====== 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. ===== Thesis and Dissertations at INPE ===== * [[http://mtc-m16c.sid.inpe.br/rep/8JMKD3MGP8W/PGU542|Manual para Elaboração, Formatação e Submissão de Teses, Dissertações e Outras Publicações do INPE]]