How to be a modern scientist (繁體中文版)
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How to be a modern scientist (繁體中文版)

關於本書

學術界的面貌正在改變。單是發表或淹沒已經不夠了。我們現在生活在一個Twitter, Github, Figshare, 和 Alt Metrics已經成為科學工作流程的常見部分的時代。我在這裡提供高層次的建議,關於要使用哪些工具,如何使用它們,以及需要注意哪些地方。這本書適合所有階段的科學家,他們想要跟上影響現代科學職業生涯的最新技術發展。這本書部分基於作者的熱門指南,包括審查論文、閱讀論文、職業規劃、演講的指南。

這本書更適合科學領域的研究生和博士後,但對於其他希望利用現代工具改進科研流程的人也可能感興趣。

關於作者:Jeff Leek 是Johns Hopkins Bloomberg公共衛生學院的生物統計學副教授。他是Coursera上的Johns Hopkins Data Science Specialization的共同創辦人和共同主任,已有超過300萬有志成為數據科學家的人報名參加。他的研究對我們理解大腦發育、直接外力創傷和癌症的基因基礎有所貢獻。他在Simply Statistics上寫博客,並可以在Twitter上找到他:@jtleek@simplystats

本書是How to be a modern scientist的中文 (繁體)譯本,原文是用英語撰寫的。

關於作者們

Jeffrey Leek
Jeffrey Leek

Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.

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To see the output of TranslateAI right now, you can check out these two books: How To Be a Modern Scientist and The Elements of Data Analytic Style by bestselling Leanpub author Jeffrey Leek.

Both of these books have been translated into 31 languages using our innovative TranslateAI service for non-fiction authors! Scroll down on the books' landing pages to see the translations. (Both these books and all their translations have a free minimum price, so feel free to buy it for free in both the English language version and in one or more translations if you want to see what TranslateAI can do.)

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目錄

    • 引言
    • 論文寫作
      • 寫作 - 我應該做什麼以及為什麼?
      • 寫作 - 我應該使用哪些工具?
      • 寫作 - 更多提示和問題
    • 發表
      • 發表 - 我應該做什麼以及為什麼?
      • 發表 - 我應該使用哪些工具?
      • 出版 - 更多提示和問題
    • 同行評審
      • 同行評審 - 我應該做什麼以及為什麼?
      • 同行評審 - 我應該使用哪些工具?
      • 同儕審查 - 進一步的提示與問題
    • 資料共享
      • 資料共享 - 我應該做什麼以及為什麼?
      • 資料共享 - 我應該使用哪些工具?
      • 數據分享 - 進一步的提示和問題
    • 科學部落格
      • 部落格 - 我應該做些什麼以及為什麼?
      • 部落格 - 我應該使用哪些工具?
      • 部落格 - 進階提示與問題
    • 科學程式碼
      • 科學程式碼 - 我應該做什麼以及為什麼?
      • 科學程式碼 - 我應該使用什麼工具?
      • 科學代碼 - 進一步的提示和問題
    • 科學中的社交媒體
      • 社交媒體 - 我應該做什麼以及為什麼?
      • 社交媒體 - 我應該使用什麼工具?
      • 社交媒體 - 更多提示和問題
    • 科學教學
      • 教學 - 我應該做什麼以及為什麼?
      • 教學 - 我應該使用哪些工具?
      • 教學 - 進一步的提示和問題
    • 書籍
      • 書籍 - 我應該做什麼以及為什麼?
      • 書籍 - 我應該使用哪些工具?
      • 書籍 - 進一步的提示和問題
    • 內部科學溝通
      • 內部溝通 - 我應該做什麼以及為什麼?
      • 內部溝通 - 我應該使用哪些工具?
      • 內部溝通 - 進一步的提示和問題
    • 科學講座
      • 科學講座 - 我應該做什麼以及為什麼?
      • 科學講座 - 我應該使用什麼工具?
      • 科學講座 - 進一步的提示和問題
    • 閱讀科學論文
      • 閱讀科學論文 - 我應該做什麼以及為什麼?
      • 閱讀科學論文 - 我應該使用哪些工具?
      • 閱讀科學論文 - 更多提示和技巧
    • 信用
      • 信用 - 我應該做什麼以及為什麼?
      • 信用 - 我應該使用哪些工具?
      • 信用 - 更多提示和問題
    • 職業規劃
      • 職業規劃 - 我應該做什麼以及為什麼?
      • 職業規劃 - 我應該使用什麼工具?
    • 您的線上身份
      • 您的線上身份 - 我應該做什麼以及為什麼?
      • 您的線上身份 - 您應該使用哪些工具?
      • 您的線上身份 - 更多提示和技巧
    • 關於作者
      • 您應該效仿我嗎?

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