About me

I am a researcher with a PhD in `Big Data Psychology' combining psychological theory and machine learning to understand human behaviour, with applications in social good domains. I am currently working at The Alan Turing Institute (the UK's National Institute of Data Science and AI) using machine learning, artificial intelligence, and bayesian statistics to help prevent modern day slavery and human trafficking.

 

Building a Recommender System to Improve Employment Outcomes in Portugal

September 23, 2019

Bags of Impulsiveness: Psychological and Demographic Predictors of Plastic Bag Consumption in Big Data

January 3, 2019

European Conference on Personality 2018

April 30, 2018

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CURRENT WORK

 

LEARNING ANALYTICS

March 2017 - Present

Analysing academic datasets on student performance using machine learning methods with the goal of understanding bias in the data, and develop fair and accurate marking methods across a range of subjects and departments.

BIG DATA PSYCHOLOGY

October 2015 - Present

Investigating how psychological research is best conducted using big data, where the goals are to have interpretable and generalisable models of human behaviour. In collaboration with the School of Psychology and N/LAB at The University of Nottingham.

MODERN SLAVERY

October 2019 - Present

At the Alan Turing Institute I am using machine learning, bayesian methods, and AI to better measure, understand, and ultimately help prevent modern slavery, human trafficking, and other exploitative crimes.

INTERNSHIPS

 

July 2013 - August 2013

DEVELOPMENTAL PSYCHOLOGY

Internship

During the 6 week Developmental Psychology internship at The University of Nottingham I actively helped to plan and run the university's Summer Scientist Week (SSW). SSW is a fun few days for children, which also serves as a pool of participants for the Developmental Psychology researchers working in and around Nottingham. My role involved event organisation, setting up the data base, testing the children's vocabulary ability using BPVS (including autistic children), calibrating the test scores, and inputting and analyzing the data in Excel.

July 2015 - October 2015

BIG DATA PSYCHOLOGY

Internship
A lot of our daily purchases are driven by various psychological factors. For example, people can buy chocolates either because of habit or because of lapses in self-control when facing a pack of Maltesers at the till. Whilst a wealth of decision-making literature studied psychological mechanisms of impulsive and habitual behaviours in the lab, there is still not enough research translating decision-making theories into real world choices. The Digital Economy opens up a new era in the research of human behaviour, as information about what we buy, where we travel and even what we eat can be recorded “online”, producing evidence that is more accurate than self-reported logs. This project analysed how we categorize and understand different clusters of individual daily decisions and how to interpret the outputs of these analyses.

June 2019 - August 2019

DATA SCIENCE FOR SOCIAL GOOD

Fellowship

I was a fellow on the Data Science for Social Good (DSSG) 2019 ran by Imperial College London and in partnership with The University of Chicago, The Alan Turing Institute, and Warwick University. This programme looks at how we can harness the power of data science to enable charities, start-ups, NGOs and governmental departments operating in the social good space to grow. I worked on a project in partnership with IEFP in Portugal, building a recommender system to improve employment outcomes in mainland Portugal.

PUBLICATIONS AND PROFESSIONAL ACHIEVEMENTS

Journal Publications:

Lavelle-Hill, R. E., Smith, G., Bibby, P., Clarke, D., & Goulding, J. (2019, September 20). Psychological and Demographic Predictors of Plastic Bag Consumption in Transaction Data. https://doi.org/10.31234/osf.io/nv57c

Tomas, C., Whitt, E., Lavelle-Hill, R., & Severn, K. (2019). Modelling holistic marks with analytic rubrics. In Frontiers in Education (Vol. 4, p. 89). Frontiers.

Conferences:

European Conference of Personality, Zadar 2018. "Using Machine Learning Techniques to Examine the Relationship between Money, Personality, and Well-being."

GovTechLab Knowledge Transfer Consortium, London, 2018. "Big Data for Social Good"

World Conference of Personality, Hanoi 2019. "Bags of money or bags of Impulsiveness? Psychological and Demographic Predictors of Plastic Bag Consumption in Big Data."

DSSG Data Fest, Imperial College London 2019. "Building a Recommender System to Improve Employment Outcomes in Portugal"

UCL LIDo PhD Programme, London  2020. "Big Data Psychology"

Other achievements:

Awarded scholarship by The European Conference of Personality 2018

Awarded The University of Nottingham Travel Prize 2019.

Media Engagements:

Speaker at DSSG Data Fest 2019

Interviewed on BBC world service Newsroom on the psychological and demographic predictors of plastic bags.

 

EDUCATION

 

UNIVERSITY OF NOTTINGHAM

2015 - 2020

PhD in "Big Data Psychology" with

N/LAB, Business School and the School of Psychology

UNIVERSITY OF NOTTINGHAM

2011 - 2015

1st class (HONS) in BSc Psychology (with international study)
Incl. Cognitive Psychology,
Biological Psychology,
Neuroscience,
Developmental Psychology,
Personality and Individual Differences

LUND UNIVERSITY

2013 - 2014

Swedish Language,
Cultural Perspectives on Health,
Scandinavian History,
Evolutionary Psychology,
Violence Gender and Culture, 
Politics in The Middle East,
History of the Holocaust

 

The Alan Turing Institute, 2QR, 96 Euston Rd, London, England NW1 2DB

©2018 BY ROSA ELLEN LAVELLE-HILL

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World Personality Conference 2018