What data science can mean to solve environmental problems?
Chemometrics has consolidated and expanded its contribution to different scientific and technological fields, because of its success in the resolution of problems in various fields, like for example, in environmental and omics sciences, and in general because of its role in the analysis of large volumes of data (BigData). Application of data analysis and chemometric methods helps us to improve the understanding of global challenges and of human impacts on the environment and provide efficient tools for environmental risk assessment and management. Pollution and toxic chemical compounds are a threat for the environment and human health which need urgent measures and actions. Environmental monitoring studies produce huge amounts of multivariate analytical data stored in large data sets. The bottle neck in the study of these environmental data tables is their analysis and interpretation. There is a need for chemometrics analysis of these big data tables. There is also at present an urgent need for an improvement, dissemination and automation of all the steps of data analysis of high throughput analytical `big¿ omics type of data (genomic, transcriptomics, proteomics, metabonomics, lipidomics,...) using chemometric methods to assess the effects and risks of environmental pollutants and stressors.
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| Format: | actas de congreso biblioteca |
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2022-04-22
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| Online Access: | http://hdl.handle.net/10261/330856 |
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