Archive for the ‘ Data in the digital economy ’ Category

First seminar of the year!

Next Thursday, 17 September, I have been invited to give a talk as part of the cycle of seminars organized by the quantitative sociology research group at CREST-ENSAE, Palaiseau (Paris area). Although the health situation is still bleak, I am glad to return to almost-normal functioning by giving an in-person talk. Hopefully there won’t be any new lockdown before that.

I will present an in-progress paper provisionally entitled:

«Disembedded or deeply embedded? A multi-level network analysis of the online platform economy»

The two types of platform labour analyzed in the paper.

In this paper, I extend the economic-sociological concept of embeddedness to encompass not only social networks of, for example, friendship or kinship ties, but also economic networks of ownership and control relationships. Applying these ideas to the case of digital platform labour pinpoints two possible scenarios. When platforms take the role of market intermediaries, economic ties are thin and workers are left to their own devices, in a form of ‘disembeddedness’. When platforms partake in intricate inter-firm outsourcing structures, economic ties envelop workers in a ‘deep embeddedness’ which involves both stronger constraints and higher rewards. With this added dimension, the notion of embeddedness becomes a compelling tool to describe the social structures that frame economic action, including the power imbalances that characterize digital labour in the global economy.

Digital inequalities in time of pandemic

Just published a new, collective paper on new kinds of risk that are emerging with the COVID-19 virus, arguing that these risks are unequally distributed. Digital inequalities and social inequalities are rendering certain subgroups significantly more vulnerable to exposure to COVID-19. Populations bearing disproportionate risks include the social isolated, older adults, penal system subjects, digitally disadvantaged students, gig workers, and last-mile workers. We map out the intersection between COVID-19 risk factors and digital inequalities on each of these populations in order to examine how the digitally resourced have additional tools to mitigate some of the risks associated with the pandemic. We shed light on how the ongoing pandemic is deepening key axes of social differentiation, which were previously occluded from view.

These newly manifested forms of social differentiation can be conceived along several related dimensions. At their most general and abstract, these risks have to do with the capacity individuals have to control the risk of pathogen exposure. In order to fully manage exposure risk, individuals must control their physical environment to the greatest extent possible in order to prevent contact with potentially compromised physical spaces. In addition, they must control their social interactional environment to the greatest extent possible in order to minimize their contacts with potentially infected individuals. All else equal, those individuals who exercise more control over their exposure risk — on the basis of their control over their physical and social interactional environments — stand a better chance of staying healthy than those individuals who cannot manage exposure risk. Individuals therefore vary in terms of what we call their COVID-19 exposure risk profile (CERPs).

CERPs hinge on pre-existing forms of social differentiation such as socioeconomic status, as individuals with more economic resources at their disposal can better insulate themselves from exposure risk. Alongside socioeconomic status, one of the key forms of social differentiation connected with CERPs is digital (dis)advantage. Ceteris paribus, individuals who can more effectively digitize key parts of their lives enjoy better CERPs than individuals who cannot digitize these life realms. Therefore we believe that digital inequalities are directly and increasingly related to both life-or-death exposure to COVID-19, as well as excess deaths attributable to the larger conditions generated by the pandemic.

The article has been published in First Monday and is available here.

In the same special issue of First Monday, I co-published two reference articles:

Digital inequalities 2.0: Legacy inequalities in the information age

Digital inequalities 3.0: Emergent inequalities in the information age

PhD studentship available

I have an exciting opportunity for a brilliant master’s degree holder willing to do a PhD in economic sociology. The topic of the thesis is “The division of data labour: How multi-level micro-work networks elucidate the social and economic dimensions of artificial intelligence”. The studentship is generously funded by CNRS.

More information and application form (both in French and in English) here:

The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence

New article, co-authored with Antonio A. Casilli and Marion Coville, just published in Big Data & Society!

The paper sheds light on the role of digital platform labour in the development of today’s artificial intelligence, predicated on data-intensive machine learning algorithms. We uncover the specific ways in which outsourcing of data tasks to myriad ‘micro-workers’, recruited and managed through specialized platforms, powers virtual assistants, self-driving vehicles and connected objects. Using qualitative data from multiple sources, we show that micro-work performs a variety of functions, between three poles that we label, respectively, ‘artificial intelligence preparation’, ‘artificial intelligence verification’ and ‘artificial intelligence impersonation’. Because of the wide scope of application of micro-work, it is a structural component of contemporary artificial intelligence production processes – not an ephemeral form of support that may vanish once the technology reaches maturity stage. Through the lens of micro-work, we prefigure the policy implications of a future in which data technologies do not replace human workforce but imply its marginalization and precariousness.

The three main functions of micro-work in the development of data-intensive, machine-learning based AI solutions.

The paper reports results of the 2017-18 DiPLab project, and is available here in open access.

Internship offer, TRIA project

I am currently seeking to hire a student intern for new research project TRIA (Les TRavailleurs de l’Intelligence Artificielle / Los TRabajadores de la Inteligencia Artificial). Start as soon as possible, conditional on evolving regulations at the end of the current lockdown. Max 6 months.

A full description of the project is enclosed (in French).

HDR Paola Tubaro

(English version below)

J’ai le plaisir d’annoncer la soutenance de mon habilitation à diriger des recherches en sociologie intitulée :

Décrypter la société des plateformes: Organisations, marchés et réseaux dans l’économie numérique.

Cette soutenance aura lieu le mercredi 11 décembre 2019 à Sciences Po Paris, 9 rue de la chaise, salle 931, à 10h00.

Si vous souhaitez venir, merci de confirmer votre présence grâce à ce lien car les personnes externes à Sciences Po ne pourront pas accéder à la salle si elles ne sont pas annoncées.

Le jury sera composé de :

  • M. Gilles Bastin, Professeur des universités, IEP de Grenoble (rapporteur)
  • M. Rodolphe Durand, Professeur, HEC Paris
  • M. Emmanuel Lazega, Professeur des universités, IEP de Paris (garant et rapporteur)
  • Mme Béatrice Milard, Professeure des universités, Université de Toulouse Jean Jaurès (rapporteure)
  • M. José Luís Molina González, Professeur, Universitat Autònoma de Barcelona
  • M. Tom A.B. Snijders, Professeur, Rijksuniversiteit Groningen

La soutenance sera suivie d’un pot. 


Le manuscrit original conceptualise la récente montée en puissance des platesformes numériques selon trois dimensions principales : leur nature de dispositifs de coordination alimentés par les données, les transformations du travail qui en découlent, et les promesses d’innovation sociétale qui les accompagnent. L’ambition globale est de décortiquer le rôle de coordination de la plateforme et sa position à l’horizon de la dualité classique entreprise – marché. Il s’agit aussi de comprendre précisément comment elle utilise les données pour ce faire, où elle amène le travail, et comment elle gère des projets d’innovation sociale. Je prolonge cette analyse pour faire apparaître la continuité entre la société actuelle dominée par les plateformes et la « société organisationnelle », montrant que les plateformes sont des structures organisées qui distribuent les ressources, produisent des asymétries de richesse et de pouvoir, et repoussent l’innovation sociale vers la périphérie du système. Je discute des implications de ces tendances pour les politiques publiques, et propose des pistes pour la recherche future. 

I am pleased to announce the defense of my habilitation to direct research in sociology entitled:

Decoding the platform society: Organizations, markets and networks in the digital economy

This defense will take place on Wednesday, 11 December 2019 at Sciences Po Paris, 9 rue de la chaise, room 931, at 10am.

If you wish to attend, please confirm your presence through this link because people who are external to Sciences Po will be denied access to the room if they are not announced.

Members of the jury are:

  • Prof. Gilles Bastin, IEP de Grenoble (referee)
  • Prof. Rodolphe Durand, HEC Paris
  • Prof. Emmanuel Lazega, IEP de Paris (advisor and referee)
  • Prof. Béatrice Milard, Université de Toulouse Jean Jaurès (referee)
  • Prof. José Luís Molina González, Universitat Autònoma de Barcelona
  • Prof. Tom A.B. Snijders, Rijksuniversiteit Groningen

There will be drinks after the defense.


The original manuscript conceptualizes the recent rise of digital platforms along three main dimensions: their nature of coordination devices fueled by data, the ensuing transformations of labor, and the accompanying promises of societal innovation. The overall ambition is to unpack the coordination role of the platform and where it stands in the horizon of the classical firm – market duality. It is also to precisely understand how it uses data to do so, where it drives labor, and how it accommodates socially innovative projects. I extend this analysis to show continuity between today’s society dominated by platforms and the “organizational society”, claiming that platforms are organized structures that distribute resources, produce asymmetries of wealth and power, and push social innovation to the periphery of the system. I discuss the policy implications of these tendencies and propose avenues for follow-up research.

New ANR Project HUSH: Human supply chain behind smart technologies

Together with sociologist Antonio A. Casilli and economist Ulrich Laitenberger, I have recently received ANR (French National Research Agency) funding for a new study of human inputs – mostly platform-mediated work in the production of artificial intelligence solutions. In our project called HUSH (Human supply chain behind smart technologies) we aim to shed light on the whole ecosystem linking platforms, workers and their clients demanding data-related and algorithmic services.

For this project, we are now looking for a

PhD researcher in digital economics

The position provides the opportunity to focus strongly on research, in a very active environment. The team has collaborations with different online platforms and has collected data sets from the web, which can be used by the applicant for their thesis. The focus of the current position is to work on the economic aspects of platform-mediated work, using quantitative analyses. Two other PhD students (in sociology) have already been recruited for this project and work on related topics.

The starting date is January 2020 (a later starting date is also possible). As per national regulations, the annual stipend will be about 1,600 euros per month, with possibility to obtain a complement for extra activities such as teaching. Social security and professional training are provided. Additional funding is available to present your research at international conferences and workshops. The position will be based at the new campus of Telecom Paris in Palaiseau, in the direct neighborhood of École Polytechnique and ENSAE.

Your profile

Applicants should have successfully completed a Master’s degree in economics, socio/economic data science or related disciplines, or expect completion at the beginning of the year 2020. They should have a strong interest in digital platforms, from the perspective of industrial organization or labor economics, and have an empirical focus (econometrics, data science). They should aim at developing programming skills and have an interest in the evaluation of internet data. Fluency in English is required; knowledge of French is advantageous, but not essential.

Telecom Paris and IP Paris

Telecom Paris is part of the newly founded Institute Polytechnique (IP) Paris, together with Ecole Polytechnique, ENSTA, ENSAE and Telecom Sud. The department of social sciences and economics (SES) at Telecom Paris studies the impact of the digitization on economic activity and society. For more information, please see

How to apply

Please submit a cover letter, a curriculum vitae, a transcript of records (listing all subjects taken and their grades), and contact details of one to two referees by November 15, 2019 to Ulrich Laitenberger ( ).

Update: applications open until December 15, 2019.

Microwork platforms: a challenge for artificial intelligence, a challenge for employment?

With our sponsors France Stratégie and MSH Paris-Saclay, we convene an international conference on micro-work in Paris on June 13, 2019, followed by the first INDL (International Network on Digital Labor) workshop on June 14. The event will include a “meet the microworkers” panel on June 13, where workers, platform owners and client companies will take the stage. There will also be presentations of the results of national and international surveys (notably ours, DiPLab) on these emerging forms of work, and discussions with French and international academic and institutional experts.


After Uber, Deliveroo and other on-demand services, micro-work is a new form of labor mediated by digital platforms. Internet and mobile services recruit crowds to perform small, standardized and repetitive tasks on behalf of corporate clients, in return for fees ranging from few cents to few euros. These tasks generally require low skills: taking a picture in a store, recognizing and classifying images, transcribing bits of text, formatting an electronic file… Despite their apparent simplicity, these micro-tasks performed by millions of people around the world, are crucial to create the databases needed to calibrate and “train” artificial intelligence algorithms.

Internationally, Amazon Mechanical Turk is the most widely known micro-work platform. In France and in French-speaking Africa, other platforms are attracting a growing number of workers to supplement or even substitute for their primary income. How widespread is the phenomenon? How to recognize, organize and regulate this new form of work? How, finally, does it relate to traditional forms of employment?

Presentations and discussions are held in French and English, with simultaneous translation.

The programme is available here.

Back from Reshaping Work 2018

I was last week at the second Reshaping Work in the Platform Economy in Amsterdam. The interest of this small conference is tht it brings together different actors of the platform economy, from academics and students to policymakers, union leaders,  workers, and representatives of platforms to discuss.

In an overview of preliminary results of our project DiPLab, Antonio A. Casilli and I presented our reflection on how micro-work powers artificial intelligence (AI), in three main ways:

  1. Training AI
  2. Validating outcomes of AI
  3. Impersonating AI when it is cheaper or simpler that real AI


No more details for now… it will come out as a working paper very soon!


Call for papers: “Recent Ethical Challenges in Social Network Analysis”

Submissions are now invited for a special section of the journal Social Networks on “Recent Ethical Challenges in Social Network Analysis” (guest-edited by myself with Antonio A. Casilli, Alessio D’Angelo, and Louise Ryan).

Research on social networks raises formidable ethical issues that often fall outside existing regulations and guidelines. State-of-the-art tools to collect, handle, and store personal data expose both researchers and participants to new risks. Political, military and corporate interests interfere with scientific priorities and practices, while legal and social ramifications of studies of personal ties and human networks come to the surface.

The proposed special section aims to critically engage with ethics in research related to social networks, specifically addressing the challenges that recent technological, scientific, legal and political transformations trigger.

Following a successful workshop on this topic that was held in December 2017 in Paris, we welcome submissions that critically engage with ethics in research related to social networks, possibly based on reflective accounts of first-hand experiences or case studies, taken as concrete illustrations of the general principles at stake, the attitudes and behaviors of stakeholders, or the legal and institutional constraints. We are particularly interested in novel, original answers to some unprecedented ethical challenges, or the need to re­interpret norms in ambiguous situations.

The full Call for Papers is available here.