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Events available for Registration...
Events in the month of March 2026
March 6-7, 2026
Virginia Tech
Call for Abstracts: We welcome extended abstracts (between 600-1,200 words) for papers on any topic in the philosophy of the social sciences, especially those that allow interdisciplinary research connections and that are consequential for practicing social scientists. The two-day workshop will allow intensive discussion of the work of its contributors.
Please email submissions to phi.soc.sci@gmail.com no later than December 15, 2025. Abstracts should be blinded and attached to the email as a Microsoft Word document; please include your full name and affiliation in the accompanying email; please also indicate if you would like to be considered for the award for best graduate submission; lastly, please indicate if you would like to be considered for a travel stipend, as some might be available on a case by case basis.
Papers in all areas of the philosophy of the social sciences are encouraged, including in the philosophy of economics and political science, as well as in underrepresented areas, such as the philosophy of psychology and philosophy of history. Selected papers will be published in a special issue of Philosophy of the Social Sciences.
This year’s Roundtable will host Maggie Penn (Political Science and Data & Decision Sciences, Emory) and Jennifer Raff (Anthropology, University of Kansas) as keynote speakers. We will have an 'author-meets-critics’ session with Armin Schulz (Philosophy, Kansas University) on his new book It's Only Human: The Evolution of Distinctively Human Cognition. Commentators will be Daniel Kelly (Purdue University) and Ron Mallon (Washington University in Saint Louis).
The Roundtable is supported by the David H. Kellogg Center for Philosophy, Politics, and Economics, the Department of Philosophy, the Center for Humanities, and the College of Liberal Arts and Human Sciences at Virginia Tech.
Guest editors: Tobias Henschen (Konstanz), James Ladyman (Bristol)
Topical Collection Description:
Philosophers interested in causality have usually analyzed it in the context of non-complex systems, and philosophers interested in complexity have not considered its implications for philosophical analyses of causality. Recently scientists and philosophers become increasingly aware of the ubiquity of complex systems, and philosophers have begun to respond by producing detailed studies of complexity (for example, Ladyman and Wiesner (2020) What is a Complex System?), and by examining some of the conceptual and/or inferential disconnections between complex systems and accounts of causality. Failure of explanation, prediction and control of complex systems can come with a substantial scientific and social cost, but can be overcome (climate scientists, for instance, overcome disconnections between nonlinearity and probability or interventionist accounts of causality when using classes of models to predict or project values of variables). There also appear to be important conceptual connections between complexity features and accounts of causality. A connection that is currently of interest to many philosophers and metaphysicians of science is that between emergence and causality (or modality more generally). These connections may also include the conceptual connection between (spontaneous) order and probabilistic accounts of causality. This topical collection will bring together work that analyzes the conceptual and/or inferential connections and disconnections between (specific) accounts of causality and (specific) features of (specific) complex systems. Standard examples of complex systems include condensed matter, the universe, the climate, eusocial animals, the economy, the world wide web, and the (human) brain. Features that are often regarded as indicative of complex systems include emergent nonlinearity, spontaneous order and organization, robustness, modularity and nested structure, and adaptive behavior. Specific accounts of causality include probability, interventionist, and conserved quantity accounts of (efficient) causality.
For further information, please contact Tobias Henschen (corresponding guest editor): tobias.henschen@uni-konstanz.de
The deadline for submissions is 31 March 2026.
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Friday, March 6, 2026 - Saturday, March 7, 2026
Philosophy of Social Science RoundtableMarch 6-7, 2026
Virginia Tech
Call for Abstracts: We welcome extended abstracts (between 600-1,200 words) for papers on any topic in the philosophy of the social sciences, especially those that allow interdisciplinary research connections and that are consequential for practicing social scientists. The two-day workshop will allow intensive discussion of the work of its contributors.
Please email submissions to phi.soc.sci@gmail.com no later than December 15, 2025. Abstracts should be blinded and attached to the email as a Microsoft Word document; please include your full name and affiliation in the accompanying email; please also indicate if you would like to be considered for the award for best graduate submission; lastly, please indicate if you would like to be considered for a travel stipend, as some might be available on a case by case basis.
Papers in all areas of the philosophy of the social sciences are encouraged, including in the philosophy of economics and political science, as well as in underrepresented areas, such as the philosophy of psychology and philosophy of history. Selected papers will be published in a special issue of Philosophy of the Social Sciences.
This year’s Roundtable will host Maggie Penn (Political Science and Data & Decision Sciences, Emory) and Jennifer Raff (Anthropology, University of Kansas) as keynote speakers. We will have an 'author-meets-critics’ session with Armin Schulz (Philosophy, Kansas University) on his new book It's Only Human: The Evolution of Distinctively Human Cognition. Commentators will be Daniel Kelly (Purdue University) and Ron Mallon (Washington University in Saint Louis).
The Roundtable is supported by the David H. Kellogg Center for Philosophy, Politics, and Economics, the Department of Philosophy, the Center for Humanities, and the College of Liberal Arts and Human Sciences at Virginia Tech.
Tuesday, March 31, 2026
Call for Papers: European Journal for Philosophy of Science topical collection on causality in complex systemsGuest editors: Tobias Henschen (Konstanz), James Ladyman (Bristol)
Topical Collection Description:
Philosophers interested in causality have usually analyzed it in the context of non-complex systems, and philosophers interested in complexity have not considered its implications for philosophical analyses of causality. Recently scientists and philosophers become increasingly aware of the ubiquity of complex systems, and philosophers have begun to respond by producing detailed studies of complexity (for example, Ladyman and Wiesner (2020) What is a Complex System?), and by examining some of the conceptual and/or inferential disconnections between complex systems and accounts of causality. Failure of explanation, prediction and control of complex systems can come with a substantial scientific and social cost, but can be overcome (climate scientists, for instance, overcome disconnections between nonlinearity and probability or interventionist accounts of causality when using classes of models to predict or project values of variables). There also appear to be important conceptual connections between complexity features and accounts of causality. A connection that is currently of interest to many philosophers and metaphysicians of science is that between emergence and causality (or modality more generally). These connections may also include the conceptual connection between (spontaneous) order and probabilistic accounts of causality. This topical collection will bring together work that analyzes the conceptual and/or inferential connections and disconnections between (specific) accounts of causality and (specific) features of (specific) complex systems. Standard examples of complex systems include condensed matter, the universe, the climate, eusocial animals, the economy, the world wide web, and the (human) brain. Features that are often regarded as indicative of complex systems include emergent nonlinearity, spontaneous order and organization, robustness, modularity and nested structure, and adaptive behavior. Specific accounts of causality include probability, interventionist, and conserved quantity accounts of (efficient) causality.
For further information, please contact Tobias Henschen (corresponding guest editor): tobias.henschen@uni-konstanz.de
The deadline for submissions is 31 March 2026.