LISTEN

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LISTEN - Collaborative and Digital Analysis of Big Qual Data in Time Sensitive Contexts (LISTEN) method

LISTEN includes our interdisciplinary approach that connects the human insight of collaborative and participatory methods, and expertise in digital analysis software. In this project, we will consolidate this combination of methods and systematise our approach to analyse large sets of qualitative data as an invaluable source of data that answers the “how” and “why” in time sensitive contexts.

Project Summary

LISTEN consists of a multidisciplinary team of researchers from RREAL (UCL) and the Oxford Vaccine Group (Oxford University). We have developed the LISTEN method - ‘Collaborative and Digital Analysis of Big Qual Data in Time Sensitive Contexts’ funded by the MRC-UKRI under the scheme “Better methods, better research”. 

LISTEN includes our interdisciplinary approach that connects the human insight of collaborative and participatory methods, and expertise in digital analysis software. In this project, we have consolidated this combination of methods and systematized our approach to analyse large sets of qualitative data as an invaluable source of data that answers the “how” and “why” in time sensitive contexts. 

Our LISTEN method was developed by delivering 4 work packages (informing the LISTEN method using a systematic review; testing the LISTEN method; evaluating the LISTEN method; and developing the LISTEN manual).  

The aims of the project can be found below

  • To inform and refine a method for collaborative and digital rapid analysis of big qualitative data - a large amount of complex qualitative data that can be analysed using advanced methods or tools. 

  • To test the method with real datasets developed in the context of emergency responses.  

  • To evaluate method quality indicators and implementation requirements.  

  • To co-develop fidelity assessment tools, educational materials, and consolidate a network of experts, and to promote the use of this approach in a wide range of organisations and contexts.  

LISTEN project infographic PDF.

Should you be interested in this topic or wish to contribute with your expertise, please do not hesitate to get in touch with us.


Publications

  • LISTEN: BIG QUAL Innovations Symposium

    LISTEN:

    BIG QUAL Innovations Symposium

  • The Language of Poo: Talking About Crohn's and Colitis Symptoms in the UK. - Dr. Fran Harkness, Kohlrabi

    The Language of Poo: Talking About Crohn's and Colitis Symptoms in the UK.


    Dr. Fran Harkness,
    Kohlrabi

  • Destigmatising Abortion: Using Big Qual Findings to Foster Change. - Dr. Carrie Purcell, The Open University

    Destigmatising Abortion: Using Big Qual Findings to Foster Change.


    Dr. Carrie Purcell,
    The Open University

  • A Hybrid Approach to Media Discourse Analysis Combining AI with Human-in-the-Loop for Contextual & Performativity Considerations. Dr. Colette Casey from Queen’s University Belfast

    A Hybrid Approach to Media Discourse Analysis Combining AI with Human-in-the-Loop for Contextual & Performativity Considerations.


    Dr. Colette Casey,
    Queen’s University Belfast

  • Machine Assisted Topic Analysis (MATA) of open-ended survey responses reporting health and wellbeing during COVID-19 Dr. Emma Ward, University of East Anglia

    Machine Assisted Topic Analysis (MATA) of open-ended survey responses reporting health and wellbeing during COVID-19


    Dr. Emma Ward,
    University of East Anglia

  • Combining topic modelling, sentiment analysis, and corpus linguistics to analyse unstructured patient experience data: A case study of Modafinil experiences’. Dr. Julia Walsh, University of Warwick

    Combining topic modelling, sentiment analysis, and corpus linguistics to analyse unstructured patient experience data: A case study of Modafinil experiences’.


    Dr. Julia Walsh,
    University of Warwick

  • Exploring the Intersections between UK-centric Antivaccine Groups and Vaccine Hesitant Parents: A Comparative Content and Discourse Analysis -Kate Joynes-Burgess, University of Oxford

    Exploring the Intersections between UK-centric Antivaccine Groups and Vaccine Hesitant Parents: A Comparative Content and Discourse Analysis

    Kate Joynes-Burgess,
    University of Oxford

  • Big Qual Analysis: Working with qualitative integrity at scale Dr. Susie Weller, The University of Oxford

    Big Qual Analysis: Working with qualitative integrity at scale

    Dr. Susie Weller,
    The University of Oxford

  • The Qual Renaissance Dr. Francesco D’Orazio and Prof. Farida Vis, The Visual Social Media Lab

    The Qual Renaissance


    Dr. Francesco D’Orazio (Pulsar)
    Prof. Farida Vis
    (The Visual Social Media Lab)

  • Closing Remarks: A Reflection on Big Qual Research Associate Professor Sam Vanderslott, University of Oxford (Oxford Vaccine Group)

    Closing Remarks: A Reflection on Big Qual Research

    Associate Professor Sam Vanderslott,
    University of Oxford
    (Oxford Vaccine Group and Pandemic Sciences Institute)

Download Symposium Slides

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