3-D geospatial data for disaster management and developmentKeiko Ono
Japan is a high income country at an advanced stage of epidemiological transition. One of its remaining public health challenges is response to natural disasters. This presentation explores the potential of 3-D geospatial data in disaster response and management.
A narrative review of NLP applications to political science
人工知能、機械学習の急速な発展とともに、そうした分析で利用できる「データ」の範囲が拡大しつつある。人が発話・作成した言葉を人工知能が読み解いて、翻訳・要約、さらには特徴・パターンを見つけるなど高度な分析をする「自然言語処理」はすでに多くの分野で実用化されている。この発表では政治学における自然言語処理を用いたこれまでの研究をレビューし、今後の可能性について検討する。Keywords: artificial intelligence, natural language processing (NLP), text mining, political science, data science
US presidential selection: the Electoral College challenged (again)Keiko Ono
Constitutional design for selecting the chief executive
Historical evolution since 1789
The Electoral College
How it works today
Implications and criticism
Alternatives
Reapportionment and post-2020 projections
3-D geospatial data for disaster management and developmentKeiko Ono
Japan is a high income country at an advanced stage of epidemiological transition. One of its remaining public health challenges is response to natural disasters. This presentation explores the potential of 3-D geospatial data in disaster response and management.
A narrative review of NLP applications to political science
人工知能、機械学習の急速な発展とともに、そうした分析で利用できる「データ」の範囲が拡大しつつある。人が発話・作成した言葉を人工知能が読み解いて、翻訳・要約、さらには特徴・パターンを見つけるなど高度な分析をする「自然言語処理」はすでに多くの分野で実用化されている。この発表では政治学における自然言語処理を用いたこれまでの研究をレビューし、今後の可能性について検討する。Keywords: artificial intelligence, natural language processing (NLP), text mining, political science, data science
US presidential selection: the Electoral College challenged (again)Keiko Ono
Constitutional design for selecting the chief executive
Historical evolution since 1789
The Electoral College
How it works today
Implications and criticism
Alternatives
Reapportionment and post-2020 projections
Googleフォームによるアンケート調査で、複数の選択肢を選ぶことが可能な質問のデータを処理する方法。Transforming multiple response categories into a series of dummy variables using Google Form + Excel.
Googleフォームによるアンケート調査で、複数の選択肢を選ぶことが可能な質問のデータを処理する方法。Transforming multiple response categories into a series of dummy variables using Google Form + Excel.
15. Visualizing Health Inequity and Progress toward
SDG targets
• “Global Burden of Disease”
• Originally a WHO project
• Brainchild of Christopher Murray (M.D.) and Alan
Lopez (epidemiologist)
• Now a part of the Institute for Health Metric and
Evaluation
Socio-demographic Index (SDI)
A summary measure that identifies where countries or other geographic areas sit on the spectrum of development. Expressed on a scale of 0 to 1, SDI is a composite average of the rankings of the incomes per capita, average educational attainment, and fertility rates of all areas in the GBD study.