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Integrating Science Into Disaster Risk Reduction (IRDR0015)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Institute for Risk and Disaster Reduction
Credit value
15
Restrictions
N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module is intended to meet the growing and recognised need that scientific and other technical knowledge must become more integrated in a systematic way into disaster risk reduction strategies. The aims of the module therefore are: (i) to make students aware of the role science has to play in informing and improving disaster risk reduction strategies, and (ii) to equip students with the skills and knowledge enabling them to solve complex problems in disaster risk reduction through engagement with scientific knowledge, methods, data and expertise.

The module will consider the following topics:

  • Overview of approaches to disaster risk reduction.
  • Behavioural Biases
  • Quantitative risk assessment
  • Risk Perception and Communication
  • Dealing with uncertainty, including acceptable levels of risk and uncertainty
  • Catastrophe modelling
  • The role of the insurance industry in risk and disaster reduction
  • Warning, evacuation and shelter
  • Methodologies for individual and group decision-making
  • Communication of complex issues to wide and varied audiences that will have different objectives with regard to issues and solutions

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
50% Exam
50% Other form of assessment
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
0
Module leader
Professor Joanna Faure Walker
Who to contact for more information
irdr-education@ucl.ac.uk

Intended teaching term: Term 1 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Exam
Mark scheme
Numeric Marks

The methods of assessment for affiliate students may be different to those indicated above. Please contact the department for more information.

Other information

Number of students on module in previous year
91
Module leader
Professor Joanna Faure Walker
Who to contact for more information
irdr-education@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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