NCRM is delighted to bring you the 2021 Research Methods e-Festival in collaboration with methods@manchester. Held on 25-29 October 2021, the event will be a celebration of research methods with an interdisciplinary social science flavour.
The e-festival will feature more than 80 sessions run over five days, with more than 130 speakers offering diverse perspectives on the festival’s theme: innovation, adaptation and evolution of the social sciences.
The e-festival will be 100 per cent web based and hosted on a dedicated interactive platform, where attendees can join sessions via live video streams, take part in community discussions and network with other guests.
The packed e-festival programme features sessions in eight different categories, including: workshops, expert clinics, panel discussions, “what is?” talks, keynote presentations, webinars and “in conversation” discussions.
Keynote speakers include: Professor Trisha Greenhalgh (University of Oxford), Professor Noshir Contractor (Northwestern University), Dr Ash Watson (University of New South Wales) and Amos Toh (Human Rights Watch).
In addition to the main e-festival activities, a series of companion short courses will be held throughout the week (see below for further details).
Register for the e-festival
To register for the e-festival, attendees can purchase a festival pass for a flat fee of £10. This will give access to all sessions held over the five days of the event (excluding short courses). Due to the popularity of the e-festival, ticket sales will close at 12:00 on 18 October.
Access to the online event platform, Whova, will be available after registration, enabling attendees to network, join discussions and sign up for sessions before the e-festival begins on 25 October. Attendees should allow up to 24 hours to receive notification on how to join the platform. If you have bought a ticket over the weekend, this may take longer. Please note, pre-booking will be required for capacity-limited workshops and clinics.
CLOSER’s presence at the conference
What is the CLOSER Learning Hub?
Monday 25 October, 16:05 – 17:00 BST
This session, led by Neil Kaye (CLOSER Senior Research Fellow) provides a demonstration of the CLOSER Learning Hub and how it can help students to use data from longitudinal studies for their dissertation. The format comprises a short introductory video (15 mins), followed by a live demonstration with interactive exercises for participants (20 mins) and a Q&A session (15 mins).
The session will look in-depth at the Learning Hub’s resources – learning modules, data discovery, research case studies – and how they can be applied to research for a self-led undergraduate dissertation. From understanding the benefits of longitudinal research and how it can be used to answer research questions, to accessing datasets from longitudinal studies and thinking about analysing and writing up your research, this introductory session will provide a clear guide for students considering using longitudinal studies in their research.
Accelerating impact and public good from research
Tuesday 26 October, 14:05 – 15:00 BST
This panel session brings together members of the civil service and statistics community to discuss their experiences of working with Government, Academia and public, private and third sector organisations to support and promote their research which benefits the economy and society.
With expertise covering the full lifecycle of research using linked administrative, business and survey data, this panel will cover topics including the understanding public good, the importance of qualitative and quantitative impact, supporting early career researchers and engaging with policy makers and government.
- Nick O’Donnell, Head of Secure Research Service Policy, Operations, Relations and Impact, Office for National Statistics
- Mary Cowan, Research Specialist, Office for Statistics Regulation
- Rob Davies, UCL and Head of the COVID-19 Taskforce, CLOSER
- Neil Dymond-Green, Service Director, Impact, UK Data Service
Chair: James Spurr, Senior Impact Manager, Office for National Statistics