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20 February 20189:30

Technology and Electoral Research: Perspectives from Industry and Academia

This conference is the closing event for VOTEADVICE, a four-year research project funded by the European Commission to investigate the impact of new technologies on political behaviour. The scientific objectives of VOTEADVICE have been to produce research related to how new technologies and social media influence political and social behaviour. In order to achieve this aim the Research Network developed and applied techniques for the analysis of non-probability samples, online surveys and experiments and eye tracking tools.. Full details
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20 February 201817:00

Q-Step: Longitudinal Data Analysis

In this workshop you will learn about the principles of longitudinal data analysis, when it should be used and the advantages and disadvantages of longitudinal methods. You will also be introduced to event history analysis and learn how to construct a person-year data file. Finally, you will learn to run common hazard models and create a survival curve. The workshop will be taught using STATA software with examples from the British Household Panel Survey (BHPS). Please note that a prior experience with regression analysis is required. Full details
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27 February 201811:30

Q-Step : Network Analysis

The workshop provides an introduction for beginners to Social Network Analysis. It gives an overview of key concepts needed to design research that looks at social relations (networks) that connect individual units (actors), so that students can apply social network analysis to their own research. The workshop focuses on the description and visualisation of social network data, looking at structural properties of a network, as well as ideas of centrality in the network. To understand the SNA perspective, practical examples are given from academic literature, illustrative graphics from the media, and source material visualised through R. Experience in R is expected although not required. We will use a combination of slides and R code exercise. Full details
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6 March 201811:30

Q-Step : Agent-based modeling

Though models sit at the centre of lines of social inquiry as diverse as game theory, statistical analysis, qualitative analysis, and political philosophy, all involve an attempt to describe core elements of the world in a way that helps us to understand, value, and predict that world. With Agent Based Models, computer simulations of the behaviours of many agents work deductively from simplified assumptions to create dynamic interactions that can be examined over a range of conditions to make inductive arguments about the nature of the world. In this generative reasoning approach, agents with very simple micromotives can lead to complex adaptive systems in which qualitatively different macrobehaviours emerge. How do very simple assumptions about drivers, city dwellers, and voters lead to complex emergent phenomena like traffic jams, housing segregation, and party realignment? In this lecture, I’ll introduce answers to these questions by building models of these problems and highlight tools you can use to develop your own agent based models. Full details
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8 March 201815:30

Q-Step: Text Analysis - Python

tbc. Full details
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13 March 201811:30

Q-Step : Multilevel modeling

In this tutorial, we introduce multilevel models as extensions of regression-type models suited to analyse hierarchical or nested data, such as children's SATs test scores nested within classes or schools, individual survey responses nested within interviewers, or, potentially, any measure taken repeatedly over time. Full details
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