Open Research Working Group (ORWG) at LSE

What is Open Research?

Open Research, also known as open science, refers to principles and practices to transparently share "research outputs, methods, and materials throughout the research process under terms that enable reuse and redistribution" (UK Reproducibility Network, 2023).

What is the Open Research Working Group?

The Open Research Working Group (ORWG) at LSE is an informal group of researchers, academics, and professional services staff from across LSE. The aim of the ORWG is to provide strategic direction for open research support at LSE, and to foster a culture of open, transparent, inclusive, and collaborative research across the School. This includes overseeing relevant policies and training, identifying opportunities and initiatives, and sharing practical guidelines and checklists for open and transparent research in social science.

The ORWG recognises the rich diversity of different social sciences in the School, and of different views and motivations to adopt open research practices in each discipline in the School.

The ORWG acts as the Local Network for the UK Reproducibility Network (UKRN). LSE's local network of the UKRN was founded by some members of the ORWG in 2019 as a grassroots network at LSE to discuss reproducibility issues across the social sciences.

The ORWG discusses how to create, share, and disseminate best practices to advance openness, transparency, integrity, and reproducibility of social sciences research in the School and beyond.

The ORWG also aims to increase awareness of open research and supports a wider community of interested researchers and staff who may contribute to specific events, initiatives, and training opportunities.

Members of the ORWG have the opportunity to share ideas and resources, engage in open discussions about meta-research, and learn from each other in a supportive and stimulating environment. The ORWG meets termly and regularly hosts workshops, seminars, and discussions on various topics related to open research, which are open to all at LSE.

Get involved with the Open Research Working Group at LSE

If you are interested in joining the ORWG or getting involved in our events programme, get in touch with us.

OWRG members

Dr Matteo M Galizzi, Associate Professor of Behavioural Science, Department of Psychological and Behavioural Science and LSE Behavioural Lab: Chair ORWG
Rosie Higman, Open Research Services Manager, LSE Library: Deputy Chair ORWG
Hannah Boroudjou, Research Data Librarian, LSE Library
Professor Julia Bottcher, Professor, Department of Mathematics
Dr Sakshi Ghai, Assistant Professor, Department of Psychological and Behavioural Science
Dr Heather Kappes, Associate Professor of Management, Department of Management
Dr Dario Krpan, Assistant Professor, Department of Psychological and Behavioural Science
Lucy Lambe, Open Research Librarian, LSE Library
Dr Peter Mills, PhD Academy Manager
Professor Joan Roses, Chair of the Research Degrees Sub Committee, Professor in Economic History, Department of Economic History
Professor Elizabeth Stokoe, Academic Director of Impact, Professor, Department of Psychological and Behavioural Science
Michael Taster, Managing Editor LSE Impact Blog
Dr Milena Tsvetkova, Associate Professor of Computational Social Science, Department of Methodology

Resources

LSE researchers can get support from the Open Research Services team for:

Research Data Management

Open Access publishing for books

Open Access publishing for journals

Research Visibility

Other resources for researchers are available from the website of the UK Reproducibility Network: UK Reproducibility Network (ukrn.org); Resources | UKRN.

Upcoming events

Coming soon!

Past events

The power of editors in changing scholarly communications

This event was a roundtable discussion on the role of editors in encouraging open research practices within journals, research integrity and reproducibility in the age of AI, and improving the quality of published research.

Reproducibility in the age of AI

A panel of researchers discussed the implications of Artificial Intelligence (AI) for reproducibility in social science research.