Humanitarian Engineering and Data Science (IRDR0042)

Digital data, predictive analytics and engineering solutions are transforming the efficiency and effectiveness of humanitarian crises response, preparedness, and anticipation. Humanitarian, disaster risk reduction, and development actors are increasingly relying on data to drive their decisions. Over the last decade, the amount of data collected and used by humanitarians grew exponentially which helped organisations run humanitarian operations more effectively. This module introduces students to a range of engineering and data-science methods that are currently used in humanitarian action and human welfare. This module covers the fundamentals of data-driven engineering solutions and digital data science in the era of big data. Students will be learning about the application of digital data, their limitations, and ethical considerations of using them in humanitarian and development contexts. 

This module uses JavaScript (ECMAscript) to introduce the fundamental principles of procedural computer programming and scripting languages. It reinforces...

Introduction to Programming and Scripting (INST0019)

&#039;Social Theory’ is a module which will introduce you to the main debates and issues of key social theories as they relate to population health. A...

Sociological Theory and Population Health (IEHC0054)

Policy and operational decisions in public and private sectors are informed by evidence. This course will set out some environmental drivers of policy...

Sustainable Management of the Environment (GEOL0035)

Policy and operational decisions in public and private sectors are informed by evidence. This course will set out some environmental drivers of policy decisions (e.g. adapting to climate change; natural capital issues; flooding) that depend on earth sciences data and knowledge and will expose students to examples of how this evidence can be communicated and used in decision-making. The course will allow students to learn how sustainability and risk issues are being accounted for in policy and operational work. The students will choose from a set of problems and undertake an independent project to explore issues raised in lectures and tutorial sessions at greater depth. The module may require students to be willing to look at some subject matter outside of the Earth Sciences domain.

By the end of this module students will:

gain detailed knowledge of evidence-policy cycles;
	understand how earth science knowledge can influence policy and operational decisions affecting environmental risks and natural capital.