DIVA: Data Intensive Visual Analytics - Provenance and Uncertainty in Human Terrain Analysis

数据密集型可视化分析可帮助决策者在各种情况下快速做出明智而有效的决策，从而帮助解决数据泛滥的问题。该探索性项目将与DSTL密切合作，将DIVA应用于国防和安全应用。它将研究有效利用来自多个经常相互冲突的来源的各种动态和不确定数据的可视化方法。将开发存储、交流和使用关于(可能相互冲突、不确定和混乱的)数据来源、质量和分析过程的元数据的方法。他们将是可转移的，并在操作和战略层面上应用。我们汇集了一支由英国学者组成的团队，他们拥有免费的专业知识。米德尔塞克斯大学和伦敦城市大学的贡献者因开发创新和应用的视觉分析解决方案以及支持这一活动的理论工作而在国际上享有越来越高的声誉。来自拉夫堡大学的投稿人提供实时、恶劣环境和军事背景下的信息管理和分析经验。该小组将密切合作，以确定和评估DIVA在人类地形分析领域的潜力。工作方案旨在确保学者和DSTL同事之间的密切接触。围绕一系列参与性设计讲习班的短期协调活动将导致快速发展和评估。这些强烈的协同定位活动将刺激随后的反思，并在迭代过程中对涉及DSTL的反馈做出反应。一名研究人员在两个地点工作，为期12个月的持续衔接工作将支持和巩固这项工作。这些努力将解决新兴的学术退伍军人事务部面临的关键研究问题：*我们如何才能最好地向分析师提供有关数据不确定性和来源的信息？这些因素构成了数据密集型系统中分析方法的基础，但许多问题仍未解决。*我们如何捕捉、诠释和解释分析过程？这样做将使我们能够重现分析过程，并支持沟通和协作分析。*VA方法如何应用于关键应用领域？与DSTL的密切合作将确保学术发展以对国家安全至关重要的应用领域为基础和信息。计划的活动将产生解决这些问题的模式、方法和原型，支持分析工作并展示DIVA在军事环境中的潜力。结果可能会在国防部和VA越来越多地应用到的更广泛的学科中产生应用影响，包括科学、工业和政府中的重要数据密集型领域。调查结果将通过国内和国际学术会议、社交媒体、新闻稿和DSTL网络活动广泛传播。开发的软件和功能将通过知识共享许可证提供。连同通过计划研究获得的知识，这将被英国视觉分析社区使用。该项目利用现有的技能、设备和技术提供重大价值，并具有较低的启动成本。不需要招聘，因为所有参与者都受雇于伦敦城市大学(LEAD)、米德尔塞克斯大学和拉夫堡大学这三个参与机构充满活力和成功的研究小组。该活动方案包括24个月的研究时间，超过12个月的时间，非常符合在国际舞台上开展工作的世界级研究人员的时间表和工作量。所有人都致力于工作计划，该计划在所有情况下都将有助于实现机构目标，并得到美国国家视觉分析中心的支持。

Data Intensive Visual Analytics can help address the data deluge by helping decision makers to rapidly reach informed and effective decisions in a range of situations.This exploratory project will apply DIVA to defence and security applications in close collaboration with DSTL. It will investigate visual methods for effectively utilising the kinds of dynamic and uncertain data that are emerging from multiple and frequently conflicting sources. Methods will be developed to store, communicate and use metadata about (potentially conflicting, uncertain and messy) data origins, quality and analytical process. They will be transferable and apply at operational and strategic levels.We draw together a team of UK academics with complimentary expertise. Contributors from Middlesex University and City University London have growing international reputations for developing innovative and applied visual analytics solutions and the theoretical work that supports this activity. Contributors from Loughborough University offer experience of information management and analysis in real time, harsh environments and the military context. The team will work closely to establish and evaluate the potential for DIVA in the area of Human Terrain Analysis.The programme of work is designed to ensure close engagement between academics and DSTL colleagues. Short bursts of concerted activity focusing around a series of participatory design workshops will result in rapid development and evaluation. These intense periods of coordinated co-located activity will stimulate subsequent reflection and respond to feedback involving DSTL in an iterative process. A continuous bridging presence over a 12 month elapsed period (one researcher working at two sites) will support and consolidate this work. These efforts will address critical research issues faced by the emerging academic VA community: * How can we best support analysts with information about data uncertainty and provenance? These factors underlie analytic approaches in data intensive systems yet many issues remain unresolved. * How can we capture, annotate and explain the analytic process? Doing so will enable us to reproduce the analytic process and support communication and collaborative analysis. * How do VA approaches apply in critical applications areas? Close collaboration with DSTL will ensure that academic developments are grounded in and informed by an applications domain that is vital to national security.The planned activity will produce schemas, methods and prototypes that address these questions, support analytical work and demonstrate DIVA potential in the military context.The results are likely to have application impact across MOD and in wider disciplines to which VA is being increasingly applied, including significant data intensive areas in science, industry and government. Findings will be communicated widely through national and international academic conferences, social media, press releases and at DSTL networking events. Software and functionality developed will be made available through a Creative Commons licence. Along with the knowledge derived through the planned research, this will be used by the UK Visual Analytics Community.The project offers significant value, using existing skills, equipment and technology, and has low start-up costs. No recruitment is necessary with all participants employed in dynamic and successful research groups at the three participating institutions: City University London (lead), Middlesex University and Loughborough University. The programme of activity involves 24 months of research time over 12 months elapsed time and fits in well with the schedules and workloads of world class researchers operating in the international arena. All are committed to the work plan, which will contribute to institutional objectives in all cases and is supported by the US National Visual Analytics Centre.