Understanding Social Data: Insights on Migration and Data Quality

Explore the complexities of social data through migration examples, data quality assessments, and considerations on using imperfect data in models. Gain insights into the importance of acknowledging uncertainty, ethical concerns, and describing data quality criteria in a general-purpose context. Discover how data is utilized in agent-based models and contact experts for further understanding.

• Social Data
• Migration
• Data Quality
• Uncertainty
• Agent-Based Models

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Uploaded on Oct 09, 2024 | 0 Views

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1. Understanding social data: An example of migration Dr Sarah Nurse and Prof. Jakub Bijak University of Southampton photo: iStockphoto.com/Andy_Oxley

2. Assessing different aspects of data quality

3. Using imperfect data in models: the way forward

4. Some considerations 1. There are no perfect social data, so a quality assessment is always necessary 2. Sources of uncertainty need to be formally acknowledged, ideally through probabilities 3. The context of data collection, the social and ethical concerns, are also important

5. Describing data quality General-purpose criteria, bias and variance

6. Using data in agent-based models Type of data Micro Macro Context Input Input Process Input Output

7. Understanding social data: An example of migration Contact: S.L.Nurse@soton.ac.uk J.Bijak@soton.ac.uk photo: iStockphoto.com/Andy_Oxley