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‎notebook/.ipynb_checkpoints/01.intro2css-checkpoint.ipynb‎

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"\n",
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"| 日期 | 内容 | 时长 |\n",
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"| -------- | --------------------------------------- | ------ |\n",
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"| 8月6日 | 第一天 计算社会科学简介 | 3小时 |\n",
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"| 8月6日 | 第一天 计算社会科学简介 | 3小时 |\n",
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"| 8月7日 | 第二天 网络科学与复杂性科学 | 3小时 |\n",
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"| 8月8日 | 第三天 因果推断与在线实验 | 3小时 |\n",
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"| 8月9日 | 第四天 计算机仿真 | 3小时 |\n",
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"| 8月10日 | 第五天 大数据 | 3小时 |\n",
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"| 8月11日 | 第六天机器学习简介 | 8小时 |\n",
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"| 8月12日 | 第七天 休息 | 9小时 |\n",
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"| 8月13日 | 第八天 神经网络 | 10小时 |\n",
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"| 8月14日 | 第九天 词向量嵌入模型 | 11小时 |\n",
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"| 8月15日 | 第十天 自然语言处理初步 | 12小时 |\n"
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"| 8月9日 | 第四天 计算机仿真 | 3小时 |\n",
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"| 8月10日 | 第五天 大数据 | 3小时 |\n",
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"| 8月11日 | 第六天机器学习简介 | 3小时 |\n",
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"| 8月12日 | 第七天 休息 | |\n",
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"| 8月13日 | 第八天 神经网络 | 3小时 |\n",
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"| 8月14日 | 第九天 自然语言处理初步 | 3小时 |\n",
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"| 8月15日 | 第十天 词向量嵌入模型 | 3小时 |\n"
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]
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},
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{
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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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"\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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"- 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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"- 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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"\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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"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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" - 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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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}

‎notebook/01.intro2css.ipynb‎

Lines changed: 24 additions & 10 deletions
Original file line numberDiff line numberDiff line change
@@ -111,16 +111,16 @@
111111
"\n",
112112
"| 日期 | 内容 | 时长 |\n",
113113
"| -------- | --------------------------------------- | ------ |\n",
114-
"| 8月6日 | 第一天 计算社会科学简介 | 3小时 |\n",
114+
"| 8月6日 | 第一天 计算社会科学简介 | 3小时 |\n",
115115
"| 8月7日 | 第二天 网络科学与复杂性科学 | 3小时 |\n",
116116
"| 8月8日 | 第三天 因果推断与在线实验 | 3小时 |\n",
117-
"| 8月9日 | 第四天 计算机仿真 | 3小时 |\n",
118-
"| 8月10日 | 第五天 大数据 | 3小时 |\n",
119-
"| 8月11日 | 第六天机器学习简介 | 8小时 |\n",
120-
"| 8月12日 | 第七天 休息 | 9小时 |\n",
121-
"| 8月13日 | 第八天 神经网络 | 10小时 |\n",
122-
"| 8月14日 | 第九天 词向量嵌入模型 | 11小时 |\n",
123-
"| 8月15日 | 第十天 自然语言处理初步 | 12小时 |\n"
117+
"| 8月9日 | 第四天 计算机仿真 | 3小时 |\n",
118+
"| 8月10日 | 第五天 大数据 | 3小时 |\n",
119+
"| 8月11日 | 第六天机器学习简介 | 3小时 |\n",
120+
"| 8月12日 | 第七天 休息 | |\n",
121+
"| 8月13日 | 第八天 神经网络 | 3小时 |\n",
122+
"| 8月14日 | 第九天 自然语言处理初步 | 3小时 |\n",
123+
"| 8月15日 | 第十天 词向量嵌入模型 | 3小时 |\n"
124124
]
125125
},
126126
{
@@ -318,8 +318,23 @@
318318
"\n",
319319
"- We live life in the **network**.\n",
320320
"- 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",
321+
"\n",
322+
"\n",
323+
"Lazer, D. et al. 2009. Computational Social Science. Science. 6 February 2009: Vol. 323, no. 5915, pp. 721-723."
324+
]
325+
},
326+
{
327+
"cell_type": "markdown",
328+
"metadata": {
329+
"slideshow": {
330+
"slide_type": "subslide"
331+
}
332+
},
333+
"source": [
321334
"- But the emergence of a **data-driven** “computational social science” has been much slower.\n",
322335
"- 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",
336+
"- 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",
337+
"\n",
323338
"\n",
324339
"Lazer, D. et al. 2009. Computational Social Science. Science. 6 February 2009: Vol. 323, no. 5915, pp. 721-723."
325340
]
@@ -332,9 +347,8 @@
332347
}
333348
},
334349
"source": [
335-
"- 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",
336350
"- Theoretical limitations\n",
337-
" - 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",
351+
" - 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",
338352
"- There are also enormous institutional obstacles.\n",
339353
"- Perhaps the thorniest challenges exist on the data side, with respect to access and privacy.\n",
340354
" - Institutional Review Boards (IRBs) \n",

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