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R for Transport Applications: Handling Big Data in a Spatial World
**Please note this course is now fully booked** Overview This course teaches two skill-sets that are fundamental in modern transport research: programming and data analytics, with a focus on spatial data. Combining these enables powerful transport planning and analysis workflows for tackling a wide range of problems, including: How to effectively handle large transport datasets? Where to locate new transport infrastructure? How to develop automated and reproducible transport planning workflows? How can increasingly available datasets on air quality, traffic and…
Find out more »Explaining Brexit and Trump with Tidy data graphics
2016 was an eventful year. The narrow votes in favour of Brexit in the UK and Trump in the US were a shock to many. You’ve probably heard commentators remark on the underlying causes for why people voted as they did. A familiar caricature is of blue collar disaffection (Leave and Trump) versus liberal, metropolitan values and relative affluence (Remain and Clinton). But is this true of the entirety of the UK and US? In this workshop you'll analyse datasets…
Find out more »Introduction to Data Linkage – Oxford
This is a training and capacity building event co-organised by the Administrative Data Research Centre England (ADRC_E) and the Consumer Data Research Centre (CDRC). This short course is designed to give participants a practical introduction to data linkage and is aimed at researchers either intending to use data linkage themselves or those who want to understand more about the process so that they can analyse linked data. Introduction to Data Linkage will cover examples of the uses of data linkage, data preparation, and methods…
Find out more »Introduction to Python
This course will introduce the participants to the nascent field of Geographic Data Science using the industry standard, the Python programming language. We will cover the key steps involved in solving practical problems with spatial data: design, manipulation, exploration, and modelling. These topics will be explored from a “hands-on” perspective using a modern Python stack (e.g. geopandas, seaborn, scikit-learn, PySAL), and examples from real-world spatial and tabular data. We will start with an overview of the main ways to access…
Find out more »LIDA Seminar: Progression beyond regression; using heterogeneous data in disease trajectories
The Leeds Institute for Data Analytics is pleased to present the following seminar in our series showcasing data analytics. The seminar will be held in Seminar Room 9.60, Level 9, Worsley building. Abstract In this talk we will introduce some of the key issues and challenges in modelling disease progression when utilising many different sources of data. We will discuss the different ways that data can be collected, how this data can be used to build realistic models of disease, and…
Find out more »Evaluating linkage quality for the analysis of linked data – Oxford
This is a training and capacity building event co-organised by the Administrative Data Research Centre England (ADRC_E) and the Consumer Data Research Centre (CDRC). This short course is designed to give participants a practical introduction to handling and evaluating quality of linked data, and is aimed at researchers who want to understand more about how the data linkage process might impact on results derived from linked data. We will cover processing of linked data, concepts of linkage error and bias, and evaluating how linkage…
Find out more »Introduction to GIS and Spatial Analysis for Retail Applications
This one-day course provides an introduction to applications of Geographic Information Systems (GIS) and spatial analysis in understanding retail sector dynamics. We focus on the visualisation and analysis of data related to retail supply (e.g. store catchments) and demand (including geodemographics) at national, regional and local scales. We consider commercial and public sector applications of retail analytics and introduce increasingly sophisticated analysis tools. These include GIS-based measures of accessibility and network analysis to determine retail service areas. A series of…
Find out more »Challenges and Opportunities in Retail Location Analysis
Our annual 3-day residential programme on retail location & customer analysis takes a well-earned break this year. In its place, we are planning a free one-day, invitation only event in Oxford focusing on the Challenges and Opportunities facing retail location analysis and customer insight professionals. Within the context of some of the most significant changes to be facing the retail sector in a generation, there is an urgent requirement for firms to better understand the ways in which the location,…
Find out more »Summer School – Causal inference with observational data: challenges and pitfalls
**Please note that this summer school is currently full. Any further applications will be added to a waiting list and you will be notified as and when a place becomes available** This five-day summer school offers state-of-the-art training in the analysis of observational data for causal inference. By exploring the philosophy and utility of directed acyclic graphs (DAGs), participants will learn to recognise and avoid a range of common pitfalls in the analysis of complex causal relationships, including the longitudinal…
Find out more »Corporate Responsibility Research Conference
The 13th Corporate Responsibility Research Conference (CRRC) will be held in September this year, hosted by the Sustainability Research Institute (SRI) and Business and Organisations for Sustainable Societies research group (BOSS) at the University of Leeds. The CRRC is an opportunity to experiment, test out new ideas, and network with a diverse range of peers. Traditionally, the conference has been a place to challenge received notions around responsible research in the private sector in order to drive forward new debates and…
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