schuichi iwata_the challenge of governance as reagards nanotechnology

The challenge of governance as regards nanotechnology

-nanotechnology through nuclear issues-

Ne3LS@Montreal 2012.11.2

Shuichi IWATA

Friday, November 2, 12

Question

• Q1:In the context of regulatory uncertainty regarding nanotechnologies, what are the responsibilities of the various actors?

• Q2:In the context of globalization, how can we harmonize the different approaches toward governance in different countries? Should this harmonization be done at an international level?

• Q3:How can we better link research and innovation in nanotechnology with the needs of society?

• Q4:What do you see in your crystal ball for the future of nanotechnology?


Question/Answer tentative• Q1:Responsibilities/collective responsibility linked with

individual care(fundamental human right from to know & knowing to decision) . The consuming public has been well trained and prudent enough for producers/companies to become sensitive for for their own sustainability. Traceability has been endorsed by leading edge sciences as well as Japanese intrinsic culture in general. 　Brand based on PL is essential.

• Q2:Harmonization/collective knowledge based on open and shared data prepared by experts with organized traceability.

• Q3:Linkage of nanotechnology and societal needs/battle royal with changing rules of game, if possible after their confirmation co-ordinated by government.

• Q4:Future of nanotechnology/a challenge beyond “statistics” and “abstract” to “tailored only for you”, which requires design.


How to deal with risks due to complexity and uncertainties

natural disasterhuman-made disaster

social disasterand their couplings


部分)国立科学博物館蔵


It is not easy for a landscape designer to predict cedar pollen allergy before.


#1 Agriculture 1,584 papers, 7.1 ages soil, crop, biodiversity USA, Netherlands, Australia

#2 Fisheries 1,419 papers, 5.5 ages fish catch, marine, ecosystem USA, Sweden, Canada

#3 Ecological Economics 1,135 papers, 5.5 ages natural capital accounting, ecological

footprint USA, Netherlands, Australia

#4 Forestry (Agroforestry) 614 papers, 6.3 ages nutrient, soil, nitrogen-fixation India, Brazil, Germany

#6 Business 450 papers, 5.5 ages competitive advantage, environmental performance South Africa, Brazil, USA

#7 Tourism 423 papers, 6.5 ages eco-tourism, coastal management England, USA, Scotland

#8 Water 361 papers, 5.5 ages water resource, waste water, water cycle China, Switzerland, Germany

#9 Forestry (Biodiversity) 353 papers, 5.4 ages ecosystem management Canada, USA, France

#10 Urban Planning 277 papers, 5.9 ages sustainable city, landscape planning, regulation England, USA, Scotland

#11 Rural Sociology 271 papers, 6.6 ages developing country, rural development, local knowledge USA, New Zealand, England

#12 Energy 229 papers, 4.9 ages hydrogen, biomass, photovoltaic England, Netherlands, USA

#13 Health 221 papers, 5.8 ages health program, community USA, Canada, Australia

#14 Soil 208 papers, 5.5 ages fertile soil, organic matter, cultivation Australia, USA, Brazil

#15 Wild Life 161 papers, 5.9 ages wildlife, hunting, forest mammals England, USA, Sweden

Network of Citations among Articles on Sustainability

from 29,391 papers (1970-2006, connected component = 9,973 papers)

# Rank, Cluster nameCluster size, Average years after publicationKeywords in the clusterCountry focusing the cluster

#5 Forestry (Tropical Rain Forest) 450 papers, 6.5 ages tropical forest, timber, harvest USA, England, Spain

Kajikawa, et al. (2007)

Prepared by M. Yarime


--patchworks of knowledge chunks based on culture but no theory to promote mainly

thanks to capacity building through education; governance is behind them-

Maintenance of ecology of sciences, technologies, standards, regulations and

governances of stakeholders-keeping diversities of sciences and cultures for

creativity and productivity

How to visualize the ecology⇒tacit knowledgeFriday, November 2, 12

TQC of well-structured data to go beyond

mere collections of papers and data

How to solve complexity and uncertainty issues


Culculated density: D


However almost all data are ill-structured

How to solve complexity and uncertainty issues

Nano* s are the case also!Friday, November 2, 12

Reliability on Radioactive Dose Data--too much confusion


16

We do not know about our Earth and ....

• Earth

• Plate

• Fault

• Earthquake

• Tsunami

• Artifacts

• Climate Change

• Society

WNFM 38th AM-2011(Seville)

AD 869


18

March 11, 2011(Fri)14:46 – Earthquake, TsunamiBy Tatsujiro Suzuki (The 3/11 Fukushima Nuclear Accident: What Happened and Lessons learned (so far)) May 2-4, 2011

➢ Occurred 14:46 March 11, 2011 ➢ Magnitude : 9.0 Mw

➢ Epicenter location : 38°6’’N and 142°51’’E, and 24km in depth➢ Victims : 15,202 Dead

8,718 Missing (as of May 25, 2011)


Just several seconds!

UrEDAS : Urgent　Earthquake　Detection　and　Alarm　System


Differences on effects

• Energy

• Air, Semiconductors, ...

• DNA/Cell/Organ/Body

• Insects....

• Soil/Lands/River/Mountains/Sea

• Humans & Societies


how to deal with DataIndividual cares

Data on humans

Data on living things

Radioactivity monitoring

Accident management

medical services if necessary tele-medicine

---->e-health(security, privacy)

digital check of accessible data along data life cycle

capacity building of “experts” to get data literacies rather than statistics just for basic sciences

data share and traceability

“another subject”

・・・・

・・・・


how to deal with DataIndividual cares

Data on humans

Data on living things

Radioactivity monitoring

Accident management

medical services if necessary tele-medicine

---->e-health(security, privacy)

digital check of accessible data along data life cycle

capacity building of “experts” to get data literacies rather than statistics just for basic sciences

data share and traceability

“another subject”

・・・・

・・・・

Users View

points


How to deal with ill-structured data!


Data on Fukushima• Environmental Monitoring Data/Low Dose (Rate) Risk

Data : epidemiological survey data, animal data /Patient Clinical Data(+stress/fear/evacuation/damage caused by rumors)

• Engineering Data(Design, Manufacturing, Operation, Maintenance, Failure/Accident, Decommition) with big diversities from sketch, log data, monitoring, ........, to simulation

• ................

To grasp the reality together & properly by using data journal!


Case Studies under Discussions

• Observatory data

• 100 Years of Geomagnetic Observations at KAKIOKA- Contributions to Centennial

Progress of Geophysics

• Health data and scientific data for health data evaluation

• food risks

• low dose effects on irradiation exposures

• Data of Fukushima Nuclear Reactor Accidents and associated facts

“Human : Well Beings”

“Collective Knowledge by Openness”

“TQC by time, space, energy, structure”


e.g. Semantic Web Layer Cake, 2007

tons of log data, image data, copied/pasted/duplicated data, processed data, PDF and

EXCEL files, .......

Digital FUKUSHIMA

DBpedia*


Diffusion of tacit knowledge is slow.

Next step is to strengthen our society by increasing rule makers rather than rule takers

based on reliable data.

Data democracy for emergence of our society!!!


Many ThanksArigatou

Gozaimasu


869 Jōgan Sanriku Earthquake (Sugawara no Michizane et.al.) >>Curse and Shrine1755 Lisbon earthquake >>Kant, Adam Smith, Voltaire, Rousseau (Enlightenment Thought)

1945 Hiroshima and Nagasaki >>the Cold War between the East and the West >>Imperative of Responsibility (1979 Hans Jonas)

1986 Chernobyl >>гласность and Dissolution of the Soviet Union

2001 9.11 New York >>Sustainability for Human Security/Fundamental Human Right........

2011 3.11 The 2011 off the Pacific coast of Tohoku Earthquake Fukushima Daiichi 33

1498


Vita Nova for Robust EngineeringObservation Science - earthquake/tsunami,biodiversity, climate change

Experimental Science -strategies and tactics with less experiments, without reliable measurements due to the station blackout ....

Theoretical Science -inverse approaches to bridge gaps of models so as to overcome “unexpected” or “locked-in” issues

Computational Science -correctness, semantics e.g., SPEEDI, severe core damage simulation codes...

Data Science -data quality, transfer models between different contexts,

Design Science -values, brand, trends, virtues, contexts for each individual, group, organization, stakeholder, nation, region, .... different design windows with physical-, engineering-, economical-, social-, cultural-, political- feasibility

Strategic & Tactical(Timely, Proper,....) Solutions 34


2007 20922050

! !! !!!

↑ ConsumptionProduction ↓

+ –

oil gas uranium

?!

years

Global Reduc7on of Natural Energy Resources

35Hermann Scheer – Energy is a driving force for our civilisa7on – SOLAR ADVOCATE, 2005Friday, November 2, 12

schuichi iwata_the challenge of governance as reagards nanotechnology

Documents

scotland423 papers

soil208 papers

ages353 papers

energybiodiversity229

health271 papers

ages221 papers

mere collections of

urban planning277 papers