Dear Colleagues,

Human–technology interaction (HTI) is an interdisciplinary research area that focuses on the development of products for human–environment interaction. HTI refers to the interaction between humans and technology (i.e., hardware and software with any technology). In addition, it encompasses the processes, actions and dialogues that a user engages in to interact with technology. In this context, we expect that the technological advancements will enable more comprehensive, sustainable data and real-time information for improved decision making and collaborations.

This Special Issue solicits high-quality scientific contributions on sustainable data use for environmental decision making in terms of HTI. We encourage submissions of research contributions that advance our theoretical understanding of the field of environmental decision making, report experimental investigations of decision-making mechanisms in various types of environments, propose innovative solutions to the design of environmental decision-making systems, or provide novel perspectives on various types of environments or technological advancements of interest across scientific boundaries. Within this framework, authors are invited to submit manuscripts for consideration to be published in this Special Issue addressing, but not limited to, the following:

• Processes of environmental decision making through human–technology interaction;
• Sustainable data use in various types of environmental decision making for a sustainable environment, such as the smart environment, smart industry, smart city, and sustainable energy domains;
• Software frameworks, experiments, and case studies in the context of data-driven decision making;
• Machine learning (including deep learning) approaches for advanced environmental decision making;
• Collective interactions involving environmental decision making;
• Alternative concepts, theories and methods that reflect environmental decision contexts for cyber and physical environments.

Prof. Dr. Yuchul Jung
Prof. Dr. Dongjun Suh
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. Sustainability 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.

• sustainable data use in various contexts
• decision making with data
• decision support system
• knowledge management for various types of environments
• predictive model
• AI/ML-based decision making
• artificial intelligence
• machine learning
• deep learning
• big data analytics
• decision making-based applications