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1.intro2css.ipynb renamed to .ipynb_checkpoints/01.intro2css-checkpoint.ipynb

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"\n",
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"Introduction to Computational Social Science\n",
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"\n",
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"\n",
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"王成军\n",
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"\n",
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"wangchengjun@nju.edu.cn"
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{
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"cell_type": "markdown",
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"metadata": {
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"cell_style": "center",
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"slideshow": {
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"slide_type": "subslide"
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}
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},
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"source": [
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"Education is not the filling of a vessel, but the kinding of a flame.\n",
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"### Education is not the filling of a vessel, but the kinding of a flame.\n",
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"\n",
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"> ![](./img/socrates.jpg)\n",
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"![ask.png](./img/torch.gif)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"cell_style": "center",
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"source": [
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"课程资料 https://github.com/computational-class/css\n",
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"\n",
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"课程资料 https://github.com/computational-class/css"
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"> ![](./img/socrates.jpg)\n",
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"\n"
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]
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},
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{
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}
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},
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"source": [
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"![cssbook.png](./img/cssbook.png)\n",
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"\n",
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"Cioffi-Revilla, Claudio (2014). Introduction to Computational Social Science. Springer-Verlag, London.\n"
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]
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"source": [
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"> “In short, a computational social science is emerging **field** that leverages the capacity to collect and analyze **data** with an unprecedented breadth and depth and scale.” (Lazer et al. 2009.)\n",
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"\n",
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"![](./img/blogs.png)\n",
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"\n",
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"Lazer, D. et al. 2009. Computational Social Science. Science. 6 February 2009: Vol. 323, no. 5915, pp. 721-723."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "subslide"
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}
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},
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"source": [
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"\n",
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"A field is emerging that leverages the capacity to collect and analyze data at a scale that may reveal **patterns** of individual and group behaviors.\n",
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"\n",
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"- We live life in the **network**.\n",
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"- Each of these transactions leaves **digital traces** that can be compiled into comprehensive pictures of both individual and group behavior, with the potential to transform our understanding of our lives, organizations, and societies.\n",
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"- But the emergence of a **data-driven** “computational social science” has been much slower.\n",
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"- But computational social science is occurring—in Internet companies such as Google and Yahoo, and in government agencies such as the U.S. National Security Agency. \n",
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"\n",
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"Lazer, D. et al. 2009. Computational Social Science. Science. 6 February 2009: Vol. 323, no. 5915, pp. 721-723."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "subslide"
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}
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},
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"source": [
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"- Computational social science could **become the exclusive domain** of private companies and government agencies. Alternatively, there might emerge a privileged set of academic researchers presiding over private data from which they produce papers that cannot be critiqued or replicated.\n",
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"- Theoretical limitations\n",
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" - These vast, emerging data sets on how people interact surely offer qualitatively new perspectives on collective human behavior, but our current paradigms may not be receptive.\n",
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"- There are also enormous institutional obstacles.\n",
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"- Perhaps the thorniest challenges exist on the data side, with respect to access and privacy.\n",
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" - Institutional Review Boards (IRBs) \n",
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"\n",
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"\n",
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"Lazer, D. et al. 2009. Computational Social Science. Science. 6 February 2009: Vol. 323, no. 5915, pp. 721-723."
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]
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},
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]
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.ipynb_checkpoints/09.09.neural_network_1-checkpoint.ipynb

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"# This is the END"
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"cell_type": "code",
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"execution_count": null,
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