Knowledge Transfer In Multi-Organizational Networks: Influence Of Causal and Outcome Ambiguities

Jan 27, 2014

280 likes | 463 Views

Knowledge Transfer In Multi-Organizational Networks: Influence Of Causal and Outcome Ambiguities. SEDSI Jennifer Lewis Priestley, Assistant Professor of Applied Mathematics February 24, 2005. Presentation Outline. Inter-Organizational Knowledge Transfer

Share Presentation

Embed Code

Link

matthew

Download Presentation

Knowledge Transfer In Multi-Organizational Networks: Influence Of Causal and Outcome Ambiguities

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Routing in Multi-Radio, Multi-Hop Wireless Mesh Networks

Routing in Multi-Radio, Multi-Hop Wireless Mesh Networks. Richard Draves, Jitu Padhye, Brian Zill Microsoft Research. Self-Organizing Neighborhood Networks. Key Properties No network engineer Very little mobility Energy not a concern One challenge: network capacity

560 views • 17 slides

Knowledge Transfer at HKU

Knowledge Transfer at HKU. Prof John Bacon-Shone Johnbs@hku.hk. What is a university?. A university is a knowledge organization whose primary mandate is to generate, acquire and transfer knowledge These objectives are achieved through

493 views • 16 slides

Internet 3 Optimizing Optical Networks with Multi-Haul Networks

Internet 3 Optimizing Optical Networks with Multi-Haul Networks. December 7 th , 2006 Roy Bowcutt. Roy Bowcutt. Outline. Traditional WDM systems and real networks Technology applied in real networks Optimizing networks with multi-haul designs

466 views • 21 slides

Workshop on Causal/Influence Networks July 2009

Workshop on Causal/Influence Networks July 2009. C.A. Hooker PhD (physics), PhD (phil.) FAHA. Autonomy = I/MR synchrony. Autonomy is important. demarcation of living systems Organisation, global constraint (not order) is fundamental grounding for agency

281 views • 16 slides

Power and Influence

Power and Influence. Class 7 OBHR E-110. “All influential managers have power, but not all powerful managers have influence.” Linda Hill, “Exercising Influence”. Sources of Power. Position/Role Organizational Affiliation (school, company, industry) Relationships/Networks

544 views • 14 slides

KNOWLEDGE TRANSFER IN THE E-WORLD

KNOWLEDGE TRANSFER IN THE E-WORLD. Lecture Nine (Chapter 9, Notes; Chapter 10, Textbook). Knowledge Transfer & Sharing in E-World. Knowledge Sources. CORPORATE DATABASES. KNOWLEDGE BASE. Knowledge-based Applications. Intranet. KNOWLEDGE TRANSFER. Extranet. Services Provider.

1.12k views • 25 slides

Outcome Accountability: How Far Are We Willing to Go?

Outcome Accountability: How Far Are We Willing to Go?. George E. Mitchell City University of New York (CCNY). Outcome Accountability. When asked to define organizational effectiveness:

206 views • 9 slides

KNOWLEDGE TRANSFER PROGRAMME

CRITICAL AGENDA PROJECT KNOWLEDGE TRANSFER PROGRAMME – KTP MINISTRY OF HIGHER EDUCATION MALAYSIA. KNOWLEDGE TRANSFER PROGRAMME. to INDUSTRY & COMMUNITY. KTP GRANT SCHEME THIRD ROLLING PLAN (2013-2014) . Prepared By: Knowledge Transfer Programme Committee

819 views • 51 slides

3.6 Explain knowledge that underpins a …….. outcome

3.6 Explain knowledge that underpins a …….. outcome. 3.6 Explain knowledge that underpins a …….. outcome. . 90678 Bio tech 90680 Electronic and Control 90682 Food Tech 90684 ICT 90686 Materials 90688 Structures and Mechanisms. Steps.

659 views • 58 slides

Ambiguities & epistemology (ways to know and produce knowledge)

Ambiguities & epistemology (ways to know and produce knowledge). SM4134 Visual Ethnography & Creative Intervention September 21, 2007 Linda C.H. LAI. What matters with the term “documentary”?. Truth claims > method

224 views • 11 slides

Policy Transfer via Markov Logic Networks

Policy Transfer via Markov Logic Networks. Lisa Torrey and Jude Shavlik University of Wisconsin Madison WI, USA. Outline. Background Approaches for transfer in reinforcement learning Relational transfer with Markov Logic Networks Two new algorithms for MLN transfer. Outline.

542 views • 32 slides

Influence Maximization in Dynamic Social Networks

Influence Maximization in Dynamic Social Networks. Honglei Zhuang , Yihan Sun, Jie Tang, Jialin Zhang, Xiaoming Sun. Influence Maximization. Probability of influence. B. How to find influential users to help promote a new product?. A. 0.8. C. ?. 0.1. 0.5. 0.4. 0.6. 0.1. 0.6.

870 views • 21 slides

Using Social Networks for Learning New Concepts in Multi-Agent Systems

Using Social Networks for Learning New Concepts in Multi-Agent Systems. By: Shimaa El- Sherif Behrouz Far Armin Eberlein. Agenda. Distributed Knowledge Management (DKM) Multi-Agent System (MAS) Social Networks Measuring Tie Strengths System Architecture Concept Learning System

307 views • 17 slides

Knowledge Transfer Partnerships

Knowledge Transfer Partnerships. Name: Dr Rukmal Abeysekera Title: KTP Manager. ‘Europe’s most successful Knowledge Transfer Programme…’. KTP Mission.

449 views • 19 slides

Knowledge Transfer @CERN

Knowledge Transfer @CERN. Giovanni Anelli Head of Knowledge Transfer Group CERN. KT: one of CERN’s missions. CERN Mission. Push back the frontiers of knowledge in nuclear research Develop new technologies for accelerators and detectors Train scientists and engineers of tomorrow

478 views • 30 slides

Specific Learning Outcome:

Specific Learning Outcome: Demonstrate self-awareness, sensitivity to others, and skillfulness in relating to ethnically and culturally diverse individuals and families and with this knowledge, effectively communicate information to influence change. Lana MacKenzie

341 views • 25 slides

Causal Modelling Using Bayesian Networks

Causal Modelling Using Bayesian Networks. Outline. Methodology: Bayesian Networks Challenges for Useful Decision Support Trauma Models: Clinical Relevance Results. ATC Bayesian Network. NPT. Variable. Arc. BN v MESS Score. How the BN Model Differs.

427 views • 26 slides

Question

Causal Reasoning and Hindsight Bias Jennelle E. Yopchick ( yopchick.j@husky.neu.edu ) and Nancy S. Kim ( n.kim@neu.edu ) Northeastern University. build causal path. Prior Event. Prior Event. Prior Event. LR-C Statement. HR-NC Statement. Prior Event. Outcome. Outcome. Outcome.

120 views • 1 slides

Multi-Organizational Support for Blackboard at Brigham Young University

Multi-Organizational Support for Blackboard at BYU. Multi-Organizational Support for Blackboard at Brigham Young University Trav Johnson, Faculty Center Jon Mott, Center for Instructional Design Allyson Washburn, Harold B. Lee Library. 2004 Blackboard Users Conference, Phoenix, Arizona.

270 views • 14 slides

Airmanship Knowledge Learning Outcome 3 Part 5 Helicopters

Uncontrolled copy not subject to amendment. Airmanship Knowledge Learning Outcome 3 Part 5 Helicopters. Revision 1.00. Airmanship Knowledge Learning Outcome 3 Know the aircraft in service with the British Armed Forces. Helicopters Chinook HC2/2A Merlin HC3 Puma HC1 Griffin HAR2 / HT1

778 views • 58 slides

Knowledge Transfer Partnerships

Knowledge Transfer Partnerships. Tony Mitchell British Council. Partnership Structure. ‘Europe’s most successful Knowledge Transfer Programme…’. What is strategic KTP?. A collaborative project to implement business improvement. How does KTP Build STI Capacity?.

314 views • 13 slides

Using multiple sources of evidence to identify causal mechanisms and influence programs

Using multiple sources of evidence to identify causal mechanisms and influence programs. Jo Durham. Presentation overview. Methodological framework The evaluation The program Evaluation question Methods Evaluation results & influence Reflection on methodological framework.

463 views • 36 slides

More Related

Knowledge Transfer In Multi-Organizational Networks: Influence Of Causal and Outcome Ambiguities

Knowledge Transfer In Multi-Organizational Networks: Influence Of Causal and Outcome Ambiguities

Presentation Transcript

Routing in Multi-Radio, Multi-Hop Wireless Mesh Networks

Knowledge Transfer at HKU

Internet 3 Optimizing Optical Networks with Multi-Haul Networks

Workshop on Causal/Influence Networks July 2009

Power and Influence

KNOWLEDGE TRANSFER IN THE E-WORLD

Outcome Accountability: How Far Are We Willing to Go?

KNOWLEDGE TRANSFER PROGRAMME

3.6 Explain knowledge that underpins a …….. outcome

Ambiguities &amp; epistemology (ways to know and produce knowledge)

Policy Transfer via Markov Logic Networks

Influence Maximization in Dynamic Social Networks

Using Social Networks for Learning New Concepts in Multi-Agent Systems

Knowledge Transfer Partnerships

Knowledge Transfer @CERN

Specific Learning Outcome:

Causal Modelling Using Bayesian Networks

Question

Multi-Organizational Support for Blackboard at Brigham Young University

Airmanship Knowledge Learning Outcome 3 Part 5 Helicopters

Knowledge Transfer Partnerships

Using multiple sources of evidence to identify causal mechanisms and influence programs

Ambiguities & epistemology (ways to know and produce knowledge)