Hybrid Conference (In Person / Virtual)

International Conference on Statistical Techniques for Environmental Data (ICSTED - 27)
6th - 7th April 2027 , Birgu, Malta
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Call For Papers

The ICSTED provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Statistics, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Statistical methods for environmental monitoring
02
Data quality assessment in environmental studies
03
Spatial statistics for ecological data analysis
04
Statistical modeling of climate change impacts
05
Time series analysis of environmental data
06
Bayesian approaches in environmental statistics
07
Statistical techniques for pollution assessment
08
Multivariate analysis of environmental factors
09
Statistical tools for biodiversity studies
10
Statistical inference in environmental epidemiology
11
Machine learning applications in environmental data
12
Statistical methods for water quality assessment
13
Remote sensing data analysis techniques
14
Statistical modeling of natural resource management
15
Data visualization techniques for environmental data
16
Statistical analysis of climate variability
17
Longitudinal data analysis in environmental research
18
Statistical approaches for sustainable development
19
Environmental risk assessment using statistics
20
Statistical education for environmental scientists

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.