The Parliamentary Office of Science and Technology: Connecting the UK Parliament with Research Evidence

The Parliamentary Office of Science and Technology (POST) has connected the UK Parliament with impartial research evidence for over 35 years. This article outlines POST’s structure, methodology, and services – including briefings, expert access, and confidential enquiries – that support evidence-informed policymaking. It highlights POST’s role in overcoming barriers to research use in parliament, its collaboration with academia, and its impact on parliamentary work, especially committee scrutiny. The paper also explores future developments, including rapid evidence synthesis and AI tools, aimed at enhancing responsiveness and efficiency in meeting growing parliamentary demand for trusted research.

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Publication Details

Journal
Università degli Studi di Trento
Published
2026-04-27
DOI
https://doi.org/10.15168/2284-4503-4028
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
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article

The Parliamentary Office of Science and Technology: Connecting the UK Parliament with Research Evidence

Oliver Bennett
Università degli Studi di Trento
Computational and Text Analysis Methods
article

The Parliamentary Office of Science and Technology: Connecting the UK Parliament with Research Evidence

Oliver Bennett
article en

Abstract

The Parliamentary Office of Science and Technology (POST) has connected the UK Parliament with impartial research evidence for over 35 years. This article outlines POST’s structure, methodology, and services – including briefings, expert access, and confidential enquiries – that support evidence-informed policymaking. It highlights POST’s role in overcoming barriers to research use in parliament, its collaboration with academia, and its impact on parliamentary work, especially committee scrutiny. The paper also explores future developments, including rapid evidence synthesis and AI tools, aimed at enhancing responsiveness and efficiency in meeting growing parliamentary demand for trusted research.

Università degli Studi di Trento
Openalex Percentile: Top 3%
Computational and Text Analysis Methods
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