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Big data: the end of the scientific method?
2 references·10 citing·38 second hop
Big data: the end of the scientific method? (2019)Big data: the end of the scientific metho…Big data need big theory too (2016)Big data need big theory tooA meeting with Enrico Fermi (2004)A meeting with Enrico FermiWhen we talk about Big Data, What do we really mean? Toward a more precise definition of Big Data (2024)When we talk about Big Data, …Bridging the evidence gap in spatial planning (2023)Bridging the evidence gap in …Perspective: Systems biology beyond biology (2022)Perspective: Systems biology …When we can trust computers (and when we can't) (2021)When we can trust computers (…Uncertainty quantification in classical molecular dynamics (2021)Uncertainty quantification in…Ensembles Are Required to Handle Aleatoric and Parametric Uncertainty in Molecular Dynamics Simulation (2021)Ensembles Are Required to Han…Die Methoden der sozialwissenschaftlichen Datenerhebung im digitalen Zeitalter (2021)Die Methoden der sozialwissen…Biologically grounded scientific methods: The challenges ahead for combating epidemics (2021)Biologically grounded scienti…Big Data and the Little Big Bang: An Epistemological (R)evolution (2020)Big Data and the Little Big B…Perspective: Dimensions of the scientific method (2019)Perspective: Dimensions of th…Great Books of the Western World (1952)Why Most Published Research Findings Are False (2005)Why Most Published Research Findings Are False (2005)Retailing and retailing research in the age of big data analytics (2019)Beyond Screen Time: Identity Development in the Digital Age (2020)Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure (2021)The Structure of Scientific Revolutions (1963)Conjectures and Refutations: The Growth of Scientific Knowledge. (1964)The Logic of Scientific Discovery (2013)Mathematical Modelling in Biomedicine: A Primer for the Curious and the Skeptic (2021)Science Serving Justice: Opportunities for Enhancing Integrity in Forensic Science in Africa (2021)Integrity at stake: confronting “publish or perish” in the developing world and emerging economies (2024)The economic benefits of publicly funded basic research: a critical review (2001)Reliability and reproducibility in computational science: implementing validation, verification and uncertainty quantification in silico (2021)The long road to calibrated prediction uncertainty in computational chemistry (2022)Power failure: why small sample size undermines the reliability of neuroscience (2013)Estimating the reproducibility of psychological science (2015)A rigorous uncertainty-aware quantification framework is essential for reproducible and replicable machine learning workflows (2023)Uncertainty Quantification for In Silico Chemistry (2026)Digital Natives, Digital Immigrants Part 1 (2001)CRITICAL QUESTIONS FOR BIG DATA (2012)Epistemological Challenges (2022)How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry (2023)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Verification and Validation in Scientific Computing (2010)Global ranking of the sensitivity of interaction potential contributions within classical molecular dynamics force fields (2024)The Structure of Scientific Revolutions (1963)Internet, Phone, Mail, and Mixed‐Mode Surveys (2014)Systems Theory and Biology (1968)Claude Bernard, the first systems biologist, and the future of physiology (2007)Computational Social Science and Sociology (2020)Systematic Reviews in the Social Sciences (2006)Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses (2007)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Time and identity: A framework for research and theory formation (2008)Models in biology: ‘accurate descriptions of our pathetic thinking’ (2014)Deliberative Democracy between Theory and Practice (2015)
this work references cited by second hop

References

  • 2004A meeting with Enrico Fermi321 cited
  • 2016Big data need big theory too229 cited

Cited by

  • 2021Die Methoden der sozialwissenschaftlichen Datenerhebung im digitalen Zeitalter119 cited
  • 2021Uncertainty quantification in classical molecular dynamics110 cited
  • 2019Perspective: Dimensions of the scientific method68 cited
  • 2021Ensembles Are Required to Handle Aleatoric and Parametric Uncertainty in Molecular Dynamics Simulation55 cited
  • 2020Big Data and the Little Big Bang: An Epistemological (R)evolution29 cited
  • 2021When we can trust computers (and when we can't)26 cited
  • 2024When we talk about Big Data, What do we really mean? Toward a more precise definition of Big Data12 cited
  • 2022Perspective: Systems biology beyond biology11 cited
  • 2021Biologically grounded scientific methods: The challenges ahead for combating epidemics8 cited
  • 2023Bridging the evidence gap in spatial planning3 cited

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