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DTSTART;VALUE=DATE:20260612
DTEND;VALUE=DATE:20260614
DTSTAMP:20260403T131352
CREATED:20251104T201656Z
LAST-MODIFIED:20251104T201656Z
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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
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260629
DTEND;VALUE=DATE:20260704
DTSTAMP:20260403T131352
CREATED:20260128T085818Z
LAST-MODIFIED:20260128T090741Z
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SUMMARY:Introduction to Qualitative Comparative Analysis (QCA)
DESCRIPTION:This five-day course introduces Qualitative Comparative Analysis (QCA)\, a set-theoretic method that enables researchers to analyze causal complexity by identifying necessary and sufficient configurations of conditions for an outcome. The course combines conceptual foundations with hands-on exercises\, including calibration\, necessity and sufficiency analysis\, truth tables\, and solution interpretation using R. \nInstructor:\nEva Thomann\, University of Konstanz
URL:https://compasss.org/event/introduction-to-qualitative-comparative-analysis-qca-2/
LOCATION:Central European University\, Vienna\, Austria
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://compasss.org/wp-content/uploads/2025/02/methodsnet_full_purple_small_1-removebg-preview-768x197-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260629
DTEND;VALUE=DATE:20260704
DTSTAMP:20260403T131352
CREATED:20260128T090112Z
LAST-MODIFIED:20260128T091208Z
UID:1731-1782691200-1783123199@compasss.org
SUMMARY:Introduction to Process Tracing Methods
DESCRIPTION:This five-day course provides an introduction to process tracing as a qualitative method for within-case causal inference. Participants learn how to theorize causal mechanisms\, collect and assess empirical evidence\, and apply process tracing to their own research designs. \nInstructor:\nHilde van Meegdenburg\, Leiden University
URL:https://compasss.org/event/introduction-to-process-tracing-methods/
LOCATION:Central European University\, Vienna\, Austria
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://compasss.org/wp-content/uploads/2025/02/methodsnet_full_purple_small_1-removebg-preview-768x197-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260629
DTEND;VALUE=DATE:20260704
DTSTAMP:20260403T131352
CREATED:20260128T090701Z
LAST-MODIFIED:20260128T091006Z
UID:1737-1782691200-1783123199@compasss.org
SUMMARY:Introduction to R
DESCRIPTION:This introductory course provides a practical introduction to R for social scientists. Participants learn the basics of R programming\, data import and cleaning\, data transformation\, visualization\, and reproducible research workflows. \nInstructor:\nDaniel Kovarek\, Central European University
URL:https://compasss.org/event/introduction-to-r/
LOCATION:Central European University\, Vienna\, Austria
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://compasss.org/wp-content/uploads/2025/02/methodsnet_full_purple_small_1-removebg-preview-768x197-1.png
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260706
DTEND;VALUE=DATE:20260711
DTSTAMP:20260403T131352
CREATED:20260128T090237Z
LAST-MODIFIED:20260128T091054Z
UID:1733-1783296000-1783727999@compasss.org
SUMMARY:Comparative Research Designs: Building and Conducting Your Comparative Project
DESCRIPTION:This advanced course supports participants in developing and implementing rigorous comparative research designs. Topics include the logic of comparison\, case selection\, data collection strategies\, analytical approaches across qualitative and quantitative methods\, and writing a coherent and defensible research design. \nInstructor:\nBenoît Rihoux\, Université catholique de Louvain
URL:https://compasss.org/event/comparative-research-designs-building-and-conducting-your-comparative-project/
LOCATION:Central European University\, Vienna\, Austria
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://compasss.org/wp-content/uploads/2025/02/methodsnet_full_purple_small_1-removebg-preview-768x197-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260706
DTEND;VALUE=DATE:20260711
DTSTAMP:20260403T131352
CREATED:20260128T090554Z
LAST-MODIFIED:20260128T091034Z
UID:1735-1783296000-1783727999@compasss.org
SUMMARY:Advanced QCA and Set-Theoretical Multi-Methods Research
DESCRIPTION:This advanced course builds on introductory QCA and focuses on state-of-the-art developments in set-theoretic methods. Topics include limited diversity\, robustness checks\, enhanced standard analysis\, theory evaluation\, and combining QCA with other qualitative methods such as process tracing\, using R. \nInstructor:\nIoana-Elena Oana\, European University Institute
URL:https://compasss.org/event/advanced-qca-and-set-theoretical-multi-methods-research/
LOCATION:Central European University\, Vienna\, Austria
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://compasss.org/wp-content/uploads/2025/02/methodsnet_full_purple_small_1-removebg-preview-768x197-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260817
DTEND;VALUE=DATE:20260822
DTSTAMP:20260403T131352
CREATED:20260302T123546Z
LAST-MODIFIED:20260302T123546Z
UID:1755-1786924800-1787356799@compasss.org
SUMMARY:Exploring Causal Complexity with Qualitative Comparative Analysis (QCA)\, Lugano
DESCRIPTION:Causal complexity is everywhere in the social sciences—yet most researchers lack the systematic tools to capture it rigorously. In this intensive 5-day workshop (28 contact hours) you will learn how to design\, apply\, and publish empirical research with Qualitative Comparative Analysis (QCA) in the R software environment. The course follows the comprehensive framework developed in Mello (2021\, Georgetown University Press)\, progressing systematically from the foundations of QCA to advanced applications. \nThe course emphasizes research design alongside analytical techniques\, addressing both conceptual foundations and practical application of QCA. You will follow an ideal-typical research process\, starting with empirical illustrations of where and how QCA is used in the social sciences. Foundational sessions explore key principles\, such as set theory\, Boolean algebra\, and the calibration of crisp and fuzzy sets\, while guiding you through the analytical protocol for identifying patterns of causal complexity using truth tables and Boolean minimization. \nThe course progresses step by step\, from study design to the interpretation of results\, incorporating hands-on exercises with examples from published studies and R script templates to adapt for your own purposes. Advanced topics—including multi-method research\, robustness tests\, and recent developments in QCA—will be tailored to your needs and research interests. Opportunities to present your individual project and explore potential applications further enhance the workshop. \nDesigned to be inclusive\, the workshop welcomes participants at all levels—from PhD students to senior researchers—and strikes a balance between theory\, practical exercises\, and individualized support. A strong emphasis on collaboration and dialogue in a small group setting ensures ample time for consultation\, group discussions\, and networking. By the end of the workshop\, you will be equipped with the theoretical knowledge and practical skills needed to apply QCA effectively\, providing a robust framework for addressing causal complexity in comparative social science research. \nThis course is part of the 30th Summer School in Social Sciences Methods. \nFor more information\, please visit https://www.usi.ch/en/education/summer-winter-school/ssm/exploring-causal-complexity-with-qualitative-comparative-analysis
URL:https://compasss.org/event/exploring-causal-complexity-with-qualitative-comparative-analysis-qca-lugano/
LOCATION:Università della Svizzera italiana (USI)\, Lugano West Campus\, Via Giuseppe Buffi 13\, Lugano\, CH-6900\, Switzerland
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://compasss.org/wp-content/uploads/2024/12/Screenshot-2024-12-16-at-16-29-34-.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260921
DTEND;VALUE=DATE:20260926
DTSTAMP:20260403T131352
CREATED:20260331T073937Z
LAST-MODIFIED:20260331T093851Z
UID:1763-1789948800-1790380799@compasss.org
SUMMARY:Qualitative Comparative Analysis (QCA) course (in Italian) at UniMORE\, Modena\, Italy | September\, 21-25 2026
DESCRIPTION:Five-day QCA course (taught in Italian) with focus on the calibration of qualitative data. The course is part the School in Qualitative and Mixed Methods hosted by the Fondazione Marco Biagi and the University of Modena and Reggio Emilia (UniMORE)\, Italy. \nCourse Overview: \nThe course offers the theoretical and methodological foundations to perform QCA\, from set-conceptualisation\, to configurational thinking\, to casing and data calibration. By means of examples and exercises\, the course focusses on the collection and calibration of qualitative data\, although the acquired knowledge and skills can be applied to any type of data for QCA performance. The participants will also take part in tutored classes in the afternoon to apply what they learned about QCA to their prospective or on-going research projects. The course also includes sessions on the practical application of QCA by using the R packages ‘QCA’ and ‘SetMethods’ in the R Studio environment by replicating selected published QCA papers.\nMore information on the course is available at this page. \nWho should attend: \nThis course targets Italian-speaking master and doctoral students\, postdoctoral researchers\, and faculty across the social and human sciences who are interested in configurational thinking using set-analytic methods to examine causal complexity. \nAbout QCA \nQualitative Comparative Analysis (QCA) has been introduced by Charles C. Ragin’s (1987) book ‘The Comparative Method.’ Rooted in historical comparative research in political sciences\, QCA expands the logic of qualitative analysis to multiple case studies. By following a formalised workflow\, QCA allows researchers to perform systematic cross-case comparison and assess the ‘fit’ of the obtained results in comparative terms by relying on specific parameters. \nMost interesting to QCA is the ‘shift of mindset’ required along all the stages of the research\, as cases have to be considered elements belonging to conditions (factors) and outcomes (‘effects’) conceptualised as sets. QCA rests on configurational thinking for the representation and explanation of the selected cases in the sample through the concepts of necessity and sufficiency\, equifinality\, multifinality and limited diversity\, which are the main elements composing causal complexity which characterises QCA. \nQCA is typically applied to samples composed of small- or intermediate-n (usually\, 10-50 cases)\, but it is increasingly used by researchers to examine large-n datasets from a configurational and set-theoretic logic. \nContact Information \nFor questions or additional information\, please contact dr. Sofia Pagliarin by writing to pagliarin@ihs.nl
URL:https://compasss.org/event/qualitative-comparative-analysis-qca-course-in-italian-at-unimore-modena-italy-september-21-25-2026/
LOCATION:UniMORE\, Modena\, Italy
CATEGORIES:Training
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