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      "title_narrative":["Statistics and Data Science training to build research capacity to address societal problems in Mongolia"],
      "description_narrative":["Mongolia is a developing country that is large in area but small in population. Since the fall of communism, Mongolia has experienced difficulty in developing both an effective civil service and a university system that generates the expertise to solve the problems of a modern society. Much information is gathered but institutions and stakeholders lack the experience to extract knowledge from this data and use it effectively in the public interest. We propose a programme of workshops that will train Mongolian academics, civil servants and other stakeholders in the use of statistics, machine learning and data science. The programme will be customised to work on some of the current most pressing Mongolian social challenges, using real data accumulated by Mongolian public institutions. This will ensure that the technical knowledge shared is not abstract but applied with the potential for immediate impact on Mongolian society.  The programme will have 4 stages.   In the first stage we will scope out the problems and assemble the data. We have the advantage of our prior collaborations with Mongolia which will already offers a head start.  We follow this in the second stage with a two week session of instruction in the capital of Mongolia, Ulaanbaatar. This will be given by expert academics with the support of well-trained doctoral students. The instruction will be highly interactive using modern teaching techniques to accommodate for the diversity in previous experience of participants as well as diversity in English language ability. Graduate students from the University of Bath will play a significant role in teaching and interacting with the Mongolians as they learn. The team has previous experience in delivering similar activities to civil service data scientists at the Paraguayan Ministry of Development. Best practice from this context will be integrated into the delivery in Mongolia.   In the third stage, four leading Mongolian stakeholders will visit Bath for a week to attend one of Bath's innovative Integrative Think Tanks (ITT). The latter is a unique interactive research training workshop that has been developed and already used multiple times for Bath's EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa). Such workshops are based around the principle of taking real world challenges in industry, or in this case, the public sector, and, through a tried and tested process of facilitation, distilling out well-formulated mathematical research questions that can move forward into an active and collaborative research projects.   The ITT in Bath will use as its starting challenges the specific Mongolian data and societal problems described earlier. This will also involve a larger number of Bath academics and (SAMBa) graduate students who will contribute to and learn from the aforementioned process of distilling out tangible mathematical questions. Having run nine ITTs, and with the accolade of generating manifold new research projects with accompanying funding support, the Department of Mathematical Science at Bath has a strong track record in the delivery of ITTs.   The final stage will be a week long visit back to Ulaanbaatar to further advance the research agenda on the Mongolian problems by feeding them back into an ITT attended by a wide spread of Mongolian stake-holders together with Bath academics and doctoral student.   Throughout, we will be in electronic communication with our Mongolian partners to advance the instruction and progress on research.  At the end of the programme, we will have trained a group of Mongolian academics and civil servants in statistics and data science. We will have advanced understanding on a range of Mongolian problems using their data. Knowledge will be transferred in that the academics will be able to pass it on to their students and the civil servants will have developed data-driven policy making skills.","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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      "planned_disbursement_provider_org_narrative_text":["Department for Business, Energy and Industrial Strategy"],
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      "iati_identifier":"GB-GOV-13-OODA-EPSRC-M3PKNFM-4HCEC5Y-9CEYZHR",
      "reporting_org_ref":"GB-GOV-13",
      "reporting_org_type_code":"10",
      "reporting_org_narrative":["DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY"],
      "title_narrative":["UKRI COVID-19 Grant Extension Allocation (CoA) - London School of Hygiene & Tropical Medicine"],
      "description_narrative":["The UKRI COVID-19 Grant Extension Allocation (CoA) provided organisations with resources to sustain UKRI grant-funded research during the period of pandemic disruption and its immediate aftermath. Some of the funding was directly used supporting the following ODA-eligible grants at London School of Hygiene & Tropical Medicine: MR/N006135/1; \nMR/P006949/1; \nMR/T003952/1; \nMR/R006148/1; \nMR/N006070/1; \nMR/R006075/1; \nMR/R006121/1; \nMR/T003995/1; \nMR/P006876/1; \nMR/S005293/1; \nMR/T003200/1; \nMR/R022186/1; \nMR/R022127/1; \nMR/S004971/1; \nMR/T003677/1; \nMR/N023692/1; \nMR/R006083/1; \nMR/R021392/1; \nMR/T038292/1; \nMR/J000175/1; \nMR/R020876/1; \nEP/T029315/1; \nMR/R022755/1; \nMR/R02118X/1; \nMR/S023712/1; \nMR/R022194/1; \nMR/R006040/1; \nMR/S023275/1; \nMR/P017568/1; \nMR/S004394/1; \nMR/M021157/1; \nMR/R001871/1; \nMR/S023607/1; \nMR/R023182/1; \nMR/R002827/1; \nES/S005196/1; \nMR/R022208/1; \nMR/S023860/1; \nMR/S013016/1; \nMR/P014429/1; \nMR/R013454/1; \nMR/T02349X/1; \nMR/R022828/1.","Research and development activity contributing to the UK’s strategy to address key development challenges."],
      "participating_org_ref":["GB-GOV-13","GB-GOV-EPSRC-12345","GB-GOV-EPSRC-12345"],
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      "contact_info_website":["https://www.gov.uk/government/publications/beis-official-development-assistance-research-and-innovation"],
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      "default_lang":"en",
      "iati_identifier":"GB-GOV-13-GCRF-IP-C1UKSA-008",
      "reporting_org_ref":"GB-GOV-13",
      "reporting_org_type_code":"10",
      "reporting_org_narrative":["DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY"],
      "title_narrative":["Short Study Call - EO Sphere - Mongolia"],
      "description_narrative":["International Partnership Programme (see Programme details section for individual project summaries)","To build a consortium and to refine the requirements for a project (siiMON) that will be submitted to the IPP Open Call in September.\nOverall aim of siiMON will be to improve services for monitoring environmental factors, which will feed into the Index Based Livestock Insurance scheme, which has been successfully implemented in Mongolia to build resilience into this important component of their economy, which otherwise can be devastated by averse meteorological conditions."],
      "participating_org_ref":["GB-GOV-13","GB-GOV-13","GB-GOV-EA31"],
      "participating_org_role":["1","2","3","4"],
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      "participating_org_narrative":["DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY","DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY","UK SPACE AGENCY","EOSPHERE LIMITED"],
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      "contact_info_email":["enquiries@odamanagement.org"],
      "contact_info_website":["https://www.gov.uk/government/publications/beis-official-development-assistance-research-and-innovation"],
      "contact_info_mailing_address_narrative":["Department of Business, Energy and Industrial Strategy, 4th Floor, 1 Victoria Street, SW1H 0ET"],
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      "budget_type":["1"],
      "budget_period_start_iso_date":["2016-04-01T00:00:00Z"],
      "budget_period_end_iso_date":["2017-03-31T00:00:00Z"],
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    },{
      "default_currency":"GBP",
      "default_lang":"en",
      "iati_identifier":"GB-GOV-13-GCRF-UKSA_MN_UKSA-16",
      "reporting_org_ref":"GB-GOV-13",
      "reporting_org_type_code":"10",
      "reporting_org_narrative":["DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY"],
      "title_narrative":["SIBELIUs: Improved resilience for Mongolian herding communities"],
      "description_narrative":["Mongolia is a large country with ~30% of its population dependant on livestock herding who are exposed to extreme weather events (dzuds), which are increasingly exacerbated by climate change and are highly damaging to Mongolia’s economy and devastating for the poorest herders. A typical dzud can impact millions of herders many of who will lose all their livestock leaving them in extreme poverty, with associated impacts for the wider economy. \n\nSIBELIUs will provide greater dzud-resilience for herders by providing NAMEM1  with improved capacity (new sources of satellite data, plus a geo-spatial database) for distributing new and upgraded environmental products to key stakeholders supporting herding communities. A key aspect of the project is to channel the benefits of improved products through three existing networks: (1) the Mongolian IBLI2 scheme (2) Otor Grazing Reserves which provide emergency grazing for use in dzuds (3) NAMEM’s existing network of regional centres.  \n\nThe project’s impact will be measured directly by the number of herders covered by the IBLI scheme (a readily available statistic) and the dzud-resilience of herders in three test sites, where requirements gathering will also be conducted. Increasing dzud-resilience will directly impact SDG1.5 and SDG13.1. \n\nNAMEM are committed to supplying the SIBELIUs service beyond the project’s UKSA funding, therefore providing a long-term sustainable solution.\n\nThis activity benefits Mongolia and Kyrgyzstan.","Dzuds are increasingly exacerbated by climate change and are highly damaging to Mongolia's economy and devastating for the poorest herders. A typical dzud can impact millions of herders, many of who will lose all their livestock leaving them in extreme poverty, with associated impacts for the wider economy. The SIBELIUs project will provide greater dzud-resilience for herders by providing the Mongolian Research Institute of Meteorology, Hydrology and Environment with new sources of satellite data, plus a geo-spatial database for distributing new and upgraded environmental products to key stakeholders supporting herding communities."],
      "participating_org_ref":["GB-GOV-13","GB-GOV-13","GB-GOV-EA31"],
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