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Monica Di Fiore

Biographic Data

ID5773901
NAMEMonica Di Fiore
GIVEN NAMESMonica
FAMILY NAMEDi Fiore
SIGNATUREDI FIORE M
AFFILIATIONSInstitute of Cognitive Sciences and Technologies
ORCID0000-0002-2621-8775
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS6
AUTHOR COUNT5
EDITOR COUNT1
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2023
H-INDEX1
  • The Politics of Modelling: Numbers Between Science and Policy

    Andrea Saltelli, Monica Di Fiore•BOOK•Politics of Modelling•2023

    Climate change and COVID-19 have brought mathematical models into the forefront of politics and decision-making, where they are now being used to justify momentous and often controversial decisions. Such models are technically very complex, and sources of political authority. Yet disagreement among experts fuels a growing uneasiness about the quality and significance of the numbers that models produce. This multidisciplinary volume takes a critic…

  • The Challenge of Quantification: An Interdisciplinary Reading

    Open Access•Monica Di Fiore, Marta Kuc-Czarnecka et al.•ARTICLE•Minerva•2022•Cited by: 1•References: 15

    The present work looks at what we call "the multiverse of quantification", where visible and invisible numbers permeate all aspects and venues of life. We review the contributions of different authors who focus on the roles of quantification in society, with the aim of capturing different and sometimes separate voices. Several scholars, including economists, jurists, philosophers, sociologists, communication and data scientists, express concerns …

  • Science, the endless frontier of regulatory capture

    Open Access•Andrea Saltelli, Dorothy J Dankel et al.•ARTICLE•Futures•2022•Cited by: 5•References: 32

    In this paper we explore five recent cases of regulatory capture in Europe and zoom in on a form of corporate penetration which is based on a strategic use of the image and legitimacy of science. We examine cases in which lobbyists present themselves as upholders of science and of evidence-based policy, intervene directly in the methodological and ethical aspects of science for policy-making, thus imprinting their own agenda on the societal funct…

  • Five ways to ensure that models serve society: A manifesto

    Open Access•Andrea Saltelli, Gabriele Bammer et al.•ARTICLE•Nature•2020

  • From sociology of quantification to ethics of quantification

    Open Access•Andrea Saltelli, Monica Di Fiore•ARTICLE•Humanities and Social Sciences…•2020

    Quantifications are produced by several disciplinary houses in a myriad of different styles. The concerns about unethical use of algorithms, unintended consequences of metrics, as well as the warning about statistical and mathematical malpractices are all part of a general malaise, symptoms of our tight addiction to quantification. What problems are shared by all these instances of quantification? After reviewing existing concerns about different…

  • A New Bet for Scientists? Implementing the Responsible Research and Innovation (RRI) approach in the practices of research institutions

    Open Access•Alba L’Astorina, Monica Di Fiore•ARTICLE•Relations•2017

    In last years, the European Commission has promoted an approach that seeks to anticipate and assess potential implications and societal expectations with regard to research and innovation, with the aim to foster the "design of inclusive and sustainable research and innovation". The approach, called Responsible Research and Innovation (RRI), has become a crosscutting theme of Horizon 2020, the most important European research funding system. RRI h…

  • Science, the endless frontier of regulatory capture

    Open Access•Andrea Saltelli, Dorothy J Dankel et al.•ARTICLE•Futures•2022•Cited by: 5•References: 32

    In this paper we explore five recent cases of regulatory capture in Europe and zoom in on a form of corporate penetration which is based on a strategic use of the image and legitimacy of science. We examine cases in which lobbyists present themselves as upholders of science and of evidence-based policy, intervene directly in the methodological and ethical aspects of science for policy-making, thus imprinting their own agenda on the societal funct…

  • The Challenge of Quantification: An Interdisciplinary Reading

    Open Access•Monica Di Fiore, Marta Kuc-Czarnecka et al.•ARTICLE•Minerva•2022•Cited by: 1•References: 15

    The present work looks at what we call "the multiverse of quantification", where visible and invisible numbers permeate all aspects and venues of life. We review the contributions of different authors who focus on the roles of quantification in society, with the aim of capturing different and sometimes separate voices. Several scholars, including economists, jurists, philosophers, sociologists, communication and data scientists, express concerns …

  • A New Bet for Scientists? Implementing the Responsible Research and Innovation (RRI) approach in the practices of research institutions

    Open Access•Alba L’Astorina, Monica Di Fiore•ARTICLE•Relations•2017

    In last years, the European Commission has promoted an approach that seeks to anticipate and assess potential implications and societal expectations with regard to research and innovation, with the aim to foster the "design of inclusive and sustainable research and innovation". The approach, called Responsible Research and Innovation (RRI), has become a crosscutting theme of Horizon 2020, the most important European research funding system. RRI h…

  • Five ways to ensure that models serve society: A manifesto

    Open Access•Andrea Saltelli, Gabriele Bammer et al.•ARTICLE•Nature•2020

  • From sociology of quantification to ethics of quantification

    Open Access•Andrea Saltelli, Monica Di Fiore•ARTICLE•Humanities and Social Sciences…•2020

    Quantifications are produced by several disciplinary houses in a myriad of different styles. The concerns about unethical use of algorithms, unintended consequences of metrics, as well as the warning about statistical and mathematical malpractices are all part of a general malaise, symptoms of our tight addiction to quantification. What problems are shared by all these instances of quantification? After reviewing existing concerns about different…

  • The Challenge of Quantification: An Interdisciplinary Reading

    Open Access•Monica Di Fiore, Marta Kuc-Czarnecka et al.•ARTICLE•Minerva•2022•Cited by: 1•References: 15

    The present work looks at what we call "the multiverse of quantification", where visible and invisible numbers permeate all aspects and venues of life. We review the contributions of different authors who focus on the roles of quantification in society, with the aim of capturing different and sometimes separate voices. Several scholars, including economists, jurists, philosophers, sociologists, communication and data scientists, express concerns …

  • Science, the endless frontier of regulatory capture

    Open Access•Andrea Saltelli, Dorothy J Dankel et al.•ARTICLE•Futures•2022•Cited by: 5•References: 32

    In this paper we explore five recent cases of regulatory capture in Europe and zoom in on a form of corporate penetration which is based on a strategic use of the image and legitimacy of science. We examine cases in which lobbyists present themselves as upholders of science and of evidence-based policy, intervene directly in the methodological and ethical aspects of science for policy-making, thus imprinting their own agenda on the societal funct…

  • The Politics of Modelling: Numbers Between Science and Policy

    Andrea Saltelli, Monica Di Fiore•BOOK•Politics of Modelling•2023

    Climate change and COVID-19 have brought mathematical models into the forefront of politics and decision-making, where they are now being used to justify momentous and often controversial decisions. Such models are technically very complex, and sources of political authority. Yet disagreement among experts fuels a growing uneasiness about the quality and significance of the numbers that models produce. This multidisciplinary volume takes a critic…

Political science (6 works) · Law (5 works) · Sociology (5 works) · Engineering (4 works) · Epistemology (4 works) · Engineering ethics (3 works) · Politics (3 works) · Social science (3 works) · Computer Science (2 works) · Discipline (2 works)

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