open data promotion consortium lecture at the general meeting jun. 13 (thu.), 2013

Copyright © Dr. Hiroshi Komiyama 1

Open Data Promotion Consortium Lecture at the General Meeting

Jun. 13 (Thu.), 2013

Hiroshi Komiyama

President, Open Data Promotion ConsortiumChairman of the Institute, Mitsubishi Research Institute, Inc.

President, Platinum Society NetworkPresident Emeritus of the University of Tokyo

For the 2nd Year of the Open Data Promotion Consortium

Open Innovation by Knowledge Structuring

This document is a provisional translation by Open Data Promotion Consortium

Copyright © Dr. Hiroshi Komiyama

Agenda

1. Opening2. Cases with High Probability of Innovation

A) Health & Medical CareB) Primary IndustryC) EnvironmentD)Regenerable Energy

3. Realization of Ideas and Structuralization of ResultsA) Center of Innovation (COI) by the MEXTB) Review of Verification Experiment Results and Knowledge Structuring

4. Summary

2


1. Opening

• If data are open, resourceful people will

consider how to use them. Non-

Disclosure of Data is the Height of

Stupidity.

• Data Collection and Distribution is

Crucial.

• That is the Starting Point of Innovation.3


2. Cases with High Probability of Innovation

A) Health & Medical CareB)Primary IndustryC)EnvironmentD)Regenerable Energy

4


従来型医療

1

病因病気

治療

処方

症状身体生活情報、病歴環境・外形情報生理・内部情報遺伝子・神経情報等

腰痛、偏頭痛、心疾患アトピー、アレルギー依存症、健忘症、不眠症体調不良、精神不安定等

食育、体育、知育、森林浴海水浴、湯治、レクリエーション薬膳、投薬、標的治療ゲノム創薬、細胞治療等

ICTSmart Wellness

System

知の構造化による健康増進システムと新産業の創生

再生医療

食サービス

スポーツツーリズム

リラクゼーション装置・道具

予防医療PHRサービス

保険・金融

ボディケア

支援ロボット

薬品

健康住宅

ビークル・交通

エンターテイメント

エコマネー研究開発

教育育成

健康開発都市

産業振興

医療技術分野の先進ICT活用・センシング・電子的診断処理・ゲノム解析・遠隔カンファレンス

日常生活でのICT利用の浸透・脱PC（スマホ、タブレット、モバイル）・常に携行し、直感的操作・動画や絵による解り易さ・クラウド等の基盤普及・ソーシャルネット・大画面UIF・ワイヤレス・その他

ICT自体の革新的な進化・ものづくりと融合・M2M、O2O・アンビエント化・BigData解析

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2-A) Health Promotion System and Creation of New Industries by Knowledge Structuring


2-B)　 Smart Agriculture in the NetherlandsEverything is administered by

PC.

Fully-Automatic Control of Temperature and Fertilizer

Application

Physically Easy Work due to Work Vehicle in spite of Vast Space

6

Photo : MRI

Photo : MRI

Photo : MRI


2-C)　 Forecast Utilizing Environment DataResearch Institute for Applied Mechanics, Kyushu University

Nagoya Univ. : CHASER Data (Simulation Data of Chemical Material Distribution inTroposphere)NASA Goddard Space Flight Center : Aerosol Emission DataNOAA, National Institute for Environmental Studies : Utilized Open Data including GFS（ Global Forecast System）Model Forecast Data, etc.

Provision of Simulation Results based on the Combined Atmosphere-Ocean Model (MIROC)

The aqicn.info team

Utilized Open Observation Data from the US Embassy in Beijing; US Consulates in Shanghai, Guangzhou and Chengdu; the Environment Protection Center of Beijing City; the Ministry of Environmental Protection of China, etc.

Described in the Index of AQI regulated by the US Environment Protection Agency

Source:　 http://aqicn.org/city/beijing/

出典：　 http://sprintars.riam.kyushu-u.ac.jp/

7

3 PM, Jun.13, 2013

Little Much


2-D) Location Diagnosis of Solar Power StationsInternational Space Apps Challenge• Hackathon Event by NASA (utilizing the NASA-owned

data)

Cloudless Spots for Solar Power Generation (a.k.a. Where to Put Solar Panels?)• Collected Information of Clouds over

Japan for the Past 12 Years from the Earth Observation Satellite Data (MODIS)

• Described with Mapping of Fine Weather Rate by 0.01 Degree of L / L

• Sunshine Simulation was also added.

Greater Sunshine over the Pacific Coast Area

Source　http://spaceappschallenge.org/project/where-to-put-solar-panels-/

Profitability Forecast Graph

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2-D) Location Diagnosis of Solar Power StationsProvision of Standard Meteorological Data for Solar Power Generation (Japan Weather Association)• Data Map which plotted observation data (sunshine,

etc.) collected from AMeDAS Observation Spots (over 800 spots in Japan) and normal value etc. over the map, etc.

Source　http://www.jwa.or.jp/content/view/full/1947/

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3. Realization of Ideas and Structuralization of Results

A) Knowledge Structuring by Center of Innovation (COI)

B) Knowledge Structuring from Verification Experiment Results

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３ -A)　 COI　 STREAM

COI　 STREAM Governing Committee

Vision Visionary Team

Visionary Team

Vision

Base A

Base B

Base C

Base D

Base E

• Structuralizatio

n

• Visualization

• Collaboration

Promotion

among Bases• Open

Innovation

Information Flow

COI　 StreamStructuring Team

Overall Visionary Leader

Reports and Proposals

Swift Coordination

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Creation of Platform for Innovation


3-B)　 Open Utilization of Verification Project Results

Verifi

catio

n

Exp

erim

en

t A

Data & Knowhow

Makin

g R

esu

lts Op

en

Verification Experiment Project of Ministry of A Verification Experiment Project of Ministry of B

・・・・・

Making government offices’ verification experiment results open is crucially important!

Then, data users naturally take horizontal approach which leads to innovation and dissemination.

12

Verifi

catio

n

Exp

erim

en

t B Verifi

catio

n

Exp

erim

en

t X

Data & Knowhow

Data & Knowhow


4. SummaryMaking Data Open

Medical Care / Health / Nursing Primary

Industry Environment

Regenerable Energy

Something naturally happens in every field.

Innovation thanks to Open Data

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open data promotion consortium lecture at the general meeting jun. 13 (thu.), 2013

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