Postgraduate Module Descriptor
PHLM011: Data Governance and Ethics
This module descriptor refers to the 2022/3 academic year.
Whilst the precise content may vary from year to year, it is envisaged that the syllabus will cover all or some of the following topics:
- Measuring society? Data governance and ethics.
- How to deal with exclusions: fairness in data collection and analysis.
- Social justice and the politics of evidence-based movements.
- The advantages and disadvantages of automation.
- The professional status of data scientists and their role relating to government, research institutions, industry and societal expectations.
- Historical roots and current institutionalisation of data science.
- Data science across fields: the challenges of diversity.
- Case Study 1: Scraping data from Twitter and other social media. Issues of privacy, sample bias and fairness.
- Case Study 2: Personalised medicine. Maintaining trust: identifying and handling ethical concerns in data science.
- Case Study 3: Engagement and participation: the opportunities of citizen science.
Learning and Teaching
This table provides an overview of how your hours of study for this module are allocated:
|Scheduled Learning and Teaching Activities||Guided independent study||Placement / study abroad|
...and this table provides a more detailed breakdown of the hours allocated to various study activities:
|Category||Hours of study time||Description|
|Scheduled Learning and Teaching||22||11 x 2 hour weekly lectures/seminars|
|Guided Independent Study||78||Background reading|
|Guided Independent Study||50||Coursework preparation and writing|
This module has online resources available via ELE (the Exeter Learning Environment).