EPSRC and MRC Centre for Doctoral Training in Next Generation Statistical Science: The Oxford-Warwick Statistics Programme.

EPSRC 和 MRC 下一代统计科学博士培训中心：牛津-华威统计项目。

• 批准号: EP/L016710/1
• 金额: $ 545.39万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Training Grant
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FL016710%2F1
• 关键词: EPSRC; MRC; Centre; Doctoral; Training

The Oxford-Warwick Statistics Programme will train a new cohort of at least 50 graduates in the theory, methods and applications of Statistical Science for 21st Century data-intensive environments and large-scale models. This is joint project lead by the Statistics Departments of Oxford and Warwick. These two departments, ranked first and second for world leading research in the last UK research assessment exercise, can provide a wonderful stimulating training environment for doctoral students in statistics. The Centre's pool of supervisors are known for significant international research contributions in modern computational statistics and related fields, contributions recognised by over 20 major National and International Awards since 2008. Oxford and Warwick attract students with competitively won international scholarships. The programme leaders expect to expand the cohort to 11 or 12 per year by bringing these students into the CDT, and raising their funding up to CDT-level using £188K in support from industry and £150K support from donors.The need to engage in large-scale highly structured statistical models has been recognized for some time within areas like genomics and brain-imaging technologies. However, the UK's leading industries and sciences are now also increasingly aware of the enormous potential that data-driven analysis holds. These industries include the engineering, manufacturing, pharmaceutical, financial, e-commerce, life-science and entertainment sectors. The analysis bottleneck has moved from being able to collect and record relevant data to being able to interpret and exploit vast data collections. These and other businesses are critically dependent on the availability of future leaders in Statistics, able to design and develop statistical approaches that are scalable to massive data. The UK can take a world lead in this field, being a recognized international leader in Statistics; and OxWaSP is ideally placed to realize the potential of this opportunity. The Centre is focused on a new type of training for a new type of graduate statistician in statistical methodology and computation that is scalable to big data. We will bring a new focus on training for research, by teaching directly from the scientific literature. Students will be thrown straight into reading and summarizing journal papers. Lecture-format contact is used sparingly with peer-to-peer learning central to the training approach. This is teaching and learning for research by doing research. Cohort learning will be enhanced via group visits to companies, small groups reproducing results from key papers, student-orientated paper discussions, annual workshops and a three-day off-site retreat. From the second year the students will join their chosen supervisors in Warwick and Oxford, five in each Centre coming together regularly for research group meetings that overlap Oxford and Warwick, for workshops and retreats, and teaching and mentoring of students in earlier years. The Centre is timely and ambitious, designed to attract and nurture the brightest graduate statisticians, broadening their skills to meet the new challenge and allowing them to flourish in a focused, communal, research-training environment. The strategic vision is to train the next generation of statisticians who will enable the new data-intensive sciences and industries. The Centre will offer a vehicle to bring together industrial partners from across the two departments to share ideas and provide an important perspective to our students on the research challenges and opportunities within commercial and social enterprises. Student's training will be considerably enhanced through the Centre's visits, lectures, internships and co-supervision from global partners including Amazon, Google, GlaxoSmithKline, MAN and Novartis, as well as smaller entrepreneurial start-ups Deepmind and Optimor.

牛津-华威统计计划将培养一批至少50名毕业生，他们将学习21世纪世纪数据密集型环境和大规模模型的统计科学理论、方法和应用。这是由牛津和沃里克统计部门牵头的联合项目。这两个部门，排名第一和第二的世界领先的研究在最后一次英国的研究评估工作，可以提供一个美妙的刺激培训环境的博士生在统计。该中心的主管池被称为在现代计算统计和相关领域的重大国际研究贡献，自2008年以来，超过20个主要的国家和国际奖项的认可贡献。牛津大学和沃里克大学以竞争性的国际奖学金吸引学生。项目负责人希望通过将这些学生纳入CDT，并利用来自行业的18.8万英镑支持和来自捐赠者的15万英镑支持，将他们的资金提高到CDT水平，从而将队列扩大到每年11或12人。在基因组学和脑成像技术等领域，参与大规模高度结构化统计模型的必要性已经被认识了一段时间。然而，英国领先的行业和科学界现在也越来越意识到数据驱动分析的巨大潜力。这些行业包括工程、制造、制药、金融、电子商务、生命科学和娱乐部门。分析瓶颈已经从能够收集和记录相关数据转移到能够解释和利用大量数据集合。这些和其他业务严重依赖于未来统计领导者的可用性，能够设计和开发可扩展到海量数据的统计方法。联合王国可以在这一领域处于世界领先地位，成为公认的国际统计领导者; OxWaSP是实现这一机会潜力的理想场所。该中心的重点是为新型统计学研究生提供一种新型培训，培训内容涉及可扩展到海量数据的统计方法和计算。我们将通过直接从科学文献中教学，为研究培训带来新的重点。学生将直接投入到阅读和总结期刊论文。讲座形式的接触很少使用，同行对同行的学习是培训方法的核心。这就是通过做研究为研究而教和学。将通过对公司的集体访问、小组复制关键论文的结果、以学生为导向的论文讨论、年度研讨会和为期三天的场外务虚会来加强队列学习。从第二年开始，学生将加入他们选择的主管在沃里克和牛津，五个在每个中心走到一起，定期研究小组会议，重叠牛津和沃里克，研讨会和务虚会，教学和指导学生在早些年。该中心是及时的和雄心勃勃的，旨在吸引和培养最聪明的毕业统计人员，扩大他们的技能，以迎接新的挑战，并使他们能够在一个有重点的，共同的，研究培训的环境中蓬勃发展。战略愿景是培养下一代统计人员，使新的数据密集型科学和行业成为可能。该中心将提供一个工具，汇集来自两个部门的工业合作伙伴，分享想法，并提供一个重要的视角，我们的学生对商业和社会企业内的研究挑战和机遇。学生的培训将通过该中心的访问，讲座，实习和来自全球合作伙伴的共同监督，包括亚马逊，谷歌，葛兰素史克，MAN和诺华，以及较小的创业初创公司Deepmind和Optimor。