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Programme for the 6th MASS workshop, 4-5 June 2025
The 2025 MASS workshop is organised jointly by the London School of Economics and the MASS organising committee
 Wednesday 4 June
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| 9:00 | Opening and welcome address | Patrick Sturgis (department of Methodology, LSE) |
| 9:30 | Session 1: Recruitment for MASS studies | |
| Evaluating Incentive Strategies to Boost Participation in Mobile-based Experience Sampling Study in a Urban Population |
Abdur-Rahman Ridwan (Department of Social Statistics, University of Manchester)
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| Engaging and involving respondents in smart data collection: A case study in the Dutch National Travel Survey |
Jelmer de Groot (Statistics Netherlands)
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| Incentivising participation in an app-based Time Use Survey |
Jimena Sobrino Piazza and Caroline Roberts (Institute of Social Sciences, University of Lausanne)
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| 10:30 | Break | |
| 11:00 | Session 2: App design | |
| The effect of control in data collection on the willingness to participate in an app-based study |
Thijs Carrière and Bella Struminskaya (Utrecht University)
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| Insights from Developing an Internet Usage Study within a National Adolescent Longitudinal Study |
Larissa Pople (University College London), Nicholas Gilby (IPSOS), Emla Fitzsimons (University College London), Jess Deighton (Anna Freud), Tanya Lereya (Anna Freud), Jess Stepanous (Anna Freud), Christy Lai(IPSOS), and Julia Pye (IPSOS)
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| Integrating Sensor and Survey Data: Representativeness in Event-based Sampling |
Mareike Wieland, Charlotte de Alwis, Lukas Otto, and Julian Kohne (GESIS – Leibniz Institute for the Social Sciences, Cologne)
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| 12:00 | Lunch | |
| 13:30 | Keynote 1: Learning from the People: Responsibly Encouraging Data Sharing for Public Good | Elissa Redmiles (Georgtown University) |
| 14:30 | Session 3: Wearables | |
| Measuring Air Quality with Wearable Devices |
Arie Kapteyn (Center for Economic and Social Research, University of Southern California), Htay-Wah Saw (Center for Economic and Social Research, University of Southern California & Michigan Program in Survey and Data Science (MPSDS), University of Michigan-Ann Arbor), and Bas Weerman(Center for Economic and Social Research, University of Southern California)
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| Reciprocal Effects of Day-to-Day Sleep and Smartphone Use: Within- and Between-Person Evidence from an iPhone and Apple Watch Data Donation Design |
Paulien Decorte (University of Antwerp & University of Maastricht), Karolien Poels (University of Antwerp), Cedric Vuye (University of Antwerp), Jonas Lembrechts (Utrecht University), Ablenya Barros (University of Antwerp), Karolien Couscheir (University of Antwerp), and Gert-Jan De Bruijn (University of Antwerp)
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| American Life in Realtime: benchmark person-generated health data for generalizable precision health |
Ritika R. Chaturvedi, Marco Angrisani (University of Southern California), Wendy M. Troxel (RAND Corporation), Tania Gutsche, Sze-chuan Suen (University of Southern California) Alok R. Chaturvedi, Hossein Ghasemkhani (Purdue University) Arie Kapteyn (University of Southern California)
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| 15:30 | Break | |
| 16:00 | Session 4: Audio, video | |
| Mobile voice surveys: Evaluating response quality using text and voice features |
Ailin Liu (LMU Munich), Joshua Claaßen (DZHW, Leibniz University Hannover), Christoph Kern (LMU Munich), Jan Karem Höhne (DZHW, Leibniz University Hannover), and Frauke Kreuter(LMU Munich)
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| App-Based Data Collection in Birth Cohorts: Implementation of a Video Function in the BabySteps App |
Jessica van de Grint (University of Cambridge), Laurel Fish (University College London), Marialivia Bernardi (University College London), and Pasco Fearon (University College London/University of Cambridge)
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| Explaining item-nonresponse in open voice responses collected through the built-in microphones of smartphones |
Camilla Salvatore (Utrecht University) and Jan Karem Höhne (DZHW, Leibniz University Hannover)
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| 17:00 | End of day 1 | |
| 17:30 | Social activity (at own expense) | |
| 19:00 | Dinner | |
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Thursday 5 June
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| 9:00 | Session 5: Participation and dropout | |
| Sample Loss and Participation Bias in the UASFin Study (SAS) |
Mick P. Couper (University of Michigan), Marco Angrisani (University of Southern California), and Arie Kapteyn (University of Southern California)
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| Asking panel respondents to complete additional data collection tasks: Which types of tasks increase panel dropout and which types of respondents are we more likely to lose? |
Jasmine Mitchell and Annette Jäckle (University of Essex)
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| Using Apps to Motivate Respondents: Experiences from an Experiment in a Refugee Panel Study |
Florian Heinritz (Leibniz Institute for Educational Trajectories) , Michael Ruland (infas Institute for Applied Social Sciences), Thom Weiß (infas Institute for Applied Social Sciences), Katharina Sandbrink (infas Institute for Applied Social Sciences), and Jutta von Maurice (Leibniz Institute for Educational Trajectories)
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| 10:00 | Session 6: Measurement quality | |
| Mobile device tracking: Explaining discrepancies between survey self-reports and digitally tracked behavior |
Joshua Claassen (DZHW, Leibniz University Hannover), Oriol J. Bosch (Oxford University), and Jan Karem Höhne (DZHW, Leibniz University Hannover)
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| Use of an app to collect physical measures: The selection and measurement effects compared to alternate methods of collecting hip and waist measures. |
Jonathan Burton (University of Essex), Mick P. Couper (University of Michigan), Annette Jäckle (University of Essex), and Paulo Serodio(University of Essex)
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| 10:40 | break | |
| 11:10 | Session 7: Platforms | |
| Advancing Mobile-Friendly Digital Trace Data Donation on the Next Platform |
Adriënne Mendrik (Eyra), Florian Keusch (University of Mannheim), Frieder Rodewald (University of Mannheim), Rowdy van Looy (Eyra), Neo Cheung (Eyra), and Melle Lieuwes(Eyra)
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| Building a research app infrastructure for data collection using smartphone sensing |
Bella Struminskaya, Thijs Carriere, Niek de Schipper, and Laura Boeschoten (Utrecht University)
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| Beautiful and Functional: Mobile Layout, User Experience, and Survey App Development for the LISS Panel |
Joris Mulder (Centerdata, Tilburg University)
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| 12:10 | Lunch | |
| 13:10 | Session 8: Machine Learning | |
| Classifying Products on Receipts in Smart Surveys using Machine Learning |
Chris Lam, Tim de Jong, and Marco Puts (Statistics Netherlands)
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| Digital phenotyping for symptom tracking of trauma-related mental health disorders: abstract |
Emily Gillings & Daniel Leightley (King’s College London)
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| 13:50 | Session 9: Geolocation data | |
| How smart are smart travel surveys? Evaluating trip segmentation, travel motive, and travel mode predictions |
Yvonne Gootzen, Jonas Klingwort, Maaike Kompier, and Vera Toepoel (Statistics Netherlands)
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| How many diary days? An exploration of burden and statistical value in three smart diary studies |
Danielle Remmerswaal (Utrecht University & Statistics Netherlands), Barry Schouten (Statistics Netherlands), and Bella Struminskaya (Utrecht University)
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| Real-Time Insights into Healthy Ageing: Environmental Factors and Person-Environment Interactions Shaping Mobility of Older Adults |
Peichao Liang (The University of Hong Kong)
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| 14:50 | Break | |
| 15:20 | Session 10: Open app open data | |
| The Value and Challenges of Making Survey and Digital Trace Datasets Available for Open Access |
Riza Battista-Navarro, Marta Cantijoch, Alex Cernat, Conor Gaughan, and Rachel Gibson (University of Manchester)
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| Developing a Typology for Publicly Available Activity Sensing Data |
Fiona Draxler (University of Mannheim), Yannik Peters (GESIS), and Vanessa Lux (GESIS)
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| Permission Granted? Overcoming the Human and the Technical Challenges in Unlocking Digital Lifestyles with the Octopus app |
Bence Ságvári (HUN-REN Centre for Social Sciences, Corvinus University of Budapest, Indiana University Bloomington), Bence Kollányi (HUN-REN Centre for Social Sciences), and Attila Gulyás (HUN-REN Centre for Social Sciences)
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| 16:20 | Closing session | |
| 17:00 | End of workshop |