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  • Mobile devices are ubiquitous, and a large number of people have them with them almost all of the time. This provides huge opportunities for computational social science research. On the one hand, mobile data allows for ‘in-the-moment' measures of self-reports, using mobile experience sampling or digital diaries. On the other hand, smartphones and other mobile devices produce sensing and tracking data that can be used to measure people’s behavior in a very fine-grained and unobtrusive way. In combination, mobile designs and mobile digital behavioral data might answer questions in social science research that are hard to tackle otherwise. Despite this potential, the landscape for mobile research software is still scattered – and scientifically tested, stable, sustainable, and accessible solutions are scarce. We talked about this with Mareike Wieland and Lukas Otto. Both are researchers in the Computational Social Science Department at GESIS – Leibniz-Institute for the Social Sciences in Cologne. Lukas leads the team “Designed Digital Data”. He holds a PhD in Psychology from the University of Koblenz-Landau. His main research interests are political communication, media effects, mobile methods, and longitudinal data analysis. Mareike is the service manager for the GESIS AppKit, a data collection infrastructure for smartphone survey and sensor data that is currently developed by GESIS. She holds a PhD in journalism and communication studies from the University of Hamburg. Her research focuses on the use, perception and processing of (political) information in automated and mobile news environments. The interview was conducted by Indira Sen and Leon Fröhling on May 11, 2023. The interview has been edited for clarity and length. (de)
  • Mobile devices are ubiquitous, and a large number of people have them with them almost all of the time. This provides huge opportunities for computational social science research. On the one hand, mobile data allows for ‘in-the-moment' measures of self-reports, using mobile experience sampling or digital diaries. On the other hand, smartphones and other mobile devices produce sensing and tracking data that can be used to measure people’s behavior in a very fine-grained and unobtrusive way. In combination, mobile designs and mobile digital behavioral data might answer questions in social science research that are hard to tackle otherwise. Despite this potential, the landscape for mobile research software is still scattered – and scientifically tested, stable, sustainable, and accessible solutions are scarce. We talked about this with Mareike Wieland and Lukas Otto. Both are researchers in the Computational Social Science Department at GESIS – Leibniz-Institute for the Social Sciences in Cologne. Lukas leads the team “Designed Digital Data”. He holds a PhD in Psychology from the University of Koblenz-Landau. His main research interests are political communication, media effects, mobile methods, and longitudinal data analysis. Mareike is the service manager for the GESIS AppKit, a data collection infrastructure for smartphone survey and sensor data that is currently developed by GESIS. She holds a PhD in journalism and communication studies from the University of Hamburg. Her research focuses on the use, perception and processing of (political) information in automated and mobile news environments. The interview was conducted by Indira Sen and Leon Fröhling on May 11, 2023. The interview has been edited for clarity and length. (en)
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  • Otto, L., Wieland, M. (2024): Expert Insights into Collecting Data with Mobile applications. An Interview with Lukas Otto and Mareike Wieland (=GESIS Guides to Digital Behavioral Data, 18). Cologne: GESIS – Leibniz Insti- tute for the Social Sciences. (de)
  • Otto, L., Wieland, M. (2024): Expert Insights into Collecting Data with Mobile applications. An Interview with Lukas Otto and Mareike Wieland (=GESIS Guides to Digital Behavioral Data, 18). Cologne: GESIS – Leibniz Insti- tute for the Social Sciences. (en)
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  • 2024 (xsd:gyear)
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  • 2024 (xsd:gyear)
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  • Expert Insights into Collecting Data with Mobile Applications - An Interview with Lukas Otto and Mareike Wieland (de)
  • Expert Insights into Collecting Data with Mobile Applications - An Interview with Lukas Otto and Mareike Wieland (en)
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  • gesis_guides (en)
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  • GESIS-Guides (xsd:string)
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  • 1.0 (en)
  • 1.0 (de)