What distinguishes data from models?

[1]  H. Banks,et al.  From theory to experiment and back again — Challenges in quantifying a trait-based theory of predator-prey dynamics , 2021, bioRxiv.

[2]  Jan de Leeuw,et al.  MODELS OF DATA , 2000 .

[3]  Koray Karaca,et al.  Lessons from the Large Hadron Collider for model-based experimentation: the concept of a model of data acquisition and the scope of the hierarchy of models , 2018, Synthese.

[4]  Kevin Williams,et al.  Root imaging showing comparisons in root distribution and ontogeny in novel Festulolium populations and closely related perennial ryegrass varieties , 2018, Food and Energy Security.

[5]  James Nguyen,et al.  The turn of the valve: representing with material models , 2018 .

[6]  Adrian Currie,et al.  Rock, Bone, and Ruin: An Optimist's Guide to the Historical Sciences , 2018 .

[7]  Uwe Scholz,et al.  From plant genomes to phenotypes. , 2017, Journal of biotechnology.

[8]  William Bechtel,et al.  Explaining features of fine-grained phenomena using abstract analyses of phenomena and mechanisms: two examples from chronobiology , 2017, Synthese.

[9]  Frederik Coppens,et al.  Unlocking the potential of plant phenotyping data through integration and data-driven approaches , 2017, Current opinion in systems biology.

[10]  Wendy S. Parker,et al.  Computer Simulation, Measurement, and Data Assimilation , 2017, The British Journal for the Philosophy of Science.

[11]  Sabina Leonelli,et al.  Data-Centric Biology: A Philosophical Study , 2016 .

[12]  Robert Chapman,et al.  Evidential Reasoning in Archaeology , 2016 .

[13]  Julian Reiss,et al.  Causation, Evidence, and Inference , 2015 .

[14]  Eric Gossett,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2015 .

[15]  Malia A. Gehan,et al.  Lights, camera, action: high-throughput plant phenotyping is ready for a close-up. , 2015, Current opinion in plant biology.

[16]  A. Walter,et al.  Plant phenotyping: from bean weighing to image analysis , 2015, Plant Methods.

[17]  Timothy S. George,et al.  Field Phenotyping and Long-Term Platforms to Characterise How Crop Genotypes Interact with Soil Processes and the Environment , 2014 .

[18]  Eran Tal,et al.  Old and New Problems in Philosophy of Measurement , 2013 .

[19]  Raphael van Riel,et al.  Michael Weisberg: Simulation and Similarity. Using Models to Understand the World , 2013 .

[20]  Nancy J. Nersessian,et al.  Building Simulations from the Ground Up: Modeling and Theory in Systems Biology , 2013, Philosophy of Science.

[21]  M. S. Morgan.  The World in the Model: How Economists Work and Think , 2012 .

[22]  Hans-Jörg Rheinberger,et al.  Infra-Experimentality: From Traces to Data, from Data to Patterning Facts , 2011 .

[23]  Michela Massimi,et al.  From data to phenomena: a Kantian stance , 2011, Synthese.

[24]  Uljana Feest,et al.  What exactly is stabilized when phenomena are stabilized? , 2011, Synthese.

[25]  Tarja Knuuttila,et al.  Modelling and representing: An artefactual approach to model-based representation , 2011 .

[26]  Luciano Floridi,et al.  What is the Philosophy of Information , 2002 .

[27]  J. McAllister.  The Ontology of Patterns in Empirical Data , 2010, Philosophy of Science.

[28]  J. Norton.  There Are No Universal Rules for Induction , 2010, Philosophy of Science.

[29]  P. Teller.  “Saving the Phenomena” Today , 2010, Philosophy of Science.

[30]  Roman Frigg,et al.  Fiction and Scientific Representation , 2010 .

[31]  P. N. Edwards.  A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming , 2010 .

[32]  Margaret Morrison,et al.  Models, measurement and computer simulation: the changing face of experimentation , 2009 .

[33]  Sabina Leonelli,et al.  Performing abstraction: two ways of modelling Arabidopsis thaliana , 2008 .

[34]  M. Bradie.  :Re-Engineering Philosophy for Limited Beings: Piecewise Approximations to Reality , 2008 .

[35]  Patrick Suppes,et al.  Statistical concepts in philosophy of science , 2007, Synthese.

[36]  Mauricio Suárez,et al.  An Inferential Conception of Scientific Representation , 2004, Philosophy of Science.

[37]  Todd R. Harris,et al.  Data Models and the Acquisition and Manipulation of Data , 2003, Philosophy of Science.

[38]  James Woodward,et al.  Data, Phenomena, and Reliability , 2000, Philosophy of Science.

[39]  Friedrich Steinle,et al.  Entering New Fields: Exploratory Uses of Experimentation , 1997, Philosophy of Science.

[40]  P. Suppes.  Perception, models, and data: Some comments , 1997 .

[41]  J. Woodward,et al.  Saving the phenomena , 1988 .

[42]  S. Leonelli,et al.  From Dirty Data to Tidy Facts , 2020 .

[43]  Inventing Temperature , 2019, Thermodynamic Weirdness.

[44]  Heike Freud,et al.  Error And The Growth Of Experimental Knowledge , 2016 .

[45]  Ines Fischer,et al.  Scientific Representation: Paradoxes of Perspective , 2009 .

[46]  Doreen Schweizer,et al.  Scientific Models In Philosophy Of Science , 2016 .

[47]  Axel Gelfert,et al.  How to Do Science with Models , 2016 .

[48]  Karin Baier,et al.  The Uses Of Argument , 2016 .

[49]  H. Rheinberger.  Preparations, models, and simulations , 2015, History and philosophy of the life sciences.

[50]  Adam Toon,et al.  Models as Make-Believe: Imagination, Fiction and Scientific Representation , 2012 .

[51]  C. Waters,et al.  The nature and context of exploratory experimentation: an introduction to three case studies of exploratory research. , 2007, History and philosophy of the life sciences.

[52]  Maureen A. O’Malley,et al.  Exploratory experimentation and scientific practice: metagenomics and the proteorhodopsin case. , 2007, History and philosophy of the life sciences.

[53]  Petr Hájek,et al.  Logic, methodology and philosophy of Science , 2005 .

[54]  Ronald N. Giere,et al.  Using Models to Represent Reality , 1999 .

[55]  Lorenzo Magnani,et al.  Model-Based Reasoning in Scientific Discovery , 1999, Springer US.

[56]  R. Burian,et al.  Exploratory experimentation and the role of histochemical techniques in the work of Jean Brachet, 1938-1952. , 1997, History and philosophy of the life sciences.