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MRS Advanced Data Analytics (ADA) Network, in collaboration with the RSS Social Statistics Group, is inviting contributions for a face-to-face event exploring the real-world use of synthetic data in research and analytics.
Synthetic data is often described as revolutionary, but in practice its application is not new, and it is rarely straightforward. This event aims to move beyond theory and hype to focus on what people have actually done, what they have learned, and where the limits lie.
We are inviting contributions from individual MRS and RSS Members that take a considered, evidence-based look at the role of synthetic data in research and analytics, focusing on real-world application, limitations and learning rather than hype.
We welcome proposals that explore topics such as:
Contributions may include case studies, methodological perspectives, critical analysis or informed thought leadership, grounded in experience or research.
We are looking for 2-3 case studies and panel participation. We are keen to include a balanced mix of voices, including contributors who can challenge assumptions and share cautionary experiences.
This call is open to individual MRS and RSS Members, including:
You do not need to have all the answers, thoughtful reflection, practical experience and honest challenge are strongly encouraged.
Selected contributions will be approached about providing a presentation or sit on the panel for this event. However other contributions may also be approached with other opportunities, for example written content, supporting informed discussion and helping the sector better understand the appropriate use of synthetic data.
Event details
How to submit
We are inviting expressions of interest for case study presentations and panel participation. Please indicate clearly which type of contribution you are submitting for. You are welcome to put yourself forward for both.
Submission deadline: 1 June via our online form.
This event supports the MRS Campaign for Better Data - Because our tomorrow depend upon trusting data today
Misinformation and data quality issues pose a growing risk, which technology has the potential to magnify. Against this backdrop, MRS is calling on the research sector to increase its vigilance - boosting standards and future-proofing our sector. Discover our resources to help you improve trust in data.
Please let us know if you have any accessibility requirements ahead of the event
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