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: University of Glasgow
• 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
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FN009401%2F1
• 关键词: Social; Analytics; Strategic; Network; SASNet

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

拟议的能力建设活动将采取由格拉斯哥和埃塞克斯联合管理的数据分析网络的形式。该网络将为政策和业务管理人员制定方案，重点是“数据驱动”方法，以及为城市研究人员、分析人员和规划人员提供城市信息学方面的高端定量培训。该网络将向研究人员和从业人员开放，他们既可以为参与作出贡献，也可以从中受益。它将是多学科和国际性的，向来自广泛学科的学者开放，包括城市研究，社会政策，商业和组织研究，工程，计算机科学等，他们将网络视为一个机会，通过一系列管理活动，汇集专注于商业和城市的数据分析专业知识并分享。它将包括初级和早期职业研究人员，以及博士生。在适当的情况下，我们将与博士培训中心联系，以发展我们网络中的参与和参与。我们的一系列活动的招聘将基于以下方法：学术培训：我们将针对可以从接触社会分析中受益的学科，以及缺乏这方面技能的学科。这些领域包括社会政策、商业研究、城市研究等，但我们将与DTC协商，以更准确地确定这些领域。商业和政策培训：我们将针对那些能够获得数据但缺乏社会分析能力的部门，以充分受益于这些数据。我们将与城市和中央政府以及ICAEW等组织进行磋商，访问学者：我们的目标是促进英国学术界和社会分析研究前沿学术中心之间的合作。然后，我们将接触来自英国其他机构和海外合作伙伴的学者，以发展新的研究和知识交流关系。设想开展三方面的活动：a）由学术和非学术专家联合举办一系列以用户为中心的研讨会，其主要目标是提高各组织对各种历史和实时数据分析技术的理解，分享有关分析的最佳做法，并在主要用户和大学研究人员之间建立协作联系。B）制定一个培训方案，分为三个不同的轨道，适合不同部门的要求，但允许大量交叉。这些轨道将充分利用BLGDRC和UBDCC的商业分析和城市分析研究议程，这是一个访问奖学金计划，可以由外部学者（包括海外专家）或用户组织的高级/中级管理人员举办。研究员的任务是利用各中心的资源，开发或实施分析技术，包括结合使用实时数据和其他类型的数据

项目成果

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
• 作者: Sena V