ll Dipartimento di Filosofia “Piero Martinetti” presenta il doppio talk:
Normative Kinds Seminar
Primo talk: Malvina Ongaro, Polytechnic of Milan (with Terje Aven)
Inductive risk qua risk: Mitigating the impacts of inductive errors
Abstract: In the last seventy years, the debate on inductive risk in philosophy of science has grown extensively, with contributions focusing particularly on the implications that inductive risk has for the role of non-epistemic values in science. While the debate on whether non-epistemic values have a legitimate role to play in scientific knowledge construction is still heated, the fact that inductive risk is a risk, and not merely a possibility, has mostly been overlooked. In this paper, we develop a framework to understand inductive risk qua risk: we contend that this perspective can help expand the debate on inductive risk beyond the role of values in science, allowing the exploration of further implications of the existence of inductive risk. Specifically, we focus on inductive risk mitigation, and we conclude that the responsibility of this mitigation lies not only with the scientists, but also with policymakers and society at large.
Secondo Talk: Stefano Canali, Polytechnic of Milan
Disambiguating Health Personalisation: From Personalised and Precision Medicine to Big Data and Machine Learning
Abstract: In the health context, personalisation is at the centre of scientific trends and political frameworks, such as precision and personalised medicine, and is a sought-after feature of current and future health systems. In spite of their appeal, precision and personalised medicine have been significantly criticised in the philosophical literature and their epistemological success and promises of higher quality, more effective, and indeed personal medicine have been largely underplayed. In this paper, I move beyond the focus of this literature on the clinical and pharmaceutical context and analyse new promises of health personalisation, which come from the increasing use of big data and machine learning in health systems. I examine the extent to which forms of health personalisation are possible though big data and machine learning and disambiguate them from existing approaches. Disambiguation is crucial here, I argue, in order to analyse the success of different types of personalisation in health systems, understand their impact on the epistemology of contemporary medicine, and identify harmful applications.
Everyone interested is welcome to attend.
The meeting will be held in English.
It will be possible to access the meeting until all places are filled.
Participation is strongly recommended for students of the Doctoral School in Philosophy and Human Sciences and to students of the Doctoral School “The Human Mind and its Explanations: Language, Brain, and Reasoning”.
Il talk fa parte del ciclo Normative Kinds Seminars ed è finanziato dal PRIN “Normative Kinds” – PI: Francesco Guala.
Dove: Sala Piero Martinetti, Cortile Ghiacciaia, I piano, Via Festa del Perdono, 7, Milano.
Quando: 09/05/2025 – Ore 14:30-16:30 CET
Contatti
Davide Serpico: davide.serpico1@unimi.it