Doctoral Institute for Evidence Based Policy, Inc.

The Doctoral Institute for Evidence Based Policy, Inc. (Japanese: 株式会社政策基礎研究所, commonly abbreviated EBP) is a private think tank headquartered in Taito, Tokyo, Japan. It was established in October 2010 and is led by representative director Yukinobu Ichida. The firm describes itself as a think tank of doctoral-level researchers whose mission is to contribute to society through analysis that forms the basis of Evidence Based Policy (EBP). A distinctive feature is that the majority of its members hold doctoral degrees, and the institute emphasizes discovering policy problems from the perspective of everyday life rather than from academic disciplines or administrative departments alone. EBP's core business is commissioned research and analysis for public-sector clients, principally Japanese government ministries and agencies, local municipalities, universities and other public bodies. Its project record spans the Ministry of Health, Labour and Welfare (health, welfare, long-term care insurance, child-rearing support, data health plans), the Ministry of Agriculture, Forestry and Fisheries (rural infrastructure evaluation, agricultural economics, ecosystem-consideration facilities), the Ministry of Economy, Trade and Industry (Asian industrial human-resource development, including Myanmar), the Ministry of the Environment (cadmium and arsenic health impact surveys, green banking research), the Ministry of Land, Infrastructure, Transport and Tourism, and research funders such as NICT and the National Institutes for Quantum and Radiological Science and Technology. It also works with universities and local governments on survey design, data cleaning, statistical analysis and benchmarking systems. Beyond survey research, EBP offers system development and data-science services. Its stated research methods include AI and machine learning for processing large datasets, web-based questionnaire systems, GIS consulting and tool development (including its "Instant Atlas" offering), and statistical analysis from data collection through programming. Documented AI/ML work includes development of machine-learning programs for delirium risk assessment for the National Cancer Center Japan (2022–2023) and implementation support for stratified AI applicable to ultra-high-dimensional data for the National Institutes of Biomedical Innovation, Health and Nutrition (2021). The institute also has an international dimension. It maintains a Yangon office in Myanmar and provides interpretation, translation, support for hiring local Myanmar staff, internet-based survey work, and assistance to Japanese companies entering the Myanmar market; its website also states that it operates in India. Its field pages list agriculture, forestry and fisheries; environment, bio and chemical substances; medical and welfare; and overseas business as research domains. EBP is a private company rather than a listed corporation. Its leadership team includes representative director Yukinobu Ichida, directors Masaki Okuda and Atsushi Sannabe, CTO Raymond Wu, and a bench of partner, senior and visiting researchers and fellows. The firm also runs seminars and training events, such as an introductory AI course aimed at applying AI in administration, business and daily life.

The Doctoral Institute for Evidence Based Policy, Inc. (株式会社政策基礎研究所) was established in October 2010 in Japan. It was founded as a think tank whose purpose is to contribute to society through analysis that underpins Evidence Based Policy, and it is characterized by a membership in which the majority hold doctoral degrees. The institute is headquartered in Taito, Tokyo, and its representative is Yukinobu Ichida. According to Japanese Wikipedia, the company has approximately 300 employees. From its early years the institute built a portfolio of commissioned research for Japanese public institutions. Its project record includes work for the Ministry of Health, Labour and Welfare from at least 2011, covering topics such as provision systems for visiting services, estimation of willingness to pay for privatized services, international comparison of childcare professions, and development of parent support programs. It also worked extensively with local governments on data health plans, long-term care insurance business plans, health promotion plans and suicide prevention measures, and with universities on survey data handling, data cleaning and statistical analysis, including support for the JAGES national survey and the construction of dementia tracking databases. In agriculture and rural policy, the institute conducted evaluations of agricultural and rural development projects, studies on the economic effects of farmland consolidation, analysis of the roles of agriculture and rural areas, and data work for the Ministry of Agriculture, Forestry and Fisheries. In the environmental field it carried out health impact surveys related to cadmium and arsenic pollution, soil environment information analysis, and research on green banking overseas for the Ministry of the Environment. It also undertook work related to the Ministry of Land, Infrastructure, Transport and Tourism on national land policy research information. Internationally, the institute developed a Myanmar practice. It conducted studies for the Ministry of Economy, Trade and Industry on industrial human-resource development in Myanmar in 2011 and 2012, and later established a Yangon office. Its Myanmar services include interpretation and translation, support for hiring local Myanmar staff, internet-based questionnaire surveys, and assistance to Japanese companies entering the Myanmar market. It also worked on Myanmar-language corpora for the National Institute of Information and Communications Technology (NICT). Its website states that it operates in Myanmar and India. Over time the institute expanded into data science and system development. Its stated methods include AI and machine learning for large datasets, web questionnaire systems, GIS consulting and tool development under the Instant Atlas name, and statistical analysis. Documented AI/ML projects include the development of machine-learning programs for delirium risk assessment for the National Cancer Center Japan in 2022–2023, using 15 different machine-learning algorithms, hyperparameter tuning with tools such as Optuna, and migration of the learning environment using Docker; and implementation support for the development of stratified AI applicable to ultra-high-dimensional data for the National Institutes of Biomedical Innovation, Health and Nutrition in 2021, aimed at searching for superior drug-discovery targets using multi-omics data. The institute also runs seminars and training events, including an online introductory AI course held in August–September 2021 aimed at helping participants apply AI in administration, business and daily life. Its leadership team includes representative director Yukinobu Ichida, directors Masaki Okuda and Atsushi Sannabe, CTO Raymond Wu, partner and chief researcher Yuri Wada, chief researcher Yoshiharu Shimizu, Yangon office director WAI HIN HLAING, deputy chief researchers Ayaka Ito and Erika Kumakura, visiting researcher Sheik M. Sahabudeen, deputy engineer Waka Kobayashi, senior fellows Iwao Tanizawa, Yuki Amamoto and Michiko Takita Dowling, and fellows Albert Yokobayashi and Arata Sakiyama.

• 2022

  Began development of machine-learning programs for delirium risk assessment for the National Cancer Center Japan (2022–2023).

• 2021

  Provided implementation support for the development of stratified AI applicable to ultra-high-dimensional data for the National Institutes of Biomedical Innovation, Health and Nutrition.

• 2021

  Held an online introductory AI course in August–September 2021.

• 2012

  Conducted a Ministry of Economy, Trade and Industry study on industrial human-resource development in Myanmar.

• 2011

  Conducted a Ministry of Economy, Trade and Industry study on the formation of an industrial human-resource development network in Myanmar.

• 2010

  Institute established in October 2010 in Japan.

A doctoral-level, evidence-based policy think tank serving Japanese government ministries, municipalities and universities, combining social-science research with AI, machine learning and GIS capabilities.

• Machine learning programs for delirium risk assessment

  Two machine learning algorithms developed for the National Cancer Center Japan (2022–2023) to predict delirium risk using structured data such as vital signs, using 15 different machine learning algorithms, hyperparameter tuning with Optuna, and Docker-based environment migration.

• Stratified AI for ultra-high-dimensional data

  Implementation support for the National Institutes of Biomedical Innovation, Health and Nutrition (2021), researching AI algorithms including subset binding using multi-omics data to search for superior drug-discovery targets.

• Instant Atlas

  GIS-based consulting and tool development offering for visualizing and benchmarking regional data.

• Web questionnaire systems

  Internet-based survey systems used to conduct questionnaire research for public and private clients.

• Web system development and design services

  Web system development, design visualization production, and web accessibility support services.

1. 1『私共はEBP（科学的根拠に基づく政策）のための研究により社会に貢献します』｜EBP｜株式会社政策基礎研究所doctoral.co.jp
2. 2English｜EBP｜株式会社政策基礎研究所doctoral.co.jp
3. 3Doctoral Institute for Evidence Based Policy, Inc. - Wikidatawikidata.org
4. 4政策基礎研究所 - Wikipediaja.wikipedia.org