BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Historical Network Research - ECPv4.9.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Historical Network Research X-ORIGINAL-URL: X-WR-CALDESC:Events for Historical Network Research BEGIN:VEVENT DTSTART;VALUE=DATE:20180730 DTEND;VALUE=DATE:20180805 DTSTAMP:20190521T204839 CREATED:20180316T162338Z LAST-MODIFIED:20180316T162338Z SUMMARY:2nd Summer School on Methods for Computational Social Science DESCRIPTION:***Apologies for any cross-posting*** \nDear all\, \nWe would like to announce the second Summer School on Methods for Computational Social Science. The application is now open until March 20\, 2018. Please feel free to share the information. \n________________________ \nCALL FOR APPLICATIONS \n________________________ \n  \n2nd Summer School on Methods for Computational Social Science \nMethods for Analyzing and Modeling Textual Data \nJuly 30–August 4\, 2018 \nLos Angeles\, USA\n \ \nTwitter: @cs2_school\, #cs2_school \n \nSPEAKERS \nChris Bail\, Duke University \nMunmun De Choudhury\, Georgia Tech \nLaura Dietz\, University of New Hampshire \nJames Evans\, University of Chicago \nDavid Garcia\, Complexity Science Hub Vienna & Medical University of Vienna \nYolanda Gil\, University of Southern California \nBruno Gonçalve\, New York University \nArthur Spirling\, New York University \nDamian Trilling\, University of Amsterdam \n \nORGANIZERS \nClaudia Wagner\, GESIS – Leibniz-Institute for the Social Sciences & University of Koblenz-Landau \nEmilio Ferrara\, University of Southern California \nNicola Perra\, Greenwich University \nMichael Macy\, Cornell University \n  \nIMPORTANT DATES \nApplication deadline: March 20\, 2018 \nNotifications: April 5\, 2018 \nSummer School: July 30–August 4\, 2018 \n \nABOUT \nThe second summer school of this series focuses on methods for analyzing und modeling textual data (e.g. sentiment analysis\, latent semantic models\, causal inference methods for text data). We have invited outstanding speakers from different disciplines that will teach different methods and show how textual data can be used to answer interesting research questions that are relevant for the social sciences and gain insights into social phenomena like conflicts\, radicalization\, polarization and bias. Students will conduct small projects in which they will apply the newly learned methods and will be supervised by the invited speakers. \n \nWe will offer full financial support for up to 10 students (or early career researchers). Students have to apply for the travel grants and a committee of experts will select scholars based on academic excellence\, financial needs and diversity (e.g.\, gender\, ethnic and disciplinary diversity). \n \nHOW TO APPLY \nPlease submit your motivation letter (one page max)\, CV and publication list via EasyChair: \n \nThe school is open to anyone interested in learning about Computational Social Science. The aim is to bring together an heterogeneous international group of people. However\, we have a limited number of places for participants. That means everyone needs to apply (also if you have your own funding). \n \nCOSTS \nRegistration fee for the summer school is 100 USD. Lunch\, coffee breaks and a social event are included. \n \nFINANCIAL SUPPORT \nPlease indicate in your motivation letter if you would like to apply for a travel grant which will cover your registration fee\, accommodation for the whole week and basic travel costs. Please note that travel grants are intended for students. Please also indicate if you will only participate if you receive the travel grant or if we should also consider your application for normal positions if no travel grants are left. Students with travel grant will have to share rooms. \n \nBest regards\, \nDavid Brodesser \n—\nYou received this message because you are subscribed to the Google Groups “Computational Social Science Network” group.\nTo unsubscribe from this group and stop receiving emails from it\, send an email to\nTo post to this group\, send email to\nTo view this discussion on the web\, visit\nFor more options\, visit \n\n\n Related\n URL: END:VEVENT END:VCALENDAR