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Liste complète de nos publications et communications



1597 documents

  • Baptiste Kotras. Algorithme prédictif. Dico des big data, 2023. ⟨hal-04237746⟩
  • Pierre-Benoît Joly, Marc Barbier, Bruno Turnheim. Governing the discontinuation of large socio-technical systems. Goulet, F.; Vinck, D. New Horizons for Innovation Studies: Doing Without, Doing With Less, Edward Elgar, pp.29-46, 2023, 978-180392-555-4. ⟨hal-04346457⟩
  • Allison M. Loconto, Francisco Garrido-Garza, Ivan Dufeu. Innovations for Sustainable Food Systems. Journal of Rural Problems, 2023, 59 (1), pp.37-44. ⟨10.7310/arfe.59.37⟩. ⟨hal-04078371⟩
  • Lucile Ottolini. PISTIL Recherche action -Rapport final PISTIL Insertion sociale et Insertion professionnelle dans les tierslieux Recherche Action Collaborative -Rapport final. HC-Ecrac; UMR Lisis. 2023, 27 p. ⟨hal-04412096⟩
  • Olivier Barreteau, Gabrielle Bouleau. Eau : qui perd, qui gagne ?. Natures Sciences Sociétés, 2023, 31 (1), pp.1-2. ⟨10.1051/nss/2023026⟩. ⟨hal-04345922⟩
  • Olivier Lepiller, Tristan Fournier, Nicolas Bricas, Muriel Figuié, Élodie Valette, et al.. The URBAL participatory method: collectively documenting sustainable food innovation impact pathways. Olivier Lepiller; Tristan Fournier; Nicolas Bricas; Muriel Figuié. Studying food and eaters. a cocktail of perspectives and methods, Ed. Quae, pp.165-175, 2023, Update Sciences & Technologies, 978-2-7592-3663-3. ⟨10.35690/978-2-7592-3664-0/c12⟩. ⟨hal-04409067⟩
  • Baptiste Kotras, Marine Al Dahdah, Éric Dagiral. STS et numérique. ISTE Group. Sciences, Techniques et Sociétés, A paraître. ⟨hal-04237787⟩
  • Baptiste Bedessem, Anne Sourdril, Valentin Baumstark, Lucie Dos Santos, Emmanuelle Gonzalez, et al.. Citizen science for public deliberation of local environment policies. Etica e Politica/Ethics and Politics, 2023, XXV (2), pp.105-127. ⟨10.13137/1825-5167/35353⟩. ⟨hal-04201081⟩
  • Nicolas Béfort. The Bioeconomy. Routledge, 176 p., In press, Routledge Studies in Ecological Economics, 9780367610401. ⟨hal-04008364⟩
  • Bilel Benbouzid. Fairness in machine learning from the perspective of sociology of statistics. FAccT '23: the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023, Chicago IL USA, France. pp.35-43, ⟨10.1145/3593013.3593974⟩. ⟨hal-04567390⟩