{"id":6366,"date":"2025-01-13T15:45:57","date_gmt":"2025-01-13T15:45:57","guid":{"rendered":"https:\/\/www.fondazionedare.it\/?post_type=mec-events&p=6366"},"modified":"2025-01-13T15:45:57","modified_gmt":"2025-01-13T15:45:57","slug":"the-craft-of-scientific-research-lecture-2","status":"publish","type":"mec-events","link":"https:\/\/www.fondazionedare.it\/it\/events\/the-craft-of-scientific-research-lecture-2\/","title":{"rendered":"The Craft of Scientific Research: lecture 2"},"content":{"rendered":"
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The craft of Scientific Research focuses on a set of transferable skills that are deemed essential for the practice of scientific research. The first part of three lectures focuses on the fundamental concept of scientific truth and how humanity pursues it: Why do we need to know? What is a model? How do we know? Then we deliver a long list of \u201chow to\u201d lectures: How to choose a research topic, How to write and publish a scientific paper, How to review a paper or a grant, How to give a scientific presentation, How to do research, How to build and run a research group, and How to write a grant application. Grant writing and peer reviewing will also be the subject of two tutorials and two individual projects; their completion will be required to pass the exam. The delivery is hybrid: all frontal teaching will be done online, but the two tutorials require physical attendance.<\/p>\n<\/div>\n

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Lecture 2: What is a model? An evolutionary perspective<\/strong><\/p>\n

\u201cWhat is a model? An evolutionary perspective\u201d is a lecture I have been offering as a seminar for PhD students and postdocs for several years. Starting from the human need to know, we try to answer an apparently simple question: \u201cWhat is a scientific model?\u201d. Though a journey that again touches philosophy, neuroscience, and evolution theories, we arrive at an operational definition. Then, we tackle the issue of the credibility of models, both in fundamental and applied research. We conclude with some story-telling about modelling in science.<\/p>\n

To attend, access this Microsoft Teams virtual classroom<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

The craft of Scientific Research focuses on a set of transferable skills that are deemed essential for the practice of scientific research. The first part of three lectures focuses on the fundamental concept of scientific truth and how humanity pursues it: Why do we need to know? What is a model? How do we know? Then we deliver a long list of \u201chow to\u201d lectures: How to choose a research topic, How to write and publish a scientific paper, How to review a paper or a grant, How to give a scientific presentation, How to do research, How to build and run a research group, and How to write a grant application. Grant writing and peer reviewing will also be the subject of two tutorials and two individual projects; their completion will be required to pass the exam. The delivery is hybrid: all frontal teaching will be done online, but the two tutorials require physical attendance. Lecture 2: What is a model? An evolutionary perspective \u201cWhat is a model? An evolutionary perspective\u201d is a lecture I have been offering as a seminar for PhD students and postdocs for several years. Starting from the human need to know, we try to answer an apparently simple question: \u201cWhat is a scientific model?\u201d. Though a journey that again touches philosophy, neuroscience, and evolution theories, we arrive at an operational definition. Then, we tackle the issue of the credibility of models, both in fundamental and applied research. We conclude with some story-telling about modelling in science. To attend, access this Microsoft Teams virtual classroom.<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","tags":[],"mec_category":[41],"class_list":["post-6366","mec-events","type-mec-events","status-publish","hentry","mec_category-seminario"],"yoast_head":"\nThe Craft of Scientific Research: lecture 2 - Fondazione DARE<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.fondazionedare.it\/it\/events\/the-craft-of-scientific-research-lecture-2\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Craft of Scientific Research: lecture 2 - Fondazione DARE\" \/>\n<meta property=\"og:description\" content=\"The craft of Scientific Research focuses on a set of transferable skills that are deemed essential for the practice of scientific research. The first part of three lectures focuses on the fundamental concept of scientific truth and how humanity pursues it: Why do we need to know? What is a model? How do we know? Then we deliver a long list of \u201chow to\u201d lectures: How to choose a research topic, How to write and publish a scientific paper, How to review a paper or a grant, How to give a scientific presentation, How to do research, How to build and run a research group, and How to write a grant application. Grant writing and peer reviewing will also be the subject of two tutorials and two individual projects; their completion will be required to pass the exam. The delivery is hybrid: all frontal teaching will be done online, but the two tutorials require physical attendance. Lecture 2: What is a model? An evolutionary perspective \u201cWhat is a model? An evolutionary perspective\u201d is a lecture I have been offering as a seminar for PhD students and postdocs for several years. Starting from the human need to know, we try to answer an apparently simple question: \u201cWhat is a scientific model?\u201d. Though a journey that again touches philosophy, neuroscience, and evolution theories, we arrive at an operational definition. Then, we tackle the issue of the credibility of models, both in fundamental and applied research. We conclude with some story-telling about modelling in science. 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