Observing Data-Driven Approaches to Covid-19: Reflections from a Distributed, Remote, Interdisciplinary Research Project

Rachel Allsopp, C. Bessant, Keith Ditcham, Ardi Janjeva, Guangquan Li, M. Oswald, M. Warner
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Abstract

The Observatory for Monitoring Data-Driven Approaches to Covid-19 (OMDDAC) is an Arts and Humanities Research Council funded research project investigating data-driven approaches to Covid-19, focused upon legal, ethical, policy and operational challenges. The project is a collaboration between Northumbria University (Law School, Department of Computing and Information Sciences, Department of Mathematics) and the Royal United Services Institute, a defence and security think-tank, and aims to carry out integrated interdisciplinary research, regarded as the most challenging type of interdisciplinarity but where the outputs can be the most impactful. Due to the constraints of the pandemic, the project has been carried out in a fully distributed and remote manner, with some team members never having met in person. The subject of the research is continually changing and developing, creating unique project management issues, with the impact of the pandemic pervasive in the lives of the researchers. This article takes the form of a series of reflections from the points of view of individual project researchers – the specialist legal researcher, the think-tank Co-Investigator, the post-doctoral researcher, statistical and data science researchers, and the Principal Investigator – and organised under two main themes - project management and internal communication; and methodologies/interdisciplinary research. We thus draw out lessons for future remote and distributed research, focused upon interdisciplinarity, the benefits and challenges of remote research methodologies, and issues of collegiality. Finally, we warn that it will be a false economy for universities and funders to assume that research projects can continue to be conducted in a mainly remote manner and therefore, that budgetary savings can be made by reducing time allocations, travel and academic networking.
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观察数据驱动的Covid-19方法:来自分布式、远程、跨学科研究项目的思考
数据驱动的Covid-19方法监测观察站(OMDDAC)是艺术和人文研究理事会资助的一个研究项目,调查数据驱动的Covid-19方法,重点关注法律、道德、政策和业务挑战。该项目是诺森比亚大学(法学院,计算和信息科学系,数学系)和皇家联合服务研究所(一个国防和安全智囊团)之间的合作,旨在开展综合跨学科研究,被认为是最具挑战性的跨学科类型,但产出可能是最具影响力的。由于大流行病的限制,该项目以完全分散和远程的方式进行,一些小组成员从未亲自见面。研究的主题在不断变化和发展,产生了独特的项目管理问题,大流行的影响在研究人员的生活中无处不在。本文采用了一系列反思的形式,从个人项目研究人员的角度出发——法律专家研究员、智库合作研究员、博士后研究员、统计和数据科学研究人员和首席研究员——并在两个主要主题下组织起来——项目管理和内部沟通;方法论/跨学科研究。因此,我们为未来的远程和分布式研究提供了经验教训,重点是跨学科,远程研究方法的好处和挑战,以及合议性问题。最后,我们警告说,如果大学和资助者认为研究项目可以继续以主要的远程方式进行,因此可以通过减少时间分配、旅行和学术网络来节省预算,这将是一种错误的经济。
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