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Cross-cutting interests
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Cross-cutting interests
Statistics representing society: How well or poorly do statistics represent society, and what are the impacts of this on how they are used and valued?
Office for Statistics Regulation, 2023
statistics
society
data analysis
policy-making
public good
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Cross-cutting interests
Communicating statistics: How does the communication of statistics influence their use and how they are valued? What factors ought to be considered in the communication of statistics, for example the audience, uncertainty around the estimates?
Office for Statistics Regulation, 2023
statistics
communication
use
value
audience
uncertainty
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Cross-cutting interests
Wider evidence landscape: How are statistics valued and used in the wider evidence landscape, such as in comparison to privately produced statistics, anecdotal evidence or management information, and what influences this? What sets official statistics apart within the wider evidence landscape, how well is this understood, and how does this influence confidence in them, their use and how they are valued?
Office for Statistics Regulation, 2023
statistics
evidence landscape
confidence
official statistics
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Cross-cutting interests
Changing world: How have evolutions in our statistical system (such as the greater focus on administrative sources for statistics) influenced how statistics are produced, used, and valued? How may advances in wider society (such as the increasing sophistication of large language models) influence how statistics are produced, used, and valued?
Office for Statistics Regulation, 2023
statistical system
administrative sources
wider society
large language models
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Cross-cutting interests
Interactions: How does the way that statistics are produced influence the value that users get from them, and how can this be addressed to maximise value? To what degree to statistics need to be directly used for them to provide value (or do people value outcomes from others using them instead)?
Office for Statistics Regulation, 2023
statistics
value
data production
data usage
data value
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