Results 1 to 10 of 22
Online (some in person places available – please contact us direct) Novel data linkages, such as shopping data and cohort studies, offer great potential to answer important questions about behaviour and health. But do they lend themselves well to Causal Inference? At this workshop, the Turing Causal Inference Interest Group and the Novel Data Linkages for...
The 4th instalment of our data science mini-series showcasing current research projects here at the Leeds Institute for Data Analytics (LIDA). This weeks features 10 minute lightning talks from three data scientists on using data analytics to inform the prevention of Young People Not in Employment, Education or Training (NEET) with Q&A. TALK 1...
The 3rd instalment of our data science mini-series showcasing current research projects here at the Leeds Institute for Data Analytics (LIDA). This weeks features 10 minute lightning talks from two data scientists about their research into Online Behaviour Insights. Chairs - Dustin Foley, Research Software Engineer at the Consumer Data Research Centre (CDRC) & Dr...
Abstract: Numerical modelling is a reliable tool for flood simulations, but accurate solutions are computationally expensive. In the recent years, researchers have explored data-driven methodologies based on neural networks to overcome this limitation. However, most models are used only for a specific case study and disregard the dynamic evolution of the flood wave. This limits...
The 2nd instalment of our data science mini-series showcasing current research projects here at the Leeds Institute for Data Analytics (LIDA). This weeks features 10 minute lightning talks from three data scientists about their research into Societal & Environmental Challenges. TALK 1 - Does increased food insecurity lead to greater health inequalities? Ahmad Ammash...
The 1st instalment of our data science mini-series showcasing current research projects here at Leeds Institute for Data Analytics (LIDA). This weeks features 10 minute lightning talks from three data scientists about their research on Transport & Travel. Chair - Francesca Pontin, Senior Research Data Scientist, Consumer Data Research Centre TALK 1 - Incorporating Geospatial...
Abstract: Free text comments (FTC) of patient-reported outcome measures (PROMS) offer invaluable insight into health-related quality of life (HRQoL). However, extracting meaningful information from FTC is challenging due to the time-consuming nature of manual analysis methods (the common analysis method). However, weakly supervised text classification (WSTC) can be a valuable method of analysis to classify...
We are excited to announce the formation of a new Visualization Interest Group (VIG) in the Leeds Institute for Data Analytics (LIDA), led by Prof. Roy Ruddle (Computing) and Dr Roger Beecham (Geography). The VIG aims to foster a friendly environment for exploring the multifaceted world of visualization. Our scope spans the entire pyramid of...
Abstract: Deep learning offers innovative approaches to modeling complex physical dynamics. This talk will focus on the application of a specific deep learning approach, graph neural networks, to the problem of forecasting global weather. A data-driven model was trained to step forward the current 3D atmospheric state by six hours, and multiple steps are chained...
Bring your laptop to the hands-on ML session on SINDy, run by Alasdair Roy and hosted by the SciML community! Alasdair will give a 45-minute introduction to SINDy. After a break for coffee and cake, we'll tackle the coding challenges that Alasdair has prepared for us. (Note: This is an in-person event. Only the first...