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:20210503T144331Z DESCRIPTION:Inhalt\nThis talk will provide an introductory overview of the emergence of computational social science (CSS) as a new research area com bining multidisciplinary methods and new types of data that promise to be valuable complements to surveys. The term digital behavioral data summariz es a broad variety of data captured by web-based platforms (most prominent ly platforms for online communication\, but also e.g. shopping portals or dating sites) and other digital technologies like smartphones\, fitness de vices\, or RFID sensors. Digital behavioral data result from traces that h umans are leaving when using these platforms\, i.e. the data is typically not a direct product of a scientifically predesigned research setup.\nThe talk showcases examples of digital behavioral data and how they have been used in past CSS research to learn about or predict behavior\, characteris tics\, or opinions of platform users. It provides the basis for a series o f talks from the area of CSS that will take a closer look at individual st rategies for collecting digital behavioral data\, different methods data a nalysis and different use cases for social science research.\nVortragende\ n Dr. Katrin Weller leads the team Social Analytics and Services and is deputy head of the Computational Social Science department at GESIS. Sh e holds a PhD in information science and is interested in understanding sc ientific communication structures in online environments. Her work also qu estions data archiving and sharing surrounding social media data. She was Digital Studies Fellow at the US Library of Congress.\n \n DTEND;TZID="W. Europe Standard Time":20210624T140000 DTSTAMP:20210413T081257Z DTSTART;TZID="W. Europe Standard Time":20210624T130000 LAST-MODIFIED:20210503T144331Z LOCATION:Zoom PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=de:A short introduction to Computational Social Science an d Digital Behavioural Data (in English) TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E0080000000050C10C4F4D30D701000000000000000 01000000015B168D57E525242B6E40FC4E12855B7 X-ALT-DESC;FMTTYPE=text/html:

Inhalt

This talk will provide an introductory o verview of the emergence of computational social science (CSS) as a new re search area combining multidisciplinary methods and new types of data that promise to be valuable complements to surveys. The term digital behaviora l data summarizes a broad variety of data captured by web-based platforms (most prominently platforms for online communication\, but also e.g. shopp ing portals or dating sites) and other digital technologies like smartphon es\, fitness devices\, or RFID sensors. Digital behavioral data result fro m traces that humans are leaving when using these platforms\, i.e. the dat a is typically not a direct product of a scientifically predesigned resear ch setup.

The talk showcases examples of digital behavioral data and how th ey have been used in past CSS research to learn about or predict behavior\ , characteristics\, or opinions of platform users. It provides the basis f or a series of talks from the area of CSS that will take a closer look at individual strategies for collecting digital behavioral data\, different m ethods data analysis and different use cases for social science research.< o:p>

Vortragende

 \;Dr. Katrin Weller  \; leads the team Social Analytics and Services and is deputy head of the Com putational Social Science department at GESIS. She holds a PhD in informat ion science and is interested in understanding scientific communication st ructures in online environments. Her work also questions data archiving an d sharing surrounding social media data. She was Digital Studies Fellow at the US Library of Congress.

 \;

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