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====== Research Methods: References ======

===== Textbook =====

W. Booth, G. Colomb, J. Williams, "The Craft of Research". University of Chicago Press, 1995 (Excellent! Every 
researcher (or aspiring researcher should read this book).

David Lindsay, "Scientific Writing = Thinking in Words". CSIRO editions, 2011.
by David Lindsay (Author)

===== How to write scientific papers =====

  * [[http://www.nature.com/scitable/topicpage/scientific-papers-13815490|Advice on Scientific Papers by Nature]]
  * [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/scientific_writing.pdf|The
Science of Scientific Writing]], Gopen and Swan. (ótimo!).
  * [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/ashby_how_to_write_a_paper.pdf|How to write a paper]], by Mike Ashby (muito bom!).
  * [[http://www.writing.engr.psu.edu|Writing Guidelines for Engineering and Science Students]], Penn State Univ.
  * [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/good_research_talk.ppt|How to Give a Good Research Talk]], Simon Peyton Jones.

===== On the scientific method =====

  * [[http://en.wikipedia.org/wiki/Scientific_method|Scientific method]], from Wikipedia.
  * [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/popper_conjectures_refutations.pdf|"Conjectures and Refutations"]], Karl Popper.
  * [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/popper_threeviews.pdf|"Three Views Concerning Human Knowledge"]], Karl Popper.
  * [[http://www.emory.edu/EDUCATION/mfp/Kuhn.html|The Structure of Scientific Revolutions]] - An Outline and Study Guide by Frank Pajares

===== From Stanford's Encyclopedia on Philosophy  =====

  * [[http://plato.stanford.edu/entries/pseudo-science/| Science and pseudo-science]]
  * [[http://plato.stanford.edu/entries/scientific-progress/| On scientific progress]]
  * [[http://plato.stanford.edu/entries/popper/|Karl Popper]].

===== On research ethics =====

    * John Searle, [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/searle_realismo_racionalidade.pdf|"Realismo e
Racionalidade: O que está em jogo?"]].
    * Peter Medawar, [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/medawar_paper_fraud.pdf|Is the
Scientific Paper a Fraud?]]

===== On models in Earth System Science =====

  * Naomi Oreskes, Kristin Shrader-Frechette, Kenneth Belitz [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/oreskes_verification_validation.pdf|"Verification, validation, and confirmation of numerical models in the earth sciences"]]. Science, vol. 263(5147), 1994.
  * Naomi Oreskes [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/oreskes_evaluation.pdf| "Evaluation (not validation) of quantitative models"]], Environmental Health Perspectives, 1998. 
  * Naomi Oreskes [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/oreskes_role_models.pdf|"The Role of Quantitative Models in Science"]].  Chapter from the book "Models in ecosystem science", 2003.
  * Roger Pielke Jr. [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/pielke_prediction.pdf|"The Role of Models in Prediction for Decision"]]. Chapter from the book  "Prediction: Science, Decision Making, and the Future of Nature".
  * Myanna Lahsen, [[http://www.dpi.inpe.br/gilberto/cursos/cst-311//lahsen_simulations.pdf|Seductive Simulations? Uncertainty Distribution Around Climate Models]]. Social Studies of Science 35(6):895–922, 2005.

===== On research in Computer Science =====

    * Computing Research Association, [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/tenure_review.pdf|Evaluating
Computer Scientists]].
  * R Levin and D. Redell, [[http://www.usenix.org/events/samples/submit/advice.html|How (and How Not) to Write a Good Systems Paper]]  -  A must read!.
  * WF Tichy, [[http://www.dpi.inpe.br/gilberto/cursos/cst-311/ tichy_should_computer_scientists_experiment_more.pdf|Should computer scientists experiment more?, Computer, 1998]].

===== On data visualisation  =====
  * [[http://www.gapminder.org|GapMinder]] - Data and stats brilliantly presented.
  * [[http://www.visualcomplexity.com/vc/|Visual Complexity]] -  great visualisations.
  * [[http://www.datapointed.net/|Data Pointed]] - Why data need not be boring.
  * [[http://infosthetics.com/|Information Aestetics]] - Visualising information creatively.
  * [[http://book.flowingdata.com/|Flowing Data]] - How to present your data nicely.


===== English is a subtle language =====

  * [[http://www.bartleby.com/141/index.html|The Elements of Style]],William Strunk Jr. (a classic!).
  * [[http://www.cogs.susx.ac.uk/local/doc/punctuation/node00.html|Guide to Punctuation]], Larry Trask, University of Sussex.
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