BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//COMPASSS - ECPv6.15.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://compasss.org
X-WR-CALDESC:Events for COMPASSS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20250309T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20251102T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20260308T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20261101T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20270314T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20271107T070000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260608
DTEND;VALUE=DATE:20260613
DTSTAMP:20260404T180938
CREATED:20260302T122020Z
LAST-MODIFIED:20260302T123105Z
UID:1750-1780876800-1781308799@compasss.org
SUMMARY:Crisp and Fuzzy Set Qualitative Comparative Analysis (QCA) Course at GSERM\, St. Gallen\, Switzerland | June 8-12\, 2026
DESCRIPTION:Five-day QCA course as part of the Global School in Empirical Research Methods (GSERM)\, hosted by the University of St. Gallen\, Switzerland \nCourse Overview \nThis intensive workshop provides a thorough introduction to both crisp- and fuzzy-set Qualitative Comparative Analysis (QCA). Participants receive hands-on instruction with the fsQCA software package and develop the skills necessary to design and execute research projects using set-analytic approaches. \nWho should attend: \nThis course is intended for doctoral students\, postdoctoral researchers\, and faculty across the social sciences who are interested in studying configurational phenomena and causal complexity using set-analytic methods. \nAbout QCA \nQualitative Comparative Analysis combines analytical techniques with a conceptual framework ideal for studying configurational phenomena. It excels at analyzing causally complex situations characterized by multiple\, conjunctural causation—where various factors interact in complex ways to produce outcomes. \nDeveloped in the 1980s by sociologist and political scientist Charles Ragin\, QCA bridges the gap between primarily qualitative\, case-oriented approaches and primarily quantitative\, variable-oriented approaches. \nQCA employs Boolean algebra to analyze set relations\, allowing researchers to formally identify patterns of necessity and sufficiency for outcomes of interest. Since its inception\, QCA has evolved into a diverse set of techniques sharing a set-analytic foundation\, encompassing both descriptive and inferential methodologies. \nApplications \nAs a formal approach for data analysis\, QCA can be applied to essentially any setting\, but it is particularly valuable for analyzing datasets with relatively few observations (traditionally 10-50 cases). Recent developments have expanded QCA applications to medium- and large-N situations involving hundreds or even thousands of cases. While these applications require methodological adaptations\, they maintain QCA’s advantages for analyzing configurational phenomena and causal complexity. \nContact Information \nFor questions or additional information\, please contact me at fiss@marshall.usc.edu. \nThe complete course manual can be found here: Complete course details and application information here
URL:https://compasss.org/event/crisp-and-fuzzy-set-qualitative-comparative-analysis-qca-course-at-gserm-st-gallen-switzerland-june-8-12-2026/
LOCATION:GSERM\, University of St. Gallen\, Tellstrasse 2 9000 St. Gallen\, St. Gallen\, Switzerland
CATEGORIES:Training
ATTACH;FMTTYPE=image/jpeg:https://compasss.org/wp-content/uploads/2026/03/Screenshot-2026-03-02-at-13-30-23-University-of-St.Gallen-–-GSERM.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260612
DTEND;VALUE=DATE:20260614
DTSTAMP:20260404T180938
CREATED:20251104T201656Z
LAST-MODIFIED:20251104T201656Z
UID:1687-1781222400-1781395199@compasss.org
SUMMARY:5th International Conference on Current Issues in Coincidence Analysis
DESCRIPTION:We are pleased to announce the 5th International Conference on “Current Issues on Coincidence Analysis\,” scheduled to take place on June 12-13\, 2026\, at UC Berkeley\, School of Social Welfare. This conference serves as a premier platform for the exchange of ideas and collaboration between Coincidence Analysis (CNA) methodologists and applied researchers. \nConference Scope: The conference will feature discussions on the latest methodological developments in CNA\, addressing open questions and challenges in the field. Moreover\, researchers will have the opportunity to showcase exemplary applications of CNA from any discipline\, as well as theoretical or conceptual developments. \nHighlights: \n\nInvited talks by leading CNA experts\nContributed paper presentations\nNetworking opportunities\n\nWe now invite the submission of extended abstracts for contributed papers. Submissions may cover three main areas: Applied (utilizing CNA to analyze empirical data)\, methodological (further developing the CNA method and its technical aspects)\, or theoretical (advancing the theory of causation underpinning CNA). We request extended abstracts of up to 1000 words that clearly outline the research question\, methodology\, key findings\, and contribution to the field. All submissions will undergo a peer-review process. To submit an abstract\, fill out this form. The submission deadline is March 13\, 2026. Notification of acceptance will occur by March 28\, 2026. \nConference Venue: UC Berkeley\, School of Social Welfare \nContact Information: For any inquiries or additional information\, please contact michael.baumgartner@uib.no.
URL:https://compasss.org/event/5th-international-conference-on-current-issues-in-coincidence-analysis/
LOCATION:University of California\, Berkeley School of Social Welfare and the Peder Sather Center\, Berkeley\, United States
CATEGORIES:Conferences
END:VEVENT
END:VCALENDAR