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Development of a Framework for Statistical Causal Analysis Using Crowdsourcing

Research Project

Project/Area Number 15K12148
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Web informatics, Service informatics
Research InstitutionHokkaido University

Principal Investigator

Oyama Satoshi  北海道大学, 情報科学研究科, 准教授 (30346100)

Research Collaborator SONG Jing  
Project Period (FY) 2015-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywordsクラウドソーシング / オープンデータ / 因果分析 / 人工知能
Outline of Final Research Achievements

In this research, we investigated fundamental technologies to analyze open data using the ability of many people by crowdsourcing. In particular, we focused on the task of analyzing causality but not correlation and developed a framework for analyzing open data in an exploratory manner. Human knowledge was incorporated by crowdsourcing to discover candidate variables that can affect causality. The elemental technologies and the framework were evaluated using the open data of the World Bank and the Japanese government.

Academic Significance and Societal Importance of the Research Achievements

企業や官公庁の公開するオープンデータを活用して,社会的な意思決定やビジネス上の決定を行うことが今後ますます重要になってくると考えられる.その際に,相関関係と因果関係を区別することは重要であるが,そこには人間の背景知識の利用が不可欠である.本研究は,インターネット上で不特定多数に仕事を依頼できるクラウドソーシングを用いて,多くの人々の知識を活用して因果分析を行うフレームワークを提案しており,オープンデータ活用への一助になることが期待できる.

Report

(5 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • 2015 Research-status Report
  • Research Products

    (11 results)

All 2019 2018 2017 2016 2015

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Open Access: 2 results,  Acknowledgement Compliant: 1 results) Presentation (8 results) (of which Int'l Joint Research: 6 results) Book (1 results)

  • [Journal Article] Tell Cause from Effect: Models and Evaluation2017

    • Author(s)
      Jing Song, Satoshi Oyama, Masahito Kurihara
    • Journal Title

      International Journal of Data Science and Analytics

      Volume: 4 Issue: 2 Pages: 99-112

    • DOI

      10.1007/s41060-017-0063-0

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Crowdsourcing Chart Digitizer: Task Design and Quality Control for Making Legacy Open Data Machine-Readable2016

    • Author(s)
      Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima
    • Journal Title

      International Journal of Data Science and Analytics

      Volume: 2 Issue: 1-2 Pages: 45-60

    • DOI

      10.1007/s41060-016-0025-y

    • NAID

      120006366497

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Presentation] Identification of Possible Common Causes by Intrinsic Dimension Estimation2019

    • Author(s)
      Jing Song, Satoshi Oyama, Masahito Kurihara
    • Organizer
      2019 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Framework for Crowd-based Causal Analysis of Open Data2018

    • Author(s)
      Jing Song, Satoshi Oyama, Masahito Kurihara
    • Organizer
      2018 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Application of Intrinsic Dimension Estimation in Confounder Identification2017

    • Author(s)
      Jing Song, Satoshi Oyama, Masahito Kurihara
    • Organizer
      情報処理北海道シンポジウム2017
    • Related Report
      2017 Research-status Report
  • [Presentation] Evaluation of Causal Discovery Models in Bivariate Case Using Real World Data2016

    • Author(s)
      Jing Song, Satoshi Oyama, Haruhiko Sato, Masahito Kurihara
    • Organizer
      2016 IAENG International Conference on Data Mining and Applications (ICDMA 2016)
    • Place of Presentation
      Hong Kong
    • Year and Date
      2016-03-16
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] Making Legacy Open Data Machine Readable by Crowdsourcing2015

    • Author(s)
      Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima
    • Organizer
      Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2015)
    • Place of Presentation
      San Diego, CA, USA
    • Year and Date
      2015-11-08
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] From One Star to Three Stars: Upgrading Legacy Open Data Using Crowdsourcing2015

    • Author(s)
      Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima
    • Organizer
      2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015)
    • Place of Presentation
      Paris, France
    • Year and Date
      2015-10-19
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] Is the Direction with Biggest Covariance Partial to the Cause?2015

    • Author(s)
      Jing Song, Satoshi Oyama, Haruhiko Sato, Masahito Kurihara
    • Organizer
      情報処理北海道シンポジウム2015
    • Place of Presentation
      北海道江別市 北海道情報大学
    • Year and Date
      2015-10-03
    • Related Report
      2015 Research-status Report
  • [Presentation] Crowdsourcing for Big Data Analytics (Tutorial)2015

    • Author(s)
      Hisashi Kashima, Satoshi Oyama, Yukino Baba
    • Organizer
      19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015)
    • Place of Presentation
      Ho Chi Minh City, Viet Nam
    • Year and Date
      2015-05-19
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Book] ヒューマンコンピュテーションとクラウドソーシング2016

    • Author(s)
      鹿島 久嗣, 小山 聡, 馬場 雪乃
    • Total Pages
      117
    • Publisher
      講談社
    • Related Report
      2015 Research-status Report

URL: 

Published: 2015-04-16   Modified: 2020-03-30  

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