BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:W. Europe Standard Time BEGIN:STANDARD DTSTART:16011028T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010325T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20210503T144452Z DESCRIPTION:Inhalt\nThe use of digital behavioral data (DBD) is one of the key features of computational social science. These data have several adva ntages compared to other types of data\, such as survey data. For example\ , DBD are generally less costly to collect and less prone to being influen ced by social desirability than survey data\, and they allow for capturing behavior immediately when it occurs instead of ex-post\, thus\, reducing problems related to recall. At the same time\, however\, DBD also have spe cific limitations. These include a lack of information about the individua ls (e.g.\, regarding their demographics\, personality traits\, or attitude s) or the fact that they provide only limited information about offline ac tivities. Yet the measurement of individual attributes and attitudes as we ll as self-reported behaviors across domains is what surveys are well-suit ed for. Combining survey data and DBD therefore leverages the unique stren gths of these two data types\, while also addressing some of their respect ive limitations.\nThis talk discusses the benefits of combining survey dat a with DBD and the challenges associated with this approach. We will prese nt different ways of linking surveys and DBD and address key challenges re garding linking procedures\, informed consent\, and data privacy.\nVortrag ende\nDr. Johannes Breuer is as a senior researcher in the team Data Linking & Data Security at GESIS where his work focuses on data linking an d the use of digital trace data. He holds a Ph.D. in psychology and his re search interests include the use and effects of digital media\, computatio nal methods\, data management\, and open science.\nDr. Sebastian Stier is a senior researcher in the Computational Social Science department at GESIS. He holds a PhD in political science and conducts research in the f ields of political communication\, comparative politics\, and computationa l social science.\n \n DTEND;TZID="W. Europe Standard Time":20210708T140000 DTSTAMP:20210413T081514Z DTSTART;TZID="W. Europe Standard Time":20210708T130000 LAST-MODIFIED:20210503T144452Z LOCATION:Zoom PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=de:Combining Survey Data and Digital Behavioural Data (in English) TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000C0B90ED04D30D701000000000000000 010000000424E630B049E23438B08F11DB137229F X-ALT-DESC;FMTTYPE=text/html:

Inhalt

The use of digital behavioral data (DBD) is one of the key features of computational social science. These data ha ve several advantages compared to other types of data\, such as survey dat a. For example\, DBD are generally less costly to collect and less prone t o being influenced by social desirability than survey data\, and they allo w for capturing behavior immediately when it occurs instead of ex-post\, t hus\, reducing problems related to recall. At the same time\, however\, DB D also have specific limitations. These include a lack of information abou t the individuals (e.g.\, regarding their demographics\, personality trait s\, or attitudes) or the fact that they provide only limited information a bout offline activities. Yet the measurement of individual attributes and attitudes as well as self-reported behaviors across domains is what survey s are well-suited for. Combining survey data and DBD therefore leverages t he unique strengths of these two data types\, while also addressing some o f their respective limitations.

This talk discusses the benefits of combini ng survey data with DBD and the challenges associated with this approach. We will present different ways of linking surveys and DBD and address key challenges regarding linking procedures\, informed consent\, and data priv acy.

Vortrage nde

Dr. Johanne s Breuer is as a senior researcher in the team Data Linking &\; Data Security at GESI S where his work focuses on data linking and the use of digital trace data . He holds a Ph.D. in psychology and his research interests include the us e and effects of digital media\, computational methods\, data management\, and open science.

Dr. Sebastian Stier is a senior researcher in the Computational Social Science dep artment at GESIS. He holds a PhD in political science and conducts researc h in the fields of political communication\, comparative politics\, and co mputational social science.

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