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Research Seminar

Code: 43145
Credits: 12
2026/2027
Degree programme Type Course
Anthropology: Advanced Research and Social Intervention OB 1

Contact lecturer

Name :
Sílvia Gomez Mestres
Email :
silvia.gomez@uab.cat

Teaching staff

José Luis Molina Gonzalez
Dan Rodriguez Garcia
Beatriz Ballestin Gonzalez
Miranda Jessica Lubbers

Teaching staff (external to UAB)

Por asignar

Group languages

You can consult this information at the end of the document.

Prerequisites

There are no prerequisites

Objectives

This module is part of the common modules to be taken by all students of the Master degree program, regardless of the specialty they are studying. It is taught in the second semester.

General objectives:

  •  To know the different strategies, traditions, methodologies, and specific techniques that are used for the analysis of the results obtained, both qualitative and quantitative, and the existing computer programs.
  •  To expose in a narrative way the results of the investigation according to the critical canons of the discipline, taking into account the diverse audiences to which it is addressed.

Objectives of Projects II: Scientific Communication:

To provide guidance to Master students regarding the role and styles of scientific communication in anthropological research and to help them develop their own writings. It focuses primarily on conference presentations, scientific articles and other scientific texts, and grant proposals, but also describes other types of communication.

Objectives of Methodology for the Analysis of Qualitative Data:

This block provides knowledge about methodologies for the analysis of qualitative socio-scientific data, their potentialities, and limitations. It includes a practical part consisting in an exercise of categoritzation and codification.

Objectives of Social Network Analysis:

This block provides the foundations of social network analysis, a set of theories and methodological techniques used in anthropology and social sciences.

Objectives of International Migration and Mixedness:

The objective of this block is to approach the relationship between migrations and the processes of mixedness or sociocultural hybridism, first offering some theoretical-methodological keys on migration and diversity, and then going more deeply into the resulting processes of mixedness (mixed couples/families and their descendants; multiple, multiracial and multiethnic identities, multiple cultural capital, discrimination, etc.) from an interdisciplinary, intersectional and critical perspective, typical of critical mixed-race studies.

Objectives of Research Laboratory:

To discuss theoretical and methodological advances of the research for the Master theses (TFM) by thematic areas, in order to mature the partial results in the light of the disciplinary landscape. Students are expected to present their work in one of the seminars and participate actively in the other discussion sessions.

Learning outcomes

  1. Present conclusions from research work in anthropology.
  2. Understand and use information and communication technologies in accordance with the ethnographic context chosen for study and/or intervention.
  3. Under the supervision of tutors, carry out all the stages of a research project and/or an intervention (documentation, reflection, analysis of data and writing) in the context of the anthropology master's dissertation.
  4. Choose research methods that fit the aim of understanding the population being studied and the social and cultural problems to be solved.
  5. Propose the appropriate theoretical-methodological intervention or research design for the chosen ethnographic context of an anthropological study.
  6. Choose and suitably combine the different techniques for compiling and analysing data in an anthropological research project.
  7. Evaluate the social and cultural appropriateness of survey questionnaires used in small- and large-scale investigations.
  8. Use the procedures of qualitative information and content analysis.
  9. Defend arguments clearly, precisely and appropriately within the context, and at the same time value the contributions made by other people.

Contents

The module is divided in five thematic blocks:


1. Projects II: Academic Writing and Research Dissemination


[Prof. Miranda Lubbers] (14 hours)


Theme 1. Introduction: The role of communication in research and the scientific career; Different types of communication; Reasons for writing in different formats; Process and Peer review system; General aspects (collaboration, ethics, gender).


Theme 2. (3 sessions) Preparation of a scientific article or text (such as the Master thesis): Elaboration of a paper/TFM: Structure, contents, style, revision. Formatting bibliographic references. The use of AI.


Theme 3. Preparation of ethnographic texts: Elaboration of an ethnographic text: Structure, contents, style; Common conventions; Ethnographic detail: Persons, places, events, dialogue.


Theme 4. Preparation of a grant proposal: Types of grants (e.g., doctoral); Finding opportunities for grants; Understanding the prerequisites of a call; Elaboration of a proposal: Structure, contents, style; Process of evaluation.


Theme 5. Preparation of a conference presentation: Reasons for participation in conferences; Types of conferences; Calls for papers/posters; Types of contributions; Elaboration of an abstract/poster/presentation: Structure, contents, style; Process of evaluation.


Theme 6. Practical in-person test in the classroom and conclusion.


2. Methodology for the Analysis of Qualitative Data


[Responsible lecturers: Dr. Beatriz Ballestin] (10 hours) and Prof. Dan Rodriguez (4 hours)


Theme 1. Introduction to qualitative dataanalysis


Theme 2. The analysis of qualitative data: Transcription, the process of coding and treatment of information


Theme 3. Analytical approaches: Discourse analysis, content analysis, grounded theory


3. Social Network Analysis


[Responsible lecturer: Dr. José Luis Molina] (14 hours)


Theme 1. Presentation of the course. Introduction. Origins. Basic principles of social media analysis. Relational data management.


Theme 2. Elementary definitions: Density. Distance. Centrality. Cohesion. Positions and structures.


Theme 3. Social media analysis workshop (I). Sociocentric or “whole” networks.


Theme 4. Social network analysis workshop (II). Social Media.


Theme 5. Social media analysis workshop (III). Personal networks.


Theme 6. Analysis of substantive issues.


Theme 7. Participants' presentations and conclusions.


4. International Migration and Mixedness


[Responsible lecturer: Dr. Dan Rodríguez-García] (14 hours)


Topic 1. Key data on mobility and interculturality: concepts, trends, debates


Topic 2. Mixedness: definition, historical analysis, and social significance


Topic 3. The Spanish context


Topic 4. Case studies


5. Research Laboratory


[Responsible lecturer: Sílvia Gómez] (16 hours)


1 Preparatory session: 4 hours


5 Group Discussion sessions: 2 hours/session. Discussion of theoretical and/or methodological advances of the research itself for the TFM by thematic areas. Simulation of TFM defense and with group and lectured responsible.

Learning activities and methodology

Title Hours ECTS Learning outcomes
Lectures, master classes and training sessions 70 2.8
Elaboration of assignments, Assistence and active participation in class, Individual Essays, Submission of assignments and reports 130 5.2
Presentation / Oral exposition of assignments, Tutorials 10 0.4
Individual and/or group tutorials (face-to-face or virtual) 40 1.6

Lectures, master classes and training sessions

Reading and analysis of articles / reports of interest

Presentation / oral presentation of works

Participation in activities and assignments

Debates

Tutorials

Personal study

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Assessment

Continuous assessment activities

Title Weight Hours ECTS Learning outcomes
Final work 50% 25 1 1, 3
Assistence and active participation in class 20% 10 0.4 2, 4, 5, 6, 7, 8
Submission of reports and assignments 30% 15 0.6 4, 5, 9

This section of the Study Guide contains all information related to the process of evaluation of the module.

Assessment of the module: In order to pass the module, the following aspects are taken into account:

- Regular assistance and participation: First, to ensure that the expected learning results are obtained, we consider it fundamental that students assist the classes and participate actively in them. For this reason, the extent to which students participate in classes, presentations, discussions, and training sessions is evaluated.This participation is considered in the final note for each course.

- Continued assessment of the blocks: Second, each course or block proposes one or multiple activities that allow a continued assessment of the learning process. The activities can vary from a written test to a presentation in class, computer lab assignments, a review of a few articles or chapters, or a short essay, among other activities. The deadlines for these activities are indicated by the lecturers. Jointly, the evaluations for the different courses that make up the module (30%) and the active participation in these courses (20%) constitute 50% of the final grade of the module.

- Evaluation of the final paper for the module: Last, the grade obtained on a final paper constitutes the remaining 50% of the final grade for the module. In the case of the Research Seminar modules (Common Module II), the final individual paper of the module consists of an in-class practical test covering the structure, style, content, and citation of scientific texts. This test will take place during the final session of Projects II, and the exercises will assess the skills learned throughout the course.

Each lecturer determines the way in which papers are to be submitted (through the Campus Virtual, by e-mail) and informs students in the beginning of their block regarding the procedure and date of revision of grades. The lecturers communicate the results of the evaluation through the Campus Virtual and establish a period of consultation before they communicate the grades to the coordinator of the module. The student can request a tutor meeting with their lecturers throughout the course if they wish to clarify some point of the contents of the course.

It is essential to respect the deadlines.


General criteria: Following the evaluation regulations of studies at the UAB, the final qualification will be graded at a 0-10 scale with a single decimal. To pass the course, a minimum final grade of 5.0 is needed, as a result of the assessment procedure explained above. Students will receive the qualification \"Not evaluable\" if they have submitted less than 30% of the activities of evaluation. In exceptional, well justified cases, the Committee of the Master Program may propose an alternative procedure for the evaluation. Once the subject is passed, it cannot be subjected to a new evaluation. The programming of assessment activities cannot be modified unless an exceptional and well justified reason exists for this, in which case a new program is proposed during the term. Students who engage in misconduct (plagiarism, copying, personation, etc.) in an assessment activity will receive a mark of “0” for the activity in question. In the case of misconduct in more than one assessment activity, the students involved will be given a final mark of “0” for the subject. Students may not retake assessment activities in which they are found to have engaged in misconduct. Plagiarism is considered to mean presenting all or part of an author’s work, whether published in print or in digital format, as one’s own, i.e., without citing it. Copying is considered to mean reproducing all or a substantial part of another student’s work. In cases of copying in which it is impossible to determine which of two students has copied the work of the other, both will be penalised. Please see the documentation of the UAB about plagiarism on: http://wuster.uab.es/web_argumenta_obert/unit_20/sot_2_01.html.

Evaluation in case of face-to-face evaluation is not possible: In the event that tests or exams cannot be taken on site, they will be adapted to an online format made available through the UAB’s virtual tools (original weighting will be maintained). Homework, activities and class participation will be carried out through forums, wikis and/or discussion on Teams, etc. Lecturers will ensure that students are able to access these virtual tools or will offer them feasible alternatives.

On carrying out each evaluation activity, lecturers will inform students (on Moodle) of the procedures to be followed for reviewing all grades awarded, and the date on which such a review will take place.

Students will obtain a Not assessed/Not submitted course grade unless they have submitted more than 30% of the assessment items.

This subject/module does not incorporate single assessment


Evaluation of blocks

Projects II: Scientific communication: The final project of the module is compulsory in the Projects II block

The module's individual final assignment consists of an in-class practical test covering the structure, style, content, and citation of scientific texts. This test will take place during the final session of Projects II, and the exercises will assess the skills learned throughout the course. These skills prepare students for writing their Master's thesis (TFM).

Methodology for data analysis: The evaluation of the block will be carried out by means of a categorisation and coding exercise based on an example of an interview transcript by the teacher. The last part of the exercise will consiste of a projection of the object of study that motivated the interview on the basis of the themes an sub-themes (categories) identified. The systematicity, conherence and complexity ofthe analysis operations applied will be assessed.

Social Network Analysis: The evaluation of the course will be based firstly on the individual presentation on the virtual campus of each of the four practices carried out during the workshops. Secondly, participation in the sessions and the presentation through the virtual campus of a brief contribution to the subject studied will be taken into account. This contribution can be a text of 600 words or a presentation of a maximum of 10 minutes on these two questions: What conclusions have been drawn from the topics studied? What new applications are suggested?

International Migrations and processes of mixticity: In order to be assessed, attendance at least 80% of the sessions is required, as in the rest of the blocks. The course mark (50%) is obtained from a paper/essay where the relationship (similarities, differences, and open questions) between the case studies on mixedness discussed in class is critically examined, using the required and supplementary course bibliography as support. Document format: Word. length: min. 2.500 and max 3.000 (without Bibliography and Annexes). Typographical format: margins 2.5. Times 12 or Arial 11 font. 1.5 line spacing. Assessment criteria: Originality of the topic/issue addressed, Suitability of the course content and sources consulted, Organization and structure, level of writing and expression, Ability to identify key aspects and critical analysis.

Research laboratory: Classroom practice 40%, Oral presentation practice 50% and Participation activities 10%.


This subject allows the use of AI technologies exclusively for support tasks such as [***bibliographic or content-based searches, text correction or translations, where applicable]. In the case of subjects in a Modern Languages degree, use of translation must be specifically authorised by the teacher. Other specific situations may be contemplated, as deemed appropriate by the teacher.

The student must clearly (i) identify which parts have been generated using AI technology; (ii) specify the tools used; and (iii) include a critical reflection on how these have influenced the process and final outcome of the activity.


Lack of transparency regarding the use of AI in the assessed activity will be considered academic dishonesty; the corresponding grade may be lowered, or the work may even be awarded a zero. In cases of greater infringement, more serious action may be taken.

Bibliography

Adler-Lomnitz, Larissa (1975). Cómo sobreviven los marginados. Madrid: SigloXXI.


Adrienne E Strong, Tara L White, (2020) Using paired cultural modelling and cultural consensus analysis to maximize programme suitability in local contexts Health Policy and Planning. https://doi.org/10.1093/heapol/czz096


Anholt, Robert R. H. (2005). Dazzle 'em with style. The art of oral scientific presentations. Elsevier academic press: Burlington, USA


Ballestin, Beatriz, & Fàbregues Feijóo, Sergi (2018). Capítol IV a La práctica de la investigación cualitativa en ciencias sociales y de la educación. Editorial UOC.


Becker, Howard (2013). Manual de escritura para científicos sociales. Cómo empezar o terminar una tesis, un Siglo XXI; Edición 1


Bernard, Russell H. (2011). Research methods in anthropology: Qualitative and quantitative approaches. Plymouth, UK: Altamira Press.


Bjørkan, M. and Veland, S. (2019) Beyond concensus: perceptions of risk from petroleum developments in , Vestera˚len, and Senja, Norway. - ICES Journal of Marine Science, doi:10.1093/icesjms/fsz056.


Borgatti, Stephen. P., Everett, M. G., & Johnson, J. C. (2013). Analyzing social networks. Thousand Oaks, Calif.: Sage Publications.


Cea d’Ancona, Maria Angeles (2012). Fundamentos y aplicaciones en metodología cuantitativa. Síntesis, 377-384.


Gómez, Sílvia; Köpsel, Vera (eds.). (2022) Transdisciplinary Marine Research: Bridging Science and Society Ed. Routledge (Francis & Taylor Group).


Lubbers, Miranda. J., & Molina, J. L. (2013). El proceso de la reconstrucción de la red personal de los inmigrantes: una descripción longitudinal. Empiria. Revista de Metodología de Ciencias Sociales., 26, 63–88. https://doi.org/10.5944/empiria.26.7153


McCarty, Christopher & JL Molina. “Social Network Analysis”. In: Bernard, H. R., & Gravlee, C. C. (2014). Handbook of methods in cultural anthropology (Vol. 36). Lanham: Rowman & Littlefield. https://doi.org/10.5860/CHOICE.36-4846


Rodríguez-García, Dan (2026) “Rethinking mixed heritage in an era of superdiversity: interrogating post-racial interpretations of demographic change.” Ethnic and Racial Studies, 49 (13). https://doi.org/10.1080/01419870.2026.2653080


Rodríguez-García, Dan (2022) “The Persistence of Racial Constructs in Spain. Bringing Race and Colorblindness into the Debate on Interculturalism.” Social Sciences, 11(1):13. DOI: 10.3390/socsci11010013. https://www.mdpi.com/2076-0760/11/1/13


Root, Maria (1995) The Multiracial Experience: Racial Borders as the New Frontier. London: Sage.


Song, Miri (2009) “Is Intermarriage a Good Indicator of Integration?” Journal of Ethnic and Migration Studies, 35 (2): 331–348. https://www.researchgate.net/publication/248979348_Is_Intermarriage_a_Good_Indicator_of_Integration


Projects II


Smartt Gullion, Jessica (2016). Writing Ethnography . Rotterdam: Sense Publishers. Freely available (from campus) at https://link.springer.com/book/10.1007/978-94-6300-381-0


Sword, Helen (2012). Redactar etnografías: Stylish Academic Writing.


Ghodsee, Kristen (2016). Cambridge, MA: Harvard University Press.



Software

The programs and digital resources that we will use in the course will be communicated in the first class. All programs are installed or can be installed or accessed in the computer rooms.

Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching Group Language Semester Shift
(TEm) Theory (master) 1 Spanish second semester afternoon