imagery, sensor data, etc.), recommendation systems, data triage, LLMs, and human–machine collaborative systems to advance the state of the art in this emerging area. To that end, this Special Issue is an open call for advances in theoretical models, novel methodologies, and case studies of practical applications of personalized analytics, with the ultimate goal of encouraging breakthrough innovation in tailored reporting for knowledge workers across all data-driven domains.
Dr. R. Jordan Crouser
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. Analytics is an international peer-reviewed open access quarterly 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 1000 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
- personalized analytics
- recommendation systems
- machine learning
- artificial intelligence
- multimodal data
- human–machine teaming
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