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IM941-20 Adventures in Interdisciplinary Research: Knowledge, Practice, Values

Department
Centre for Interdisciplinary Methodologies
Level
Taught Postgraduate Level
Module leader
Celia Lury
Credit value
20
Module duration
10 weeks
Assessment
100% coursework
Study location
University of Warwick main campus, Coventry

Introductory description

In an increasingly complex and changing world, researchers inside and outside the academy are constantly facing challenges that require collaborating and thinking across and beyond disciplinary boundaries. Interdisciplinary skills are said to improve not only creativity and critical thinking but also academic performance and employability. But what is interdisciplinarity?

The module will combine an introduction to a range of theoretical and methodological approaches to interdisciplinary research with a critical evaluation of the challenges and advantages of working across and in-between disciplines and practices through the discussion of cases and examples.

Module aims

On completion of this module, students should be able to:

  • Describe and identify the value of interdisciplinarity for contemporary research;
  • Demonstrate an understanding of the history of inter-disciplinarity;
  • Distinguish interdisciplinarity from trans- and multi-disciplinarity;
  • Demonstrate knowledge of a range of creative and innovative approaches to interdisciplinary research;
  • Critically reflect upon the relevance of interdisciplinary skills to implement collaborations in professional, practitioner and academic contexts.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Lecture themes:

Week 1: What is a discipline? What is interdisciplinarity? Histories of interdisciplinarity in theory and practice

Week 2: Changing knowledge infrastructures, the knowledge economy and the internalization of science by society. A critical consideration of problem spaces, wicked problems, the politics of openness, and the politics of collaborative research and the participatory condition.

Week 3: Inter-, multi-, cross-, trans–interdisciplinary research, and the politics of interdisciplinarity

Week 4: Questions of methodology, epistemology, ethics and practice – including geo-politics of methodology

Weeks 5-9 (Week 6 – reading week)
Explorations of key concepts or ‘ways of knowing’ in the Masters’ programmes in CIM as forms of interdisciplinary research. Examples might include: participation, the environment, mapping, sound, personalisation, complexity, AI, trust, interface design.

Week 10
Conclusion: What are the values of interdisciplinarity?

Learning outcomes

By the end of the module, students should be able to:

  • Take initiative in their own learning.
  • Design and develop a structured essay plan.
  • Think critically about a particular area of study.
  • Systematically evaluate and synthesise research in a particular area of study.
  • Demonstrate their learning through a written and structured essay.

Indicative reading list

Reading lists can be found in Talis

Research element

Students will need to conduct a literature search to complete the assessment. They will also need to develop an original analysis of this literature.

Interdisciplinary

The subject of the module is interdisciplinarity, and will provide students with knowledge about different (inter-)disciplinary approaches to interdisciplinarity.

International

The approaches to interdisciplinarity discussed will include those that situate interdisciplinarity in relation to different national cultures of research, as well as considering the challenge to conducting international research, including those relating to language, data protection and issues of epistemic authority.

Subject specific skills

An advanced understanding of the values and practice of interdisciplinary research that will enable students to evaluate different claims to knowledge.

Transferable skills

An advanced understanding of different approaches to interdisciplinary practice that students can apply to conducting research in diverse social, disciplinary and professional contexts.

Study time

Type Required
Lectures 5 sessions of 1 hour (6%)
Seminars 5 sessions of 1 hour (6%)
Practical classes (0%)
Other activity 12 hours (15%)
Private study 58 hours (72%)
Total 80 hours

Private study description

Students will be expected to prepare for seminars and workshops, and this will involve reading a couple of articles or chapters per week and/or preparing short reports. Students will be required to participate in group discussions and to use the readings to contribute to group work. They will also need to prepare assessment.

Other activity description

Workshops, with supervised group activity.

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Assessment group A1
Weighting Study time Eligible for self-certification
Assessment component
Essay topic to be approved by tutor 80% 80 hours Yes (extension)

An essay on a topic related to their Masters programme, approved by the tutor to demonstrate the challenges of interdisciplinary research.

Reassessment component is the same
Assessment component
Why interdisciplinarity matters today, for who and why? 20% 40 hours Yes (extension)

A review and critical evaluation of the value of interdisciplinary research in today's knowledge society

Reassessment component is the same
Feedback on assessment

Verbal feedback provided in class and feedback hours; written feedback on formative and summative assessment.

Courses

This module is Optional for:

  • Year 2 of TIMS-L990 Postgraduate Big Data and Digital Futures
  • TIMA-L995 Postgraduate Taught Data Visualisation
    • Year 1 of L995 Data Visualisation
    • Year 2 of L995 Data Visualisation
  • TIMA-L99A Postgraduate Taught Digital Media and Culture
    • Year 1 of L99A Digital Media and Culture
    • Year 2 of L99A Digital Media and Culture

This module is Option list A for:

  • Year 1 of TIMS-L990 Postgraduate Big Data and Digital Futures