Ethical Considerations in Computational Historical Research
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Description
This exam evaluates ethical considerations in computational historical research, addressing data collection, privacy, and the representation of marginalized voices.
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Exam Details
Duration: 45 minutes
Prerequisites: Introduction to Digital Ethics, Introduction to Digital Humanities, Ethical Frameworks in Research
Key Topics
- Ethical Considerations
- Data Privacy
- Representation of Marginalized Voices
- Ethical Decision-Making
- Case Studies
Learning Outcomes
- Articulate Ethical Theories and Principles
- Critically Engage with Ethical Issues
- Propose Strategies for Ethical Practices
- Analyze Case Studies on Ethics
Full Description
This exam addresses the ethical considerations involved in computational historical research. Candidates will analyze potential ethical dilemmas stemming from data collection, privacy concerns, and the representation of marginalized voices in digital narratives.
Understanding ethical implications is paramount in the digital landscape, where researchers must balance innovation with responsibility. A strong ethical framework fosters trust and accountability within the historical community and among the broader public.
This exam will test candidates' ability to articulate key ethical theories and principles, critically engage with contemporary issues, and propose strategies for ethical decision-making in computational history.
Candidates should be prepared to discuss case studies that illustrate ethical challenges in research and examine frameworks that can guide ethical practices in their work.
Sample Questions
- What ethical dilemmas can arise when collecting historical data?
- How can researchers ensure the representation of marginalized voices in digital narratives?
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