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Crowd-Sourced and Citizen Data for Cultural Heritage (BENV0114)

Key information

Faculty
Faculty of the Built Environment
Teaching department
Bartlett School of Environment, Energy and Resources
Credit value
15
Restrictions
This module is available for students on MSc Sustainable Heritage Limited spaces for Masters level students from programmes other than MSc Sustainable Heritage. Limited space for auditing PhD students (subject to module lead approval).
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Crowd-sourcing is transforming the way heritage data is obtained. By enabling anonymous citizens or visitors to produce measurements or carry out small tasks, heritage institutions can simultaneously increase data collection rates and engagement levels. These methods are, however, subject to important practical and theoretical problems. This groupwork based module equips you with the tools to think critically about crowd-sourcing methods in heritage and to evaluate the data obtained by them. You will learn how to design a crowd-sourcing exercise, and experiment with appropriate measures to control the quality of the obtained data. The data-gathering methods may be: the use of smartphones to obtain visual information (colour, dimension, area, shape), wearable and low-cost sensors to obtain information that can inform preventive conservation (pollutants, moisture, temperature) or to obtain textual information that can help interpretation (tags, classification of images, transcriptions). You will also develop statistical skills to assess the metrology of the crowd-sourced data. Finally, you will explore the scientific and ethical issues associated with this new type of analytical technique.

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Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
90% Coursework
10% Other form of assessment
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
34
Module leader
Dr Pakhee Kumar
Who to contact for more information
bseer-studentqueries@ucl.ac.uk

Last updated

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

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