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

拟议的能力建设活动将采取格拉斯哥和埃塞克斯联合运营的数据分析网络的形式。该网络将为政策和企业管理人员制定方案，侧重于“数据驱动”办法，并为城市研究人员、分析人员和规划者提供城市信息学方面的高端量化培训。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，向来自城市研究、社会政策、商业和组织研究、工程、计算机科学等广泛学科的学者开放，他们将网络视为一个机会，通过一系列有管理的活动，汇集专注于商业和城市的数据分析方面的专业知识，并将其分享。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，以提高我们网络的参与度和参与度。我们一系列活动的招聘将基于以下方法：学术培训：我们将针对那些能够受益于社会分析的学科，以及那些在这一领域缺乏技能的学科。这些培训包括社会政策、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以充分受益的部门。我们将与城市和中央政府以及ICAEW、CBI和董事学会等组织进行磋商，以确定哪些公司可以从培训中受益。访问学者：我们的目标是促进英国学术界和学术中心之间的合作，这些学术中心是社会分析研究的前沿。然后，我们将接触来自其他英国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。设想开展三项活动：a)由学术和非学术专家混合举办的一系列以用户为中心的研讨会，其主要目标是增进各组织对各种历史和实时数据分析技术的了解，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)将培训方案安排成三个不同的轨道，根据不同部门的需要量身定做，但允许显著交叉。轨道将充分利用BLGDRC和UBDCc的商业分析和城市分析研究议程(BLGDRC和UBDCc)，这是一个访问奖学金计划，可由外部学术机构(包括海外专家)或用户组织的高级/中层管理人员举办。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

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