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Event

An hierarchical Bayesian model for estimating European migration flows

In many countries, migration patterns are the key determinant of population change. Accurate estimates of place-to-place population migration flows are essential for making population policy estimates or projections. However, there are many difficulties inherent to estimating migration flows: for example, countries may under-report migration, use different migration definitions, or have...

Presented by: Professor Peter W Smith (University of Southampton)

Venue: Online. Please contact iserseminars@essex.ac.uk for the zoom link.

Event

Double Machine Learning for Panel Data

Machine Learning (ML) algorithms are powerful data-driven tools for approximating high-dimensional or non-linear nuisance functions and, among other things, handling sparsity. In this paper, we bring the power of ML algorithms (i.e., Lasso, classification and regression trees, and random forests) into statistical methods to estimate the impact of policy interventions...

Presented by: Dr Annalivia Polselli (University of Essex)

Venue: The seminar will be held in person at 2N2.4.16 and online. Please contact the seminar organisers for the zoom call details at iserseminars@essex.ac.uk.

Event

Identification of Politically Motivated Survey Falsification in Online Surveys

The internet has become a key arena of political debate, and fake news, bots, fabricated and manipulated content come with this trend. Initial evidence suggests that also online surveys are subject to politically motivated falsification. This research project focuses on identifying politically motivated survey falsification in existing online surveys and experimental settings. While...

Presented by: Zaza Zindel

Venue: Hybrid