auto_awesome_motion View all 12 versions


The Open University
Country: United Kingdom
Funder (3)
Top 100 values are shown in the filters
Results number
804 Projects, page 1 of 161
  • Funder: UKRI Project Code: RES-155-25-0046
    Funder Contribution: 165,327 GBP
    Partners: OU

    Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

  • Funder: UKRI Project Code: ES/N012224/1
    Funder Contribution: 366,662 GBP
    Partners: OU

    This project on research methods addresses the UK social science community's need to gain a better understanding of how participatory action research approaches engage marginalised groups in research as co-producers of knowledge. It combines walking methods and participatory theatre to create a space for exploring, sharing and documenting processes of belonging and place making that are crucial to understanding and enacting citizenship. Participatory Action Research, based on the principles of inclusion, valuing all voices and action-oriented interventions allows for engaging marginalized groups into research as a citizenship practice. By doing so the project meets the aims of NCRM's methodological initiative and the interest shown by social science researchers to address the methodological problems associated with researching hard to reach communities. It also responds to the ESRC's thematic priorities 'Influencing Behaviour' and 'A Vibrant and Fair Society'. The project is original by creating a model for bringing together practitioners and marginalized groups to engage with each other through creative methods and innovates by developing a toolkit for training social researchers in walking stories and theatre. The project develops methods and methodological knowledge of participatory theatre and walking methods through three well integrated strands of (i) participatory methods with migrant parents' and young people on intergenerational communication (ii) co-production through participatory methods with families with no recourse to public funds in conversation with policy-practice; and, (iii) building upon this, developing training tools for social science researchers using participatory theatre and walking methods with marginalised communities. This participatory arts based research will be undertaken in collaboration and consultation with a theatre practitioner, Counterpoints Arts and the Runnymede Trust. Three core strands combine to achieve these aims: Strand 1: Generating Research Data - explores the potential of participatory methods for generating new methodological datasets and insights into migrant families' intergenerational relations. It combines 3 walking story sessions, to produce visual data which will initiate the theatre scenes in the following 8 participatory theatre sessions with two groups: migrant parents and young people. A day-long Learning Lab in collaboration with Counterpoints Arts helps to produce digital resources on the value of these methods for research with marginalized groups. Strand 2: Co-production Engagement with Policy-Practice - focuses on potential and pitfalls of the participatory theatre and walking stories methods for engaging policy-practice and marginalized participants in the co-production of knowledge around the specific policy issue of NRPF, a policy restricting migrants' participation in society. Families affected by NRPF will participate in the walking stories and participatory theatre, particularly the technique of 'legislative theatre'. In collaboration with Runnymede Trust we will produce a multimedia briefing pack on the value of these methods to policy-practice. Strand 3: Training for Researchers in Walking Stories and Participatory Theatre - The resources and materials developed in strand 1 and 2 will be used to develop a toolkit and courses for training social science researchers, benefitting the wider social science research community. Training and capacity building is integral to the project. The outputs will leave a legacy beyond the duration of the project. In addition, to delivering training through the project strands above, the team will contribute training workshops/sessions through NCRM's programme of events and the Research Methods Festival, the project website will give access to multimedia training and briefing materials for social researchers and practitioners and policy makers working with marginalized groups.

  • Funder: UKRI Project Code: NE/P019331/1
    Funder Contribution: 108,417 GBP
    Partners: OU

    The Earth's climate is currently changing rapidly, primarily due to emissions of greenhouse gases caused by human industrialisation. These emissions are projected to increase through this century, and under some scenarios atmospheric carbon dioxide (CO2) concentrations could reach more than 1000 parts per million (ppm) by the year 2100, compared with 280 ppm prior to industrialisation. In order to predict the sociological, environmental, and economic impacts of such scenarios, and thus to better prepare for them, the only tool at our disposal is climate modelling. In order to assess our confidence in predictions from climate models, they are routinely tested under conditions of known climate. However, this testing (and associated tuning of the models) is almost exclusively carried out under modern climate conditions, and relative to recently observed climate change, for which CO2 concentrations are less than 400 ppmv. As such, our state-of-the-art climate models have never been tested under the high CO2, super-warm climate conditions to which they are primarily applied, and upon which major policy decisions are made. However, there exist time periods in Earth's deeper past (for example the Eocene, about 50 million years ago) when CO2 concentrations were similar to those expected by the end of this century; but climatological information from these time periods is currently sparse and is associated with large uncertainties, and the exact concentrations of CO2 are only poorly known. Recent changes in our understanding of how the geological record preserves climate signals, and developments in laboratory techniques, mean that for the first time there exists a new and exciting opportunity to remedy this situation and provide a much-needed evaluation of our very latest climate models in a super-warm world. In SWEET, we will apply these emerging techniques, and develop new methodologies and tools, to produce a global dataset of Eocene temperatures. Coupled with new and high-fidelity reconstructions of Eocene CO2 concentrations, and state-of-the-art maps of the 'palaeogeograpy' (continental positions, mountain ranges, ocean depths etc.), we will use this dataset to test a state-of-the art climate model under high atmospheric CO2, Eocene conditions. The model, UKESM, is identical to that being used by the UK Met Office in the international 'CMIP6' project, which itself will be the primary input to the next Intergovernmental Panel on Climate Change (IPCC) assessment report. We will also use our data and additional model simulations (running at high spatial resolution) to investigate the relative importance of the various mechanisms which determine the response of the Earth system to high CO2 and to changes in palaeogeography. A characteristic of SWEET is that we will take full account of uncertainties in the geological data and the modelling, and our model-data comparisons will be underpinned by a statistical framework which incorporates these uncertainties. We will also adopt a 'multi-proxy' approach by using several independent geological archives to reconstruct temperature. For one of these archives, namely the oxygen isotopic composition of the fossilised shells of microscopic marine creatures from the Eocene, we will apply a particularly innovative approach which will enable us to 'resurrect' previously discredited data, by using an extremely fine-scale 'ion probe' to investigate how these isotopic signatures of past climate change are recorded in individual fossils. SWEET has strong links to UK Met Office, and to the international DeepMIP project, which is part of the 'Palaeoclimate Modelling Intercomparison Project', itself part of CMIP6. We expect our results to feed into the next IPCC assessment reports and therefore to ultimately inform policy.

  • Funder: UKRI Project Code: ES/I903801/1
    Funder Contribution: 34,658 GBP
    Partners: OU

    Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

  • Funder: UKRI Project Code: DT/E010350/1
    Funder Contribution: 314,888 GBP
    Partners: OU

    SILVER will develop new methods, tools and applications for knowledge visualisation in learning. The R&D addresses the creation of intelligent learning objects with semantic metadata, reasoning about complex situations, the visualisation of domain knowledge and knowledge structures. The authoring and delivery environment will exploit interactive whiteboards for knowledge visualisation, and online PCs & mobile devices for input, interaction and personalised access. It will deliver semantic-based visualisation of the community's knowledge, goals, reasoning, usage & assessment, and online presence. The project partners will produce a toolkit for building Visual Interactive Presentations with semantic reasoning and visualisation, and exemplary applications for education and business training. SILVER will enable future development of learning resources, knowledge visualisation and reasoning in educational, training, corporate and consumer use.