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      "default_currency":"GBP",
      "default_lang":"en",
      "iati_identifier":"GB-GOV-13-GCRF-IP-C3-02-EO4SAS",
      "reporting_org_ref":"GB-GOV-13",
      "reporting_org_type_code":"10",
      "reporting_org_narrative":["DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY"],
      "title_narrative":["EO4SAS: Earth Observation for Sustainable Aggregate Supply"],
      "description_narrative":["In Kenya, unmanaged extraction of sand and aggregates has potentially serious long-term and wide-ranging impacts.  The EO4SAS project provided Kenya with an understanding of the sand extraction within the country, together with demonstrating the role Earth Observation (EO) data could play in monitoring this activity alongside ideas on how the country might improve the management of its sand resources.   \n\nThe final service aims to deliver comprehensive sand management system combining an EO satellite data monitoring tool underpinned by a resource management and governance toolkit; providing insights into sand extraction sites and rates, flows to market, environmental changes associated with extraction activities, best practice policies and procedures.  \n\nThis will provide Kenya with a solution to improve the monitoring and regulation of sand extraction, supporting progress towards sustainable sand management","The EO4SAS Discovery Phase successfully demonstrated the feasibility of using EO techniques as the basis of a sand management system in Kenya together with understanding the potential usability and acceptance of such a service. \n\nThe project documented the sand management context, landscape and user needs in Kenya, through a combination of desktop research and in-country (virtual) stakeholder engagements. \n\nWhilst nationally, like most other countries, sand is not considered a strategic resource, however, at a county level it is considered of great importance – although the maturity of the sand management regimes varies from county to county.  \n\nIn parallel, the project explored potential user needs for an EO-based sand extraction monitoring solution with national and local stakeholders using user-centred design techniques and rapid prototyping to develop a set of clear using requirements. The project also developed, implemented and tested a number of demonstrator products using EO satellite data to meet the user needs"],
      "participating_org_ref":["GB-GOV-13","GB-GOV-13","GB-GOV-EA31"],
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      "default_lang":"en",
      "iati_identifier":"GB-GOV-13-FUND--GCRF-EP_T003650_1",
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      "reporting_org_narrative":["DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY"],
      "title_narrative":["Mathematical Modelling for Infectious Disease Dynamics and Control in East Africa (MMIDD-EA)"],
      "description_narrative":["Computer-based mathematical modelling of infectious diseases is an essential tool to understanding how diseases spread. They can also be extremely useful in designing effective control strategies and policies. The East Africa region is a hotspot for emerging and endemic diseases caused by bacteria and viruses, including those spread from animals to humans (known as zoonoses). Despite the potential for mathematical modelling to address public health challenges in the region and the availability of relatively cheap computing power and free programming platforms, these skills are rarely applied by academics and researchers in low and middle income countries. Instead modelling work is done by researchers from high income countries and often for diseases threatening global health such as epidemics caused by the Ebola virus. We aim to develop a network of East-African based mathematical modellers to build skills and capacity so that this work can be performed for priority infectious diseases in the region and by local researchers, who have a superior understanding of the social, economic, geographic and political context of infectious disease spread and control.  To do this we will organise three activities. First, we will develop and run an intensive short-course in mathematical modelling of infectious disease dynamics for 20 people in Kenya. Applications will be sought from researchers based in East Africa with skills in mathematics and an interest in quantitative approaches to infectious disease dynamics and control in humans and animals. A competitive selection procedure will prioritise candidates with both institutional support and defined modelling projects relevant to the region to carry forward. The course will be based upon the well-established and highly regarded Mathematical Modelling of Infectious Disease Dynamics residential course supported by the Wellcome Trust, led Dr Andrew Conlan (University of Cambridge) and modified to be appropriate to the needs identified in East Africa. The course will have a strong emphasis on building practical skills using the free software R and Rstudio, and focussed on infectious diseases that are important in the region.  Second, five fellowships will be awarded to course attendees to enable them to further develop their skills. Each fellow will be matched to a mentor from the University of Cambridge or the broader course faculty (drawn from across the UK and Africa) who will work with them to develop their skills and collaborate on a selected modelling projects. The fellows will have the opportunity to spend up to 3 months in Cambridge (or other UK Institute, as befits their project and development needs) as well as the opportunity to spend time at the University of Nairobi and interact with their cohort. Third, we will support the development of an East African infectious disease modelling network, by linking with other complementary initiatives in the region. This will increase the self-reliance of the cohort and help to sustain further capacity building.","The Global Challenges Research Fund (GCRF) supports cutting-edge research to address challenges faced by developing countries. The fund addresses the UN sustainable development goals. It aims to maximise the impact of research and innovation to improve lives and opportunity in the developing world."],
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      "iati_identifier":"GB-GOV-13-FUND--GCRF-EP_T003677_1",
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      "title_narrative":["A capacity-building platform for advancing biostatistics in Ethiopia, Kenya and Malawi"],
      "description_narrative":["The overarching goal of this proposal is to develop a self-sustaining capacity building platform for advancing biostatistical methodology research in Kenya, Malawi and Ethiopia.  The grant will sponsor six training fellowships for full-time employed researchers in biostatistics at the Kenya Medical Research Institute Wellcome Trust Research Programme (KEMRI-WTRP) in Nairobi and Kilifi (Kenya), the Malawi-Liverpool Wellcome Trust Clinical Research Programme (MLW-CRP) in Blantyre (Malawi) and the Department of Statistics of Hawassa University in Ethiopia. The rationale for our chosen partners is that Hawassa has a strong postgraduate programme in statistics while KEMRI-WTRP and MLW-CRP provide applied biostatistics environments linked to  substantive public health context and expertise.   The six Fellows will be placed in Lancaster University and Cambridge University for the duration of 12 months and will work on the development of advanced statistical methodology motivated by three substantive global health problems. The programme will enable the Fellows to operate as integral members of multi-disciplinary research teams by further development of their expertise in biostatistics, skills in teaching of statistical subjects and their ability to develop high-quality documented statistical software.  The specific activities of this proposal are the following. Training courses in geospatial statistical methods and mathematical modelling of infectious diseases will be delivered by Lancaster and Cambridge. These courses will be tailored to the specific needs and projects of each Fellows. During the programme, the Fellows will also design new courses in statistics to be delivered at their respective institutes after completion of the project. This will be carried out in collaboration with the PI and CIs who will provide high quality support in the creation of new teaching material and educational statistical software. The core spirit of this programme is of a continuous and strong interaction between the Fellows and the investigators, who will act both as project supervisors and mentors.","The Global Challenges Research Fund (GCRF) supports cutting-edge research to address challenges faced by developing countries. The fund addresses the UN sustainable development goals. It aims to maximise the impact of research and innovation to improve lives and opportunity in the developing world."],
      "participating_org_ref":["GB-GOV-13","GB-GOV-EPSRC-12345","GB-GOV-EPSRC-12345"],
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      "participating_org_narrative":["DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY","ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL","ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL","LANCASTER UNIVERSITY"],
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      "contact_info_email":["enquiries@odamanagement.org"],
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      "title_narrative":["GCRF Global Health and Clean Water Network"],
      "description_narrative":["Summary The GCRF Health, Polluted Water and Soils Network of excellence is focused on reducing health problems relating to water and soil pollution in climate-stressed, rural and deprived urban communities in Kenya, Jamaica and Grenada. We aim to achieve this by focusing on affordable and innovative technological and sociological solutions to improve access to clean water, healthy and productive soils and safe, nutritious foods. The network is based on a One Health interdisciplinary, approach, with a growing membership drawn from academic researchers, business leaders, entrepreneurs, health and environmental professionals, government officials, science policy diplomats, community leaders, and civil society and a commitment to grow. Our goal is to build a network of committed individuals, who will work together to solve problems together and will get better at getting things done.  Network members will engage in a two-year programme of innovative, interconnected activities, designed to facilitate and enrich the exchange of knowledge, ideas and praxis, build capacity, and help early and mid-career academic participants to connect with the wider community and forge long-lasting, interdisciplinary collaborations and partnerships. The activities include a series \"big-tent\" settings including: country-based Knowledge Networks in which entrepreneurs and business will be encouraged to bring new ideas and thinking about social enterprise and for-profit schemes into the network on how to deliver change;  Round-tables for diverse groups to \"think out of my box\" and develop pathways for realising solutions;  on-line Communities of Practice to enable everyone to gain a strong understanding of the issues, evidence and potential solutions through moderated conversations;  Workshops and co-laboratories, that will give members and stakeholders the opportunity to co-design innovative ways to improve health through affordable and innovative technological and sociological solutions and improved access to clean water and soils;  Demonstration activities and Outreach in local communities to heighten awareness of impacts on health from polluted water and soils and solutions;  two Global Digital Conferences which will include on-line presentations, chat groups, interactive sessions, and hackathons, to give network members the opportunity to demonstrate how different issues are being tackled;  open access e-learning courses and training webinars on key issues leading to University certification; and an International conference to be held at the Eden Centre, UK to present the outcomes and ideas from the network, consolidate new collaborations and future actions.   Some of the measurable outcomes will include improved health in selected communities Grenada, Jamaica and Kenya through greater access to clean water, soils and safe, nutritious foods; lasting partnerships and interdisciplinary collaborations able to exploit opportunities for joint research proposals, business propositions and social enterprise; and increased skills and capacities to solve challenges linked to health, climate change and pollution through collaborative and participatory methods. The results of the network's activities will be disseminated widely through the network's website, social media and academic publications, and shared in detail with the UKRI and the Global Challenge Leaders.   The hallmarks of success will be a network that has developed its own compass for working with complexity, enjoys \"big-tent settings for joined-up action\", and whose membership gets better at getting things done by finding power and using it.","The Global Challenges Research Fund (GCRF) supports cutting-edge research to address challenges faced by developing countries. The fund addresses the UN sustainable development goals. It aims to maximise the impact of research and innovation to improve lives and opportunity in the developing world."],
      "participating_org_ref":["GB-GOV-13","GB-GOV-EPSRC-12345","GB-GOV-EPSRC-12345"],
      "participating_org_role":["1","2","3"],
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