A UK-Africa Data Science Network: Capturing the SKA-Driven Data Transformation

英国-非洲数据科学网络：捕捉 SKA 驱动的数据转型

• 批准号: ST/R001898/1
• 负责人: Anna Scaife
• 金额: $ 188万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FR001898%2F1
• 关键词: UK; Africa; Data; Science; Network

The programme will build a multi-institute big data research and training platform, between the South African and UK partner universities, that will establish sustainable links via a Data Science Network, led by academics and developed and refined in consultation with the user community. eResearch capacity is an absolute necessity in a world where the appropriate handling of big data, in the natural sciences, medicine, the humanities and the social sciences is of paramount importance. This program will support the development of research capacity in Big Data and Data Science in South Africa through the creation of a joint UK-SA training network which will form the basis of a long term sustainable research collaboration that has the potential to address issues of global concern.The program is designed to create a UK-SA Data Science Network to advance research and training in big data science. As a core tool to support the network and its programs we will develop and deploy an online portal gateway. Such cyber-infrastructure can be used both as a direct teaching resource, hosting MOOCs and other online material, as well as a research platform for data science and big data, hosting a data portal and collaborative work space. The program does not intend to build physical infrastructure, but will utilise capacity at existing facilities developed for data intensive research in conjunction with the SKA project in Africa.

该计划将在南非和英国合作大学之间建立一个多机构大数据研究和培训平台，该平台将通过数据科学网络建立可持续的联系，由学者领导，并与用户社区协商开发和完善。在自然科学、医学、人文和社会科学领域，适当处理大数据至关重要，电子研究能力是绝对必要的。该计划将通过创建英国-南非联合培训网络来支持南非大数据和数据科学研究能力的发展，该网络将构成长期可持续研究合作的基础，有可能解决全球问题该计划旨在创建英国-南澳数据科学网络，以推进大数据科学的研究和培训。作为支持网络及其程序的核心工具，我们将开发和部署在线门户网关。这种网络基础设施既可以用作直接教学资源，托管 MOOC 和其他在线材料，也可以用作数据科学和大数据的研究平台，托管数据门户和协作工作空间。该计划并不打算建设实体基础设施，而是利用现有设施的能力，与非洲的 SKA 项目一起进行数据密集型研究。

项目成果

BIG DATA FOR BETTER BREAST CANCER TREATMENT

大数据促进更好的乳腺癌治疗

• 发表时间: 2021
• 作者: Akuoko, E

Structured variational inference for simulating populations of radio galaxies

• DOI: 10.1093/mnras/stab588
• 发表时间: 2021-02
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: David J. Bastien;A. Scaife;Hongming Tang;Micah Bowles;Fiona A. M. Porter

Identification of patterns of tumour change measured on CBCT images in NSCLC patients during radiotherapy

• DOI: 10.1088/1361-6560/aba7d3
• 发表时间: 2020-11-07
• 期刊: PHYSICS IN MEDICINE AND BIOLOGY
• 影响因子: 3.5
• 作者: Amugongo, Lameck Mbangula;Osorio, Eliana Vasquez;McWilliam, Alan
• 通讯作者: McWilliam, Alan

PO-0932 Identification of modes of tumour changes in NSCLC during radiotherapy

PO-0932 放疗期间 NSCLC 肿瘤变化模式的识别

• DOI: 10.1016/s0167-8140(19)31352-0
• 发表时间: 2019
• 期刊: Radiotherapy and Oncology
• 影响因子: 5.7
• 作者: Amugongo L

Forecasting vegetation condition for drought early warning systems in pastoral communities in Kenya

• DOI: 10.1016/j.rse.2020.111886
• 发表时间: 2019-11
• 期刊: Remote Sensing of Environment
• 影响因子: 13.5
• 作者: A. Barrett;S. Duivenvoorden;Edward E. Salakpi;James M. Muthoka;J. Mwangi;Seb Oliver;P. Rowhani