{"id":10588,"date":"2021-10-22T09:57:50","date_gmt":"2021-10-22T00:57:50","guid":{"rendered":"https:\/\/www.waseda.jp\/inst\/sgu\/?p=10588"},"modified":"2021-10-22T09:57:50","modified_gmt":"2021-10-22T00:57:50","slug":"%e5%8f%97%e8%ac%9b%e3%83%ac%e3%83%9d%e3%83%bc%e3%83%88%ef%bc%9a2021-icpsr%e3%82%b5%e3%83%9e%e3%83%bc%e3%83%97%e3%83%ad%e3%82%b0%e3%83%a9%e3%83%a0","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/inst\/sgu\/news-through-2023\/2021\/10\/22\/10588\/","title":{"rendered":"\u53d7\u8b1b\u30ec\u30dd\u30fc\u30c8\uff1a2021 ICPSR\u30b5\u30de\u30fc\u30d7\u30ed\u30b0\u30e9\u30e0"},"content":{"rendered":"

\u793e\u4f1a\u79d1\u5b66\u306b\u95a2\u3059\u308b\u4e16\u754c\u6700\u5927\u306e\u8abf\u67fb\u30c7\u30fc\u30bf\u30a2\u30fc\u30ab\u30a4\u30d6\u3092\u4fdd\u6709\u3059\u308bICPSR<\/a> (Inter-university Consortium for Political and Social Research) \u306f\u3001\u672c\u90e8\u306e\u3042\u308b\u30df\u30b7\u30ac\u30f3\u5927\u5b66\u3067\u7d71\u8a08\u30fb\u30c7\u30fc\u30bf\u5206\u6790\u306e\u30b5\u30de\u30fc\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u958b\u50ac\u3057\u3066\u3044\u307e\u3059\u30021960\u5e74\u4ee3\u304b\u3089\u7d9a\u304fICPSR\u30b5\u30de\u30fc\u30d7\u30ed\u30b0\u30e9\u30e0<\/a>\u306f\u4eca\u5e74\u5ea6\u3082\u6628\u5e74\u5ea6\u306b\u7d9a\u304d\u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\u3068\u306a\u308a\u3001\uff14\uff10\u4ee5\u4e0a\u306e\u30b3\u30fc\u30b9\u306b\u3064\u3044\u3066\uff14\u9031\u9593\u306b\u308f\u305f\u308b\u96c6\u4e2d\u8b1b\u7fa9\u304c\u884c\u308f\u308c\u307e\u3057\u305f\u3002SGU\u5b9f\u8a3c\u653f\u6cbb\u7d4c\u6e08\u5b66\u62e0\u70b9\u3067\u306f\u3001\u4f8b\u5e74\u3053\u306e\u30b5\u30de\u30fc\u30d7\u30ed\u30b0\u30e9\u30e0\u306b\u53c2\u52a0\u3059\u308b\u5927\u5b66\u9662\u751f\u306b\u53d7\u8b1b\u6599\u306e\u88dc\u52a9\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002\u4eca\u5e74\u306f\u305d\u306e\u652f\u63f4\u306e\u4e0b\u3001\u653f\u6cbb\u5b66\u7814\u7a76\u79d1\u3068\u7d4c\u6e08\u5b66\u7814\u7a76\u79d1\u304b\u3089\u8a08\uff13\u540d\u306e\u5927\u5b66\u9662\u751f\u304c\u3053\u306e\u9577\u4e01\u5834\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u306b\u53d6\u308a\u7d44\u307f\u307e\u3057\u305f\u3002<\/p>\n

 <\/p>\n

\u4e0b\u7530 \u5343\u83ef (SHIMODA, Chika)<\/h3>\n

\u6240\u5c5e\u30fb\u5b66\u5e74\uff1a<\/strong>\u653f\u6cbb\u5b66\u7814\u7a76\u79d1 \u535a\u58eb\u5f8c\u671f\u8ab2\u7a0b\uff11\u5e74
\n\u7814\u7a76\u5206\u91ce\uff1a<\/strong>\u73fe\u4ee3\u653f\u6cbb
\n\u53d7\u8b1b\u30b3\u30fc\u30b9\uff1a<\/strong>Data Science and Text Analysis,\u00a0Time Series Analysis II: Advanced Topics,\u00a0Introduction to the LaTeX Text Processing System,\u00a0Introduction to Python,\u00a0Categorical Data Analysis,\u00a0Introduction to the R Statistical Computing Environment<\/p>\n

\u30b3\u30fc\u30b9\u5185\u5bb9\uff1a<\/strong>
\nData Science and Text Analysis\u3067\u306f\u3001\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066\u6700\u5148\u7aef\u306e\u793e\u4f1a\u79d1\u5b66\u7814\u7a76\u3092\u8ffd\u6c42\u3059\u308b\u305f\u3081\u306e\u7406\u8ad6\u7684\u80cc\u666f\u3001\u5b9f\u8df5\u7684\u7d4c\u9a13\u3001\u304a\u3088\u3073\u6280\u8853\u7684\u80fd\u529b\u306e\u990a\u6210\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u305f\u3002\u3053\u306e\u30b3\u30fc\u30b9\u306f\u3001\u30c7\u30fc\u30bf\u53ce\u96c6\u3068\u524d\u51e6\u7406\u304b\u3089\u8aac\u660e\u3068\u63a8\u8ad6\u5206\u6790\u307e\u3067\u3001\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306e\u65b0\u3057\u3044\u5206\u91ce\u304b\u3089\u5f15\u304d\u51fa\u3055\u308c\u305f\u6280\u8853\u306b\u7279\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u3001\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066\u7814\u7a76\u3092\u884c\u3046\u305f\u3081\u306e\u4e3b\u8981\u306a\u6280\u8853\u7684\u5074\u9762\u3092\u30ab\u30d0\u30fc\u3059\u308b\u3088\u3046\u306a\u6388\u696d\u304c\u306a\u3055\u308c\u305f\u3002<\/p>\n

\u53d7\u8b1b\u3067\u5f97\u305f\u6210\u679c\uff1a<\/strong>
\n\u30b3\u30fc\u30b9\u306e\u7d42\u308f\u308a\u9803\u306b\u3001\u5b66\u8853\u96d1\u8a8c\u306e\u8a18\u4e8b\u3068\u3057\u3066\u516c\u958b\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u305f\u7814\u7a76\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u904e\u7a0b\u3067\u906d\u9047\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u30c7\u30fc\u30bf\u53ce\u96c6\u304a\u3088\u3073\u7ba1\u7406\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u305f\u3081\u306b\u5fc5\u8981\u306a\u57fa\u672c\u7684\u306a\u30b9\u30ad\u30eb\u3092\u8eab\u306b\u4ed8\u3051\u305f\u3002\u307e\u305f\u3001\u30c7\u30b8\u30bf\u30eb\u30c6\u30ad\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u3066\u524d\u51e6\u7406\u3057\u3001\u30c7\u30fc\u30bf\u306b\u591a\u304f\u306e\u6a19\u6e96\u7684\u306a\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u624b\u6cd5\u3092\u9069\u7528\u3059\u308b\u30b9\u30ad\u30eb\u3068\u7d4c\u9a13\u3082\u7fd2\u5f97\u3057\u305f\u3002<\/p>\n

\u4eca\u5f8c\u306e\u7814\u7a76\u306b\u3069\u3046\u751f\u304b\u305b\u308b\u304b\uff1a<\/strong>
\n\u6559\u79d1\u66f8\u306e\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u30fb\u5185\u5bb9\u5206\u6790\u306b\u6d3b\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u8003\u3048\u3066\u3044\u308b\u3002\u3068\u308a\u308f\u3051\u3001\u5b9f\u969b\u306bR\u3092\u7528\u3044\u305f\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u4f5c\u6210\u3001\u95a2\u9023\u3059\u308b\u5358\u8a9e\u3092\u7d50\u3073\u3064\u3051\u305f\u30ef\u30fc\u30c9\u30af\u30e9\u30a6\u30c9\u306a\u3069\u3092\u3001\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u3092\u7528\u3044\u305f\u81ea\u8eab\u306e\u7814\u7a76\u306b\u76f4\u63a5\u6d3b\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u8003\u3048\u3066\u3044\u308b\u3002<\/p>\n

\u5f8c\u8f29\u3078\u306e\u30a2\u30c9\u30d0\u30a4\u30b9\uff1a<\/strong>
\n\u82f1\u8a9e\u304c\u30cd\u30a4\u30c6\u30a3\u30d6\u3067\u306a\u3044\u4eba\u306f\u3001\u53d7\u8b1b\u3092\u8e8a\u8e87\u308f\u308c\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u304c\u3001\u5148\u751f\u5074\u304b\u3089\u4e00\u65b9\u7684\u306b\uff11\u4eba\u306e\u751f\u5f92\u306b\u8cea\u554f\u3057\u305f\u308a\u3059\u308b\u3053\u3068\u306f\u306a\u3044\u3067\u3059\u3057\u3001\u753b\u9762\u30aa\u30d5\u304c\u8a8d\u3081\u3089\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u7cbe\u795e\u7684\u306a\u8ca0\u62c5\u306f\u304b\u306a\u308a\u5c11\u306a\u3044\u304b\u3068\u601d\u308f\u308c\u307e\u3059\u3002<\/p>\n

\u307e\u305f\u3001\u30df\u30b7\u30ac\u30f3\u5927\u5b66\u306eZ O\u00a0O\u00a0M\u306e\u6a5f\u80fd\u306e\uff11\u3064\u3068\u3057\u3066\u3001\u300c\u30c8\u30e9\u30f3\u30b9\u30b9\u30af\u30ea\u30d7\u30c8\u300d\u3068\u3044\u3046\u6a5f\u80fd\u304c\u3042\u308a\u3001\u5148\u751f\u304c\u8a00\u3063\u305f\u8a00\u8449\u3092\u77ac\u6642\u306b\u305d\u306e\u5834\u306b\u8868\u793a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3082\u3057\u308f\u304b\u3089\u306a\u3044\u8a00\u8449\u304c\u3042\u308c\u3070\u3001\u305d\u306e\u5834\u3067\u3001\u7ffb\u8a33\u30bd\u30d5\u30c8\u306a\u3069\u306b\u304b\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u3066\u3001\u975e\u5e38\u306b\u4fbf\u5229\u3067\u3057\u305f\u3002\u79c1\u306f\u53d7\u8b1b\u3057\u3066\u304b\u3089\uff12\u9031\u9593\u307b\u3069\u5f8c\u306b\u3001\u3053\u306e\u6a5f\u80fd\u306b\u3064\u3044\u3066\u77e5\u3063\u305f\u305f\u3081\u3001\u3082\u3063\u3068\u65e9\u304f\u77e5\u3063\u3066\u304a\u304d\u305f\u304b\u3063\u305f\u3068\u601d\u3044\u307e\u3057\u305f\u3002<\/p>\n

\u4e00\u756a\u826f\u304b\u3063\u305f\u3068\u601d\u3046\u3053\u3068\u306f\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u6388\u696d\u3067\u3042\u308a\u3001\u304b\u3064\u305d\u306e\u9332\u753b\u304c\u8b1b\u7fa9\u671f\u9593\u4e2d\u305a\u3063\u3068\u914d\u4fe1\u3055\u308c\u308b\u305f\u3081\u3001\u3044\u3064\u3067\u3082\u3001\u3069\u3053\u3067\u3082\u3001\u6388\u696d\u3092\u53d7\u8b1b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u305f\u3053\u3068\u3067\u3059\u3002\u30b3\u30fc\u30b9\u7d42\u4e86\u5f8c\u3082\u3001\u7d04\uff12\u9031\u9593\u307b\u3069\u306f\u9332\u753b\u3092\u898b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u6642\u5dee\u304c\u5927\u5909\u304b\u3068\u601d\u3044\u307e\u3059\u304c\u3001\u9811\u5f35\u3063\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

 <\/p>\n

\u6881\u3000\u51f1\u6dc7\uff08LEUNG, Hoi-ki\uff09<\/h3>\n

\u6240\u5c5e\u30fb\u5b66\u5e74\uff1a<\/strong>\u653f\u6cbb\u5b66\u7814\u7a76\u79d1 \u4fee\u58eb\uff11\u5e74
\n\u7814\u7a76\u5206\u91ce\uff1a<\/strong>\u6bd4\u8f03\u653f\u6cbb\u5b66
\n\u53d7\u8b1b\u30b3\u30fc\u30b9\uff1a<\/strong>Race, Ethnicity, and Quantitative Methodology I<\/p>\n

\"\"This course provided students with an overview of the major theories and empirical approaches to the study of intergroup attitudes. It has also devoted considerable amount of time in methodologies employed in the study of intergroup attitudes. Since most of the debates on race and ethnicity revolve around measurement, the content focused on different methods in scaling and dimensional analyses, and their applications in the corresponding literature. Each week the lecturers began with a theoretical discussion, then continued with methodological lectures and occasionally involved some guest speakers on relevant topics.<\/p>\n

Via joining this course, it has enhanced my understanding on the theory and measurement of ethnicity and race. By asking questions to lecturers directly and getting assignment feedbacks from TA, I have also learnt more about my interested subjects and attained some improvement in my current research work on survey design and IRB preparation. They are friendly, respectful to students from different backgrounds. Although it is hard to connect with other students online on zoom lectures, it is still a nice experience to be in the same class with them who are from different racial backgrounds of Black, Latino, Asian, White and indigenous groups.<\/p>\n

Advice for future students: the course focused more on US-context theoretically and empirically with a generalized framework on race and ethnicity and discussion of literature mainly in the US, so if you are not working on US-related topics, this course may not be the best choice for you.\u00a0Instructors\u00a0welcome questions from students, so bring your own research problems to the course would be the best way to learn from it. They also put the lecture videos available online 14 days after the lecture, so you may also revise the content again if you want to.<\/p>\n

 <\/p>\n

\u30ef\u30f3\u3000\u30b6\u30fc\u30df\u30f3\uff08WANG,\u00a0Zeming\uff09<\/h3>\n

\u6240\u5c5e\u30fb\u5b66\u5e74\uff1a<\/strong>\u7d4c\u6e08\u5b66\u7814\u7a76\u79d1 \u4fee\u58eb\uff12\u5e74
\n\u7814\u7a76\u5206\u91ce\uff1a<\/strong>\u56fd\u969b\u8cbf\u6613
\n\u53d7\u8b1b\u30b3\u30fc\u30b9\uff1a<\/strong>Machine Learning:\u00a0Applications in Social Science Research<\/p>\n

\"\"<\/p>\n

A growing number of social scientists are taking advantage of machine learning methods to uncover hidden structure in their data, improve model predictive power, and gain a better understanding of complex relationships between variables. This class covers the mechanics underlying machine learning methods and discusses how these techniques can be leveraged by social scientists to gain new insight from their data. Specifically, it covers both supervised and unsupervised methods: decision trees, random forests, boosting, support vector machines, neural networks, deep and adversarial learning, ensemble learning, principal components analysis, factor analysis, and manifold learning\/ multidimensional scaling. In this course, we also discuss best practices in fitting and interpreting these models, including cross-validation techniques, bootstrapping, and presenting output. The most interesting part is that the workshop demonstrates how models can be estimated in R.<\/p>\n

When I prepared for the CFA examination last year, I learned some basic knowledge about machine learning, but it is not enough for me to know the theory only, I should know how to use it. And this class offers me a great chance of deepening my understanding of machine learning method in the context of code or R. As the development of AI, in the future, maybe some jobs would be replaced by robots. On one hand, people should master some skills that is irreplaceable. On the other hand, people should learn how to create and use AI. For this purpose, learning programming language and machine learning will be a small step. In the United States, there are four famous universities in the field of computer science: MIT, Sandford, UCB and Carnegie Mellon University. After graduating from WASEDA, I plan to work in a financial company for three to five years and try to obtain an offer of computer science in one of the four universities in America. I think this second master degree will help me switch my direction and walk further in the field of finance. I really appreciate our school, offering us such a valuable opportunity of participating in the summer school in U-Michigan and learning what I need for my future plan.<\/p>\n

And now I am writing my master thesis on international trade, more specifically, the paper is about the trade war and the best tariff. It is a theoretical paper, but I need to use real world data to verify my model, and it is obvious that this course offers me a new sight of uncovering the relationship of data.<\/p>\n

If someone is interested in Machine Learning or R, I strongly recommend this course.<\/p>\n","protected":false},"excerpt":{"rendered":"

\u793e\u4f1a\u79d1\u5b66\u306b\u95a2\u3059\u308b\u4e16\u754c\u6700\u5927\u306e\u8abf\u67fb\u30c7\u30fc\u30bf\u30a2\u30fc\u30ab\u30a4\u30d6\u3092\u4fdd\u6709\u3059\u308bICPSR (Inter-university Consortium for Political and Social Research) \u306f\u3001\u672c\u90e8\u306e\u3042\u308b\u30df\u30b7\u30ac\u30f3\u5927 […]<\/p>\n","protected":false},"author":3,"featured_media":8871,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[110,98],"class_list":["post-10588","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-through-2023","tag-report","tag-eape"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/posts\/10588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/comments?post=10588"}],"version-history":[{"count":2,"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/posts\/10588\/revisions"}],"predecessor-version":[{"id":10713,"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/posts\/10588\/revisions\/10713"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/media\/8871"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/media?parent=10588"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/categories?post=10588"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/sgu\/wp-json\/wp\/v2\/tags?post=10588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}