CIECE Centro de Investigación en Epistemología de las Ciencias Económicas Fue creado por resolución del Consejo Directivo, con fecha 24 de junio de 2002.

El CIECE es un Centro de Investigación dependiente del Instituto de Investigaciones Económicas de la Facultad de Ciencias Económicas de la Universidad de Buenos Aires. Este Centro es y ha sido unidad de ejecución de numerosos proyectos de investigación financiados por la UBA, el FONCyT y el CONICET, y ha contribuido y contribuye a la formación de gran número de becarios y tesistas de grado y pos-g

rado. La producción de conocimiento de este Centro y su intercambio con otros Centros de Investigación extranjeros es difundida mediante la publicación de los Documentos del CIECE, publicaciones especiales, como libros o compilaciones, y a través de las Jornadas de Epistemología de las Ciencias Económicas, que son organizadas anualmente desde 1995. En dichas Jornadas participan destacados especialistas de nuestro país, América y Europa, cuyos trabajos se publican en las Actas de las Jornadas, de periodicidad anual, y en los Documentos del CIECE. Además, nuestros investigadores asisten y presentan trabajos en encuentros científicos nacionales e internacionales. De este modo el CIECE propicia la cooperación nacional, regional e internacional y la transferencia de conocimientos a la sociedad.

04/12/2025

SEMINARIOS CIECE 2025

ULTIMA REUNION 2025 :­ JUEVES 11/12/25 15:00hs, AULA IIEP-sector Olivera
Invitamos a la última actividad del CIECE en 2025

Seminario:

Críticas al teorema de representación en teoría de la medición

Eduardo R. Scarano

CIECE – IIEP (UBA-CONICET)

https://economicas.uba.ar/iiep/scarano-eduardo/

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Al finalizar el seminario se hará una recorrida sobre las actividades del CIECE en 2025 y se harán propuestas para el próximo año.

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Críticas al teorema de representación en teoría de la medición

Eduardo R. Scarano

CIECE – IIEP (UBA-CONICET)

https://economicas.uba.ar/iiep/scarano-eduardo/

RESUMEN

Realizar mediciones es prácticamente sinónimo de hacer ciencia desde la modernidad, tanto en la construcción de teorías y modelos como en una amplia gama de aplicaciones, por ejemplo, la construcción de sistemas de datos para la toma de decisiones a nivel gubernamental o de los agentes económicos (censos, nivel de precios mayoristas, estados contables).

Sin embargo, una teoría de la medición sistemática y fundada (metrización) se produjo tardíamente y en pasos sucesivos: por primera vez Helmholtz (1887) formuló las condiciones que un sistema empírico debía reunir para ser representado mediante números, Hölder (1901) expuso formalmente las condiciones para la representación de una magnitud mediante números, y Stevens (1946) formuló el problema de la unicidad de la asignación de números a las magnitudes (escalas). La unificación de estas perspectivas desde un abordaje conjuntístico se debe a Suppes (1951) y culmina en la obra fundamental en tres volúmenes Foundations of Measurement (1971, 1989 ,1990) de Suppes, Krantz, Luce, Tversky y otros.

Sin embargo, desde hace una década surgen críticas a las limitaciones de este enfoque (Adams, Philippi, Tal, Heilman, Rizza entre otros) para formular una metrización que recoja las mediciones que realizan tanto los científicos como quienes aplican teorías para resolver problemas. Estas críticas se refieren principalmente a la exclusión de aspectos de las mediciones que no pueden ser reflejados por la formalización, es decir, esta es insuficiente para comprender la asignación de números a los objetos; a los diferentes supuestos mediante los cuales se caracterizan los sistemas empíricos que implican magnitudes incompatibles y a las operaciones empíricas por las cuales se los genera (‘instrumentos de medición’); o a la naturaleza misma de la representación, o sea, podría ser no necesariamente mediante números sino mediante otros sistemas no numéricos.

En esta presentación nos focalizaremos en prácticas científicas del campo de los fenómenos económicos -fácilmente extrapolable a otros-, en las cuales se realizan mediciones que a pesar de no cumplir cabalmente con el teorema de representación constituyen piezas imprescindibles en la construcción de teorías y de su validación; e intentaremos considerar cómo estos resultados deben incorporarse en la metrización.

Discutiremos las mediciones que implican probabilidades, las que utilizan la escala de Likert y las que se expresan mediante la moneda como un estado contable.



Referencias

Adams, E. W. (1979). Measurement theory. P. D. Asquith & H. E. Kyburg Eds., Current research in phi¬losophy of science (207–227).

Heilmann, C. (2015). A new interpretation of the representational theory of measurement. Philosophy of Science, 82, 787–797.

Kuhn, T. (1993). La tensión esencial. México: FCE, 2ª reimpresión; cap. VIII

Philippi, C. L. (2021). On measurement scales: neither ordinal nor interval? Philosophy of Science, 88, 929–939.

Rizza, D. (2025). Measurement theory in the context of scientific enquiry. Synthese, 206, Article 32.

Tal, E. (2021). Two myths of representational measurement. Perspectives on Science, 29, 701–741.

CALL FOR PAPERS MODEL-BASED REASONING EPISTEMOLOGY, ARTIFICIAL INTELLIGENCE, COGNITIVE SCIENCEApologies for Multiple Pos...
27/11/2025

CALL FOR PAPERS MODEL-BASED REASONING EPISTEMOLOGY, ARTIFICIAL INTELLIGENCE, COGNITIVE SCIENCE

Apologies for Multiple Postings
CALL FOR PAPERS: DEADLINE January 10th, 2026
To unsubscribe, please contact [email protected]

Proceedings will be published by Springer
Series "SAPERE" http://www.springer.com/series/10087
Selected technical papers will be published in special issues of the
Logic Journal of the IGPL

*************************************************************

MODEL-BASED REASONING
EPISTEMOLOGY, ARTIFICIAL INTELLIGENCE, COGNITIVE SCIENCE

MBR026_ROME (Tenth International MBR Conference)

Chairs: Selene Arfini, Emiliano Ippoliti, Lorenzo Magnani

June 17-19, 2026 - Rome, Italy

Venue:
Department of Philosophy
Sapienza University of Rome
Villa Mirafiori - Via Carlo Fea 2,
00161 Roma
Rooms: II, VI, X

**************************************************************

KEY DATES

Deadline for extended abstract submissions: January 10, 2026
Notification of acceptance: February 20, 2026
Early registration deadline (discounted rate): March 10, 2026
Late registration deadline: before April 15, 2026
Conference dates: June 17-19, 2026
Final paper submission deadline: September 30, 2026

CONGRESS WEBSITE: https://mbr026.com/

MBR COMMUNITY WEBSITE
http://www-9.unipv.it/webphilos_lab/wordpress/index.php/research/mbr-community/

INVITED SPEAKERS
Sorin Bangu - University of Bergen
Marta Bertolaso - University Campus Bio-Medico of Rome
Axel Gelfert - Technische Universität, Berlin
James Ladyman - University of Bristol
Lorenzo Magnani - University of Pavia
Patricia Palacios - University of Salzburg
Demetris Portides - University of Cyprus
Viola Schiaffonati - Politecnico di Milano

SCIENTIFIC COMMITTEE: https://mbr026.com/scientific-committee/
********************************************************************************

Organization:
- Department of Philosophy, Sapienza University of Rome
- Department of Humanities, Philosophy Section, University of Pavia
Under the patronage of the Italian Society of Logic and Philosophy of
Science (SILFS)

PROGRAM

The conference will investigate the logical, epistemological, and
cognitive dimensions of modeling practices across science, technology
(with particular attention to AI), and cognitive science. This includes
both logical and computational approaches to modeling. We welcome
submissions that analyze model-based reasoning from a variety of
perspectives: philosophical, logical, epistemological, historical,
sociological, psychological, or computational. Additionally, the
conference will address how model-based reasoning contributes to the
development and enhancement of human cognitive abilities, whether
mental, embodied, hybrid, or tool-assisted.

The conference will only be in person.

SUBMISSION OF EXTENDED ABSTRACTS AND SYMPOSIA PROPOSALS

Presentation Proposals
To participate in the conference, authors must submit a 1000-1500 word
extended abstract by January 10th, 2026, in .pdf format.
A 300-word summary for the conference booklet and website must also be
included.
Authors should submit the abstracts using this form:
https://forms.gle/2RiHxv2ezPS91Ku88

Symposia Proposals
Proposals for symposia, typically involving 3-4-5 participants, should
be submitted as a 2-page .pdf document by January 10th, 2026 at this
link: https://forms.gle/2RiHxv2ezPS91Ku88

All extended abstracts will undergo peer review. The final structure of
the conference will be determined following the review process.
Following the conference, authors of accepted proposals may submit a
complete manuscript for the proceedings.

PROCEEDINGS

Submitted papers must be original, unpublished, and written in English.
Manuscripts should be prepared using either LaTeX (with a preference for
BibTeX for references) or Microsoft Word, and should not exceed 20 pages
in length.
Accepted papers will be published in the Springer SAPERE series
(https://www.springer.com/series/10087).
In addition, a selection of technical papers will be considered, pending
further peer review, for inclusion in one or two special issues of The
Logic Journal of IGPL (OUP), which have previously hosted contributions
from past MBR conferences (MBR98, MBR01, MBR04, MBR06_CHINA,
MBR09_BRAZIL, MBR015_ITALY, MBR018_SPAIN, MBR023_ROME).

The final deadline for submission is September 30th, 2026. Please send
the files to Matteo Costa, [email protected]

RELEVANT RESEARCH AREAS

We welcome contributions addressing topics such as:
- General theoretical and cognitive issues in model-based reasoning
- Models as fictions, distortions, credible worlds
- Creative reasoning
- Models and games of make-believe
- Ontology of models
- Affordances, artifacts, and model-based reasoning
- Brain, neuroscience, and model-based reasoning
- Abduction
- Logical analyses related to model-based reasoning
- Inferences, interaction and duality in logic and language
- Visual, spatial, imagistic modeling and reasoning
- Simulative modeling
- Surrogative reasoning
- The role of diagrammatic reasoning
- Computational models of visual and simulative reasoning
- Causal and counterfactual reasoning in model construction
- Visual analogy
- Thought experiments
- Manipulative reasoning
- Distributed model-based reasoning
- Distributed cognition, embodiment, and model-based reasoning
- Models of rationality and inference patterns in decision making
- Model-based reasoning in scientific discovery and conceptual change
- Model-based reasoning and ethics
- Model-based reasoning and finance
- Model-based reasoning and economics
- Model-based reasoning and history of philosophy
- Model-based reasoning and semiotics
- Model-based reasoning in scientific explanation
- Model-based medical diagnosis
- Model-based reasoning in engineering and robotics
- Model-based reasoning and technological artifacts
- Model-based reasoning and knowledge management
- Model-based reasoning and information technology
- Model-based reasoning and AI
- Model-based reasoning and learning
- Model-based reasoning and language
- The role of models in scientific and technological thinking

FEES AND REGISTRATION

The registration fee covers participation in all MBR conference sessions
and includes access to the social dinner.

Early Registration (before March 10, 2026):
* Standard: euro 250
* PhD students and independent researchers: euro 150
* Bachelor's and Master's degree students: euro 60

Late Registration (after March 10, 2026):
* Standard: euro 300
* PhD students and independent researchers: euro 200
* Bachelor's and Master's degree students: euro 75

Additional Options:
* One-day attendance: euro 100
* Social dinner only: euro 45

Cancellation Policy:
Cancellations must be submitted in writing. An administrative fee of 75
euros will be applied to cancellations made before May 22, 2026. No
refunds will be issued for cancellations received after that date.

Payment Methods:
Payments can be made via credit card or bank transfer upon registration
through the official conference website.
Every participant must complete the form at this link to register for
the conference: https://forms.gle/xfqxA396WqBdk1iQ6

CHAIRS
- Selene Arfini
Department of Humanities - Philosophy Section, University of Pavia
Piazza Botta 6, 27100 Pavia, ITALY
Email: [email protected]

- Emiliano Ippoliti
Department of Philosophy, Sapienza University of Rome
Via Carlo Fea 2, 00161 Rome, ITALY
Email: [email protected]

- Lorenzo Magnani
Director, Computational Philosophy Laboratory
http://www-9.unipv.it/webphilos_lab/wordpress/
Department of Humanities - Philosophy Section, University of Pavia
Piazza Botta 6, 27100 Pavia, ITALY
Email: [email protected]

LOCAL ORGANIZATION

Matteo Costa [email protected]
Emiliano Ippoliti [email protected]

HOW TO GET TO Villa Mirafiori (Department of Philosophy, Sapienza
University of Rome)

From Fiumicino Airport (Leonardo da Vinci):
Take the Leonardo Express train to Roma Termini (about 35 minutes). Once
at Termini Station, follow the directions above to reach Villa Mirafiori
via bus 90.

From Termini Station:
Head to Piazza dei Cinquecento and board bus number 90 in the direction
of "L***a." Ride for four stops and get off at "Nomentana/XXI Aprile."
The journey takes approximately 15 minutes.

PREVIOUS MBR CONFERENCES

The conference continues the themes and scholarly traditions established
by the previous nine editions of the MBR (Model-Based Reasoning)
conference series:

* Model-Based Reasoning in Scientific Discovery (MBR'98), Pavia, Italy
* Model-Based Reasoning: Scientific Discovery, Technological Innovation,
and Values (MBR'01), Pavia Italy
* Model-Based Reasoning in Science and Engineering: Abduction,
Visualization, and Simulation (MBR'04), Pavia, Italy
* Model-Based Reasoning in Science and Medicine (MBR06_CHINA),
Guangzhou, P. R. China
* Model-Based Reasoning in Science and Technology: Abduction, Logic, and
Computational Discovery (MBR09_BRAZIL), Campinas, Brazil
* Model-Based Reasoning in Science and Technology: Theoretical and
Cognitive Issues (MBR12_ITALY), Sestri Levante, Italy
* Model-Based Reasoning in Science and Technology: Models and Inferences
Logical, Epistemological, and Cognitive Issues (MBR15_ITALY), Sestri
Levante, Italy
* Model-Based Reasoning in Science and Technology: Inferential Models
for Logic, Language, Cognition, and Computation (MBR018_SPAIN), Seville,
Spain
* Model-Based Reasoning in Science and Technology: Inferences & Models
in Science, Logic, Language, and Technology (MBR023_ROME), Rome, Italy

The proceedings from these conferences have been published in the
following volumes:

- L. Magnani, N. J. Nersessian, and P. Thagard (eds.) (1999),
Model-Based Reasoning in Scientific Discovery, Kluwer Academic/Plenum
Publishers, New York. http://www.wkap.nl/prod/b/0-306-46292-3 (Chinese
edition, translated and edited by Q. Yu and T. Wang, China Science and
Technology Press, Beijing, 2000).
- L. Magnani and N. J. Nersessian (eds.) (2002), Model-Based Reasoning.
Science, Technology, Values, Kluwer Academic/Plenum Publishers, New
York. http://www.wkap.nl/prod/b/0-306-47244-9
- L. Magnani, N. J. Nersessian, and C. Pizzi (eds.) (2002), Logical and
Computational Aspects of Model-Based Reasoning, Kluwer Academic,
Dordrecht. http://www.wkap.nl/prod/b/1-4020-0791-4
- P. Li, X. Chen, Z. Zhang, and H. Zhang (eds.)(2004), Science,
Cognition, and Consciousness, JiangXi People's Press, Nanchang, China.
- L. Magnani and Li. Ping (eds.) (2006), Philosophical Investigations
from a Perspective of Cognition, Guangdong People's Publishing House,
Guangzhou, (published in Chinese).
- L. Magnani (2006) (ed.), Model-Based Reasoning in Science and
Engineering. Cognitive Science, Epistemology, Logic, College
Publications, London.
http://www.amazon.co.uk/Model-Based-Reasoning-Science-Engineering/dp/1904987230
- L. Magnani and P. Li (eds.) (2007), Model-Based Reasoning in Science,
Technology, and Medicine, Series "Studies in Computational
Intelligence", Vol. 64, Springer, Berlin/New York.
http://www.springer.com/engineering/book/978-3-540-71985-4
- L. Magnani, W. Carnielli, C. Pizzi (eds.) (2010) Model-Based Reasoning
in Science and Technology Abduction, Logic, and Computational Discovery,
Series "Studies in Computational Intelligence", Vol. 314, Springer,
Heidelberg/Berlin. http://www.springer.com/us/book/9783642152221
- L. Magnani (ed.) (2014) Model-Based Reasoning in Science and
Technology. Theoretical and Cognitive Issues, Series "Sapere", Vol. 8,
Springer, Heidelberg/Berlin. http://www.springer.com/us/book/9783642374272
- L. Magnani and C. Casadio (eds.) (2016), Model-Based Reasoning in
Science and Technology. Logical, Epistemological, and Cognitive Issues,
Springer, Switzerland, Series "Sapere"
http://www.springer.com/us/book/9783319389820
- A. Nepomuceno, L. Magnani, F. Salguero, C. Bar s and M. Fontaine
(eds.) (2019), Model-Based Reasoning in Science and Technology -
Inferential Models for Logic, Language, Cognition and Computation,
Springer, Cham, Switzerland.
- E. Ippoliti, S. Arfini, L. Magnani (eds) (2024). Model-Based
Reasoning, Abductive Cognition, Creativity. Springer, Cham.

A selection of papers from previous MBR conferences has appeared in
esteemed international journals, including Philosophia, Foundations of
Science, and the Logic Journal of the IGPL.

Recent handbooks reflecting the research developed within the MBR
community include:
- L. Magnani, T. Bertolotti (eds.) (2017) Springer Handbook of
Model-Based Science, Springer, Switzerland
http://www.springer.com/us/book/9783319305257

L. Magnani (ed.) (2022) Handbook of abductive cognition , Springer,
Switzerland
(https://link.springer.com/referencework/10.1007/978-3-030-68436-5).

--
CENTRO DE INVESTIGACION EN EPISTEMOLOGIA DE LAS CIENCIAS ECONOMICAS (CIECE)
Facultad de Ciencias Económicas - Universidad de Buenos Aires
Av. Córdoba 2122, 1r. pìso
(C1120 AAQ) | Ciudad Autónoma de Buenos Aires | República Argentina
URL:https://ciece.economicas.uba.ar/

This handbook offers the first comprehensive reference guide to the interdisciplinary field of model-based reasoning. It highlights the role of models as mediators between theory and experimentation, and as educational devices, as well as their relevance in testing hypotheses and explanatory functio...

Seminario de investigación – viernes 28 de noviembre, 17-19 hs. Aula Olivera (FCE, 1r. piso)El problema de la credibilid...
25/11/2025

Seminario de investigación – viernes 28 de noviembre, 17-19 hs. Aula Olivera (FCE, 1r. piso)

El problema de la credibilidad estratégica en la revolución de la credibilidad

Lucas Miranda

Faro UDD - Universidad del Desarrollo, Santiago de Chile.

Resumen:

La así llamada revolución de la credibilidad (Angrist & Pischke, 2010) ha transformado la manera en que se responden las preguntas causales en economía. El uso de evidencia experimental y cuasi-experimental se ha ganado un sitio prominente en el mainstream económico. Esto se evidencia en la asignación de los Premios Nobel de economía de los años 2019, 2021 y 2024 y en una serie de investigaciones que muestran cómo el “giro empírico” ha avanzado en las publicaciones de los principales journals de economía (Donovan, 2018; Angrist, 2022). No obstante, el enfoque ha sufrido una serie de críticas (Heckman & Pinto, 2015; Deaton & Cartwright, 2018a, 2018b).
Este escenario reclama una evaluación de la revolución de la credibilidad que se haga cargo de estas críticas. El presente trabajo se enmarca en este proyecto y busca profundizar en la comprensión de uno de los aspectos que sus promotores han destacado. De acuerdo a Angrist & Pischke (2010) la crisis en economía empírica que Leamer identificara (1983) se explica en parte por la posibilidad de que los investigadores usaran whimsical assumptions en la especificación de sus modelos empíricos
Los métodos que la revolución de la credibilidad destaca, limitarían las opciones del investigador. ¿Por qué esta atadura de manos conduciría a una investigación empírica más creíble? El trabajo busca echar luces sobre esta pregunta modelando la credibilidad de la investigación empírica como un problema estratégico. El modelo sirve para expresar distintas aproximaciones: la de la econometría que usa whimsical assumptions, el uso de extreme bound analysis (Leamer, 1983; Sala-i-Martin, 1997) y la limitación de opciones propia del enfoque experimental. Se muestra cómo en este último caso la credibilidad de la investigación constituye un equilibro y se sugieren líneas de investigación para abordar las preguntas que este modelo motiva pero no responde.

El seminario es organizado por el CIECE (https://ciece.economicas.uba.ar/)

CENTRO DE INVESTIGACION EN EPISTEMOLOGIA DE LAS CIENCIAS ECONOMICAS Conferencia – Measurement theory in the context of scientific enquiry Ver Más Presentación del libro Filosofía de la Economía y Workshop

15/11/2025

Jornadas...

Symposium on Ethics & Epistemology in Artificial Intelligence📍 Venue and Time: School of Economic Sciences, University o...
10/11/2025

Symposium on Ethics & Epistemology in Artificial Intelligence
📍 Venue and Time: School of Economic Sciences, University of Buenos Aires (UBA) Av. Córdoba 2122, Buenos Aires, Argentina 🗓 Wednesday, November 12, 2025 – 3.30pm

Organized by:
CIECE – Research Center in Epistemology of Economic Sciences
Language: English
Speakers
Steven Gouveia (University of Porto)
Abstract:
Medical AI and Abduction & Effective Altruism framework: In this talk, we argue that addressing the “Trust Gap” in AI requires a focus on explanations from an Explainable AI (xAI) perspective. Current xAI frameworks fall short, so we propose a pragmatist turn that draws on how explanations function among human agents. Human explanations are typically (i) social and (ii) abductive, providing understanding by answering contrastive why-questions: “Why did X happen instead of Y?” (Miller, 2019). Testing this notion in AI, we examine the capacity of different systems for social and abductive reasoning. In particular, Large Language Models (LLMs) and transformer architectures show notable potential to engage in abductive reasoning. Leveraging these capabilities could improve the interpretability of AI outputs and enhance trust between AI systems and human users, helping bridge the Trust Gap across a variety of domains.

Mariana Olezza (UBA/CIECE) Abstract:
Continuity and Rupture: The (Non)Convergence of Scientific Paradigms in Computing and Economics: This presentation reflects on Peirce’s fallibilism (Hetherington, 2025) and its implications for understanding scientific convergence. While Peirce’s synechism conceives the universe as a continuum, fallibilism (Burch, 2021) reminds us that any metaphysical or epistemological stance remains provisional. Within this framework, two sciences illustrate divergent tendencies: computing and economics. Early computing was grounded in determinism—logical machines and deductive systems (Peirce, 1887). Yet, with the emergence of Artificial Neural Networks (ANNs), Big Data, Generative Adversarial Networks (GANs) (Goodfellow et al., 2014), Large Language Models (LLMs) (Vaswani et al., 2017), questions arise about whether deterministic machines can replicate human cognition. Some researchers uphold determinism; others see cognition as an indeterminate, self-organizing phenomenon. Similarly, in economics, classical and neoclassical models presuppose determinism—perfect rationality and convergence to equilibrium—whereas Keynesian and post-Keynesian traditions embrace indeterminism, emphasizing uncertainty, history, and discretion.
👔
Moderator
Javier Legris (UBA/IIEP-CONICET)
Aula del sector Olivera del IIEP (1r. piso)

--
CENTRO DE INVESTIGACIÓN EN EPISTEMOLOGÍA DE LAS CIENCIAS ECONÓMICAS (CIECE)
Facultad de Ciencias Económicas - Universidad de Buenos Aires
Av. Córdoba 2122, 1r. pìso
(C1120 AAQ) | Ciudad Autónoma de Buenos Aires | República Argentina
URL:

CENTRO DE INVESTIGACION EN EPISTEMOLOGIA DE LAS CIENCIAS ECONOMICAS Conferencia – Measurement theory in the context of scientific enquiry Ver Más Presentación del libro Filosofía de la Economía y Workshop

26/10/2025

Dear All,
As previously announced, the first Naples Workshop on the History of Logic will take place on October 28-29, marking the beginning of the second annual cycle of our seminar series. The full programme and the book of abstracts are now available on the Workshop's website, at this page:
https://sites.google.com/.../hol.../speakers-programme-boa.

To receive the Zoom link for remote attendance, please check this page:
https://sites.google.com/.../hol.../contacts-registration.

Kind regards,
Francesco Montesi
Antonio Piccolomini d'Aragona
Francesco Pisano

Send a message to learn more

24/10/2025

3 November 2025, 18:00 - Rome time
Open to the public. No registration required
Zoom link (Clikear)
https://uniroma1.zoom.us/j/83256366925?utm_source=substack&utm_medium=email
18:00 Frank Hindriks (Groningen), The Social Ontology of Money
18:20 Debate
Interviewer: Johannes P. Smit (Stellenbosch)
Chair: Emiliano Ippoliti (Roma Sapienza)
Organization: Emiliano Ippoliti (Roma Sapienza); Lisa Warenski (CUNY Graduate Center and University of Connecticut)
Abstract
In this interview, Frank tackles a fundamental question: Is money an object? While paper currency is typically viewed as a tangible, material entity, this characterization becomes problematic in the case of electronic money. John Searle argues that institutional statuses—such as money and property—are imposed upon concrete objects. Yet he treats electronic money as an exception, contending that, since it is instantiated through computer systems, its status as money is not imposed on any physical substrate. This enigmatic claim, however, leaves its ontological status unclear. Frank therefore examines four alternatives to the view that money must always be a concrete object: it might instead be an abstract object, or a property of an agent. A further two possibilities are that (1) money is a concrete object in some cases and an abstract object in others, or (2) it is concrete in some contexts and a property of an agent in others. To assess the plausibility of these options, the discussion turns to the broader nature and functions of institutions.
A debate follows the interview.
‘In Conversation: Exploring the Philosophy of Money and Finance’ is a series of meetings that explore the relationship between philosophy, money, and finance. Each interview is followed by a live debate, encouraging active audience participation. The sessions (interview plus debate) are 30 minutes long.
Thanks for reading Phinance - The Philosophy and Finance Network! Subscribe for free to receive new posts
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CENTRO DE INVESTIGACION EN EPISTEMOLOGIA DE LAS CIENCIAS ECONOMICAS (CIECE)
Facultad de Ciencias Económicas - Universidad de Buenos Aires
Av. Córdoba 2122, 1r. pìso

Send a message to learn more

Dirección

Buenos Aires

Notificaciones

Sé el primero en enterarse y déjanos enviarle un correo electrónico cuando CIECE publique noticias y promociones. Su dirección de correo electrónico no se utilizará para ningún otro fin, y puede darse de baja en cualquier momento.

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