Postgraduate Course: Working with Big Data to Improve Children's Safety and Wellbeing (fusion on-site) (EFIE11339)
Course Outline
| School | Edinburgh Futures Institute |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | In this course, students will learn about opportunities for big data in child protection, and the challenges associated with the ethics, sharing and analysis of big data for the safety and wellbeing of children and young people globally. The course will also cover big data ethical debates as they relate to children and young people. |
| Course description |
The course will be taught in a hybrid format with a two-week pre-intensive part of the course leading up to a two-day intensive session followed by the two-week post intensive session.
In the pre-intensive part of the course (two weeks) students will engage with experts in the field through pre-recorded guest lectures and case studies that present big data challenges and opportunities as they relate to children and young people's wellbeing and safety.
In the two-day intensive, students will walk through a workflow of big data from challenge question to answer; and all the elements required in between (including ethics). Students will also engage in team debates and discussions around big data issues during the intensive session.
During both the intensive and post-intensive sessions, students working in teams will work on a big data workflow assessment - worth (100%) - mapping the process of a big data study from challenge to solution.
This course covers big data in the context of child sexual exploitation and abuse (CSEA), thus there will be mentions of the abuse of children and young people. The content will not be gratuitous or sensationalist, but it may be upsetting for students. Breaks will be built-in throughout the intensive days and the University offers well-being services.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Demonstrate an advanced understanding of the challenges and opportunities with big data to address wellbeing and safety issues among children and young people.
- Critically engage in ethical issues surrounding big data and children and young people.
- Demonstrate a comprehensive understanding of the workflow processes of a big data study from start (challenge question) to finish (solution).
- Understand elements of the technical approach to big data capture and analysis.
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Reading List
Indicative Reading List:
Essential Reading:
Berman, G., and Albright, K.(2017) Children and the Data Cycle: Rights and Ethics in a Big Data World. Florence: UNICEF https://www.unicef-irc.org/publications/907-children-and-the-data-cyclerights-and-ethics-in-a-big-data-world.html
Montgomery KC, Chester J, Milosevic T. Children's Privacy in the Big Data Era: Research Opportunities. Pediatrics. 2017 Nov;140(Suppl 2):S117-S121. doi: 10.1542/peds.2016-1758O. PMID: 29093045.
Munro, E., (2019) Predictive analytics in child protection. https://www.durham.ac.uk/media/durham-university/research-/research-centres/humanities-engaging-sci-and-soc-centre-for/K4U_WP_2019_03.pdf
Goldberg, J. and Pierson, L. Managing Big Data Workflows: BMC Software Edition.
Recommended Reading:
The Foster Care System Turns to Big Data: Promising or Profiling? https://imprintnews.org/child-welfare-2/the-foster-care-system-turns-to-big-data-promising-or-profiling/62359
Further Reading:
Algorithms of Oppression by Dr Safiya Umoja Noble |
Additional Information
| Graduate Attributes and Skills |
- Enquiry and lifelong learning.
- Outlook and engagement..
- Research and enquiry.
- Personal and intellectual autonomy.
- Personal effectiveness.
- Communication. |
| Keywords | Big Data,Children,Young People,Child Protection,EFI,Level 11,PG,Children's Wellbeing |
Contacts
| Course organiser | Dr Ashleigh McFeeters
Tel:
Email: a.mcfeeters@ed.ac.uk |
Course secretary | Miss Yasmine Lewis
Tel:
Email: yasmine.lewis@ed.ac.uk |
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