Want to get rid of costly brand image tracking and barometers? The Brand Mining tool leverages the network structure of social media and uncovers which perceptual dimensions are associated (or not) with your brand.
Yes, we can save energy by rolling out smart meters. This can be proven scientifically, using the whole array of old and new data science techniques: sampling, imputation of missing values, bayesian modelling, random forests and algorithms. How do big brand research departments learn to bottle valuable insights from the tidal wave of consumer data.
Opening ceremony at the ESOMAR 69th annual Congress in New Orleans.
In recent years, the rise of the National Front party has been a major feature of the French political landscape. Understanding the drivers behind the electoral successes of that party is now crucial for mainstream parties if they want to counter it efficiently. This is no small task, as the vote for the National Front is difficult to estimate for pollsters. Our contribution shows how Open Data can help shed light on the question, by combining voting data with freely available administrative data sets. In particular, we address the important question of the link between turn out and the National Front vote. We show that simple correlations between the two are biased and we estimate the true link by econometric modelling, dealing with endogeneity.
Recognising young researchers under the age of 30 for outstanding, original and creative research addressing today's most challenging global issues.