Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Page Not Found

Page not found. Your pixels are in another canvas.

About me

Jupyter notebook markdown generator

Posts

Household mixing during COVID-19: our research suggests adherence to lockdowns in England declined over time

less than 1 minute read

Published: November 25, 2021

in our latest research, we analysed mobility data collected from almost one million people in England between January 2020 and May 2021, seeking to understand trends in home visits during the pandemic.

England’s contact-tracing system needs better data handling to beat COVID-19

less than 1 minute read

Published: October 29, 2020

“Contact-tracing systems represent a critical pillar of any coronavirus response… It is therefore paramount that the little information we have is used optimally “

COVID Response Dashboard (COVIDRED)

less than 1 minute read

Published: October 28, 2020

Is the health system capturing everyone that needs to be? Is our response to COVID-19 in England improving? - The UCL i-sense COVID RED dashboard is developed to explore public available data under five key stages to suppressing the virus: Find, Test, Trace, Isolate, and Support, and illustrate its performance. This work has been featured in the Guardian, Telegraph, Sky news etc.

portfolio

Portfolio item number 1

Short description of portfolio item number 1

Portfolio item number 2

Short description of portfolio item number 2

publications

The relationship between user perception and user behaviour in interactive information retrieval evaluation

Mengdie Zhuang, Elaine G. Toms, Gianluca Demartini. Published in 8th European Conference on Information Retrieval (ECIR 2016), 2016 🏆 This paper won the Best Paper Award 🏆

In this paper, we investigated user actions from log files, and the results of the User Engagement Scale, both of which came from a study of people browsing an image collection freely.

Understanding engagement through search behaviour

Mengdie Zhuang, Gianluca Demartini,Elaine G. Toms. Published in 26th International Conference on Information and Knowledge Management, 2017

We examine how 37 behavioural features can inform dimensions of user engagement during a complex search task.

Can user behaviour sequences reflect perceived novelty?

Mengdie Zhuang, Gianluca Demartini,Elaine G. Toms. Published in 27th International Conference on Information and Knowledge Management, 2018

We looked at the relationship between behavioural sequence and perceived novelty in a browsing task.

In What Mood Are You Today?: An Analysis of Crowd Workers’ Mood, Performance and Engagement

Mengdie Zhuang, Ujwal Gadiraju. Published in 27th International Conference on Information and Knowledge Management, 2019

We investigate how crowdworkers mood associated with their performance and engagement during work.

What You Sow, So Shall You Reap! Toward Preselection Mechanisms for Macrotask Crowdsourcing

Ujwal Gadiraju, Mengdie Zhuang. Published in Macrotask Crowdsourcing, 2019

We describe two novel preselection mechanisms that have been shown to be effective in microtask crowdsourcing, and the challenges of applying them in macrotask crowdsourcing.

Digital technologies in the public-health response to COVID-19.

Jobie Budd, Benjamin S. Miller, Erin M. Manning, Vasileios Lampos, Mengdie Zhuang, Michael Edelstein, Geraint Rees, Vincent C. Emery, Molly M. Stevens, Neil Keegan, Michael J. Short, Deenan Pillay, Ed Manley, Ingemar J. Cox, David Heymann, Anne M. Johnson and Rachel A. McKendry. Published in Nature Medicine, 2020

We looked into digital innovations for the public-health response to COVID-19 worldwide and their limitations, and barriers to their implementation, including legal, ethical and privacy barriers, as well as organizational and workforce barriers.