Intro

Algorithmic society! While the expression has been justly criticized – difficult indeed to imagine a society reduced solely to digitally-mediated relationships – it has the merit of underlining the omnipresence of computerized methods of calculation (i.e., algorithms) and their seemingly irresistible extension. Recommender systems, image generators, surveillance devices, automatic correctors, chat bots: not a single day goes by without our courses of action entangling themselves with hundreds of algorithms inscribed in the depths of more or less obscure computers.

For the past ten years, this state of affairs has fueled desires for regulation in more and more countries. The rationale is clear and legitimate: as one of the driving forces of what is commonly referred to – somewhat abstractly – as digital technology (and recently, even more abstractly, artificial intelligence), algorithms must comply with the legal and ethical frameworks of the societies they irrigate. But this is far from easy, not least because of the abstract contours of the notion of algorithm. Indeed, how are algorighms concretely constructed? What are the collective dynamics involved in their shaping? And how do these shaping dynamics affect the very content of algorithms? In short, what are the social and technical ingredients of algorithms, and how can we seize these ingredients to effectively regain control over algorithms, those black boxes that feed decisions, loves, and sorrows?

Answering these questions in order to help work out techno-political compromises is the big challenge that my colleagues and I in Science & Technology Studies (STS) – a subfield of sociology that aims at documenting the co-constitution of science, technology and the collective world – are taking up. Check out some of our propositions here! And if you want to reach out, use this: florian@florian-jaton.com

Publications

Peer-reviewed books

Jaton F (2021) The Constitution of Algorithms: Ground-Truthing, Programming, Formulating. Cambridge, MA: MIT Press. [PDF]

Discussed on the Radio Television Suisse, February 2024

Reviewed in La Revue d'Anthropologie des Connaissances, December 2022

Reviewed in Sociologisk Forskning, June 2022

Discussed on the CaMP Anthropology Website, May 2022

Discussed on the New Books Network Podcast, March 2022

Reviewed in TechTalks, February 2022

Reviewed in Libération, October 2021

Reviewed in The Social Epistemology Review and Reply Collective, September 2021

Reviewed in La Vie des Idées, August 2021

Peer-reviewed papers

Jaton F and Lenglet M (submitted) A critical praise of algorithmic agency: Phased wisdom, isomorphic trueness, and extrinsic intelligence. Theory, Culture & Society.

Jaton F (submitted) L’appel de l’ISO: Préparer une épreuve de standardisation en génomique computationnelle. Revue d'Anthropologie des Connaissances..

Jaton F (accepted) Examining algorithms in the light of their referential datasets: Results, critique, and avenues of reflection. Digital Society.

Rettberg JW, Crawford K, Schultz J, Taylor L, Suchman L, Andrejevic M, Gentelet K, Didier E, Jaton F, Li X, Dick S, Chun WHK, Canute M, and Ananny M (2024) An AI Society: Artificial intelligence is reshaping society, but human forces shape AI. Issues in Science and Technology 40(2): 76-88. [PDF]

Discussed by Frederick R. Chang and Arthur T. Johnson, Spring 2024

Discussed by Paula Muhr, Spring 2024

Discussed by Nathalie Guay and Clarence Okoh, Spring 2024

Discussed by Dennis Yi Tenen, Spring 2024

Jaton F and Sormani P (2023) Enabling ‘AI’? The situated production of commensurabilities. Social Studies of Science 53(5): 625-634. [PDF]

Jaton F (2023) Groundwork for AI: Enforcing a benchmark for neoantigen prediction in personalized cancer immunotherapy. Social Studies of Science 53(5) 787–810. [PDF]

Jaton F and Vinck D (2023) Politicizing algorithms by other means: Toward inquiries for affective dissensions. Perspectives on Science 31(1): 84-118. [PDF]

Jaton F (2022) Éléments pour une sociologie de l’activité de programmation: Inscriptions provisoires, chaînes de référence et indexations. RESET – Recherches en sciences sociales sur Internet 11: Online. [PDF]

Jaton F (2021) Assessing biases, relaxing moralism: On ground-truthing practices in machine learning design and application. Big Data & Society 8(1): 20539517211013569. [PDF]

Jaton F (2019) « Pardonnez cette platitude » : de l’intérêt des ethnographies de laboratoire pour l’étude des processus algorithmiques. Zilsel – Science, technique, société 5: 315-43. [PDF]

Vinck D, Camus A, Jaton F, Oberhauser PN (2018) Localités distribuées, globalités localisées : Actions, actants et médiations au service de l’ethnographie du numérique. Symposium 22(1): 41-60. [PDF]

Jaton F (2017) We get the algorithms of our ground truths: Designing referential databases in digital image processing. Social Studies of Science 46(7): 811-40. [PDF]

Jaton F and Vinck D (2016) Unfolding frictions in database projects. Revue d'anthropologie des connaissances 10(4) : a-m. DOI : 10.3917/rac.033.a. [PDF]

Jaton F et Vinck D (2016) Processus frictionnels de mises en bases de données. Revue d’Anthropologie des Connaissances 10(4): 489-501. [PDF]

Jaton F y Vinck D (2016) Procesos friccionales de puesta en bases de datos. Revue d'anthropologie des connaissances 10(4) : I-XVI.[PDF]

In the Press/On the Web

Ethnographie de l'intelligence artificielle, interview for the Radio Television Suisse, 28 February 2024.

Pourquoi la saga OpenAI aboutit au triomphe des partisans d'une accélération de l'Intelligence artificielle, interview in the Swiss newspaper Le Temps, 23 November 2023. [PDF]

Pour une explicitation généralisée du développement algorithmique : conception-problématisation et diffusion-performance, note for Permanences critiques, November 2023. [PDF]

Problématiser les algorithmes : théorie informatique et construction sociale, note for Décodage – le blog de l’ASSH, April 2023

Julie Patarin-Jossec – La fabrique de l'astronaute, review note for La Revue d'Anthropologie des Connaissances, February 2023. [PDF]

De la centralité des bases de données “ground truth” dans la construction des systèmes algorithmiques, note for the French magazine SILO - Agora des pensée critiques, September, 2022. [PDF]

Florian Jaton on his book, The Constitution of Algorithms, interview for the the CaMP Anthropology network, 23 May, 2022

Les algorithmes, enjeu majeur du rachat de Twitter par Elon Musk, interview in the Swiss newspaper Le Temps, 27 April, 2022. [PDF]

Curiosity and Anti-Economy: A Response to Florian Jaton, review note by Emma Stamm, for the Social Epistemology Review and Reply Collective, 18 April, 2022. [PDF]

The Constitution of Algorithms, interview podcast for the New Books Network, 16 March, 2022.

Matters of social epistemology: A comment on Emma Stamm's review, review note for the Social Epistemology Review and Reply Collective, 18 January 2022. [PDF]

Les uns et les autres, Uniscope N°635, July 2018, p.2

Dr. Florian Jaton wins the “Société Académique Vaudoise” Prize, Newsletter of the Institute of Digital Humanities, EPFL

Florian Jaton, Lauréat du Prix SAV 2018, Newsletter of the University of Lausanne

Un ethnologue dans la photo, Uniscope N°530, November 2014, pp. 6-7

Keynote lectures/Invited talks

Jaton F (2024) A critical praise of algorithmic agency: Phased wisdom, isomorphic trueness, and extrinsic intelligence. Symposium on machine learning inference. Durham University, 28 October.

Jaton F (2024) IA et référence performative: le cas du projet TESLA et des néoantigènes en immunothérapie personnalisée du cancer. Le séminaire du Médialab. Sciences Po, Paris, 17 September. [video]

Jaton F (2024) Computational genomics inside out: Certify, standardize, accredit. Professional Datascapes. King’s College London, London, 24-25 June.

Jaton F (2024) IA et référence performative. Le cas du projet TESLA en immuno-oncologie. Intelligences artificielles : une économie politique. Sorbonne Université, Paris, 20 June..

Jaton F (2024) Socio-technical history of Generative Pre-Trained Transformers (GPTs): a primer. Tech Week 2024. Geneva Graduate Institute, Geneva, 4-6 March.

Jaton F (2023) Examining algorithms in the light of their ground-truth datasets: Results, critique, and avenues of reflection. The politics of machine learning evaluation workshop and conference. Institute for Advanced Studies, Amsterdam, 16-17 November.

Jaton F (2023) Enabling ‘AI’? The Situated Production of Commensurabilities Artificial Intelligence as factor and consequence of societal change: Final Conference. Schaufler Lab, TU Dresden, Dresden, Germany, 28-30 September.

Jaton F (2023) On ground truths, biases, and morality in machine learning design and application. NEOMA Research Day: Harnessing the Power of AI, NEOMA Business School, Paris, 2 June.

Jaton F (2023) Groundwork for AI: Enforcing a benchmark for neoantigen prediction in personalized cancer immunotherapy. Robert-K.-Merton-Zentrum für Wissenschaftsforschung's seminar series, Humboldt-Universität zu Berlin/Online, 3 May.

Jaton F (2023) Examining algorithms in the light of their ground-truth datasets: Results, critique, and avenues of reflection. DiPLab Seminar Series, Telecom Paris/Online, 29 March.

Jaton F (2023) What can Lab Studies say about algorithmic life? STS York seminar series, Toronto/Online, 21 March.

Jaton F (2022) Ethiques de l’intelligence artificielle. Analyse terrestre et pistes de réflexion. Journée de formation des Commissions d’éthique de la Suisse romande, Forum Geneva, 24 November.

Jaton F (2022) The constitution of algorithms: What can 'lab studies' say about algorithmic life? ANSO/IHP conference series, Geneva Graduate Institute, 8 November.

Jaton F (2022) Assessing biases, relaxing moralism: On ground-truthing practices in machine learning design and application. NoBias project Summer School, University of Southampton/Online, 6 September.

Jaton F (2022) On ground-truths and biases: A pragmatist take on the morality of machine learning design and application. AI and the Digitalized Society Conference, University of Helsinki, 23-24 May.

Vertesi J and Jaton F (2022) Shaping Science: Janet Vertesi in Conversation with Florian Jaton. The EthnographicCafé, UC Berkeley/Online, 18 March.

Jaton F (2022) The Constitution of Algorithms. Platform Economies Research Network (PERN) Salon Series, The New School, New York/Online, 24 February. [VIDEO]

Jaton F (2022) Assessing biases, relaxing moralism: On ground-truthing practices in machine learning. AI Ethics & Society Lecture Series, University of Edinburgh/Online, 23 February.

Jaton F (2021) On ground truths, biases, and morality in machine learning design and application. Learning (in) Digital Media Lecture Series, Siegen University/Online, 30 Novembre. [VIDEO]

Jaton F (2021) Les processus frictionnels de bancarisation des données : histoire et sociologie des sciences. Invited speaker to the ‘Programme de recherche sur le partage des données qualitatives à l’ère du numérique’ (PARDOQ), UMR Amure/Online, 31 May.

Jaton F (2021) Intérêt des ethnographies de laboratoire pour l’étude des processus algorithmiques. Invited speaker to the CNRS/LISIS conference on computational social sciences, Université Paris-Est Marne-la-Vallée/Online, 18 May.

Jaton F (2020) On ground-truthing activities, and their contribution to algorithmic finance. Invited speaker to the 2020 Symposium on Technology and Finance, King's College London, FinWorks Futures Center, 20 May.

Jaton F (2019) Les algorithmes mis à nu. Une perspective anthropologique. Invited speaker to the round table organized as part of the symposium "La Rencontre entre la Science, le Droit dans le Numérique," Université de Lausanne, Lausanne, Suisse, 14 February.

Jaton F (2018) Why is there ethnography of algorithms at all? With some elements regarding curious entities called “ground truths”. Keynote lecture at “La iniciativa de Tecnología y Sociedad”, Universidad de los Andes, Bogota, Colombia, 26 July.

Conference papers

Jaton F and Männik K (2023) Issues at stake in the national accreditation of a center for genomic data analysis. In: Forum DoPHiS 2023 – Santé personnalisée: Dialogue et prospective., Lausanne 28-29 April, 2023.

Jaton F (2022) Ground-truthing exclusions: Enforcing a benchmark for neoantigen prediction in personalized immuno-oncology. In: 2022 Conference of the European Association for the Study of Science and Technology (EASST), Madrid, 6-9 July, 2022.

Jaton F (2022) Enforcing a benchmark for neoantigen prediction in personalized immuno-oncology. In: Governance by Infrastructure Workshop and Conference, Lausanne/Online, 17-18 March, 2022.

Jaton F (2021) Ground That: Enforcing a benchmark for neoantigen prediction in precision immuno-oncology. In: Personalized Health and Medicine in Social Sciences and Humanities Perspectives, Lausanne/Online, 5-6 Novembre, 2021.

Jaton F (2021) Assessing biases, relaxing moralism: On ground-truthing practices in machine learning design and application. In: 2021 Meeting of the Society for Social Studies of Science, Toronto/Online, 6-9 October, 2021.

Jaton F (2020) On supervision arrangements, with an application to the AI bias problem. In: 5th STS-CH Conference, Lausanne, 07-09 September 2020. Event postponed to February 2021 due to the Covid-19 crisis.

Jaton F (2019) Coding in a Lab: Toward a micro-sociology of computer programming. In: 2019 Meeting of the Society for Social Studies of Science, New Orleans, LA, 03-7 September, 2019.

Jaton F (2017) Ground truths: Designing referential databases for image-processing algorithms. In: 2017 Meeting of the Society for Social Studies of Science, Boston, MA, 30 August - 2 September, 2017.

Jaton F (2015) Towards the ethnography of computational devices: The performativity of ‘ground truths’ in computer science. In: 2015 Meeting of the Society for Social Studies of Science, Denver, CO, 11-14 November, 2015.

Jaton F (2015) Résultats préliminaires d’une ethnographie de laboratoire : Comment attester des performances de son algorithme ?. In : 2015 Congrès de la société suisse de sociologie, Lausanne, Suisse, 3-5 June, 2015.

Jaton F (2014) Acteur-réseau, humanités digitales et modes d’existence. In : 2014 Colloque AISLF : Science, Innovation, Technique et Société, Bordeaux, France, 9-11 July, 2014.

Seminar presentations

Jaton F (2024) Ground-truth datasets, or algorithms’ n+1. DHI doctoral workshop 2024, EPFL, Lausanne, 8 February.

Jaton F (2023) Genomics inside out :An inquiry into the national accreditation of a genomic data analysis platform Genome Center research seminar, Campus Biotech, Geneva, 13 February.

Jaton F (2022) Examiner les algorithmes à l’aune de leurs bases de données référentielles. Quelques résultats et pistes de réflexion Research seminar “La science à l'épreuve des données”, Université Paris Cité, Paris, 18 November.

Jaton F (2022) Ethnographies du développement algorithmique: enjeux, méthodes et résultats préliminaires Research seminar “REPINE: les pratiques d’influence”, EHESS, Paris/Online, 1 February.

Jaton F (2022) The Constitution of Algorithms : What can ‘lab studies’ say about algorithmic life VäSTS GU/Chalmers STS Seminar, Chalmers University of Technology/Online, 28 January.

Jaton F (2021) Le 'TESLA challenge', ou comment affirmer un référentiel pour la prédiction des néoantigènes en immuno-oncologie. Research seminar “Digitalisation et santé”, University Lausanne, 4 November.

Jaton F (2021) On ground truths, biases, and morality in machine learning design and application. Fly-High Seminar Series, Online, Stockholm University & KTH Royal Institute of Technology, 7 September.

Jaton F (2019) À propos d'un livre que je vais bientôt soumettre: Comment interagir au mieux avec MIT Press? Research seminar of the Centre de sociologie de l’innovation, Mines ParisTech, 12 March.

Jaton F (2018) Comment documenter les pratiques de calcul? Quelques astuces pour ne pas (trop) s'y perdre. Research seminar of the Centre de sociologie de l’innovation, Mines ParisTech, 9 October.

Jaton F (2017) Calculs électroniques, travail de programmation et cognition(s). Research seminar of the LaDHUL, University of Lausanne, 25 October.

Jaton F (2016) Out of the water. What is the territory of salient object detection? (part 4) Research seminar of the Image & Visual Representation Lab, EPFL, 13 décembre.

Jaton F (2016) Computation in a Lab. Designing ground truths for image-processing algorithms. Research seminar of the EVOKE Lab & Studio, University of California, Irvine, 14 April.

Jaton F (2015) Entering the water. What is the territory of salient object detection? (part 3) Research seminar of the Image & Visual Representation Lab, EPFL, 15 December.

Jaton F (2015) Shaping a diving board. What is the territory of salient object detection? (part 2) Research seminar of the Image & Visual Representation Lab, EPFL, 5 May.

Jaton F (2015) Under the water. What is the territory of salient object detection? (part 1) Research seminar of the Image & Visual Representation Lab, EPFL, 1st of March.

Jaton F (2015) Opening the black box of computational photography. An ethnography of computational photography. Research seminar of the STS Lab, University of Lausanne, 28 October.

Jaton F (2014) Résultats préliminaires d’enquête. Le concept de ‘ground truth’ en traitement de l’image digitale. Research seminar of the LaDHUL, University of Lausanne, 10 Novembre.

Jaton F (2014) Quelques raisons de ne pas enquêter sur le façonnage d’artefacts digitaux (et de le faire quand même). STS Doctoral Workshop, University of Geneva, 26 September.

Jaton F (2014) Exploring computational photography. (Very) First diplomatic propositions. Research seminar of the Image & Visual Representation Lab, EPFL, 23 June.

Jaton F (2013) Acteur-réseau, humanités digitales et modes d’existence. DH Lab doctoral workshop, EPFL, 1st of Novembre.

Jaton F (2013) Accounting for computational photography. A diplomatic experiment. Research seminar of the Image & Visual Representation Lab, EPFL, 1st of November.

Theses

Jaton F (2017) The Constitution of Algorithms. Ground-Truthing, Programming, Formulating. PhD Thesis, University of Lausanne, Switzerland. Winner of 2018 Société Académique Vaudoise Award for the Best PhD Thesis of the University of Lausanne. PhD committee: prof. Nicky Lefeuvre (UNIL), prof. Dominique Vinck (UNIL), prof. Sabine Süsstrunk (EPFL), Dr. David Pontille (Mines ParisTech), Dr. Olivier Glassey (UNIL), Prof. Geoffrey C. Bowker (UCI)

Jaton F (2013) Ethnographie d'un projet d'architecture. Une expérimentation sur le mode de l'acteur-réseau. Master Thesis, University of Lausanne, Switzerland.

Reports

Jaton F (2015) Designing "ground truths" in an asset management firm: An inquiry into algorithmic finance. Project report, CSI - Mines Paris & Swiss National Science Foundation, November 16, 2020.

Jaton F (2015) Encore une base de données sur des manuscrits ! Approches pragmatiques des manuscrits de la mer Morte. Miméo, compte rendu de l’exposé de David Hamidovic lors du séminaire du LaDHUL du 26 mars 2015.

Jaton F (2015) Représentation de la migration non-documentée tunisienne (harga) sur Internet. Approches méthodologiques pour une anthropologie de Facebook. Miméo, compte rendu de l’exposé de Monica Salzbrunn et Simon Mastrangelo lors du séminaire du LaDHUL du 3 mars 2015.

Jaton F (2015) Big Data : À qui profite le Même ? Miméo, compte rendu de l’exposé de Sami Coll lors du séminaire du LaDHUL du 15 février 2015.

Jaton F (2014) Du corpus numérisé au matériau. L’exemple du Montreux Jazz Digital Project. Miméo, compte rendu de l’exposé d'Alexandre Camus lors du séminaire du LaDHUL du 11 décembre 2014.

Jaton F (2014) Big Data Challenges, Opportunities and Avenues of Research. Miméo, compte rendu de l’exposé de Periklis Andritsos lors du séminaire du LaDHUL du 24 novembre 2014.

Jaton F (2014) Du jeu de données à la multiplication des sources. Remise en cause d’un paradigme de recherche ?. Miméo, compte rendu de l’exposé de Dominique Joye lors du séminaire du LaDHUL du 28 octobre 2014

Jaton F (2014) Constitution d’une base de données de dessins de dieux réalisés par des enfants. Miméo, compte rendu de l’exposé de Pierre-Yves Brandt lors du séminaire du LaDHUL du 29 avril 2014.

Jaton F (2014) Approches sociologiques des bases de données. Miméo, compte rendu de l’exposé de Dominique Vinck et Pierre-Nicolas Oberhauser lors du séminaire du LaDHUL du 31 mars 2014.

Jaton F (2014) Le projet Lumières.Lausanne. Miméo, compte rendu de l’exposé de Bela Kapossy et Marion Rivoal lors du séminaire du LaDHUL du 20 mars 2014.

Jaton F (2014) Bases de données relationnelles (notions et souvenirs d’un amateur): une approche STS. Miméo, compte rendu de l’exposé d'Andréas Perret lors du séminaire du LaDHUL du 30 janvier 2014.

Jaton F (2013) Mémoires Falashas. Miméo, compte rendu de l’exposé de Charlotte Touati lors du séminaire du LaDHUL du 3 décembre 2013.

Jaton F (2013) Bases de données en sciences humaines: création et pérennisation. Miméo, compte rendu de l’exposé de Nicolas Bugnon lors du séminainre du LaDHUL du 30 septembre 2013.

About

At the end of 2017, I completed my PhD in Social Study of Science & Technology at the University of Lausanne, Switzerland. In May 2018, I was surprised to see that this thesis was awarded the 2018 Société Académique Vaudoise Prize for the Best PhD Thesis of the University of Lausanne. Quite an honnor. If you’re interested in this work, you can get a polished, book-version of it here.

From 2018 to 2020, I ran a postdoctoral project on algorithmic finance at the Centre de Sociologie de l'Innovation under the supervision of Prof. Fabian Muniesa. From 2020 to 2023, I have been working for an interdisciplinary project - led by prof. Francesco Panese - on the development of personalized medicine at the University of Lausanne. After a brief stay at the Tech Hub at Geneva Graduate Institute, I now work at EPFL.

I previously got a Master in Political Science and a Bachelor in Philosophy and Literature. But I guess the easiest way to introduce myself professionally is to let you see my resume, is it not? And if you want to reach out, use this: florian@florian-jaton.com