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Open Data Promotion Consortium Lecture at the General Meeting Jun. 13 (Thu.), 2013. For the 2nd Year of the Open Data Promotion Consortium Open Innovation by Knowledge Structuring. Hiroshi Komiyama. President, Open Data Promotion Consortium

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Open Data Promotion Consortium Lecture at the General Meeting

Jun. 13 (Thu.), 2013

For the 2nd Year of the Open Data Promotion Consortium

Open Innovation by Knowledge Structuring

Hiroshi Komiyama

President, Open Data Promotion Consortium

Chairman of the Institute, Mitsubishi Research Institute, Inc.

President, Platinum Society Network

President Emeritus of the University of Tokyo

This document is a provisional translation by Open Data Promotion Consortium

agenda
Agenda
  • Opening
  • Cases with High Probability of Innovation
    • Health & Medical Care
    • Primary Industry
    • Environment
    • RegenerableEnergy
  • Realization of Ideas and Structuralization of Results
    • Center of Innovation (COI) by the MEXT
    • Review of Verification Experiment Results and
    • Knowledge Structuring
  • Summary
1 opening
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.
2 cases with high probability of innovation
2. Cases with High Probability of Innovation
  • Health & Medical Care
  • Primary Industry
  • Environment
  • RegenerableEnergy
2 b smart agriculture in the netherlands
2-B)Smart Agriculture in the Netherlands

Everything is administered by PC.

Photo : MRI

Photo : MRI

Fully-Automatic Control of Temperature and Fertilizer Application

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

Photo : MRI

2 c forecast utilizing environment data
2-C)Forecast Utilizing Environment Data

Research Institute for Applied Mechanics,

Kyushu University

The aqicn.info team

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

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

3 PM, Jun.13, 2013

Little

Much

Nagoya Univ. : CHASER Data (Simulation Data of Chemical Material Distribution in

Troposphere)

NASA Goddard Space Flight Center : Aerosol Emission Data

NOAA, 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)

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

2 d location diagnosis of solar power stations
2-D) Location Diagnosis of Solar Power Stations
  • International Space Apps Challenge
  • HackathonEvent by NASA (utilizing the NASA-owned data)
  • Cloudless Spots for Solar Power Generation
  • (a.k.a. Where to Put Solar Panels?)

Greater Sunshine over the Pacific Coast Area

  • 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.

Profitability Forecast Graph

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

2 d location diagnosis of solar power stations1
2-D) Location Diagnosis of Solar Power Stations
  • Provision 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.

Sourcehttp://www.jwa.or.jp/content/view/full/1947/

3 realization of ideas and structuralization of results
3. Realization of Ideas and Structuralization of Results
  • Knowledge Structuring by Center of Innovation (COI)
  • Knowledge Structuring from Verification Experiment Results
a coi stream
3-A)COISTREAM

Overall Visionary Leader

COISTREAM Governing Committee

Reports and Proposals

Swift Coordination

COIStream

Structuring Team

Visionary Team

Visionary Team

  • Structuralization
  • Visualization
  • Collaboration Promotion among Bases
  • Open Innovation

Vision

Vision

Information Flow

Base D

Base E

Base B

Base C

Base A

Creation of Platform for Innovation

3 b open utilization of verification project results
3-B)Open Utilization of Verification Project Results

Verification Experiment Project of Ministry of A

Verification Experiment Project of Ministry of B

Verification Experiment A

Verification Experiment B

Verification Experiment X

・・・・・

Making Results Open

Data & Knowhow

Data & Knowhow

Data & Knowhow

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

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

4 summary
4. Summary

Making Data Open

Medical Care / Health / Nursing

Regenerable Energy

Primary Industry

Environment

Something naturally happens in every field.

Innovation thanks to Open Data