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KNOW4DRR ws_polimi_bolzano_2013_introduction

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  • 1. Enabling knowledge for disaster risk reduction in integration to climate change adaptation Bolzano-Bozen December 2013 Scira Menoni – Politecnico di Milano, Italy
  • 2. A debate has started regarding the use of knowledge in “risk governance”: how “available” knowledge is used, how it is shared/not shared, applied/not applied, considered/not considered by a variety of actors with responsibilities in prevention, mitigation and adaptation. Including the “civil society”. One of the first milestone the article by Gilbert White et al., 2001: “Knowing better and losing even more: the use of knowledge in hazard management”. The Know4drr project: the initial proposal
  • 3. WP6:Management WP3: Developing a knowledge management framework for DRR . Setting the base of system structuring the knowledge developed within the project. WP2 Mapping knowledge and information flows through the coordination activity among stakeholders of different social groups WP1 Knowldege developed, shared, applied and forgotten by: the private and the public sectors, scientists and the “civil society” WP4: Monitoring the development and implementation of relevant EU policies for DRR (and possibly intervening in the arena) WP5 Dissemination: how to create links with the world outside the project. Different tools and metods to be used in order to connect with ongoing initiatives
  • 4. Know4drr is an action aimed at coordinating existing research, yet for us it is important toa chieve a tangible result Scientifically interesting and useful (in our field is there so much difference between theoretical, applied, new research?) A basis for future research; identification of key topics and issues that deserve to be put forward (the idea of a knowledge management system framework)
  • 5. WP1 First outputs have been produced: a deliverable aimed at setting the knoweldge basement and the functional requirements for our own team-work and a deliverable based on different case studies to analyse barriers and potential bridges among different societal groups in knowledge sharing, (co-)production, enactment …. Decision making process Implementation Whose knowledge: Scientists, citizens, decision makers, policy makers….
  • 6. WP1 You will see those results summarized in posters that are providing an idea of the type of analysis that has been carried out. The excellent proposal to present the results transversally, according to the different perspectives that have been developed regarding the private sector, scientists, the public sector, and the civil society allowed to represent at best the type of work that has been done insofar.
  • 7. WP1 A small “library” of the project has been created, based on the five readings each partner believes to be the most relevant in the field we are working on (Knowledge on DRR integrated to CCA). Partner Number Title  of  publication J.Weichselga rtner 1  Cash,  D.W.,  Clark,  W.C.,  Alcock,  F.,  Dickson,  N.M.,  Eckley,  N.,  Guston,   D.H.,  Jäger,  J.  &  Mitchell,  R.B.  (2003):  Knowledge  systems  for   sustainable  development.  PNAS  (100):  8086-­‐8091. J.Weichselga rtner 2 Jasanoff,  S.  (2004):  States  of  knowledge:  The  co-­‐production  of  science   and  social  order.  London,  Routledge. POLIMI 3 Ginzburg  C.  Morelli,  Freud  and  Scherlock  Holmes:  Clues  and  Scientific   Method       http://www.clas.ufl.edu/users/burt/GinzburgMorelliFreudHolmes.pdf   POLIMI 4  Davenport  T.H.,  Prusak  L.  2000.  Working  Knowledge:  How  Organizations   Manage  What  they  Know.   http://wang.ist.psu.edu/course/05/IST597/papers/Davenport_know.pd f J.Weichselga rtner 5 Hessels,  L.K.  &  van  Lente,  H.  (2008).  Re-­‐thinking  new  knowledge   production:  A  literature  review  and  a  research  agenda.  Research  Policy   (37):  740-­‐760. CIESAS  and   ADELPHI 6 WHITE,  G.F.,  KATES,  R.W.,  BURTON,  I.  Knowing  better  and  losing  even   more:  the  use  of  knowledge  in  hazard  management.  Global   Environmental  Change  Part  B:  Environmental  Hazards  3  (3–4),  81–92.   2001. PLUS  and   ADELPHI 7 Weichselgartner,  J.,  and  Kasperson,  R.  (2010):  Barriers  in  the  science-­‐ policy-­‐practice  interface:  toward  a  knowledge-­‐action-­‐system  in  global   environmental  change  research.  Global  Environmental  Change,  20,  266-­‐ 277.
  • 8. WP1 We have to give the same space to gaps and barriers as to bridges and positive aspects of knowledge enactment. Perhaps we should go much beyond “good” or “best” practices, those are too static, whereas we need practices that are evolving with needs, new legislation, new requirments, emerging problems.
  • 9. WP2 Mapping knowledge and information flows through the coordination activity among stakeholders of different social groups. This is the current effort we are carrying out. In this workshop we aim at analysing together such knowledge flows, even in the simulation provided by the game, providing an opportunity to “test” knowledge and information flows in a given scenario.
  • 10. WP1 and WP2 The departure of the project was a definition of Zeleny, according to whom knowledge is such if it can be enacted, if it becomes “visible” through the action of, in our case, preventing in certain ways or reducing the potential impact of natural hazards and their consequences. This implies that knowledge brings to certain decisions which in their turn must be somehow implemented. Coherently, knowledge is put at the intersection of decision making and implementation of risk mitigation measures Knowedge developedby different scientific communities Knowledge developedbythe   private  sector in   different domains Knwledge of the   public  sectordealing with DRR  and  CC   adaptation Local peoples’   knowledge regarding DR  and  CC,   adaptation and   mitigation measures Bridgingamongexpertsin   differentdisciplines(includingCC   and  DR);  bridgingbetween scientistsand  practitioners Knwledge of the   public  sectorin   complementary domains Creating a  program with a  radio  (and  with a  social  media?)  to disseminate  both the  projet results and  to create  an opportunity forlarger participation in  the  implementation of DRR  inditative Coordination activities of the   project Knowledgesharing and   maintenanceacross groups Knowledgesharing inside   groups Knowledges thatwewishto address
  • 11. WP1 and WP2 Perhaps an effort going throughout the entire project: what do we mean by knowledge, information, data, and ... wisdom. In particular Jennex suggests that while data and information are clearly the bricks of knowledge, you need knowledge to search for the right data and information, to be able to select in the noise the relevant information.
  • 12. WP5 Dissemination: how to create links with the world outside the project. Different tools and metods to be used in order to connect with ongoing initiatives. We are going to develop an input paper for the GAR 15
  • 13. WP5 Disseminatio n: how to create links with the world outside the project. Trying to develop a rich wesite, with several growing links with many others with which actual co- work is programmed or ongoing http://www.know4drr.polimi.it/
  • 14. 1.  Workshop among “scientists” (+ others): main topic: uncertainty 2. Workshop: network of networks 3. Workshop: vertical and horizontal itegration goverments (+ others) 4. 1 Seminar Greece (crisis) 5. 1 seminar Mexico (international cooperation) 6. 1 Seminar Spain (courts) WP5 and others… All events that are part of the coordination activities. Each event is prepared by research work aimed at achieving specific results from the events
  • 15. WP5 and others… A way to reach a wider audience: working with TiconUno, to develop videos for a webTV and an important national Italian radio (radio 24)
  • 16. WP5 and others… A way to reach a wider audience: working with TiconUno, to develop videos for a webTV and an important national Italian radio (radio 24)
  • 17. WP3 Developing a knowledge management framework for DRR . Setting the base of system structuring the knowledge developed within the project. It is therefore a meta-object, structuring knowledge on knowledge (regarding DRR and CC mitigation, adaptation and prevention measures) Structured content Unstructured content Example “Data which can be stored int tables”. I.e. historical measurements of a specific parameter “Data which cannot be stored into tables”. I.e. maps, texts, procedures and regulations, etc. Technology to store data Relational DBMS (Oracle, MS SQL Server, MySQL, …) - Repository - Indexing technologies - NoSQL DBMS (Alfresco, Box, CouchDB, …) Technology to extract data SQL queries and languages supporting structured queries Meta-search engines, SQL-like queries, tagging engines. Support to unstructured queries (Google Search Appliance, Vivisimo, etc.) Cost of management and extraction of information If the contents to be recorded are structures, The process of recording is simple. If the contents are unstructured and need to be transformed and reorganized, the process is long and expensive The process of recording content is simple in any case.
  • 18. WP3 According to these assumptions, in KNOW-4-DRR we aim to define: -  a selection of the knowledge bases currently available on the Web that can be considered relevant for the project (e.g., PreventionWeb) - a model for classifying the knowledge offers that overcome the limitation of the keyword-based tagging - a model for defining the knowledge needs that can be usable for the emergency operators - a matchmaking algorithm able to compare the needs and the offers and to filter the relevant knowledge for a given need. Knowledge)) Base) (meta0info)) Knowledge)in) the)Web) classifica9on) Ins9tu9onal) sites) Social)) Media) Other) sources) Knowledge) retrieval) Retrieve)links) Knowledge)usage) Knoweldge) user) Knoweldge) provider) Publish)) docs)&)tools)
  • 19. WP3 The living labs of the project: in the DOW, potentially new ones to be included. A living lab is a real life case where project partners can actually interact with several other stakeholders, also with the aim of introducing innovation in the way knowledge is shared, co- produced, used…Originally the living labs have been conceived as occasions to enact knowledge for risk reduction and prevention..however recent events have “forced” some of the partners to be more involved also in post- disaster efforts in an actual cooperation and integration with different stakeholders…
  • 20. WP3 The living labs of the project: in the DOW, potentially new ones to be included. A living lab is a real life case where project partners can actually interact with several other stakeholders, also with the aim of introducing innovation in the way knowledge is shared, co-produced, used…Originally the living labs have been conceived as occasions to enact knowledge for risk reduction and prevention..however recent events have “forced” some of the partners to be more involved also in post- disaster efforts in an actual cooperation and integration with different stakeholders…
  • 21. In the future As we will hear from Patricia Longstaff whom we invited to give an introductive speech to our workshop, managing risks in a way to respond to multiple demands, facing multiple constraints, in a globablizing world, is a sort of “mission impossible”…
  • 22. In the future However we are determined to face the challenge and try to develop the knowledge management framework as we have imagined while setting WP3. What form will it take? Could we interact with existing frameworks such as Preventionweb? Is it just a structure of a search engine or is it much more? Knowledge)) Base) (meta0info)) Knowledge)in) the)Web) classifica9on) Ins9tu9onal) sites) Social)) Media) Other) sources) Knowledge) retrieval) Retrieve)links) Knowledge)usage) Knoweldge) user) Knoweldge) provider) Publish)) docs)&)tools)
  • 23. In the future One way to answer those questions is to consider real life scenarios: - Case studies of the project; - Living labs; - Interactive workshops providing the opportunity to scientists, decision makers, representatives of the public, and the private sector, of the media ..to share and exchange knowledge and understanding on risks through traditional and less traditional tools, such as games…