Visual Analytics: Techniques and Applications

Dear Colleagues,

The visual analytics methodology emerged historically as the potential answer to the needs of researchers and practitioners who found that computational data analysis methods (e.g., originating in the fields of statistics or AI), interactive visualization methods, or more traditional sensemaking approaches were not sufficient on their own for challenging real-world data analyses. Visual analytics lies at the intersection of these methods and aims to tightly integrate domain knowledge in the analysis process by actively including the human data analyst.

This Special Issue invites article submissions within the broader field of visual analytics, including research papers presenting novel approaches, systems, techniques, evaluation studies and theoretical methodologies, application papers presenting design studies and successful uses of VA in practice, and survey papers giving state-of-the-art overviews of the field.

Topics of interest include (but are not limited to):

• Theory and design spaces;
• Methodological/theoretical foundations;
• Novel techniques for visual representation, interaction, or other steps of visual analytic workflows;
• Empirical studies in VA;
• Human-computer interaction;
• Human-centered VA and human factors;
• Progressive visual analytics;
• Human-centered ML/AI;
• Explainable AI;
• Visual data science;
• Visual data mining;
• Decision making through VA;
• Immersive analytics;
• Applications, design studies, and problem-driven work.

Dr. Katerina Vrotsou
Dr. Kostiantyn Kucher
Guest Editors

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.

• visual analytics
• information visualization
• scientific visualization
• intelligent user interfaces
• human-centered machine learning