A presentation given at Arrow ECS Inspiration Day 7th of March 2014, Tallinn. The deck elaborates on why it is important to have information security built into your systems rather than tacked on later and offers some approaches to actually doing it.
A presentation given at Arrow ECS Inspiration Day 7th of March 2014, Tallinn. The deck elaborates on why it is important to have information security built into your systems rather than tacked on later and offers some approaches to actually doing it.
ELH School Tech 2013 - Computational ThinkingPaul Herring
To be good ‘Computational Thinkers’ and hence effective users of, and more importantly empowered creators with Digital Technologies, students need to be conversant and articulate with:
algorithms;
cryptography;
machine intelligence;
computational biology;
search;
recursion;
heuristics;
Entrepreneurial enabling, and
The use of Digital Technologies to develop and support Critical Thinking skills.
While schools have taught many of these areas in the past, opportunities are now being presented where schools can fully embrace those areas traditionally part of a Computer Science type course, but also introduce the fascinating new areas of endeavor such as cryptography and computational biology.
Coupled with the increasing enabling of application development and deployment by Senior School students, such as in the creation and deployment of mobile games using Corona and Lua for example, students are able to be powerfully enabled as creative producers, not just passive users.
The presentation will give an overview of these areas of Computational Thinking and some outline of how they might be implemented in the curriculum, including current examples from senior IT classes in Queensland who are creating digital apps for Android devices.
This presentation will cover some of the ground from my ACEC 2012 talk on this topic (see SlideCast at this link: http://www.slideshare.net/StrategicITbyPFH/computational-thinking-14629222), but expand in a number of areas, in particular some specific suggestions regarding classroom implementation.
Social Network Analysis Introduction including Data Structure Graph overview. Doug Needham
Social Network Analysis Introduction including Data Structure Graph overview. Given in Cincinnati August 18th 2015 as part of the DataSeed Meetup group.
How to conduct a social network analysis: A tool for empowering teams and wor...Jeromy Anglim
Slides and details available at: http://jeromyanglim.blogspot.com/2009/10/how-to-conduct-social-network-analysis.html
A talk on using social network analysis as a team development tool.
This workshop will introduce some of the main principles and techniques of Social Network Analysis (SNA). We will use examples from organizational and social media-based networks to understand concepts such as network density, diameter, centrality measures, community detection algorithms, etc. The session will also introduce Gephi, a popular program for SNA. Gephi is a free and open-source tool that is available for both Mac and PC computers.
By the end of the session, you will develop a general understanding of what SNA is, what research questions it can help you answer, and how it can be applied to your own research. You will also learn how to use Gephi to visualize and examine networks using various layout and community detection algorithms.
Instructor’s Bio: Dr. Anatoliy Gruzd is a Canada Research Chair in Social Media Data Stewardship, Associate Professor at the Ted Rogers School of Management at Ryerson University, and Director of Research at the Social Media Lab. Anatoliy is also a Member of the Royal Society of Canada’s College of New Scholars, Artists and Scientists; a co-editor of a multidisciplinary journal on Big Data and Society; and a founding co-chair of the International Conference on Social Media and Society. His research initiatives explore how social media platforms are changing the ways in which people and organizations communicate, collaborate and disseminate information and how these changes impact the norms and structures of modern society.
Social Network Analysis Workshop
This talk will be a workshop featuring an overview of basic theory and methods for social network analysis and an introduction to igraph. The first half of the talk will be a discussion of the concepts and the second half will feature code examples and demonstrations.
Igraph is a package in R, Python, and C++ that supports social network analysis and network data visualization.
Ian McCulloh holds joint appointments as a Parson’s Fellow in the Bloomberg School of Public health, a Senior Lecturer in the Whiting School of Engineering and a senior scientist at the Applied Physics Lab, at Johns Hopkins University. His current research is focused on strategic influence in online networks. His most recent papers have been focused on the neuroscience of persuasion and measuring influence in online social media firestorms. He is the author of “Social Network Analysis with Applications” (Wiley: 2013), “Networks Over Time” (Oxford: forthcoming) and has published 48 peer-reviewed papers, primarily in the area of social network analysis. His current applied work is focused on educating soldiers and marines in advanced methods for open source research and data science leadership.
More information about Dr. Ian McCulloh's work can be found at https://ep.jhu.edu/about-us/faculty-directory/1511-ian-mcculloh
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...Xiaohan Zeng
The advent of the social networks has completely changed our daily life. The deluge of data collected on Social Network Services (SNS) and recent developments in complex network theory have enabled many marvelous predictive analysis, which tells us many amazing stories.
Why do we often feel that "the world is so small?" Is the six-degree separation purely imagination or based on mathematical insights? Why are there just a few rockstars who enjoy extreme popularity while most of us stay unknown to the world? When science meets coffee shop knowledge, things are bound to be intriguing.
I will first briefly describe what social networks are, in the mathematical sense. Then I will introduce some ways to extract characteristics of networks, and how these analyses can explain many anecdotes in our life. Finally, I'll show an example of what we can learn from social network analysis, based on data from Groupon.
Towads Unsupervised Commonsense Reasoning in AITassilo Klein
Slides of the presentation given at ML Meetup in Berlin 09/07/2020.
The full presentation is available to watch: https://www.youtube.com/watch?v=AdA6aJpxFfM&feature=youtu.be
This talk deals with the basics of commonsense reasoning in AI. At first, a background about the concept is provided. Then detail about approaches developed at SAP AI research and published at ACL is presented
Powerpoint of talk given to QSITE Conference, at Siena College, Sippy Downs, Sunshine Coast, Australia on 30th Sept. 2013.
This is almost identical to the ELH presentation so if you have listened to that SlideCast don't worry about this one - I didn't record the audio this time, though in hinddight I should have as the conversation after the talk was great and the emphasis was different.
Knowledge Representation in the Age of Deep Learning, Watson, and the Semanti...James Hendler
IJCAI 16 keynote on the need to bring modern AI accomplishments of recent years into connection with the more traditional goals of symbolic AI (and vice versa).
ELH School Tech 2013 - Computational ThinkingPaul Herring
To be good ‘Computational Thinkers’ and hence effective users of, and more importantly empowered creators with Digital Technologies, students need to be conversant and articulate with:
algorithms;
cryptography;
machine intelligence;
computational biology;
search;
recursion;
heuristics;
Entrepreneurial enabling, and
The use of Digital Technologies to develop and support Critical Thinking skills.
While schools have taught many of these areas in the past, opportunities are now being presented where schools can fully embrace those areas traditionally part of a Computer Science type course, but also introduce the fascinating new areas of endeavor such as cryptography and computational biology.
Coupled with the increasing enabling of application development and deployment by Senior School students, such as in the creation and deployment of mobile games using Corona and Lua for example, students are able to be powerfully enabled as creative producers, not just passive users.
The presentation will give an overview of these areas of Computational Thinking and some outline of how they might be implemented in the curriculum, including current examples from senior IT classes in Queensland who are creating digital apps for Android devices.
This presentation will cover some of the ground from my ACEC 2012 talk on this topic (see SlideCast at this link: http://www.slideshare.net/StrategicITbyPFH/computational-thinking-14629222), but expand in a number of areas, in particular some specific suggestions regarding classroom implementation.
Social Network Analysis Introduction including Data Structure Graph overview. Doug Needham
Social Network Analysis Introduction including Data Structure Graph overview. Given in Cincinnati August 18th 2015 as part of the DataSeed Meetup group.
How to conduct a social network analysis: A tool for empowering teams and wor...Jeromy Anglim
Slides and details available at: http://jeromyanglim.blogspot.com/2009/10/how-to-conduct-social-network-analysis.html
A talk on using social network analysis as a team development tool.
This workshop will introduce some of the main principles and techniques of Social Network Analysis (SNA). We will use examples from organizational and social media-based networks to understand concepts such as network density, diameter, centrality measures, community detection algorithms, etc. The session will also introduce Gephi, a popular program for SNA. Gephi is a free and open-source tool that is available for both Mac and PC computers.
By the end of the session, you will develop a general understanding of what SNA is, what research questions it can help you answer, and how it can be applied to your own research. You will also learn how to use Gephi to visualize and examine networks using various layout and community detection algorithms.
Instructor’s Bio: Dr. Anatoliy Gruzd is a Canada Research Chair in Social Media Data Stewardship, Associate Professor at the Ted Rogers School of Management at Ryerson University, and Director of Research at the Social Media Lab. Anatoliy is also a Member of the Royal Society of Canada’s College of New Scholars, Artists and Scientists; a co-editor of a multidisciplinary journal on Big Data and Society; and a founding co-chair of the International Conference on Social Media and Society. His research initiatives explore how social media platforms are changing the ways in which people and organizations communicate, collaborate and disseminate information and how these changes impact the norms and structures of modern society.
Social Network Analysis Workshop
This talk will be a workshop featuring an overview of basic theory and methods for social network analysis and an introduction to igraph. The first half of the talk will be a discussion of the concepts and the second half will feature code examples and demonstrations.
Igraph is a package in R, Python, and C++ that supports social network analysis and network data visualization.
Ian McCulloh holds joint appointments as a Parson’s Fellow in the Bloomberg School of Public health, a Senior Lecturer in the Whiting School of Engineering and a senior scientist at the Applied Physics Lab, at Johns Hopkins University. His current research is focused on strategic influence in online networks. His most recent papers have been focused on the neuroscience of persuasion and measuring influence in online social media firestorms. He is the author of “Social Network Analysis with Applications” (Wiley: 2013), “Networks Over Time” (Oxford: forthcoming) and has published 48 peer-reviewed papers, primarily in the area of social network analysis. His current applied work is focused on educating soldiers and marines in advanced methods for open source research and data science leadership.
More information about Dr. Ian McCulloh's work can be found at https://ep.jhu.edu/about-us/faculty-directory/1511-ian-mcculloh
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...Xiaohan Zeng
The advent of the social networks has completely changed our daily life. The deluge of data collected on Social Network Services (SNS) and recent developments in complex network theory have enabled many marvelous predictive analysis, which tells us many amazing stories.
Why do we often feel that "the world is so small?" Is the six-degree separation purely imagination or based on mathematical insights? Why are there just a few rockstars who enjoy extreme popularity while most of us stay unknown to the world? When science meets coffee shop knowledge, things are bound to be intriguing.
I will first briefly describe what social networks are, in the mathematical sense. Then I will introduce some ways to extract characteristics of networks, and how these analyses can explain many anecdotes in our life. Finally, I'll show an example of what we can learn from social network analysis, based on data from Groupon.
Towads Unsupervised Commonsense Reasoning in AITassilo Klein
Slides of the presentation given at ML Meetup in Berlin 09/07/2020.
The full presentation is available to watch: https://www.youtube.com/watch?v=AdA6aJpxFfM&feature=youtu.be
This talk deals with the basics of commonsense reasoning in AI. At first, a background about the concept is provided. Then detail about approaches developed at SAP AI research and published at ACL is presented
Powerpoint of talk given to QSITE Conference, at Siena College, Sippy Downs, Sunshine Coast, Australia on 30th Sept. 2013.
This is almost identical to the ELH presentation so if you have listened to that SlideCast don't worry about this one - I didn't record the audio this time, though in hinddight I should have as the conversation after the talk was great and the emphasis was different.
Knowledge Representation in the Age of Deep Learning, Watson, and the Semanti...James Hendler
IJCAI 16 keynote on the need to bring modern AI accomplishments of recent years into connection with the more traditional goals of symbolic AI (and vice versa).
BA and Beyond 19 Sponsor spotlight - Namahn - Beating complexity with complexityBA and Beyond
It’s a complex world full of complex problems- organisational change, the income inequality gap and digital transformation just to name a few.
The conventional way of combatting complexity to solve problems no longer works.
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The first of its kind, the toolkit is based on academic research and human-centred design expertise. It is also the first to be endorsed by the Systemic Design Association and is truly changing the way that solutions are designed.
We invite you to come and discover how the Systemic Design Toolkit is driving a democratisation and transformation of the solutions design process for all stakeholders involved.
A high-level overview of social network analysis, providing background on how it came into the knowledge management field. Includes an example and core concepts pertinent to the audience, online community managers.
How Social Networking is Changing How We Collaborate and Share InformationLynn Reyes
The "social" factor in the way things really work and how we might think about it from discovery, strategic planning and design, execution, measurement and management.
Presentation made at the Convurge Conference in June 2007.
Understand levels of system and their capacity to adopt to change ,by designing the new system with processes, rules, policies, roles, boundary management, values etc a design by co creation with social tools can help increase engagement.
En esta presentación describo como un Agile Coach es un líder conector y catalizador cuando trabajaba en WalMart, desde mi pensamiento personal, hasta mi contribución dentro del 'sistema', la empresa.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
How to map networks
1. How to Map Networks
(Understand basic elements of Networks)
Agile Praxis
| +52 55 299 55 256 | info@yuinikoacdemy.com | CDMX March 2019
Ulises S. Aguila
2. Ground Rules for this session:
● Don’t be afraid of say what you think
● Better if we can see each other our faces by zoom
● Two feet session rule
● Session built by all the participants (interchange information)
● This is a session where EGO is not allowed
ALERT
3. Quick Intro
1-Who are you and what do you do?
2-How many people do you know in this room?
3-Something funny about yourself (Optional)
0.
Let’s start with
row 2, column 2,
then follow your
right.
This is column 1,
row 1
6. INDEX
1. Why your interest?, Why my
interest?
2. What is a Network?
3. Why Networks?, Why we need it?
4. Network elements & analysis
5. Trust & Ecosystems
6. Mapping together
7. Why my interest?, Why your
interest?
“Teaching is only demonstrating that it is possible.
Learning it is making possible for yourself
Paulo Coelho
1.
8. E = MC2
• M is the Mastery of each individual (human capital).
• C are the Connections that join individuals into a com-
munity (social capital).
• C is the Communication that flows through those
Connections.
• E is the resulting Effectiveness of the team or organization.
Vancho Cirovski
9. … the search for the ‘perfect system’ for ‘Scaling’
… only few leaders in organization
… because always liked the idea of fastest initiatives
… because always wanted to work in orgs only in things that really
matter to me
… our society is changing faster and things are becoming more and
more complex
… high interest in how to build ecosystems of innovation
Why my interest in Networks?
10. Why my interest in Networks?
… Strong relations with Systems
11. YOU NEVER CHANGE
THINGS BY FIGHTING
REALITY. TO CHANGE
SOMETHING, BUILD A
NEW MODEL THAT
MAKES THE EXISTING
MODEL OBSOLETE
BUCKMINSTER FULLER.
Why my interest in Networks?
12. Why your interest in Networks?
We do a quick round with
everybody, 2-3 minutes.
We start with last row, last
column, then your left.
13. What is a Network?
Social networks have existed since the discovery of
fire. Although we have always expressed ourselves
through language, feelings and body language, and
our relationships with others are evident in the
networks we make, we are now more aware of this. It
is now time to become even more aware of our
collaborative power.
2.
14. What is a Network?
A network of social connections and personal relationships between people
Oxford dictionary
A network of individuals (such as friends, acquaintances, and coworkers) connected by interpersonal
relationships
An online service or site through which people create and maintain interpersonal relationships
Merriam Webster
The different groups of people that you know
Cambridge dictionary
Is a social structure made up of a set of social actors (such as individuals or organizations), sets of ties
, and other social interactions between actors
Wikipedia
15. What is a Network?
Networks may refer to different fields:
Technology, Engineering, Communications, Science
Mathematics & statistics, Social, A complex system (of relations)
16. ‘It’s not what we do but how and
with whom we act and interact
that brings transformation.
Interaction = Connections
Two participants that wears
something black say what
they think about this phrase.
17. Some effects of certain communication
patterns on group performance..
SOME EFFECTS OF CERTAIN
COMMUNICATION
PATTERNS UPON GROUP PERFORMANCE
Jack Leavitt 1951
Network configurations investigated in previous research (from Leavitt, 1951)
Science
What is a Network?
18. Technology and communications
A network is a collection of
computers, servers, mainframes,
network devices, peripherals, or other
devices connected to one another to
allow the sharing of data.
An excellent example of a network is
the Internet
What is a Network
Computer Hope
19. Paul Baran was a Polish-born Jewish
American engineer who was a pioneer in the
development of computer networks.
Source: Introduction to Distributed Communications Networks, Paul Baran
Centralized Decentralized Distributed
Technology and communications (Defense)
What is a Network?
20. Social and behavioral sciences
Social networks and the analysis of them is
an inherently interdisciplinary academic field
which emerged from:
-Social psychology
-Sociology
-Statics
-Graph theory
What is a Network?
21. Social and behavioral sciences
Jacob Moreno as the first examples of social
network analysis and visualization.
Moreno’s first sociograms visualize the
relationships between pupils in a classroom:
who wants to be sitting next to whom?
Source: Morenos’ Sociogram
What is a Network?
22. 1-What is your definition of a Network?,
how a Network is related with control?
2-What is a centralized, decentralized
and a distributed Network?
3-What type of connections can have
one person with another?, What do
you think can be mapped?
What is a Network for you?
We do a quick round with
everybody, 2-3 minutes.
We start with first row, first
column, then your left.
(6-8 min)
23. Why Networks?
“One thing we know about transforming systems is
that we need a tremendous amount of
experimentation
June Holley
3.
24. The right observer ask the right question
● Who goes to whom for advice and expertise?
● Organizational reporting (structure)
● What are the group of people close to retirement?
● How the information flows by mails?
● What is the relation between X and Y segment of clients?
● Which are the most vulnerable groups?
● Who introduced you to Pierre?
Why Networks?
26. Carl Shapiro & Hal R. Varian.
Information rules ‘A Strategic guide to Network Economy’
The old industrial
economy was driven by
economies of scale; the
new information
economy is driven by
the economics of
networks...”
A voluntary what would like to say what they think
about this phrase?. (or the following phrase)
27. ‘All the systems are open. All the system are
self organizing. If true - control as we sought
it is impossible. Management as we have
practiced it is questionable'
HARRISON OWEN. A voluntary what would like to say what they
think about this phrase?.
28. ‘All the systems are open. All the system are
self organizing. If true - control as we sought
it is impossible. Management as we have
practiced it is questionable'
HARRISON OWEN. A voluntary what would like to say what they
think about this phrase?.
Open Space
Leadership Network
Network
30. The 3 laws of Steve Denning
‘’The Age of Agile’’
The Law of small Team
The Law of client
The Law of Networks
¿How can improve the teams?
¿How can we understand the client?
¿How can we build an ecosystem?
Team Coaching, Scrum,
Team building, etc.
Design Thinking, Service
Design, Blue Print, MVPs,
trends, Client’s Network
analysis.
Systemic - Thinking
Networks (BMC,,))
31. Law of small Teams
Law of Networks
Law of Client
“ + 1 Law missing
32. 3 Laws + 1 Law
● The Law of small
teams
● The Law of
Leadership
● The Law of
Networks
● The Law of the
Client
33. Why Networks?
20th Century Leadership 21 Century Leadership
Few leaders (authority by power) Everyone can be a leader without an official role,
all of us have infinite possibilities
Paid, to tell you what to do, not to think Do things that really matter or have a meaning
or purpose to create engagement, collaborative
initiatives
Assembly line & control of positions Experimentation, empiric management
Cause and effect, everything can be predictable Complex causes, Unexpected
One right way & recipes Many perspectives, many solutions, contexts are
infinite
Control Support & Coaching
Individualism as a way to manage or attack
predictability
Collaboration to manage complexity and
uncertainty (sensemaking, trust, etc)
34. Network Roles (Leadership)
● Connector Catalyst
Connects people or close triangles
(common interest)
● Self-Organized
Project Coordinator
Helps with self-organized projects
● Network
Guardian
Communication, support,
training, helping with resources
● Network
Facilitator
Help convene people to set up a
focused network
Source:Network Weaving
Needs to be persuasive and be comfortable as a peer rather than as a Manager
36. Why Networks?
Level of prescription
Complexityand
Uncertainty
HighLow
LowHigh
High possibilities of
failing We don’t understand the
patterns of prescriptions.
We think in prescriptions
as the ultimate level of
things (safe, less, etc)
37. Donella Meadows called change in deep structures (Thinking in Systems):
A shift in how we relate to each other from hierarchy to peers working
A shift from control mentality to creation of a web of support that enable us to
find others, communicate easily, access resources and reflect on our work
A shift to a deep appreciation of our differences and use those differences to
make breakthroughs in our co-creative process
Why Networks?
38. 1-Do you see a necessity of
understanding Networks better?
2-What paradigms we should work to
start a Network mindset?
3-What do you think about leadership
in Networks and 21st Century?
Why Networks?
One voluntary can explain us
their WHY?.
Someone with blue T-Shirt
39. Networks elements & Analysis
“Sometime I feel I am an outsider in a massive
sociology experiment with no hypothesis
Anonym
4.
40. Network Elements & Analysis
An Open Triangle: Occurs when one person has relationships with two others who do not know each
other. One of the most powerful Network Weaving acts is to Close Triangles by introducing two
individuals to each other, especially if they have some common interest
41. Network Elements & Analysis
Nodes: Are squares on a network map that represent individuals (or some cases organizations)
Links: are the lines connecting nodes and represent a relationship. (Level of)
Relationship: General relationship or specific relationship (EG Someone may have working relationship
but not a social relationship)
Directional link: Shown by arrows on a map, when the arrows go both ways
42. Network Elements & Analysis
People in this Network interact with people like themselves
Close and homogenous
What are the positive qualities?
What are the limitations?
Source: Network Weaving
43. Network Elements & Analysis
People in this Network interact with people like themselves
Old boy’s Networks: Close and homogenous
-This type of network has a high level of trust
-People in this network know what is going on throughout it
-People in this network don’t have access to different ideas,
perspective, resources.
What are the positive qualities?
What are the limitations?
Source: Network Weaving
44. Network Elements & Analysis
People in this Network are only connected to 2 others.
Elephant Network: Long strands of connections
What are the positive qualities?
What are the limitations?
Source: Network Weaving
45. Network Elements & Analysis
People in this Network are only connected to 2 others.
Elephant Network: Long strands of connections
-People have the potential to know their friends’ friends how have
different perspectives
-People in this network are less likely to know what is going on other
part of the network
What are the positive qualities?
What are the limitations?
Source: Network Weaving
46. Network Elements & Analysis
One person controls this network and information flow in the network
Network: Hub & Spoke
What are the positive qualities?
What are the limitations?
Source: Network Weaving
47. Network Elements & Analysis
One person controls this network and information flow in the network
Network: Hub & Spoke
The hub can be a very efficient at spreading information
-People are less likely to know what is happening with the rest
-If one key people left, it would be easily to fall apart
What are the positive qualities?
What are the limitations?
Source: Network Weaving
48. Network Elements & Analysis
Groups of people with similar affiliations, geography, race, interest are
barely connected to each other
Network: Isolated clusters
What are the positive qualities?
What are the limitations?
Source: Network Weaving
49. Network Elements & Analysis
Groups of people with similar affiliations, geography, race, interest are
barely connected to each other
Network: Isolated clusters
-Solidarity and comfort of similarity
-People only tend to hear one perspective
-Can lead to discrimination
-People are unlikely to know what is happening in other clusters
What are the positive qualities?
What are the limitations?
Source: Network Weaving
53. Source: Network Weaving
Network Elements & Analysis
Type of Networks and their structure
Relationship
Network
Connecting people
Building trust
Bringing new people to the Network
Intentional Network Focus on an opportunity
Engaging people to develop strategies
Action Network Encourage people to take initiatives
Clustering people
Fostering collaboration
Support Network Setting up communications and platform
Restructure resources
Evaluation & reflexion
Support Network weavers
54. Network Elements & Analysis
Groups Exercice
What are the 3 things you
notice about this network?
The innovation Learning Network is a Network of 17 Hospitals. Each organization is a different color of grey
55. Network Elements & Analysis
Groups Exercice
What are the 3 things you
notice about this network?
Some isolated
groups
One group
dominates the core
Most
groups not
connected
with other
groups
The innovation Learning Network is a Network of 17 Hospitals. Each organization is a different color of grey
56. Trust and ecosystems in
Networks
“Teaching is only demonstrating that it is possible.
Learning it is making possible for yourself
Paulo Coelho
5.
57. Trust & ecosystems in Networks
What is trust?, How trust
is related with building
relations and a healthy
Network?
Member of a Network Arrows shows who
trust who
58. Did I say Ecosystems?
"We need to learn from Nature.
X.
59. Networks function not just because
everyone involved does their piece,
but because the flow of resources
within the network create a whole
greater than the sum of parts,
generated by and increasing a
practice of abundance
Success looks like: vitality, a feeling
of fullness rather than burnout
Source: Network Ecology
PARADIGM SHIFT: REMEMBER ABUNDANCE
Nurse logs are dead trees that provide water and nutrients to grow new trees and other species.
Trust & ecosystems in Networks
60. Every participant in a network
brings specific skill, resources or
perspectives AND has different
capacity, work/leadership style, and
language. Networks are
strengthened by understanding and
leveraging this diversity.
Success looks like:
This manifests as individuals and
their specific talents feeling seen as
contributions to the network
Source: Network Ecology
PARADIGM SHIFT: HONOR DIFFERENCE
Ravens are often found near hunting wolves and help them find prey - it is because of their difference that they
both can eat
Trust & ecosystems in Networks
61. Network practitioners are adept at
connecting people, institutions, ideas and
resources for mutual benefit and create,
grow, and sustain common purpose.
Success looks like:
Long-term relationships develop that may
result in collaborations
Source: Network Ecology
PARADIGM SHIFT: FOSTER CONNECTIONS
Mason bees are efficient pollinators creating connections across various species.
Trust & ecosystems in Networks
62. Networks require effective working
relationships and information sharing
between many individuals and groups --
supporting exchange of resourves, sharing
tasks, and collective ownership of outcomes
is essential.
Success looks like:
Develop a collaborartive effort, Shared work
and partnership
Source: Network Ecology
PARADIGM SHIFT: CULTIVATE COLLABORATIONS
Mycorrhizal networks help trees move resources among themselves and protect them from treats.
Trust & ecosystems in Networks
63. Network Analysis
The innovation Learning Network is a Network of 17 Hospitals. Each organization is a different color of grey
Are the right connections in place?
Are any key connections missing?
Who are playing leadership roles in the community?
Who is not, but should be?
Who are the experts in the area?
Who are the mentors that others seek out for advice?
Who are the innovators? Are ideas shared and acted upon?
Are collaborative alliances forming between local businesses?
Which businesses will provide a better return on investment – both for themselves and
the community they are embedded in?
64. Mapping together
“Nothing Increase awareness of networks and gives
people concrete ideas of what they can do to improve
their network than developing a network map.
June Holley
6.
65. ● Hand drawing a network
Map in a big piece of paper or using post it
notes
● Generating maps with software
For this specific time we will use Kumu and
an online excel sheet
Options for
mapping.
66. Let’s map this session using google docs:
https://docs.google.com/spreadsheets/d/15Bpi1Kis-
ciRhYdpfC9QYv3WxVafMvBZ-OA2fgQXb_A/edit#gid=1620801565
For imaging your pic:
https://imggmi.com/
Ground Rules for this session:
Don’t be afraid of say what you think even if you are not sure, this is a safe container session
Better if we can see each other our faces by zoom, we are trying to simulate a face to face conversation and trying to stimulate a more engaging session
Two feet session rule, feel free to abandon if you have something else to do
This session will be built by all the participants, knowledge is more powerful together, not only by the facilitators
This is a session where EGO is not allowed, feel free to abandon if you came with this mindset
This is a session where everyone will need to participate and collaborate
Family Coaching by Pierre
Once we map the “go-to” network, we can measure it
also. Based on the pattern of links – who goes to whom for
advice and expertise – we can measure this network in a
way similar to how Google measures the Web. We can
determine who the key people are in the flow of expertise
around this research lab. Luckily, the top two experts are
not near retirement, but others in the top 10 are. The three
largest nodes and one of the medium nodes are in the top-
10 of expertise dissemination in this network. Seeing this
diagram, the lab manager immediately started to plan how
she would disseminate the knowledge and expertise of the
upcoming retirees. She chose mentoring as a first step.
... the search for the ‘perfect System’ for ‘Scaling’ Rigid structures aren’t responsive, we need a shift from hierarchies to work as peers and co-create a world and organizations that works for all
… only few leaders in organization (Leadership style)
… because always liked the idea of fastest initiatives, working in different organizations make me aware of how bureaucratic can be to implement an idea..
… because I don’t like to work in something that don’t matter to me, engagement in work is crucial
Speak slowly
Information rules ‘A Strategic guide to Network Economy’
https://www.researchgate.net/figure/Network-configurations-investigated-in-previous-research-from-Leavitt-1951_fig1_220578358
It is the purpose of this study to determine the effects of four different communication patterns on the task performance of small groups, and on the behavior of individual members of those groups. By communication pattern is meant the network of channels of communication linking the group members with one another.
https://www.computerhope.com/jargon/n/network.htm
Baran took on the task of designing a "survivable" communications system that could maintain communication between end points in the face of damage from nuclear weapons during the cold War..
http://www.martingrandjean.ch/social-network-analysis-visualization-morenos-sociograms-revisited/
Moreno’s sociograms are frequently considered as the first examples of social network analysis and visualization. Mapping the social affinities of a group of individuals, Moreno’s first sociograms visualize the relationships between pupils in a classroom: who wants to be sitting next to whom? Each child can choose two others, for results that suggest that sociabilities are changing over time: the proportion of attractions between boys and girls decrease, community structures are formed and then disappear, etc.
http://www.martingrandjean.ch/social-network-analysis-visualization-morenos-sociograms-revisited/
A social Network is self-organized, emergent & complex
Information rules ‘A Strategic guide to Network Economy’
Information rules ‘A Strategic guide to Network Economy’
Information rules ‘A Strategic guide to Network Economy’
Information rules ‘A Strategic guide to Network Economy’
Information rules ‘A Strategic guide to Network Economy’
http://www.martingrandjean.ch/social-network-analysis-visualization-morenos-sociograms-revisited/
A social Network is self-organized, emergent & complex
Directional link: Shown by arrows on a map, when the arrows go both ways, both people say that they have the relationship with each other, in some cases the arrow will only be going in one direction, (EG, if one person says he or she goes to another person for advice, the second person may not go to the first advice)