5 research outputs found
Mapping the UK research & innovation landscape: Energy & development
The UK is already a major player in terms of research and innovation into low carbon transitions within the
countries of the developing world. However, there are significant opportunities for the UK to enhance its
presence within these markets whilst also making a major contribution to meeting international development
targets and climate commitments. At the core of the research analysed in the report is that it reflects disparate,
research initiatives funded with different research/innovation targets in mind; much latent strength in UK research for low carbon energy for development therefore is implicit in linkage possibilities enhancing
systemic effectiveness, particularly by cross-fertilizing innovations taking place in the private sector. Gaps and
weaknesses are reflected as much in the lack of collaborative initiatives and ‘siloization’ as in the absence of actual research/funding.
The Low Carbon Energy for Development Network (LCEDN) is currently taking the initiative in one aspect of this through the provision of a programme of capacity building and partnership activities to support the development of DfID’s Transforming Energy Access research initiative. What is required of UK energy for development research for the purposes of building a functional system, however, is that the discrete areas of research outlined in this report be re-assembled as coherent, overall research narratives addressing the apparent contradiction of increasing energy access whilst transitioning to the low-carbon economy.
Part of this work involves identifying the state and dynamics of UK research capacity in this sector, facilitating greater integration between research funders active in this area, evaluating gaps and key research needs and mapping potential future directions for research interventions and collaborations that build on, and develop,
existing UK research capacity. It is expected that this will lead to a range of UK-led energy innovations developed, tested and scaled across developing countries by 2020. The much-needed harmonization of energy access and low carbon transition as a UK research theme however has ultimately to be created out of rethinking research fields from a combination of existing research, plus demand known to be ‘out there’ but which has yet to enter the field of vision of research-funders.
This report presents the first part of this work with an overview of current UK research and innovation
capacity in a widely defined ‘Energy and International Development’ research area. It identifies key institutions and research centres, thematic areas of excellence, research funding trends over the last decade, emerging research themes plus an overview of grant funding for innovation on the ground. A number of key areas/questions for potential further development of UK research and innovation capacity have been identified and are up for discussion and consultation. The work has been undertaken by LCEDN in partnership with the Knowledge Transfer Network, Energy 4 Impact and IOD PARC
Description of participating households and individuals in each community.
∧<p>Values are median (IQR).</p>#<p>Individuals with unknown status (missing data) have not been included – denominator for calculation of percent is individuals with known values.</p>*<p>Significant difference between Community A and Community B (p<0.05), Wilcoxon Rank Sum test for continuous variables, Chi Square for categorical variables.</p>&<p>All cases diagnosed by Healthy Skin Worker (HSW).</p>+<p>In Community A, 13 cases diagnosed by HSW, 17 by family report. In Community B, 22 cases diagnosed by HSW, 13 by family report.</p
Multivariate GEE model of factors associated with individual treatment uptake among household contacts.
*<p>Significant association with individual treatment uptake.</p><p>OR odds ratio, CI confidence interval.</p
Comparison of confirmed incident cases and non-cases.
∧<p>Median (IQR).</p>*<p>Significant difference between confirmed incident case and non-case.</p><p>Note where there are individuals with unknown status, % has been calculated based on total individuals with known status.</p><p>N/A -point estimate and confidence intervals cannot be calculated due to nil value.</p
Reported treatment uptake among index children (A) and household contacts (B) in each community and in total.
<p>Denominator used in calculation of percentage includes individuals with unknown status.</p