College of Social Sciences and International Studies
Data Governance and Ethics
Module SOCM033 for 2019/0
Module SOCM033 for 2019/0
- Overview
- Aims and Learning Outcomes
- Module Content
- Indicative Reading List
- Assessment
Postgraduate Module Descriptor
SOCM033: Data Governance and Ethics
This module descriptor refers to the 2019/0 academic year.
Module Content
Syllabus Plan
Topics will include:
- 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. With guest lecture from Met Office.
- Cinema event & discussion.
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 |
---|---|---|
22 | 128 | 0 |
...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 | Lectures and discussion (two hours per week) |
Guided Independent Study | 78 | Background reading |
Guided Independent Study | 50 | Coursework preparation and writing |
Online Resources
This module has online resources available via ELE (the Exeter Learning Environment).