Welcome to Phd course in Music Therapy research April 2025

The goal of the PhD course in Music Therapy research is to train doctoral students with theoretical, technical, methodological, and applied clinical research knowledge in the field of music therapy research in a way that assures scientific rigor. The 5 ECTS biannual courses includes a rich mixture of course work and aim to cover the following topics of learning: a) Reflexive methodology including data administration and data analysis, b) Objectivistic methodology including data administration and statistical analysis, c) Research ethics and reflexivity, d) Theory of science, and e) Academic writing and dissemination.

Teaching methods:

The working methods for the biannual courses consist of workshops, round table discussions, lectures, paper presentations from PhD students of research in progress with feedback from the professors and the peer group. The PhD courses are in English. Master’s level music therapy students are invited to guest teachers’ lectures. These presentations are marked with ► in the programme. The doctoral students’ presentations are only open to the group of doctoral researchers, professors, and invited guests. 

Pedagogically the doctoral program is informed by the principles of Problem Based Learning, offering strategies where the doctoral students learn through peer-reflections and collaborative peer learning and take the role for self-directed and self-regulated learning with problematization as an important driving force. By offering internal courses where the students work with the peer group, invited presenters and the supervisors, a cross-disciplinary and enriching learning community is created where ideas and problems are shared, and where learning has value at an academic as well as at a professional and personal level. The peer group consists of a majority of highly experienced music therapists, but also other professionals, and at all levels of their doctoral training. The newly enrolled students therefore learn from the peers who are at different stages of the research process.

Organizer:
Hanne Mette Ochsner Ridder, Aalborg University

Lecturers:

  • Hanne Mette Ridder
  • Stine Lindahl Jacobsen
  • Niels Hannibal
  • Bolette Daniels Beck
  • Charlotte Lindvang
  • Ulla Holck
  • Gustavo Gattino
  • Jens Anderson-Ingstrup
  • invited external lectures.

Description of assignment for the PhD course

After the course, it is required to submit a 5-page assignment to the course manager and PhD supervisor. The text format can be a reflexive journal including elements of free-writing and creative writing. It must include working title of the PhD research and research questions, and focus on how presentations, workshops, and discussions from the course are relevant for the participant’s research, and possibly how these elements align with article drafts or a draft for the linking text or the monograph.

Required:

Content

  • Relate your own research project to insights from the PhD course
  • Reflecting on presentations by PhD researchers or lectures or on literature presented at the course and suggesting what that brings perspectives to your reflections

Format

  • 5 pages
  • A title to the text
  • Mail to course manager and your supervisor

Programme:

TBA


ECTS:
5

Time:
TBA - April 2025

Place:
Musikkens Hus, Aalborg

Zip code:
9000

City:
Aalborg

Number of seats:
15

Deadline for enrolment:
TBA

Deadline for uploading of Paper:
TBA

Key literature:

TBA



Welcome to Explanatory modeling of observational quantitative data

"Explanatory modeling of observational quantitative data" is an applied course designed for PhD students in quantitative social sciences who wish to deepen their understanding and skills in working with observational quantitative data (e.g., non-experimental data). Causality is hard to establish with observational data, yet a theory-testing approach still forces researchers to formulate causal theoretical models to motivate their statistical choices. This course works with this tension in quantitative social science research and engages with applied recommendations for best practice. 

The first half-day of the course introduces directed acyclic graphs and discusses the need for causal reasoning for regression-based modeling.

The second half of day one is dedicated to further complexities emerging from interactive and non-linear hypotheses, introducing statistical packages to ensure valid inferences for these statistical scenarios.

The second day introduces ‘causal’ research designs to observational data, focusing on matching estimators and synthetic control methods. We compare these to regression-based approaches and discuss strengths and weaknesses. We end the second day with a Lab session that provides the chance to apply some of the content to your own research.   

The course expects a basic familiarity with quantitative methods (e.g. linear regression). The applied statistical teaching is done with R and students are recommended to have basic knowledge of R programming. Most of the course content, however, can also be followed with STATA (e.g, similar/same packages in STATA). Students are encouraged to bring their own research questions to the course and engage with potential inferential/modeling challenges in their field during the practical parts of the course.

Through a combination of lectures, practical exercises, and case studies, you will engage with current best practices in observational quantitative social science research. You will learn about the use of directed acyclic graphs. You will explore various statistical tools such as kernel or bin plots to assess the validity of linear interactive models. We will also touch upon more advanced machine-learning-based models, such as the Kernel Regularized Least Squares estimator, to uncover non-linear patterns in your data. Finally, you will be enabled to make informed choices of whether matching or synthetic control methods might be useful tools for your analysis.

By the end of the course, you will have a comprehensive toolkit of advanced statistical approaches to tackle complex research questions in quantitative social sciences. You will also gain the ability to critically evaluate existing literature and design rigorous empirical studies.

Teaching methods:

  • Lectures, practical exercises, and case studies
  • Applied programming with R
  • Illustration of the statistical approaches with real world cases and data
  • Opportunities to work with your own data during the course

Programme outline:

1st day

08:00-11:00 Directed acyclic graphs for regression-based analysis (lecture)

12:00-16:00 Interactive and non-linear hypotheses

2nd day

08:00-10:00 ‘Causal’ designs to observational data: Matching (lecture)

10:00-14:00: Presentations

14:00-15:00 ‘Causal’ designs to observational data: Synthetic control method (lecture)

15:00- 16:00 Questions

3rd day

08:00-09:00 Recap and Lab Session (lecture)

09:00-12:00 Questions

Description of paper requirements:

The final paper is a post-reflection paper that should be send to the teacher after the course. The paper should present the whole workflow of (1) a hypothesis, (2) acquiring and preparing the data to test it, (3) specifying and justifying the statistical model to test the hypothesis, and (4) assess the statistical validity of the findings.

The emphasis should lie on the last point (4), so students are encouraged to use readily available data, e.g. replicating existing studies proposing interactive relationships.

Organizer:

Dominik Schraff, Department of Politics and Society, Political Sociology

Lecturers:

Dominik Schraff, Department of Politics and Society, Political Sociology

ECTS:
3

Time:
21, 22, 23 May 2025

Place:
TBA

Zip code:
9220

City:
Aalborg

Number of seats:
15

Deadline:
30 April 20225

Key literature:

Spirling, A. & Stewart, B. M. (2024). What Good is a Regression? Inference to the Best Explanation and the Practice of Political Science Research. Journal of Politics, forthcoming.

Keele, L., Stevenson, R.T. and Elwert, F. (2020) The causal interpretation of estimated associations in regression models. Political Science Research and Methods, 8(1), pp. 1–13.

Hainmueller, J., Mummolo, J., & Xu, Y. (2019). How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice. Political Analysis, 27(2), 163-192.

Xu, Y. (2017) Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models. Political Analysis, 25(1), pp. 57–76.

Mandatory literature:

Spirling, A. & Stewart, B. M. (2024). What Good is a Regression? Inference to the Best Explanation and the Practice of Political Science Research. Journal of Politics, forthcoming.

 Keele, L., Stevenson, R.T. and Elwert, F. (2020) ‘The causal interpretation of estimated associations in regression models’, Political Science Research and Methods, 8(1), pp. 1–13. doi:10.1017/psrm.2019.31.

Hainmueller, J., Mummolo, J., & Xu, Y. (2019). How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice. Political Analysis, 27(2), 163-192. doi:10.1017/pan.2018.46

Giesselmann, M., & Schmidt-Catran, A. W. (2022). Interactions in Fixed Effects Regression Models. Sociological Methods & Research, 51(3), 1100–1127. https://doi.org/10.1177/0049124120914934

Beiser-McGrath, J., & Beiser-McGrath, L. (2020). Problems with products? Control strategies for models with interaction and quadratic effects. Political Science Research and Methods, 8(4), 707-730. doi:10.1017/psrm.2020.17

Brambor, T., Clark, W. R., & Golder, M. (2006). Understanding Interaction Models: Improving Empirical Analyses. Political Analysis14(1), 63–82. http://www.jstor.org/stable/25791835

Imai, K., Kim, I.S. and Wang, E.H. (2023), Matching Methods for Causal Inference with Time-Series Cross-Sectional Data. American Journal of Political Science, 67: 587-605. https://doi.org/10.1111/ajps.12685

Xu, Y. (2017) Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models. Political Analysis, 25(1), pp. 57–76.

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration aaauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.



Welcome to Studying immigration, solidarity and civil society in theory and practice

The PhD course Solidarity, migration and civil society in theory and practice offers participants the opportunity to discuss and reflect on their work within a theoretically guided framework on solidarity and civil society.

International crises like the economic crisis and refugee crises have led to new forms of participation and democratic practices in civil society. The notion of solidarity underpins such processes and experiments. There is a rich conceptual literature seeking to theorize such developments. The course will draw on recent conceptualizations offered by the course conductors, that describe solidarity as comprising five dimensions: 

Contentious: it shapes new forms of politics and political subjectification (Featherstone and Karaliotas 2018) which contest modes of exclusion and invisibilisation sustained by the hegemonic order of migration and refuge.

Emerging from moments of disruption or conjunctures: the acknowledgement of a crisis can allow for the articulation of political alternatives through solidarity practices (avoiding the risk of nationalist and xenophobic articulations).

Generative: it can generate new political subjectivities (Bauder 2016) and collective identities (new types of neighbourhoods, social classes, and even humanity as a political community).

Forging alliance-building: it enables the contact between different groups that creates a common ‘interest’ and goal, based on a mutually constitutive relationship.

Situated in space and time and articulating multi-scalar relations: solidarity takes place as relations in spaces, where identities and alliances are constituted, and connects with other spaces through trans-local connections and social imaginaries.

Getting a grasp on theoretical and methodological approaches for studying solidarity can help PhD students in understanding and analysing participatory processes at the local scale and help contextualise civil society organizing and mobilisation within such theoretical frameworks.  The course aims at providing tools for planning, doing, and reflecting on theoretical, methodological and analytical work on solidarity as a political practice in civil society at different scales, from urban to global. It is targeting Ph.D. students whose project engages theoretically and analytically with immigration, solidarity and civil society. Participants can come from a variety of disciplinary backgrounds, including, sociology, ethnography/anthropology, political science, discourse studies, human geography and field-specific areas such as critical migration studies.

Learning objectives

  • To obtain knowledge of basic and central features of solidarity and civil society from theoretical perspectives
  • To consider the balancing between analysis and theory building by exploring interdisciplinary approaches
  • To explore challenges of access, time, ethical issues, and reflexivity as to researcher engagement
  • To reflect on transformative and participatory processes of solidarity practices and the broader societal implications
  • To design analytical case studies investigating forms of solidarity in civil society and policy frameworks

Teaching methods:

The course will include an explicit focus on how solidarity and civil society can be studied in theory and practice, but the specific content of activities will be developed in the light of the participants’ profiles. Presentations and discussions on theories and methods will be supplemented with hands-on exercises and analyses of solidarity practices. During the course, all students will be involved in exercises to design and facilitate fieldwork, analysis, and critical reflections.

Description of paper requirements, if applicable:

Participants must register by … and hand in a paper for presentation at the course.  

Paper submissions are to focus on a theoretical and/or analytical reflection on solidarity and civil society within the individual PhD project. The course can include topics like urban solidarities, cosmopolitan practices, criminalisation of solidarity, municipal and civil society relations, and more.

As the presentations and workshop will depart in and consider the project stages of the participant, papers for the course (min. 5 pages) must be submitted beforehand (no later than… TBA). The papers will receive both oral and written feedback.

Time schedule

Day 1

09:00 – 10:00: Welcome and general introduction (Óscar García Agustín & Martin Bak Jørgensen)

10:00 – 11:00: Presentation 1: Conceptualizing Solidarity: Discourses, Imaginaries and Spatial Practices (Óscar García Agustín)

Solidarity, rather than a buzzword or a simple synonymous for good will, refers to the interactions and relations between individuals and groups and how they change identities and our understanding of society. Therefore, it is necessary to establish a clear framework to analyze solidarity when studying migration. In this presentation, three dimensions of solidarity will be introduced: discourse, both as representation and its performative effect; social and spatial imaginaries, to explore the communities that are imagined and the geographies that are enhanced; and spaces, as approach to the relations happening in place. The objective is to reflect on how these intertwined dimensions contribute to define solidarity and how relations and connections between migration and civil society develop.

11:00 – 11:15: Coffee

11:15 – 12:15: Workshop: Thinking solidarity in practice

12:15 – 13:00: Lunch

13:00 – 14:00: Student presentations

14:00 – 14:15: Break

14:15 – 15:15: Student presentations

15:15 – 15:30: Break

15:30 – 16:30: Student presentations

16:30 – 17:00: Concluding on the workshop theme of the day

18:30 – 20:30: Dinner in town


Day 2

09:00 – 10:00: Presentation 2: Studying networked forms of solidarity (Martin Bak Jørgensen)

This presentation investigates the functions played by sanctuary and solidarity cities. It addresses how they organize glocally (connecting the local and global scales) through establishing networks of sanctuary/solidarity cities. The presentation first defines the concepts of sanctuary and solidarity cities and their importance to strengthen progressive localism. Next it presents a framework to understand the relations between the local and global scales (as well as other scales) when organized in a networked form. I apply this framework on three cases that demonstrate the development of a plurality of types of networks of sanctuary/solidarity cities: Fearless Cities, World Social Forum on Migrations and Inclusive Cities, and Solidarity Communities. The presentation is concluded with reflections on the developmental potentials and limitations of these different networks of sanctuary/solidarity cities.

10:00 – 10:15: Break

10:15 – 11:15: Workshop on mapping solidarity networks

11:15 – 12:15: Student presentations

12:15 – 13:00: Lunch

13:00 – 14:30: Student presentations

14:30 – 15:00: Coffee

15:00 – 16:30: Student presentations

16:30 – 17:00: Concluding on the workshop theme of the day

18:30 – 20:30: Dinner at Innovate


Day 3

09:00 – 10.30: Presentation 3: Migrant solidarity and social struggles (Martina Tazzioli)

The approach of ‘Autonomy of Migration’ considers migrants as ‘autonomous’ (agents promoting their freedom of movement by questioning borders and shaping new sociospatial realities) rather than victims. From this perspective, the spatialization of solidarity must include temporality to connect political struggles with the collective memory of solidarity practices. Furthermore, solidarity needs to be reinscribed as well as within the ‘social fabric’ of social struggles to account for the formation of common everyday spaces, rather than reducing networks of solidarity to gestures of hospitality. Through this approach to migration and social struggles, solidarity practices are enacted in heterogeneous places as fields of struggle. Solidarity practices are, then, shaped by antagonistic relationships of alterity.

10:30 – 10:45: Coffee

10:45 – 11:45: Student presentations

11:45 – 12:30: Lunch

12:30 – 14:00: Student presentations

14:00 – 14:15: Break

14:15 – 15.15: Student presentations

15:15 – 15.30: Coffee and goodbye

Organizer:

Óscar García Agustín & Martin Bak Jørgensen, Culture and Learning, DEMOS


Lecturers:

Professor Óscar García Agustín, AAU
Professor Martin Bak Jørgensen, AAU
Associate Professor Martina Tazzioli, Università de Bologna

ECTS:
3

Time:
12, 13, 14 May 2025

Place:
TBA

Zip code:
9220

City:
Aalborg

Number of seats:
15

Deadline for enrolment:
22 April 2025

Deadline for uploading of Paper:
TBA


Key literature:

Agustín, Ó. G., & Jørgensen, M. B. (2024). Towards a global network of sanctuary or solidarity cities. In Handbook on migration and development (pp. 417-432). Edward Elgar Publishing.
Agustín, Ó. G., & Jørgensen, M. B. (2019). Solidarity and the 'refugee Crisis' in Europe. Springer.
Bauder, H. (2016). “Possibilities of urban belonging”. Antipode, 48(2), 252–271.
Bauder, H., & D.A. Gonzalez. (2018). “Municipal responses to ‘illegality’: Urban sanctuary across national contexts”. Social Inclusion, 6(1), 124–134.
Featherstone, D., & L. Karaliotas. (2018). “Challenging the spatial politics of the European crisis: Nationed narratives and trans-local solidarities in the post-crisis conjuncture”. Cultural Studies, 32(2), 286–307.
Kreichauf, R., & M. Mayer. (2021). “Negotiating urban solidarities: Multiple agencies and contested meanings in the making of solidarity cities”. Urban Geography, 42(7), 979–1002.
Kron, S., & H. Lebuhn. (2020). “Building solidarity cities: From protest to policy”. In Baban, F. & K. Rygiel (eds.) Fostering Pluralism Through Solidarity Activism in Europe (pp. 81–105). Palgrave Macmillan, Cham, pp. 81–105. 
Roth, L., & B. Russell. (2018). “Translocal solidarity and the new municipalism”. Roar, Autumn (8), 80–93.
Russell, B. (2019). “Beyond the local trap: New municipalism and the rise of the fearless cities”. Antipode, 51(3), 989–1010.
Schwiertz, H., & Schwenken, H. (2021). Introduction: inclusive solidarity and citizenship along migratory routes in Europe and the Americas. In Inclusive Solidarity and Citizenship along Migratory Routes in Europe and the Americas (pp. 1-19). Routledge.
Tazzioli, Martina (2014). Spaces of Governmentality. Rowman & Littlefield Publishers.

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration aaauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.