This document discusses the role of scientists in disaster risk reduction and climate change adaptation. It addresses how scientists can experience fragmentation of knowledge due to increased specialization and interdisciplinarity. While interdisciplinary research is a powerful tool, it can be complex to implement. The document also discusses gaps, barriers and bridges related to different phases of the disaster cycle and different types of hazards. Barriers include issues with data availability and quality, a lack of shared risk culture, and failure to consider local knowledge. Bridges include new technologies improving early warning systems and increased collaboration between scientists and other stakeholders.
12 sept2013 imd network orchestration martha g russellMartha Russell
Presentation to the eMBA delegation of IMD on September 12, 2013 at Stanford University. Martha G Russell, Executive Director mediaX at Stanford University & Tony Lai, StartX.
From Open Data to Open Science, by Geoffrey BoultonLEARN Project
1st LEARN Workshop. Embedding Research Data as part of the research cycle. 29 Jan 2016. Presentation by Geoffrey Boulton, University of Edinburgh & CODATA
An overview of how fundamental and use-inspired research and innovation are related. A presentation I made at the American Control Conference workshop on this topic.
Trustworthy Computational Science: A Multi-decade PerspectiveVon Welch
Trust is critical to the process of science. Two decades ago the Internet and World Wide Web fostered a new age in computational science with the emergence of accessible and high performance computing, storage, software, and networking. More recent paradigms, including virtual organizations, federated identity, big data, and global-scale operations continue to evolve the way computing for science is performed.
Advancing technologies, the need to coordinate across organizations and nations, and an evolving threat landscape are sources of ongoing challenges in maintaining the trustworthy nature of computational infrastructure and the science it supports. To address these challenges, a number of projects have focused on improving the cybersecurity and trustworthiness of scientific computing. Recent examples include the Center for Trustworthy Scientific Cyberinfrastructure funded by NSF, the Software Assurance Marketplace funded by DHS, and the Extreme Scale Identity Management for Science project funded by DOE.
This presentation will give a 20 year retrospective together with a vision for the future of cybersecurity for computational science. It will describe the state of trust and cybersecurity for scientific computing, its evolution over the past twenty years, challenges it is facing today, how the exemplar projects are addressing those challenges, and a vision of cybersecurity for research and higher education in general augmenting each other in the future.
UNIVERSITE - INDUSTRIE: POTENTIELS ET LIMITES DE DIVERS MODES D’INNOVATION Jean-Jacques Degroof
Presentation made at the launch of the Grenoble Innovac program aiming at stimulating innovation in the Grenoble region collaboratively among universities, government research centres, large and small companies.
“Open Research Data: Implications for Science and Society”, Warsaw, Poland, May 28–29, 2015, conference organized by the Open Science Platform — an initiative of the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw. pon.edu.pl @OpenSciPlatform #ORD2015
Watching the workers: researching information behaviours in, and for, workplacesHazel Hall
Keynote presentation on researching information behaviours in workplaces delivered at Association for Information Science and Technology (ASIST) Annual Symposium on Information Needs Seeking and Use 2016.
Full citation:
Hall, H. (2016). Watching the workers: researching information behaviours in, and for, workplace environments. Opening keynote presented at Information behavior in workplaces: Association for Information Science and Technology (ASIST) Annual Symposium on Information Needs Seeking and Use 2016, Copenhagen, Denmark, 15 October 2016.
Current Disruptions in Media: Earthquakes or New Openings? Stanford as CatalystMartha Russell
Across the globe, new word-of-mouth messaging methods are emerging. Many of these involve new technologies. The strategic use of media has become a game changer for both local and global businesses. Traditional media platforms are outpaced by the speed of flash movements as they unfold. Technical discoveries outpace the scientific journals available to announce them. Journalists, entertainers, academics, scientists, and citizens are experimenting with new tools and platforms for content creation, consumption and curation.
When the news about Tahir Square, or Occupy Wall Street or, more recently the Brazilian protests, hit the headlines of newspapers and magazines, they were already outdated. Documentaries were equally incapable of tracking and fully describing these movements. Traditional narratives – and the technologies used to tell them - fall short of accurately portraying the ideas and behaviors that are emerging through new modes of communication. Information travels so fast, that news is no longer "new". Ubiquitous media disintermediates traditional business ecosystems. And every company must take on roles of a media company.
The world of digital content is experiencing an explosion of innovation in both creation and consumption of media. It may well have been consumer applications that ignited the transformation, but business, enterprise and government interests have joined the party. Across the entire innovation ecosystem of media, new technologies and new uses of it by people are creating a sea change in the way people participate and in the responses they expect, Streaming coverage, both amateur and professional – both business and community, is powered by cutting edge technology in combinations of smartphones, 4G, drone cameras and, even, Google Glass can report on events and movements, products and services. The new role of the Chief Digital Officer has emerged in many organizations - to help management bridge the changing roles usually played by Chief Information Officers, Chief Marketing Officers, and Chief Technology Officers.
Labs affiliated with mediaX at Stanford University study how people and information technology interact. We invite discovery collaborations on the future of content for business, education, and entertainment.
Measuring reliability and validity in human coding and machine classificationStuart Shulman
Slides delivered as a part of #CAQDAS14.
In 1989 the Department of Sociology at the University of Surrey convened the world's first conference on qualitative software, which brought together qualitative methodologists and software developers who debated the pros and cons of the use of technology for qualitative data analysis. The result was a book (Fielding & Lee (1991) Using Computers in Qualitative Research, Sage Publications), the setting-up of the CAQDAS Networking Project and many other conferences concerning the topics over the years.
This conference will be another opportunity for methodologists, developers and researchers to come together and debate the issues.There will be keynote papers by leading experts in the field, software support clinics and opportunities to present work in progress.
http://www.surrey.ac.uk/sociology/files/Programme%20.pdf
12 sept2013 imd network orchestration martha g russellMartha Russell
Presentation to the eMBA delegation of IMD on September 12, 2013 at Stanford University. Martha G Russell, Executive Director mediaX at Stanford University & Tony Lai, StartX.
From Open Data to Open Science, by Geoffrey BoultonLEARN Project
1st LEARN Workshop. Embedding Research Data as part of the research cycle. 29 Jan 2016. Presentation by Geoffrey Boulton, University of Edinburgh & CODATA
An overview of how fundamental and use-inspired research and innovation are related. A presentation I made at the American Control Conference workshop on this topic.
Trustworthy Computational Science: A Multi-decade PerspectiveVon Welch
Trust is critical to the process of science. Two decades ago the Internet and World Wide Web fostered a new age in computational science with the emergence of accessible and high performance computing, storage, software, and networking. More recent paradigms, including virtual organizations, federated identity, big data, and global-scale operations continue to evolve the way computing for science is performed.
Advancing technologies, the need to coordinate across organizations and nations, and an evolving threat landscape are sources of ongoing challenges in maintaining the trustworthy nature of computational infrastructure and the science it supports. To address these challenges, a number of projects have focused on improving the cybersecurity and trustworthiness of scientific computing. Recent examples include the Center for Trustworthy Scientific Cyberinfrastructure funded by NSF, the Software Assurance Marketplace funded by DHS, and the Extreme Scale Identity Management for Science project funded by DOE.
This presentation will give a 20 year retrospective together with a vision for the future of cybersecurity for computational science. It will describe the state of trust and cybersecurity for scientific computing, its evolution over the past twenty years, challenges it is facing today, how the exemplar projects are addressing those challenges, and a vision of cybersecurity for research and higher education in general augmenting each other in the future.
UNIVERSITE - INDUSTRIE: POTENTIELS ET LIMITES DE DIVERS MODES D’INNOVATION Jean-Jacques Degroof
Presentation made at the launch of the Grenoble Innovac program aiming at stimulating innovation in the Grenoble region collaboratively among universities, government research centres, large and small companies.
“Open Research Data: Implications for Science and Society”, Warsaw, Poland, May 28–29, 2015, conference organized by the Open Science Platform — an initiative of the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw. pon.edu.pl @OpenSciPlatform #ORD2015
Watching the workers: researching information behaviours in, and for, workplacesHazel Hall
Keynote presentation on researching information behaviours in workplaces delivered at Association for Information Science and Technology (ASIST) Annual Symposium on Information Needs Seeking and Use 2016.
Full citation:
Hall, H. (2016). Watching the workers: researching information behaviours in, and for, workplace environments. Opening keynote presented at Information behavior in workplaces: Association for Information Science and Technology (ASIST) Annual Symposium on Information Needs Seeking and Use 2016, Copenhagen, Denmark, 15 October 2016.
Current Disruptions in Media: Earthquakes or New Openings? Stanford as CatalystMartha Russell
Across the globe, new word-of-mouth messaging methods are emerging. Many of these involve new technologies. The strategic use of media has become a game changer for both local and global businesses. Traditional media platforms are outpaced by the speed of flash movements as they unfold. Technical discoveries outpace the scientific journals available to announce them. Journalists, entertainers, academics, scientists, and citizens are experimenting with new tools and platforms for content creation, consumption and curation.
When the news about Tahir Square, or Occupy Wall Street or, more recently the Brazilian protests, hit the headlines of newspapers and magazines, they were already outdated. Documentaries were equally incapable of tracking and fully describing these movements. Traditional narratives – and the technologies used to tell them - fall short of accurately portraying the ideas and behaviors that are emerging through new modes of communication. Information travels so fast, that news is no longer "new". Ubiquitous media disintermediates traditional business ecosystems. And every company must take on roles of a media company.
The world of digital content is experiencing an explosion of innovation in both creation and consumption of media. It may well have been consumer applications that ignited the transformation, but business, enterprise and government interests have joined the party. Across the entire innovation ecosystem of media, new technologies and new uses of it by people are creating a sea change in the way people participate and in the responses they expect, Streaming coverage, both amateur and professional – both business and community, is powered by cutting edge technology in combinations of smartphones, 4G, drone cameras and, even, Google Glass can report on events and movements, products and services. The new role of the Chief Digital Officer has emerged in many organizations - to help management bridge the changing roles usually played by Chief Information Officers, Chief Marketing Officers, and Chief Technology Officers.
Labs affiliated with mediaX at Stanford University study how people and information technology interact. We invite discovery collaborations on the future of content for business, education, and entertainment.
Measuring reliability and validity in human coding and machine classificationStuart Shulman
Slides delivered as a part of #CAQDAS14.
In 1989 the Department of Sociology at the University of Surrey convened the world's first conference on qualitative software, which brought together qualitative methodologists and software developers who debated the pros and cons of the use of technology for qualitative data analysis. The result was a book (Fielding & Lee (1991) Using Computers in Qualitative Research, Sage Publications), the setting-up of the CAQDAS Networking Project and many other conferences concerning the topics over the years.
This conference will be another opportunity for methodologists, developers and researchers to come together and debate the issues.There will be keynote papers by leading experts in the field, software support clinics and opportunities to present work in progress.
http://www.surrey.ac.uk/sociology/files/Programme%20.pdf
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Willie Nelson is a name that resonates within the world of music and entertainment. Known for his unique voice, and masterful guitar skills. and an extraordinary career spanning several decades. Nelson has become a legend in the country music scene. But, his influence extends far beyond the realm of music. with ventures in acting, writing, activism, and business. This comprehensive article delves into Willie Nelson net worth. exploring the various facets of his career that have contributed to his large fortune.
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Introduction
Willie Nelson net worth is a testament to his enduring influence and success in many fields. Born on April 29, 1933, in Abbott, Texas. Nelson's journey from a humble beginning to becoming one of the most iconic figures in American music is nothing short of inspirational. His net worth, which estimated to be around $25 million as of 2024. reflects a career that is as diverse as it is prolific.
Early Life and Musical Beginnings
Humble Origins
Willie Hugh Nelson was born during the Great Depression. a time of significant economic hardship in the United States. Raised by his grandparents. Nelson found solace and inspiration in music from an early age. His grandmother taught him to play the guitar. setting the stage for what would become an illustrious career.
First Steps in Music
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Rise to Stardom
Breakthrough Albums
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Iconic Songs
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Television Appearances
Nelson's char
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Know4 drr poster_ws_bolzano_scientists_csic
1. THE SCIENTISTSTHE SCIENTISTSTHE SCIENTISTSTHE SCIENTISTSTHE SCIENTISTSTHE SCIENTISTS
María José Jiménez Mariano García FernándezMaría José Jiménez, Mariano García Fernández
CSICCSIC
Institute of Geosciences (CSIC UCM) Madrid SpainInstitute of Geosciences (CSIC-UCM), Madrid, Spain
mj.jimenez@csic.es, mariano.garcia@csic.es
1 I d i1 I d i1. Introduction1. Introduction 3. Scientists & Fragmentation of Knowledge3. Scientists & Fragmentation of Knowledge3. Scientists & Fragmentation of Knowledge3. Scientists & Fragmentation of Knowledge
SCIENTISTSSCIENTISTSSCIENTISTSSCIENTISTS
SCIENTISTSSCIENTISTSDATA, INFORMATION , KNOWLEDGE SCIENTISTSSCIENTISTS
SCIENTIFIC & TECHNICAL ASPECTS
WHO?WHO?STRATEGY FRAMEWORKS for DRRDRR in integration toin integration to CCACCA
WHO?WHO?
ff ff
STRATEGY FRAMEWORKS for DRRDRR in integration toin integration to CCACCA
Those capable of deliveringThose capable of delivering scientificscientific and technical data,and technical data,gg
information, andinformation, and knowledgeknowledge
13 CASE STUDIES13 CASE STUDIES KNOWLEDGEKNOWLEDGE
information, andinformation, and knowledgeknowledge
13 CASE STUDIES13 CASE STUDIES
DIFFERENT TEMPORAL & SPATIAL SCALES
KNOWLEDGEKNOWLEDGE
GAPS BARRIERS BRIDGESGAPS BARRIERS BRIDGES 1 2DIFFERENT TEMPORAL & SPATIAL SCALES
SUDDEN ONSET & CREEPING EVENTS
GAPS, BARRIERS, BRIDGESGAPS, BARRIERS, BRIDGES
i li l f ti lf ti l t t lt t l
1 2SUDDEN ONSET & CREEPING EVENTS
5 HYDROMETEREOLOGICAL EVENTS
(socialsocial,, functionalfunctional,, structuralstructural )
PHASES f DISASTER CYCLEPHASES f DISASTER CYCLE
EXPERTS & TECHNICAL STAFFEXPERTS & TECHNICAL STAFF PRACTICIONERSPRACTICIONERS5 HYDROMETEREOLOGICAL EVENTS PHASES of DISASTER CYCLEPHASES of DISASTER CYCLE
BBodies in Public Sectorodies in Public Sector
PRACTICIONERSPRACTICIONERS
Private SectorPrivate SectorBBodies in Public Sectorodies in Public Sector Private SectorPrivate Sector
2 Role of Scientists in DRR and CCA2 Role of Scientists in DRR and CCA 32. Role of Scientists in DRR and CCA2. Role of Scientists in DRR and CCA 3
RESEARCH SCIENTISTSRESEARCH SCIENTISTS
Universities or Research Centres (Public or Private)
INTERDISCIPLINARITYINTERDISCIPLINARITY
Universities or Research Centres (Public or Private)
&INCREASINGINCREASING INCREASINGINCREASING
INTERDISCIPLINARITYINTERDISCIPLINARITY &
C lt i f P i t S tSPECIALISATIONSPECIALISATION FRAGMENTATIONFRAGMENTATION
powerful tool Consultancies for Private SectorFRAGMENTATIONFRAGMENTATION
addressing most complex issues;
COMPLEX PRACTICAL IMPLEMENTATIONCOMPLEX PRACTICAL IMPLEMENTATIONCOMPLEX PRACTICAL IMPLEMENTATIONCOMPLEX PRACTICAL IMPLEMENTATION
Barriers on collectively thinkingDRR and CCADRR and CCA DisciplinesDisciplines NOT NECESSARILYNOT NECESSARILY make different groupsmake different groupsBarriers on collectively thinkingDRR and CCADRR and CCA
‘SYSTEM PROBLEMS‘SYSTEM PROBLEMS
DisciplinesDisciplines NOT NECESSARILYNOT NECESSARILY make different groupsmake different groups
SYSTEM PROBLEMSSYSTEM PROBLEMS
l i t ti
FRAGMENTATION DISTINCT ISSUESFRAGMENTATION DISTINCT ISSUEScomplex interacting processes
FRAGMENTATION DISTINCT ISSUESFRAGMENTATION DISTINCT ISSUESdifferent temporal and spatial scales EFFECTIVEEFFECTIVE
expertise from natural and social sciences
INTERDISCIPLINARY RESEARCHINTERDISCIPLINARY RESEARCH
INTERDISCIPLINARY RESEARCHINTERDISCIPLINARY RESEARCH
INTERDISCIPLINARY RESEARCHINTERDISCIPLINARY RESEARCH
DETAILED PRELIMINARY ORGANISATIONDETAILED PRELIMINARY ORGANISATIONINTERDISCIPLINARY RESEARCHINTERDISCIPLINARY RESEARCH DETAILED PRELIMINARY ORGANISATIONDETAILED PRELIMINARY ORGANISATION
problem formulation, data analysis and interpretation
simulation modelling, and sensitivity analysis
SCIENTIFIC CONSENSUSSCIENTIFIC CONSENSUS POTENTIAL LEGAL LIABILITY of SCIENTISTSPOTENTIAL LEGAL LIABILITY of SCIENTISTSSCIENTIFIC CONSENSUSSCIENTIFIC CONSENSUS
LLack of understanding/awarenessack of understanding/awareness whowho offer adviceoffer advice
d d id d i
shouldshould not be a main argumentnot be a main argument
and recommend actions to governments.and recommend actions to governments.asas a basis fora basis for actionaction
ASSESMENT OF UNCERTAINTYASSESMENT OF UNCERTAINTY
&°reedegree of truth of scientificof truth of scientific knowledgeknowledge &&credibility of the information/knowledgecredibility of the information/knowledgegg gg y gy g
Prevention and mitigation Prevention and mitigation Recovery and reconstruction Recovery and reconstruction
i l ti t t t d th b ti f th i ff t d i t Th i lK l d
i l ti t t t d th b ti f th i ff t d i t Th i lK l d
in relation to extreme events and the exacerbation of their effects and impacts. Their low Knowledge gap
probability and frequency might cause a functional bias
in relation to extreme events and the exacerbation of their effects and impacts. Their low Knowledge gap
probability and frequency might cause a functional bias
More bridges than barriers: The event acting as a catalyst. More bridges than barriers: The event acting as a catalyst.
probability and frequency might cause a functional biasprobability and frequency might cause a functional bias
recently established for knowledge sharing among scientists and those interacting withFunctional bridges
recently established for knowledge sharing among scientists and those interacting withFunctional bridges
Mostly . The event prioritising actions on e.g.: functional bridgesMostly . The event prioritising actions on e.g.: functional bridges
recently established for knowledge sharing among scientists and those interacting with Functional bridges
the public sector, including joint work for improvement of procedures
recently established for knowledge sharing among scientists and those interacting with Functional bridges
the public sector, including joint work for improvement of procedures need for changes in existing approaches regarding need for changes in existing approaches regarding the public sector, including joint work for improvement of procedures
the public sector, including joint work for improvement of procedures
o data, methods and communication o data, methods and communication
Common barrier on data: Common barrier on data: o interdisciplinary work to avoid fragmentation o interdisciplinary work to avoid fragmentation
Availability (if existing or if scattered) Availability (if existing or if scattered) o interlinks and joint development programmes among different stakeholders o interlinks and joint development programmes among different stakeholders
Quality and resolution Quality and resolution allocation of funds to dedicated programmes on risk management allocation of funds to dedicated programmes on risk management
Lack of resources to get better quality/higher resolution within the established temporal/financial
f k
Lack of resources to get better quality/higher resolution within the established temporal/financial
f k
triggering volunteering to work on establishing inter‐stakeholder partnerships triggering volunteering to work on establishing inter‐stakeholder partnerships
isis
frameworks frameworks
l l d i i i i i h h i lS i l b id
l l d i i i i i h h i lS i l b id
ysys
related to the development of research on vulnerability mitigation and riskFunctional barriers
related to the development of research on vulnerability mitigation and riskFunctional barriers
local administrators – scientists, with the event acting as a catalyst Social bridge local administrators – scientists, with the event acting as a catalyst Social bridge
alyaly
related to the development of research on vulnerability, mitigation and risk Functional barriers
communication:
related to the development of research on vulnerability, mitigation and risk Functional barriers
communication:
M i l i l ti t d i i t ti dt t l b i
M i l i l ti t d i i t ti dt t l b i
nana
communication:
scientists’ advice was not taken into account
communication:
scientists’ advice was not taken into account
Mainly in relation to administrative procedures: structural barriers
L k f i l t ti f lt f d di t d t di
Mainly in relation to administrative procedures: structural barriers
L k f i l t ti f lt f d di t d t di
AnAn
scientists advice was not taken into account
available information only partly useful
scientists advice was not taken into account
available information only partly useful
Lack of implementation of results of dedicated studies
L d l th d ti f th i f ti
Lack of implementation of results of dedicated studies
L d l th d ti f th i f ti
eAeA
available information only partly useful
lack of a shared risk culture
available information only partly useful
lack of a shared risk culture
Long delays on the production of the information
St iti t l l l l t f ll ib d i l di fi i l ti
Long delays on the production of the information
St iti t l l l l t f ll ib d i l di fi i l ti
hehe
lack or failures in communicating the relevant information in a usable way lack or failures in communicating the relevant information in a usable way
Strong opposition at local level to follow prescribed measures including financial compensations. Strong opposition at local level to follow prescribed measures including financial compensations.
fthfth
g y
main interest by local stakeholders limited to hazard issues
g y
main interest by local stakeholders limited to hazard issues
d t il bilit l d d if i ti t ll hi h b i t d ithK l d
d t il bilit l d d if i ti t ll hi h b i t d ithK l d
ofof
y
y
on data availability on losses and damage if existing at all, which can be associated with Knowledge gap
functional issues caused by little attention to these aspects in past events
on data availability on losses and damage if existing at all, which can be associated with Knowledge gap
functional issues caused by little attention to these aspects in past events
yoyo
causing: Social barriers causing: Social barriers functional issues caused by little attention to these aspects in past events. functional issues caused by little attention to these aspects in past events.
aryary
Local indigenous knowledge not considered useful by local scientists Local indigenous knowledge not considered useful by local scientists
GAPSGAPS
mama
Scientific data not accepted by local actors Scientific data not accepted by local actors
GAPSGAPS
mmmm
GAPSGAPS
umum
Preparedness, planning and warning Preparedness, planning and warning
BARRIERS & BRIDGESBARRIERS & BRIDGES
SuSu
F i h d ( SLR) h ib i f i i i i i h i h EU li i
F i h d ( SLR) h ib i f i i i i i h i h EU li i BARRIERS & BRIDGESBARRIERS & BRIDGES
SS
For creeping hazards (e.g. SLR) the contribution of scientists in raising awareness together with EU policies
t th h i f k l d ithi l b id ll ( i ti t ’f ti l t
For creeping hazards (e.g. SLR) the contribution of scientists in raising awareness together with EU policies
t th h i f k l d ithi l b id ll ( i ti t ’f ti l t
BARRIERS & BRIDGESBARRIERS & BRIDGES
4.4.
represents a on the sharing of knowledge with a social bridge as well (scientists’ scope functional aspect
and priorities in their research)
represents a on the sharing of knowledge with a social bridge as well (scientists’ scope functional aspect
and priorities in their research)and priorities in their research). and priorities in their research).
Period after reconstructionPeriod after reconstruction
For sudden‐onset hazards early warning due to insufficient capacities and equipmentstructural barriers
For sudden‐onset hazards early warning due to insufficient capacities and equipmentstructural barriers
Period after reconstruction Period after reconstruction
For sudden onset hazards, early warning due to insufficient capacities and equipment structural barriers
to transfer precise information well in advance. Often a consequence of laws and regulations.
For sudden onset hazards, early warning due to insufficient capacities and equipment structural barriers
to transfer precise information well in advance. Often a consequence of laws and regulations.
Main bridges and on recent advances in new ICT providing improvements in:functional structural
Main bridges and on recent advances in new ICT providing improvements in:functional structuralto transfer precise information well in advance. Often a consequence of laws and regulations.
to transfer precise information well in advance. Often a consequence of laws and regulations.
Main bridges and on recent advances in new ICT providing improvements in: functional structural
Quantity and quality of the data
Main bridges and on recent advances in new ICT providing improvements in: functional structural
Quantity and quality of the data
For creeping hazards on: functional barriersFor creeping hazards on: functional barriers
Quantity and quality of the data
Diffusion of the information
Quantity and quality of the data
Diffusion of the information
Transfer of knowledge and information on well‐known vulnerabilities Transfer of knowledge and information on well‐known vulnerabilities
Diffusion of the information
Establishment of programmes to increase knowledge and awareness on vulnerability and safe
Diffusion of the information
Establishment of programmes to increase knowledge and awareness on vulnerability and safe
Prediction and warning links to systematic observations are mainly scientific oriented Prediction and warning links to systematic observations are mainly scientific oriented
Establishment of programmes to increase knowledge and awareness on vulnerability and safe
construction
Establishment of programmes to increase knowledge and awareness on vulnerability and safe
constructionconstruction construction
Response Response
l l b f h h
l l b f h h
on general background knowledge in society, as well as biases to mostly hazard‐Functional barriers
on general background knowledge in society, as well as biases to mostly hazard‐Functional barriers
Very little or even no contributions of scientists in the response phase Very little or even no contributions of scientists in the response phase
on general background knowledge in society, as well as biases to mostly hazardFunctional barriers
oriented work
on general background knowledge in society, as well as biases to mostly hazardFunctional barriers
oriented work
Not referred knowledge shared systems that would allow real time updates to deliver improved
Not referred knowledge shared systems that would allow real time updates to deliver improved
oriented work oriented work
Not referred knowledge shared systems that would allow real‐time updates to deliver improved
information for quick decisions during response from traditional approaches where no fastFunctional bias
Not referred knowledge shared systems that would allow real‐time updates to deliver improved
information for quick decisions during response from traditional approaches where no fastFunctional bias
when a lack of transfer of the acquired knowledge on risk to the local levels occurs Social barriers
when a lack of transfer of the acquired knowledge on risk to the local levels occurs Social barriersinformation for quick decisions during response. from traditional approaches where no fast Functional bias
observational techniques were available (e g (satellites Internet)
information for quick decisions during response. from traditional approaches where no fast Functional bias
observational techniques were available (e g (satellites Internet)
q g
(administration and local stakeholders)
q g
(administration and local stakeholders) observational techniques were available (e.g. (satellites, Internet). observational techniques were available (e.g. (satellites, Internet). ( )( )