The debating chamber – big strategic survey research questions for community debate |
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| Coordinator 1 | Mr Andrew Phelps (UK Office for National Statistics) |
| Coordinator 2 | Ms Laura Wilson (UK Office for National Statistics) |
Session Details
Do you want to debate with a peer, or have your own say, on a survey related topic? This session will provide a forum for the community to debate some of the big strategic questions of the day. Note: this will complement rather than replace or duplicate the usual conference plenary panel discussion.
The session invites future, strategic thinking rather than specific project-based presentations. The session will facilitate more diverse participation using an online tool (such as Slido.com) to manage audience questions.
Applications can be submitted under two formats:
1. Solo 'have your say’ applications. You will present or pitch your thoughts on a topic for 5 minutes followed by 25-30 minutes audience debate and discussion.
2. Paired debating applications. You and another person will present your opposing thoughts on a topic for 5 minutes each followed by 20-30 minutes audience debate and discussion. Some topics may be more suitable for a two-speaker approach.
Things to note:
- Speakers will need to demonstrate in their application that they have suitable knowledge and experience to be able to speak to the subject strategically
- If submitting a paired debate, you will need to source your opposer and jointly submit an application (session coordinators will not pair applications themselves)
- In your application, please provide a justification for why you feel the topic will be important to discuss
Suggested topics of interest:
As a starting point we suggest the following strategic topics, but welcome applications on any future strategic theme:
- Field interviewing
- Survey design and survey quality (e.g., including representation, measurement, incentive strategy, analysis, evaluation, qualitative approaches, questionnaire development etc)
- Research priorities
- Alternative data sources (big data, admin data, survey paradata, etc.)
- Data equity/inclusive survey data
- Technology innovations: AI, etc
- Training, capability and capacity building