Publications
Saana Jukola & Canali (in press). On evidence fiascos and judgments in COVID-19 policy. History and Philosophy of the Life Sciences.
Canali (2021). COVID-19: dati e qualità. inTrasformazione - Rivista di Storia delle Idee.
Canali & Saana Jukola (2020). Näyttöön perustuvan pandemiapolitiikan haaste (The Challenges of Evidence-Based Pandemic Policy). Tiede & edistys, 3/2020, 212-227.
Canali (2020) Towards a Contextual Approach to Data Quality. Data 5(4), 90 – Special Issue "Data Quality and Data Access for Research".
Canali (2020) What is New about the Exposome? Exploring Scientific Change in Contemporary Epidemiology. International Journal of Environmental Research and Public Health, 17(8), 2879 – Special Issue "The Exposome: State-of-the-Art and Future Perspectives".
Canali (2020) Making Evidential Claims in Epidemiology: Three Strategies for the Study of the Exposome. Studies in History and Philosophy of Biological and Biomedical Sciences, 82, 101248.
Canali (2020) Further Philosophical Considerations about Covid-19: Why We Need Transparency. Daily Nous [not refereed].
Canali (2019) Evaluating evidential pluralism in epidemiology: mechanistic evidence in exposome research. History and Philosophy of the Life Sciences, 41(4).
Kelly, Clarke, Ghiara, Russo, Bockting, Boniolo, Canali, et al. (2019). Time to care: why the humanities and the social sciences belong in the science of health. BMJ Open.
Canali (2016) Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS. Big Data & Society, 3(2).
Canali (2021). COVID-19: dati e qualità. inTrasformazione - Rivista di Storia delle Idee.
Canali & Saana Jukola (2020). Näyttöön perustuvan pandemiapolitiikan haaste (The Challenges of Evidence-Based Pandemic Policy). Tiede & edistys, 3/2020, 212-227.
Canali (2020) Towards a Contextual Approach to Data Quality. Data 5(4), 90 – Special Issue "Data Quality and Data Access for Research".
Canali (2020) What is New about the Exposome? Exploring Scientific Change in Contemporary Epidemiology. International Journal of Environmental Research and Public Health, 17(8), 2879 – Special Issue "The Exposome: State-of-the-Art and Future Perspectives".
Canali (2020) Making Evidential Claims in Epidemiology: Three Strategies for the Study of the Exposome. Studies in History and Philosophy of Biological and Biomedical Sciences, 82, 101248.
Canali (2020) Further Philosophical Considerations about Covid-19: Why We Need Transparency. Daily Nous [not refereed].
Canali (2019) Evaluating evidential pluralism in epidemiology: mechanistic evidence in exposome research. History and Philosophy of the Life Sciences, 41(4).
Kelly, Clarke, Ghiara, Russo, Bockting, Boniolo, Canali, et al. (2019). Time to care: why the humanities and the social sciences belong in the science of health. BMJ Open.
Canali (2016) Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS. Big Data & Society, 3(2).
Coming up & in progress
Canali (under review) Beyond Revolutions: Scientific Change, Disruption, and Data.
Canali & Sabina Leonelli (in preparation) Reframing the Environment in Data-Intensive Health Sciences
Simon Lohse & Canali (in preparation) Interdisciplinary Knowledge Integration in Public Health Policy.
Canali & Corrado Piroddi (in preparation, eds.) Special issue of MEFISTO: the philosophy, ethics and politics of epidemiology today.
Canali (in press) I Big Data nella ricerca scientifica: tra rivoluzioni, continuità e rischi. Prometeo.
Canali & Sabina Leonelli (in preparation) Reframing the Environment in Data-Intensive Health Sciences
Simon Lohse & Canali (in preparation) Interdisciplinary Knowledge Integration in Public Health Policy.
Canali & Corrado Piroddi (in preparation, eds.) Special issue of MEFISTO: the philosophy, ethics and politics of epidemiology today.
Canali (in press) I Big Data nella ricerca scientifica: tra rivoluzioni, continuità e rischi. Prometeo.
Research interests
Knowledge and evidence in medicine
Biomedical evidence is supposed to ground both research and clinical practices, science and cure. But what is biomedical knowledge? I study evidential reasoning in biomedical research to understand how epistemic strategies, values, assumptions are built into biomedical knowledge. I am particularly interested in biomedical research at the intersection between environment and health, where diverse evidence is integrated to study relations between populations and exposure.
Technology in science (and beyond)
How does technology affect the ways in which scientists work, collaborate, publish and build knowledge? I study technology to understand its role as a difference-maker for the sciences and impact on our societies. I am particularly interested in digital technologies, the epistemic role of data practices and the consequences of data-intensive methods in the sciences.
Scientific quality
How can we measure quality in scientific research? In recent years many quality crises and several solutions have been discussed for the sciences (reproducibility, trustworthiness, responsibility, anti-science movements). I am interested in questions on what makes scientific data of a certain quality, how to conceptually connect data, evidence and information, and which technology can be used to assess quality.
Scientific practice and philosophy
How can historical, social and collaborative methods ground philosophical analyses? I approach my research by integrating empirical methods (interviews, participant observation) and case studies with philosophical analysis. I am interested in further developing situated, processual and empirical approaches to study the development of scientific knowledge.
Biomedical evidence is supposed to ground both research and clinical practices, science and cure. But what is biomedical knowledge? I study evidential reasoning in biomedical research to understand how epistemic strategies, values, assumptions are built into biomedical knowledge. I am particularly interested in biomedical research at the intersection between environment and health, where diverse evidence is integrated to study relations between populations and exposure.
Technology in science (and beyond)
How does technology affect the ways in which scientists work, collaborate, publish and build knowledge? I study technology to understand its role as a difference-maker for the sciences and impact on our societies. I am particularly interested in digital technologies, the epistemic role of data practices and the consequences of data-intensive methods in the sciences.
Scientific quality
How can we measure quality in scientific research? In recent years many quality crises and several solutions have been discussed for the sciences (reproducibility, trustworthiness, responsibility, anti-science movements). I am interested in questions on what makes scientific data of a certain quality, how to conceptually connect data, evidence and information, and which technology can be used to assess quality.
Scientific practice and philosophy
How can historical, social and collaborative methods ground philosophical analyses? I approach my research by integrating empirical methods (interviews, participant observation) and case studies with philosophical analysis. I am interested in further developing situated, processual and empirical approaches to study the development of scientific knowledge.
PhD Dissertation
- Title: Data Between Environment and Health: An Epistemological Study of the Exposome.
- External examiner: Federica Russo (University of Amsterdam)
- Short abstract: This thesis is a philosophical analysis of the epistemic role of scientific data in biomedical research. I use a case study approach and focus on the epidemiology of the ‘exposome’, a new line of research based on a reconceptualisation of exposure and the use of new and diverse datasets. I argue that data can sustain the subject matter of exposome research by shaping concepts, strategies, techniques and what counts as evidence. Yet, the epistemic role of data is enacted by the ways in which it is used by epistemic agents and thus constantly connected to and mediated by other artefacts, components and features of scientific inquiry.
- Keywords: Philosophy of epidemiology; Data; Evidence; Exposome; Scientific change.