It encourages design of monitoring programs for environmental data collection, and development of theoretical justifications of statistical decisions with attention to law, ethics, and economy.

Technological advances. The methods used by NAPS to measure air quality have evolved over the years. Additional measurements of a variety of new substances were initiated in the 1980s. Air samples for ...

A new master’s program in environmental science at the University of Chicago will provide students with the foundational quantitative and data science skills needed across a wide range of ...

You will take the following compulsory units: Environmental Modelling Applications; Earth Systems Modelling; Introduction to Scientific Computing; Mapping and Modelling Geographic Data in R or ...

This kind of data is essential for sustainable digital nudging on e-commerce platforms such as Amazon.com. Shopify or Alibaba.” Reducing ICT emissions. While data and AI are necessary for enhanced ...

With the increasingly severe environmental pollution problem, the widespread deployment of environmental monitoring stations has generated massive and complex environmental data. Traditional data ...

introduces a variety of Earth and environmental, and geospatial datasets and the specialist mathematical and software tools required for their quantitative and computational analysis. The module also ...

2 Demonstrate an understanding of quantitative data analysis. 3 Develop a robust research proposal. 4 Write a self-directed, the epistemologically robust research report. Learning outcomes can change ...

While global data is sparse, the agency estimates that in the tech hub of Ireland, the rise of AI could see data centres account for nearly 35 per cent of the country’s energy use by 2026. Driven in ...