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The Social Analytics Strategic Network (SASNet), a joint proposal by UBDC (Glasgow) and BLG DRC (Essex) focussing on capacity-building in Big Data.

The Social Analytics Strategic Network (SASNet), a joint proposal by UBDC (Glasgow) and BLG DRC (Essex) focussing on capacity-building in Big Data.
社交分析战略网络 (SASNet),由 UBDC(格拉斯哥)和 BLG DRC(埃塞克斯)联合提出,重点关注大数据能力建设。
批准号:
ES/N009401/1
负责人:
Piyushimita (Vonu) Thakuriah
金额:
$12.67万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

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中文摘要
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英文摘要
The proposed capacity-building activities will take the form of a Data Analytics Network run jointly by Glasgow and Essex. The Network will develop programmes for policy and business managers, focused on "data-driven" approaches, as well as high-end quantitative training in urban informatics for urban researchers, analysts and planners. The network would be open to researchers and practitioners who could both contribute towards and benefit from involvement. It will be both multidisciplinary and international, open to academics from a wide range of disciplines including urban studies, social policy, business and organisation studies, engineering, computer science etc. who see the network as an opportunity to draw together expertise on data analytics focused on business and cities and share it, through a set of managed activities. It will include the junior and early career researchers, as well as PhD students. Where appropriate we would liaise with the Doctoral Training Centres to develop engagement and participation in our network.The recruitment for our set of activities will be based on the following approach:Academic training: we will target disciplines which can benefit from exposure to Social Analytics and that suffer from lack of skills in this area. These include social policy, business studies, urban studies etc. but we will consult with the DTC to identify these areas more precisely.Business and policy training: we will target sectors that have access to data but lack the capacity in Social Analytics to fully benefit from it. We will consult with organisations like city and central governments and ICAEW, CBI and Insitute of Directors to identify the specific companies that can benefit from training.Visiting scholars: our objective is to improve foster collaboration between the UK academic community and academic centres which are the forefront of research in Social Analytics. We will then reach out to academics from other UK institutions and overseas partners to develop new research and knowledge exchange relationships. Three strands of activity are envisaged:a) a set of user-focused seminars offered by a mix of academic and non-academic experts, the main objectives of which are to improve organisations' understanding of techniques for the analysis of a variety of historical and real-time data, to share the best practice around analytics and to develop collaborative links between major users and university researchers. b) the development of a training programme arranged into three different tracks, tailored to the requirement of different sectors, but allowing significant crossover. The tracks will fully utilise the business analytics and urban analytics research agenda of BLGDRC and UBDCc) a programme of visiting fellowships which could be held either by external academic, including overseas, experts or by senior/middle managers of user organisations. Fellows will be tasked with the development or implementation of analytical techniques involving the use of real-time data in combination with other types of data, using the resources of the Centres
期刊论文(1)
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会议论文
Productivity and the Pandemic - Challenges and Insights from Covid-19
生产力与疫情 - Covid-19 带来的挑战和见解
DOI: 10.4337/9781800374607.00009
发表时间: 2021
期刊:
影响因子: --
作者: [Sena V]
通讯作者: Sena V
Urban Big Data
  • 批准号:
    ES/L011921/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $1762.48万
  • 财政年份:
    2014
  • 负责人:
    Piyushimita (Vonu) Thakuriah
  • 依托单位:
海外基金