Real-time data assimilation for Digital Twins Developing methods to improve the use of real-time data in system representations
Uncertainty quantification for black box models Developing methods for the quantification of uncertainty in complex numerical models
A common interface for discrete choice Assessing the viability of translating the ALOGIT software to Python and benchmarking it against other discrete choice modelling software
Sustainable infrastructures Combining reliable sensing technologies with online data analytics to improve real-time sustainability and resilience of infrastructures
Human-centric sensing Achieving flexible, economical, and large-scale human-in-the-loop sensing, such as mobile crowdsensing
Data-driven design of civic infrastructure Developing a new data-mining algorithm to automate the design process for large civil infrastructure and urban transportation projects
Statistical techniques for engineering with advanced materials Bringing together experts in material testing, engineering, statistics and mathematics to address challenges in manufacturing with 3D printed stainless steel
Inverse problems Developing statistical tools for problems in applications such as medical imaging and industrial safety, where unknown parameters are determined from observations and measurements
Skills-based modelling of economic development paths Thursday 06 Jun 2019 Time: 13:30 - 17:30 Neave O'Clery
Data-centric materials science and engineering Tuesday 14 May 2019 - Wednesday 15 May 2019 Time: 09:00 - 17:00 Tony Hey Philip Withers Louise Wright Catherine Powell Chris Taylor Keith Butler Prof. Timothy Cootes Dr. Luke Mason Dr. Robin Pinning Prof. Vassil Alexandrov Dr. Hector Basoalto Joshua Franz Einsle Mark Girolami Din-Houn Lau Andrew Duncan Pranay Seshadri Nick Higham Jianxin Pan Tim Dodwell Patrick Rubin-Delanchy David Hogg
Mathematical aspects of inverse problems summer school Tuesday 29 Aug 2017 - Friday 01 Sep 2017 Time: 18:37
Developing the mathematical foundations of learning for non-Euclidean objects Friday 15 Jan 2016 Time: 17:37
Visualization How can we gain insight into ever-growing datasets and see the reasoning behind automated AI decision-making?
Humanities and data science How far can data science and the humanities help to answer each other’s questions?
Data-centric engineering Bringing together world-leading academic institutions and major industrial partners from across the engineering sector, to address new challenges in data-centric engineering.