Smart surveys: Data collection and logistics 1 |
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| Coordinator 1 | Dr Anne Elevelt (Statistics Netherlands) |
| Coordinator 2 | Dr Bella Struminskaya (Utrecht University) |
| Coordinator 3 | Dr Vera Toepoel (Statistics Netherlands) |
Smartphones and sensors can be used to extend traditional data collection. Smart surveys combine primary and secondary data collection and are a hybrid from between traditional types of data (e.g. survey data) and new forms of data (e.g. sensor data and other forms of big data). This includes smartphone apps, external sensors (e.g. wearables or smart meters) and data donation. Smart surveys aim at easing the response task, decreasing the respondent burden and/or improving data measurement accuracy.
Smart surveys are thus very promising, but there are still many questions about how we can successfully apply them on a large scale. Do people really want to participate? How do we convince them? And will they continue to participate if a survey takes several days? In this session we focus on how on collect data in large-scale smart survey projects. We would like to share experiences from ongoing pilots and large-scale projects, and open up a discussion so that we can better exploit smart surveys potential.
In this session, we invite papers that focus on the logistics and data collection strategies of smart survey projects. This includes topics such as:
- Examples of logistics and data collection strategies
- Current practices, implementations or survey protocols
- Design choices in smart survey projects
- Sampling and contacting respondents
- Recruitment strategies, such as interviewers, letters and incentives
- Strategies to reduce drop-out and increase respondent motivation over time
In addition, all other topics relevant to the session are welcome. For questions please contact the session organisers.