Data Science for Environmental Chemical Monitoring
A special issue of Toxics (ISSN 2305-6304). This special issue belongs to the section "Novel Methods in Toxicology Research".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 6670
Special Issue Editor
2. Environmental Institute, Koš, Slovakia
Interests: analytical chemistry; non-target screening; high-resolution mass spectrometry; environmental chemistry; chemicals' management; cheminformatics; data science; machine learning
Special Issue Information
Dear Colleagues,
It is my great pleasure to invite you to participate in this Special Issue on "Data Science for Environmental Chemical Monitoring".
Environmental chemical monitoring is an ever-evolving field that plays a crucial role in understanding and mitigating the impacts of hazardous substances on our environment, and in order to address the intricate challenges posed by environmental chemical monitoring, innovative data science approaches are essential. Consequently, this Special Issue aims to gather the latest research advances in this area and provide a forum for scientists, engineers, and practitioners to share their experiences, ideas, and innovations.
The scope of this Special Issue includes, but is not limited to, the following topics:
- Computational mass spectrometry for the analysis of environmental data.
- Novel prioritization approaches in non-target screening and metagenomics.
- Statistical methods, machine learning, and data mining techniques for environmental chemical monitoring.
- Computational models for environmental exposure assessment.
- New ecotoxicological approaches and their applications in environmental chemical monitoring.
- Advances in understanding adverse outcome pathways and their impact in ecosystem services.
- Integrating big data sources into environmental chemical monitoring.
- Emerging trends and challenges in environmental data science.
This Special Issue will serve as a platform for disseminating cutting-edge research findings, encouraging cross-disciplinary collaboration, and facilitating the exchange of ideas among researchers and practitioners working in the field of environmental chemical monitoring.
We warmly welcome original research articles, review articles, and perspectives from experts in the field. All submissions will undergo a rigorous peer-review process to ensure the highest quality of published articles.
The deadline for submitting articles for consideration is 31 May 2024.
We hope that you will seize this opportunity to contribute to this exciting Special Issue and join us in advancing the field of environmental data science for environmental chemical monitoring.
Sincerely,
Dr. Nikiforos Alygizakis
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. Toxics is an international peer-reviewed open access monthly 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 2600 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
- environmental chemical monitoring
- computational mass spectrometry
- non-target screening
- statistical methods
- machine learning
- computational models
- big data
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