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The Causal Nature of Modeling with Big Data
16 references·12 citing·31 second hop
The Causal Nature of Modeling with Big Data (2015)The Causal Nature of Modeling with Big Da…Big Data, new epistemologies and paradigm shifts (2014)Big Data, new epistemologies …The Fourth Paradigm: Data-Intensive Scientific Discovery (2009)The Fourth Paradigm: Data-Int…"The End of Theory: The Data Deluge Makes the Scientific Method Obsolete" (2008)"The End of Theory: The Data …Making things happen: a theory of causal explanation (2004)Making things happen: a theor…The Dappled World (1999)The Dappled WorldStructural Realism: The Best of Both Worlds? (1989)Structural Realism: The Best …Representing and Intervening (1983)Representing and InterveningHow the Laws of Physics Lie (1983)How the Laws of Physics LieHow the Laws of Physics Lie (1983)How the Laws of Physics LieThe Cement of the Universe (1980)The Cement of the UniverseHistory and philosophy of the life sciences (1979)History and philosophy of the…Causation (1973)CausationCauses and Conditions (1965)Causes and ConditionsAn Inquiry concerning human understanding (1955)An Inquiry concerning human u…The Aim and Structure of Physical Theory (1954)The Aim and Structure of Phys…An Enquiry Concerning Human Understanding (1777)An Enquiry Concerning Human U…The importance of expert knowledge in big data and machine learning (2023)The importance of expert know…Varieties of Data-Centric Science: Regional Climate Modeling and Model Organism Research (2022)Varieties of Data-Centric Sci…Reflexivity and fragility (2022)Reflexivity and fragilityBig Data (2021)Big DataUnderstanding climate phenomena with data-driven models (2020)Understanding climate phenome…The Fate of Explanatory Reasoning in the Age of Big Data (2020)The Fate of Explanatory Reaso…The challenges of big data biology (2019)The challenges of big data bi…Big data and prediction: Four case studies (2019)Big data and prediction: Four…The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges (2017)The Scope of Big Data in One …Simplified models: a different perspective on models as mediators (2017)Simplified models: a differen…Conceptions of Good Science in Our Data-Rich World (2016)Conceptions of Good Science i…Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS (2016)Big Data, epistemology and ca…THE STRUCTURE OF SCIENTIFIC REVOLUTIONS (1963)The Structure of Scientific Revolutions (1963)CRITICAL QUESTIONS FOR BIG DATA (2012)Algorithmic regulation: A critical interrogation (2017)Working and organizing in the age of the learning algorithm (2018)A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022)Explanation and Understanding (2005)Explanation: a mechanist alternative (2005)An Engine, Not a Camera (2006)The Cambridge handbook of thinking and reasoning (2005)Causal Mechanisms in the Social Sciences (2010)A network theory of mental disorders (2017)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)The theoretical status of latent variables. (2003)The Practice Turn in Contemporary Theory (2005)Falsification and the Methodology of Scientific Research Programmes (1976)The Nature of Theory in Information Systems1 (2006)A Realist Theory of Science (2013)Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter (2011)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (2019)Linking Ways of Knowing with Ways of Being Practical (1977)Does Unemployment Cause Future Unemployment? Definitions, Questions and Answers from a Continuous Time Model of Heterogeneity and State Dependence (1980)Social Theory of International Politics (1999)Posthumanist Performativity: Toward an Understanding of How Matter Comes to Matter (2003)Laws and Symmetry (1989)Knowledge in a Social World (1999)Ethics Without Principles (2004)Causality and Explanation (1998)Causes and Explanations: A Structural-Model Approach. Part I: Causes (2005)Necessary Condition Analysis (NCA) (2015)
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References

  • 1983Representing and Intervening4,811 cited
  • 2004Making things happen: a theory of causal explanation3,371 cited
  • 1983How the Laws of Physics Lie3,186 cited
  • 1999The Dappled World2,475 cited
  • 2014Big Data, new epistemologies and paradigm shifts2,351 cited
  • 1954The Aim and Structure of Physical Theory2,128 cited
  • 1983How the Laws of Physics Lie2,082 cited
  • 1973Causation1,916 cited
  • 1955An Inquiry concerning human understanding1,768 cited
  • 2009The Fourth Paradigm: Data-Intensive Scientific Discovery1,415 cited
  • 1989Structural Realism: The Best of Both Worlds?1,285 cited
  • 1965Causes and Conditions1,164 cited
  • 2008"The End of Theory: The Data Deluge Makes the Scientific Method Obsolete"1,064 cited
  • 1979History and philosophy of the life sciences1,052 cited
  • 1777An Enquiry Concerning Human Understanding972 cited
  • 1980The Cement of the Universe651 cited

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  • 2017

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The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges
68 cited
  • 2019The challenges of big data biology64 cited
  • 2020Understanding climate phenomena with data-driven models53 cited
  • 2016Conceptions of Good Science in Our Data-Rich World43 cited
  • 2019Big data and prediction: Four case studies39 cited
  • 2021Big Data32 cited
  • 2023The importance of expert knowledge in big data and machine learning31 cited
  • 2016Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS31 cited
  • 2017Simplified models: a different perspective on models as mediators29 cited
  • 2022Reflexivity and fragility21 cited
  • 2020The Fate of Explanatory Reasoning in the Age of Big Data18 cited
  • 2022Varieties of Data-Centric Science: Regional Climate Modeling and Model Organism Research14 cited