Autonomy's Data Unit sits at the heart of the organisation's workflow.

Our work consists in combining and refining different datasets, producing digital tools for research and designing cutting-edge data visualisations.

Generating new data

By processing, combining and ordering different data sets, we produce new data that can serve as a basis for research projects and policy. Beyond project-specific endeavours, we’ve forged robust, long-term tools in order to inform analyses of our economies.

Statistics & Economics

Our team benefits from rich academic and industry experience in the field of economic analysis and diverse statistical approaches. With specialities in mathematics, physics and both orthodox and heterodox economics methods, we can turn our hand to the grand challenges of our time.

Data visualisation

Analysis of data must be supplemented by effective communication, often for a variety of audiences. Autonomy’s Data Unit creates industry-leading visualisations to this end.

Machine Learning

Our team develops Machine Learning models to shore up databases and build prospective scenarios that can anticipate trends in economic activity, especially in the job market. Whilst we recognise that ML is not a magic bullet, and is simply a tool with specific affordances, our analysis is constantly finding new ways to optimise its use to inform robust economic judgement.

Web Crawling

Our web crawling service has a number of potential uses, from fine-tuning messaging to mapping nodes/networks of influence. Web crawling can also augment other means of gauging wider public sentiment, such as polling and focus groups. 

Software development

As part of our work, we mobilise our software and web development skillsets in order to produce online tools, dashboards and machines that take audiences beyond the familiar presentation formats of reports and graphs.

Introducing ASPECTT


A multidimensional job database analysing: skills, tasks and technologies

We are constructing a highly dynamic dataset that includes a full decomposition of occupations into skills, tasks, educational qualifications and technologies used. In the UK context it is unprecedented, but its ambition does not stop there: we are expanding the dataset to include global jobs. Such a dataset will give researchers, policymakers, trade unions and others an unprecedented granularity when it comes to understanding the labour market. Such a tool will be indispensable for understanding:

  • The trajectories of skills over time
  • The feasibility of worker transitions between industries
  • ‘Skills gaps’ of all kinds
  • The susceptibility of automation of certain occupations
  • The relationship between skills and wages

Sonia Balagopalan

Sonia holds a PhD in mathematics from Maynooth University. Her research specialises in geometry and discrete optimization, which informs her work with the ADU on database manipulation and data visualisation.

Lukas Kikuchi

Lukas is a specialist in stochastic processes, large deviations theory and statistical physics. He manages each of the ADU’s projects.

Luiz Garcia

Luiz is a quantitative economist versed in heterodox and mainstream theories. With the Autonomy Data Unit (ADU), he assesses work relations through micro and macroeconomic modelling in multiregional and multisectoral scenarios.

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