Thursday 16 June 22

Start and welcome in room 102, Drift 25, Utrecht

App Ecosystems: a crtitical history of apps.

Break with coffee/tea

ESSnet Smart Surveys: Smart features, machine learning and privacy

Practicing what we preach – A hands-on experience with MOTUS’ modular capacities in an experimental study on mobility.

Measuring Air Quality with Wearable Devices

Integrating data donations, wearables and ESM to understand smartphone use and sleep: effects, compliance and reactivity

Daily space-time activities, multiple environmental exposures, and anxiety symptoms: A cross-sectional mobile phone-based sensing study

Mobile Apps in Surveys with Refugees – Potentials and Limitations of Representation

A total error framework for digital sensor data

For Whom Is It Worth It? Comparing Accelerometer and Survey Data For Sociodemographic Subgroups

Typing or Speaking? Comparing Text and Voice Answers to Open Questions on Sensitive Topics in Smartphone Surveys

Boat tour Utrecht (at own expense)

Dinner (at own expense)

Optimising methods of recruitment to a smartphone panel study: Do efforts to reduce privacy concerns improve stated willingness to agree to sensor data collection?

Willingness to participate in in-the-moment surveys triggered by geolocation data

Predicting App Adoption Rate Curves Using Time Series Modelling and Nearest Neighbors

Designing App-Diaries – What works, what doesn’t? Results from an in-depth pretest for the German Time-Use-Survey

“DeliverAndo”: Combining traditional survey data, ecological momentary assessments, and GPS sensor data through a smartphone-based travel app

Nonresponse and Dropout in an App-Based Household Budget Survey: Representativity, Interventions to Increase Response, and Data Quality

How much does your smartphone know about your social life? Similarities and discrepancies between experience sampling- and mobile sensing-based assessments of daily social behavior

Is tracking all that it takes? An exploration of the validity of metered data measurements

Dynamic time warping based multiple imputation for large gaps in time series

Closing session and futher steps in MASS

End of the workshop