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Presentation
Presentation
This Course Unit aims to empower the class to conduct high-quality research work in a reflective manner, emphasizing quantitative methods, but also making conscious decisions regarding ontological, epistemological, and axiological aspects in their research projects. This Course Unit is focused on imparting knowledge about the philosophy of science and the integration of quantitative and qualitative methods, with an emphasis on cutting-edge data collection and analysis techniques. This Course Unit is dedicated to reflecting on the ethical and technical considerations for handling data collected during research, referencing the best practices adopted by the European Commission and other international research bodies. This Course Unit is particularly dedicated to cumulative and integrative practical work.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Doctorate | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULHT1099-25176
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
Epistemology, Ontology, Axiology Situated Knowledges, speaking positionality Introduction to Digital Methods: Exploring Instagram through a Feminist Lens (presenting research possibilities with PhantomBuster, ZeeScuimer, GoogleSheets, ImageSorter) Emerging Technologies and the Future of Communication - The Dawn of Singularity. Participation Shifts Research Ethics and Data Management Communicating science in a hypermediated world Wrong move(s)? Critical approaches to Digital Humanities and Avatar studies Cutting out boredom? Let’s talk about algorithmic cinema and generative media Survey Construction and Deployment Media effects and its critique Using large language models to analyse social interaction Digital Methods: collect data on YouTube and Facebook (tools:YouTube Data Tools & Facepager)
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Objectives
Objectives
Master and apply the concepts of epistemology, ontology, and axiology in a research context. Become familiar with and know how to use various methods of quantitative data collection and analysis. Understand and know how to use data management planning templates and ethical self-assessment tools. Understand and critically reflect on different forms of science communication for various groups.
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Teaching methodologies
Teaching methodologies
The classes include theoretical lectures, debates based on prior readings, frequent presentations of completed and ongoing work, as well as workshops conducted by a diverse teaching staff, which allows for flexibility. Moodle and other online collaborative work platforms are used to ensure greater accessibility and dynamism, fostering a strong peer culture.
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References
References
Haraway, D. (1988). Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective. Feminist Studies, 14(3), 575–599. https://doi.org/10.2307/3178066 Neuman, W. L. (2006). The Meanings of Methodology. In Social research methods: Qualitative and quantitative approaches (6th ed, pp. 79–109). Pearson/AandB. Weingart, P., & Guenther, L. (2016). Science communication and the issue of trust. Journal of Science Communication, 15(5), C01. https://doi.org/10.22323/2.15050301 Alderson, P., & Morrow, V. (2011). The ethics of research with children and young people: A practical handbook. SAGE Publications. Miconi, A. (2024). On Digital Fetishism: A Critique of the Big Data Paradigm. Critical Sociology, 50(4–5), 629–642. https://doi.org/10.1177/08969205231202873 Hesse-Biber, S. N., & Leavy, P. (2010). Handbook of Emergent Methods. Guilford Press.
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Assessment
Assessment
Critical positionality statement - 15%
Data Management Plan + Ethics Self-Assessment - 15%
Final Project Defence - 70%
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Mobility
Mobility
No





