Data 科学 Institute

We aim to set the global standard for a truly interdisciplinary approach to contemporary data-driven research challenges. Established in 2015, the Data 科学 Institute (DSI) has over 300 members and has raised nearly £35 million in research grants.

研究 Themes

Latest Events


On the 19th and 20th May the Society theme had a fantastic two-day retreat on the topic of Inequalities, 标志着DSI内部一个新的战略重点的启动. Academics from across the university came together for lively interdisciplinary discussion exploring a wide range of inequalities and discovering connections between fields of health, sociology, politics and policy, economics, environment, computing, and design. We look forward to building on these conversations with further opportunities for members to meet up and collaborate in the months to come.

撤退的第一天提供了4组会谈, interspersed with time for food, 高质量的谈话和一些放松.



  • Jo Knight (Eden North)
  • Emma Halliday (健康 研究)
  • Michelle Collins (健康 研究)
  • 克里斯·博伊科(兰卡斯特当代艺术学院)



  • Michaela Benson (Sociology)
  • 莎莉·卡伍德(竞博电竞官方网址环境中心)
  • Jasmine Fledderjohann(社会学)录音



  • 伊恩•沃克(竞博电竞官方网址管理学院)
  • Katie Hunter (Law School)
  • Steffi Doebler (Sociology)
  • Heather Brown (健康 研究)


Inequalities: 基础设施和环境的政治

  • 高登·沃克(竞博电竞官方网址环境中心)
  • 布兰·诺尔斯(计算机与通信学院)
  • 马修·约翰逊(政治与政策)

第2天提供了当前资金状况的信息, 大学新的安全数据科学基础设施, 为你自己的工作提供自由的时间, 思考或合作对话.


不平等研究:资金状况(奥杰特·杜赫斯特), Senior 研究 Development Manager, RES)

NIHR西北研究支持和发展团队,Julie Mugarza和James Connolly加上Q&A

兰卡斯特的安全数据科学基础设施:凯伦·布罗德赫斯特 & Geraint Harries (ISS) Audience Q&A

The Midland Hotel

尊敬的发言人——布伦特·米特尔施塔特博士, 今年5月,他在DSI上发表了关于“谈论偏见”的演讲, fairness, 以及人工智能领域的非歧视法律"

来自牛津互联网研究所的Brent Mittelstadt博士为DSI做了演讲

Abstract: Western societies are marked by diverse and extensive biases and inequality that are unavoidably embedded in the data used to train machine learning. 用有偏差的数据训练的算法可以, without intervention, produce biased outcomes and increase the inequality experienced by historically disadvantaged groups. Recognising this problem, much work has emerged in recent years to test for bias in machine learning and AI systems using various fairness and bias metrics. Often these metrics address technical bias but ignore the underlying causes of inequality and take for granted the scope, significance, 以及道德上对现存不平等的接受程度.

A recording of this talk is now on YouTube.

In this talk I will introduce the concept of “bias preservation” as a means to assess the compatibility of fairness metrics used in machine learning against the notions of formal and substantive equality. 欧盟非歧视法的根本目的不仅仅是防止持续的歧视, but also to change society, policies, and practices to ‘level the playing field’ and achieve substantive rather than merely formal equality. Based on this, I will introduce a novel classification scheme for fairness metrics in machine learning based on how they handle pre-existing bias and thus align with the aims of substantive equality. 具体来说,我将区分“保留偏见”和“改变偏见”的公平指标. 这种分类制度旨在弥合平等概念之间的差距, non-discrimination law, 以及如何衡量机器学习的公平性和偏见的决策. 偏见转换指标对于在实践中实现实质性平等至关重要. I will conclude by introducing a bias preserving metric ‘Conditional Demographic Disparity’ which aims to re-frame the debate around AI fairness, 把它从正确的公平指标上移开, and towards identifying ethically, legally, socially, or politically preferable conditioning variables according to the requirements of specific use cases.

研究 Themes

Data 科学 at 竞博电竞官方网址 was founded in 2015 on 竞博电竞官方网址’s historic research strengths in Computer 科学, Statistics and Operational 研究. The environment is further enriched by a broad community of data-driven researchers in a variety of other disciplines including the environmental sciences, health and medicine, sociology and the creative arts.

  • Foundations

    Foundations research sits at the interface of methods and application: with an aim to develop novel methodology inspired by the real-world challenge. 这些可能是关于人员运输,货物运输的研究 & 服务、能源消耗和全球天气模式变化的影响.

  • 健康

    The 健康 theme has a wide scope. 目前的强项包括全球公共卫生领域的空间和时空方法, 临床试验的设计和分析, 流行病预测和人口建模, health informatics and genetics.

  • Society

    Data 科学 has brought new approaches to understanding long-standing social problems concerning energy use, climate change, crime, migration, the knowledge economy, ecologies of media, 日常生活中的设计与沟通, 或者是金融化经济体的财富分配问题.

  • Environment

    The focus of the environment theme has been to seek methodological innovations that can transform our understanding and management of the natural environment. Data 科学 will help us understand how the environment has evolved to its current state and how it might change in the future.

Professor Christina Pagel

Professor Christina Pagel gave a talk to DSI on 'What Independent SAGE has taught me about the current biggest issues in light of COVID-19 and where data science can help'. 请听她对当前大流行的见解和观察.

DSI Society - Inequalities

A recording is now available of the launch of the book by Amy Clair and our very own Jasmine Fledderjohann and Bran Knowles entitled, “社会政策和人权的分水岭时刻?: Where Next for the UK Post-Covid". The event included an overview of the key concepts and themes in the book; invited talks from Aaron Reeves (University of Oxford), Kayleigh Garthwaite(伯明翰大学), 丹尼尔·格林(马里兰大学).

DSI Video

In 2019 we recorded a short film to document the research themes and activities and to explain the Institute structure of Data 科学 at 竞博电竞官方网址.

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