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

News

Data for Action: The future of public health

Anna Crispe from Suffolk County Council discusses health policy in the first of our seminar series in partnership with the Institute for Public Health and Wellbeing