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.
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
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.
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.
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.
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.
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 the Annual Deprivation Index (ADI)
Annual Deprivation Index (ADI)
Offering the most up to date data on core deprivation metrics in the cities, towns and regions of England.
The ADI is an invaluable resource for health and economic researchers, local authorities and the UK Government.
It provides researchers with granular, up to date data with which to base their analyses.
It provides decision–makers with a valuable resource for allocating government resources, evaluating policies and understanding socio–economic inequalities.
The index is constructed using high–frequency indicators of health, employment and crime. The annual deprivation index is composed of 3 main domains – economy, health and crime. These cover the main indicators within the existing IMD. Health and crime domains have, in turn, many subdomains, relating to different forms of crime and health conditions (the latter drawn from the NHS quality outcomes framework).
A multidimensional job database analysing skills, tasks, expertise, technologies and more
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 tasks within occupations
- The relationship between skills and wages
Do you work in national or local government?
ASPECTT will help design fair and efficient transition plans for workforces, as we make the shift from carbon-intensive industries to sustainable sectors. By giving a high-resolution image of the possible pipelines between jobs, policymakers can move from speculation to action-planning. ASPECTT can also give insight into the changing trajectory of skills, tasks and abilities in the labour market over time.
Do you work for a trade union?
ASPECTT will help trade unions plan for the future for their members. By unpacking the occupational elements of a sector, ASPECTT allows trade unions to see the value of certain skills/expertise and the possible avenues for role adaptions in light of the changing nature of our economy and climate. ASPECTT also allows for forecasting the threat of automation with regards to certain tasks on the job, so trade unions can craft policy and campaigns accordingly.
Are you an NGO or campaign group?
ASPECTT will give you the highest resolution image of what a just or green transition could look like at the level of jobs and industries. With this knowledge, your campaigns and your reports will be best equipped to confront the obstacles to change as we strive to move towards a sustainable economic model.
Are you a business leader?
ASPECTT will help you understand the task, skill, expertise and educational composition of your workforce and the sector you are in. It will help plot possible avenues for transition away from unsustainable working practices and towards sustainable job roles for your enterprise.
Are you a university?
ASPECTT will help you understand the skills composition of the UK labour market currently and over the past few decades. Its high-resolution data will show the wage value of certain skills and educational qualifications, allowing for the more precise planning of courses and modules. Which abilities and skills are scarce in the labour market today? Which skills and abilities receive the highest remuneration and which undergraduate and graduate courses might best fit these occupations?
Are you an academic or independent researcher?
ASPECTT will contribute greatly to studies across a number of disciplines. If you work in economics, sociology, public policy, environmental studies, climate science and others, ASPECTT will be able to augment your research questions with robust, detailed data on occupational characteristics unavailable elsewhere. Tailoring the database to your research questions, Autonomy can act as an industry partner as part of your research project to deliver results.
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 is a specialist in stochastic processes, large deviations theory and statistical physics – holding a PhD from Cambridge University. He is the Director of the Autonomy Data Unit (ADU), which produces cutting-edge data analysis and visualisation on the present and future of our economies.
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.
Sean has experience as an ML Solutions Engineer in corporate and start-up environments and has worked closely with organisations such as Bellingcat and the Strelka Institute. He is part of Autonomy’s Data Unit and will be exploring the potential of AI for progressive change.
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