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April 2017

KNIME Basics & Twitter Text Analysis

4th April 2017 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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KNIME Analytics Platform is the leading open-source solution for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. KNIME allows users to visually create data flows (or pipelines), selectively execute some or all analysis steps, and inspect the results and models with interactive views. With more than thousand modules, hundreds of ready-to-run examples, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any…

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CDRC @ GISRUK 2017: Opening up consumer data for social science research

19th April 2017 @ 9:30 am - 12:30 pm
University of Manchester, Oxford Road, Humanities Bridgeford Street
Manchester, M13 9PL
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Consumer data is a key source of new and novel data or “Big data”.  Data previously available only within businesses are increasingly becoming available for research use.  These consumer data can be used to examine a wide variety of research questions.  But how can you as a researcher get access to these kinds of data and what kinds of analyses could you undertake with them? Funded by the Economic and Social Research Council as part of Phase 2 of the…

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Obesity Network Seminar: Opportunities and Challenges

25th April 2017 @ 8:30 am - 1:30 pm
Leeds Beckett University, Great Hall, Leeds Beckett University, Headingley
Leeds, LS6 3QS United Kingdom
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This seminar and panel discussion will be taking place at Leeds Beckett University, on Tuesday 25th April 2017.

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R for Transport Applications: Handling Big Data in Spatial World

26th April 2017 @ 9:30 am - 27th April 2017 @ 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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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 active travel be used to inform policy? How…

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May 2017

Local Area Research & Intelligence Association Conference

23rd May 2017 @ 9:30 am - 24th May 2017 @ 5:30 pm
Sheffield City Hall, Barker's Pool
Sheffield, S1 2JA
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CDRC will be exhibiting at the LARIA Conference at Sheffield City Hall on 23-24 May 2017.

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June 2017

New Sources of Data for Social Science Research – Glasgow

20th June 2017 @ 11:45 am - 4:30 pm
Sir Alwyn Williams Building, Sir Alwyn Williams Building (Level 5), University of Glasgow
Glasgow, G12 8QN
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This free event from our colleagues at the Urban Big Data Centre provides an opportunity to catch up with new sources of data for social science research.  The data sources are: Administrative data Biomarker data Urban big data For each of these sources of data we will give an overview and consider how they can be used to extend your options for exploring social science research questions. There are no pre-requisites for attending. This event is likely to be most…

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July 2017

Advanced Modelling Strategies: challenges and pitfalls in robust causal inference with observational data

17th July 2017 @ 9:00 am - 20th July 2017 @ 5:00 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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  **Please note that this course is now full** This four day summer school, supported by SSM, is designed to give an introduction to the common pitfalls and challenges in statistical multivariable regression modelling of observational data. This school is run by Prof Mark S Gilthorpe (Medicine, Leeds) with input from Dr Peter WG Tennant (Healthcare, Leeds) and Dr George TH Ellison (Medicine, Leeds) and is based on materials prepared in conjunction with Dr Johannes Textor (Radboud University Medical Center,…

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Introduction to QGIS: Understanding and Presenting Spatial Data – London

19th July 2017 @ 10:00 am - 4:30 pm
University College London, Room 110A, Pearson Building, Gower Street
London, WC1E6BT United Kingdom
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We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) and Consumer Data Research Centre (CDRC). Please note this course can be taken as a one-day course, or can also be taken in conjunction with other two one-day courses on 20 July and 21 July 2017. This course will introduce spatial data and show you how to import and display spatial data with the free open source GIS program QGIS.…

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Introduction to Spatial Data & Using R as a GIS – London

20th July 2017 @ 10:00 am - 4:30 pm
University College London, Room 110A, Pearson Building, Gower Street
London, WC1E6BT United Kingdom
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We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) and the Consumer Data Research Centre (CDRC). Please note this course can be taken as a one-day course, or can also be taken in conjunction with other two one-day courses on 19 July and 21 July 2017. The course will cover an introduction to R, how to load and manage spatial data and how to create maps using R and…

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Confident Spatial Analysis – London

21st July 2017 @ 10:00 am - 4:30 pm
University College London, Room 110A, Pearson Building, Gower Street
London, WC1E6BT United Kingdom
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We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) and the Consumer Data Research Centre (CDRC). In this course we will cover how to prepare and analyse spatial data in RStudio & GeoDa. We will use RStudio to perform spatial overlay techniques (such as union, intersection and buffers) to combine different spatial data layers to support a spatial analysis decision. We will also use RStudio and GeoDa to explore…

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