AS Sponsored Workshop. October 14-15, 2021 GESIS – Leibniz Institute for the Social Sciences in Mannheim. Organizers: Sebastian E. Wenz, Nora Müller, and Klaus Pforr (GESIS)   Understanding how an intervention or treatment did or would change the course of the world or how a particular state of the world came about, requires an understanding of cause and effect. The currently dominant perspective of counterfactual causality was subject of two AS sponsored workshops in 2019 and 2020. This third workshop builds on both by addressing a specific but fundamental topic in causal inference: effect heterogeneity. Effect heterogeneity is present whenever individual-level causal effects deviate from the average effect. Traditionally, social scientists have been tackling effect heterogeneity mainly through interaction terms. Recently, technically more ...
...  advanced and substantively different approaches—e.g., parametric and nonparametric techniques based on propensity scores, quantile regression models—have gained popularity and are subject of ongoing debates. This workshop picks up on these recent approaches and debates from three different angles:
  • Interpretation of heterogeneous effects
  • Estimating heterogeneous effects with observational and experimental data
  • Machine learning techniques for specification search
Keynotes will be given by Jennie E. Brand (UCLA), and Richard Breen (Nuffield College, Oxford University). See full Call for Applications here (submission deadline 30 June, 2021).
Read more Workshop at German Centre for Higher Education Research and Science Studies (DZHW), Sep 27-28, 2021   The past years have witnessed a surge of new data allowing researchers to more precisely examine the nature, determinants, and effects of spatial mobility. Sophisticated survey designs, geo-referenced data, the extension of bibliometric data-bases, social media data, and new ways of linking datasets have increased the possibilities of research on spatial mobility and integration in addressing previously hard-to-examine questions. These methodological developments highlight the pressing need for a discussion about the potentials and pitfalls of newly available data and methods in research on spatial mobility and integration. Relevant questions include:
  • How can data collection methods help to overcome problems of sample selection bias?
  • Which new methods have become available in these fields, and how can they be applied to improve the estimation of causal effects?
  • To what extent do new data collection techniques and empirical methods call into question established findings in research on spatial mobility and integration?
  • How do they pave new thematic avenues for these fields in the future, and what hinders theoretical and methodological progress?
For Call for Papers click here (submission deadline May 15, 2021)
Read more AS Sponsored Workshop, October 26-27, 2021 Max Planck Institute for Demographic Research, Rostock. Organizers: Christian Dudel, Mine Kühn, Mikko Myrskylä (Rostock) This event brings together researchers to present and discuss recent developments in life course analysis and to contribute to advancing the field, including (1) theoretical perspectives on the life course; (2) methodological innovations in quantitative methods and qualitative methods; and (3) empirical applications of the life course approach from across the social sciences and beyond, including studies on health, families, labor markets, and migration. We are planning an in-person meeting (hybrid/virtual presentation)if the pandemic situation permits. If necessary, the conference will take place fully virtually.   See call for papers here (submission deadline May 31, 2021). Image: (c) Andrea Piacquadio / Pexels AS Sponsored Workshop, May 6-7, 2021 Deutsches Institut für Wirtschaftsforschung - Online. Organizer: Magdalena Krieger For this workshop, we seek contributions from junior researchers whose quantitative research deals with this intersection and interdependence of migration and gender. The workshop invites research on topics such as but not limited to: See full program here. For free registration write to: AS Sponsored Online Workshop, April 30, 2021 MethodenKompetenzZentrum, Chemnitz University of Technology. Organizers: Jochen Mayerl, Anja Strobel, Frank Asbrock   Open Science practices offer increasing access to open data and research literature, and research processes are becoming more transparent. Open Science also promises to have an impact on fundamental procedures in peer review processes as well as transparency and replicability of research processes and results. In addition, Open Science increases the possibility for international collaboration even during the ongoing research process and enables a large number of researchers to join forces and work together on one research question. During this conference we will discuss consequences and possibilities of these aspects as well as their implementation. For all talks and keynotes call here. For registration details click here. AS Sponsored Workshop, July 28-30, 2021 Nuffield College, University of Oxford. Organizers: Tobias Rüttenauer (Nuffield College, Oxford), Sebastian Mader (Bern)   Drawing on the successful initial symposium held at the University of Bern in August 2020, we invite to join the 2nd meeting on “Environmental Social Sciences: Challenges and Solutions for Sustainable Development”. We want to create and continue an international forum for analytical-empirical environmental social scientists to foster interdisciplinary exchange and collaboration especially among young scholars. The aim is to harvest the synergies between the social sciences for fruitful interdisciplinary research that the solution of environmental problems demands. For call for papers click here (submission deadline: April 11, 2021).   (Foto: Ena Marinkovic/Pexels) Contemporary societies face challenges that require a high degree of social cohesion in terms of effectively addressing them. Some argue that societies are characterized by declining social cohesion, while others dispute this diagnosis. Here, sociology, based on rigorous theoretical considerations and empirical analysis, can help to clarify the theoretical mechanisms at work and develop methods to enable a better understanding of the social dynamics that hinder or promote social cohesion or division. Click here for Call for Papers - deadline May 31st, 2021. Conference website is coming soon. 2020 SICSS Conference in Konszanz - co-sponsored by Academy of Sociology - postponed to 2021. The Summer Institute in Computational Social Science (SICSS) will host a partner location at University of Konstanz. The purpose of SICSS Konstanz is to bring together interested Master students, PhD students, postdoctoral students and junior faculty in Germany. The Summer Institute is for both social scientists (broadly conceived) and data scientists (broadly conceived). The instructional program will involve lectures and group problem sets in the first week and participant-led research projects in the second week. Participants will be able to work in teams to learn how to implement the material from the lectures. SICSS Konstanz will particularly focus on inference in Computational Social Science and potential issues with regards to measuring latent variables, causal explanation and generalization of study results.
Covered topics include collecting digital trace data, automated text analysis, estimation of latent traits, adjustments for non-probability samples and missing data, and digital field experiments. There will be ample opportunities for students to discuss their ideas and research with the organizers, other participants and visiting speakers. In addition to providing state of the art education, SICSS Konstanz has the goal to build and expand the network of computational social scientists in Germany. Because we are committed to open and reproducible research, all materials created by faculty and students for the Summer Institute will be released open source. Local organizers: Karsten Donnay, Carsten Schwemmer, Peter Selb, Susumu Shikano See SICSS website for more information.
Read more AS Sponsored Workshop Mannheim Centre for European Social Research (MZES). Organizers: Johanna Gereke (MZES), Gerrit Bauer (LMU Munich), Hannah Soiné (MZES).   Bringing replication into the university curriculum in the social sciences furthers students’ quantitative literacy skills and introduces them to good research practice using a learning-by-doing approach. This workshop connects scholars who already taught replication seminars with those who are interested in doing so in the future. It is an opportunity for (junior) scholars and lecturers to exchange ideas, develop a network and learn from others who have experience teaching replication to students. The workshop will be held in presence. Virtual attendance is also possible. Download Call for applications here (extended submission deadline: August 1st, 2020). For more information see here. AS Sponsored Workshop, October 8-9, 2020 DZHW Hannover. Organizers: Sebastian Lang, Ulrike Schwabe, Monika Jungbauer-Gans (DZHW).   The workshop aims to discuss and reflect up-to-date developments in research and open questions on causality from an interdisciplinary perspective. 1) It deepens the understanding of causality in the social sciences on a theoretical-analytical level; 2) It highlights research designs and statistical methods to support causal interpretation on an applied empirical level; (3) It provides a place to discuss results of replication studies directly confronting naïve and more sophisticated estimation strategies. Core questions to be addressed are related to the general relation between description and explanation, the counterfactual approach itself, adequate estimation strategies for causal
inference, advantages and disadvantages of experimental and observational data. The workshop is also open to other aspects related to causality and causal inference. Download CfP here (submission deadline: May 31, 2020). More information to be found here.
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