Category Archives: Grants

A new grant: Connecting with UK Parliament

I have been awarded a grant from the Research and Public Policy Partnership Scheme 2020 to support on-going collaboration between the team, the House of Commons Library (HCL) and the Parliamentary Digital Service (PDS).

The ParlRulesData project digitilizes, analyzes and makes available historical, machine-readable records of parliamentary rules (“standing orders”, “rules of procedure”) through a dedicated data website, (launched in July 2019). The HCL is an independent research and information unit, providing impartial information for UK Members of Parliament. The PDS is a specialized service supporting the House of Commons, the House of Lords and Parliament staff on their IT and digital needs.

Our collaboration project aims to bring significant benefits in terms of facilitating political transparency, public data access and democratic accountability. HC Standing Orders – the focus of our proposed partnership — govern the process by which parliament considers important elements of public policy – primary legislation, secondary legislation, and even treaties. Making good policy requires clarity and transparency about which parliamentary rules are applicable, how they should be complied with, and – in retrospect – whether they have been followed correctly.

A new grant from John Fell OUP Research Fund

I have been awarded – jointly with David Doyle – a John Fell OUP Research Fund for a research project entitled ‘Measuring Government Policy with Text Analysis’. The project will run in 2016-2017.

Project abstract:

Is government policy enhancing business activity or constraining it?  Are government regulations becoming more or less business friendly?  Is government policy more favourable to some sectors than others?  These and similar questions are ones that citizens and businesses ask every day, but social scientists have only limited tools for measuring governments’ business policies, except through broad-brush surveys of regulatory environments.  Against this backdrop, we propose to apply the recent advances in computational linguistics to develop a novel machine text analysis to produce detailed estimates of government policy across time and policy fields.

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