Recent Research on Statistics, Machine Learning, and Data Science in Sustainability and Penta Helix Contribution
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 26685
Special Issue Editors
2. Laboratory Hierarchical Likelihood, Department of Statistics, Seoul National University, Seoul 08826, Korea
Interests: machine learning; SDGs; large-scale optimization; fast computing; spatial statistics
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; spatial statistics; SDGs
Interests: extension and application of hierarchical GLMs and (hierarchical or h) likelihood theory; software development for random effect models; their applications to genetics; image and quality improvements
Special Issues, Collections and Topics in MDPI journals
Interests: statistics; social research; structural equation model
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite researchers to contribute original research and review articles dealing with Sustainable Development Goals (SDGs) and how statistics, machine learning, and data science can be used as tools to provide good solutions to Penta-helix collaboration involving stakeholders in better planning, implementation, and monitoring of the rebuilding process, including local governments, local communities, experts and academics, the media, and the private sector, which can be more effective in solving problems, especially in the SDGs sector.
Topics of interest include but are not limited to:
- Implementation of recent statistics, machine learning, and data science in social sciences, social protection, economics, public health, remote sensing, environmental science and multidisciplinary research;
- Integrating research towards Penta-helix collaboration;
- Addressing the implication of the SDG topics.
Dr. Rezzy Eko Caraka
Dr. Eng. Anjar Dimara Sakti
Prof. Dr. Youngjo Lee
Dr. Toni Toharudin
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.
Keywords
- data science
- SDGs
- Penta-helix
- sustainable
- machine learning
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