1. Knowledge and non-knowledge management Phase IV Implementation and (non)-knowledge management Step 27 © Pierre Ibisch 2013

2. Credits and conditions of use 27. Knowledge and non-knowledge management2 You are free to share this presentation and adapt it for your use under the following conditions: You must attribute the work in the manner specified by the authors (but not in any way that suggests that they endorse you or your use of the work). You may not use this work for commercial purposes. If you alter, transform, or build upon this work, you must remove the Centre for Econics and Ecosystem Management logo, and you may distribute the resulting work only under the same or similar conditions to this one. © Centre for Econics and Ecosystem Management, 2014 The Centre for Econics and Ecosystem Management strongly recommends that this presentation is given by experts familiar with the adaptive management process in general (especially as designed as the Conservation Measures Partnership’s Open Standards for the Practice of Conservation) as well as the MARISCO Method itself. This material was created under the leadership and responsibility of Prof. Dr. Pierre Ibisch and Dr. Peter Hobson, co- directors of the Centre for Econics and Ecosystem Management, which was jointly established by Eberswalde University for Sustainable Development and Writtle College. Compare: Ibisch, P.L. & P.R. Hobson (eds.) (2014): The MARISCO method: Adaptive MAnagement of vulnerability and RISk at COnservation sites. A guidebook for risk-robust, adaptive, and ecosystem-based conservation of biodiversity. Centre for Econics and Ecosystem Management, Eberswalde (ISBN 978-3-00-043244-6). 195 pp. - The Powerpoint Presentation was conceived by Jamie Call, Christina Lehmann and Pierre Ibisch. Authors of graphs and photographs are indicated on the corresponding slides. Supported by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH on behalf of the Bundesministerium für wirtschaftliche Zusammenarbeit und Entwicklung (BMZ).

3. 27. Knowledge and non-knowledge management3

4. Learning objectives Participants have the knowledge and are able to explain that the management of knowledge and (non)-knowledge is a crucial task providing the basis for developing a learning and adaptable institution. Furthermore they are able to draw the line to an array of topics related to knowledge and (non)-knowledge management like meta-information, relevance of unknowns and proactive knowledge management to scan for future risks. 27. Knowledge and non-knowledge management4

5. ? Outline What is knowledge and non-knowledge? Why do we assess (non)-knowledge? How do we manage (non)-knowledge? Practical Tips 27. Knowledge and non-knowledge management5

6. ? What is knowledge and non-knowledge? In the context of MARISCO, knowledge is the abundance of information available or knowable about the management area → Including details on how information was generated: Who ga- thered it? What were their methods? When was it collected? etc. Non-knowledge is everything that conservation site managers could, should or would wish to know about the area but do not or cannot know Especially relevant form of non-knowledge is that of unforeseen potential risks or threats → Including knowledge relevant stakeholders do not have or refuse to acquire 27. Knowledge and non-knowledge management6

7. ? Why do we assess (non)- knowledge? Assessment of knowledge and non-knowledge = crucial task providing basis for developing a learning and adaptable institution During implementation of strategic portfolio, regularly mapping non-knowledge can help to finesse the strategic model and improve the structure of research portfolios 27. Knowledge and non-knowledge management7 Did we meet our goals? No? Why not? Did we miss something? What did we miss?       

8. ? How do we manage (non)- knowledge? 1. Collect available information from members of managing entity, relevant stakeholders and scientific literature 2. Develop adequate infrastructure from which knowledge can be easily accessed, stored, used, adapted and further developed → Maintain meta-information (details on how information was gathered) 3. Identify problems which arise due to lack of knowledge and address them through educational strategies 4. Integrate ‘horizon-scanning’ into monitoring strategy Constantly search for and classify potential/real future risks 27. Knowledge and non-knowledge management8

9. ? 2. Highly recommended that the organizations employ someone to take care of (non)-knowledge management 27. Knowledge and non-knowledge management9 How do we manage (non)- knowledge? 1. Manage non- knowledge by asking what is unknown about the managed system and why it is unknown Try to categorize this non-knowledge:

10. ? Practical Tips 27. Knowledge and non-knowledge management10