Presented by Dr. Matt Hamilton, The Ohio State University, USA and Dr. Caleb Gallemore, Lafayette College, USA, on 10 November 2020 at "International workshop: Enhancing wetland management and sustainable development"
Adaptive network models of socio-cultural dynamicsHiroki Sayama
H. Sayama (2018) Adaptive network models of socio-cultural dynamics, an invited talk at the APCTP International Workshop on Theoretical Perspectives in Network Science, December 7-9, 2018, Seoul, Korea.
Social Network Analysis: applications for education researchChristian Bokhove
What is your talk about?
This seminar will illustrate various social network analysis (SNA) techniques and measures and their applications to research problems in education. These applications will be illustrated from our own research utilising a range of SNA techniques.
What are the key messages of your talk?
We will cover some of the ways in which network data can be collected and utilised with other research data to examine the relationships between network measures and other attributes of individuals and organisations, and how it can be linked to other approaches in multiple methods studies.
What are the implications for practice or research from your talk?
SNA is an approach that draws from theories of social capital to study the relational ties that exist between actors or institutions in a specific context. Such ties might include learning exchanges or advice-seeking interactions. SNA techniques allow researchers to incorporate the interdependence of participants within their research questions, whereas many traditional techniques assume our participants, and their responses to our questions, are independent of one another.
Adaptive network models of socio-cultural dynamicsHiroki Sayama
H. Sayama (2018) Adaptive network models of socio-cultural dynamics, an invited talk at the APCTP International Workshop on Theoretical Perspectives in Network Science, December 7-9, 2018, Seoul, Korea.
Social Network Analysis: applications for education researchChristian Bokhove
What is your talk about?
This seminar will illustrate various social network analysis (SNA) techniques and measures and their applications to research problems in education. These applications will be illustrated from our own research utilising a range of SNA techniques.
What are the key messages of your talk?
We will cover some of the ways in which network data can be collected and utilised with other research data to examine the relationships between network measures and other attributes of individuals and organisations, and how it can be linked to other approaches in multiple methods studies.
What are the implications for practice or research from your talk?
SNA is an approach that draws from theories of social capital to study the relational ties that exist between actors or institutions in a specific context. Such ties might include learning exchanges or advice-seeking interactions. SNA techniques allow researchers to incorporate the interdependence of participants within their research questions, whereas many traditional techniques assume our participants, and their responses to our questions, are independent of one another.
Social Network Analysis for Competitive IntelligenceAugust Jackson
How can CI teams apply the concepts of social network analysis to gain insight into the capabilities and plans of their competitors? Presented by Jim Richardson and August Jackson in April 2007 at the Society of Competitive Intelligence Professionals annual conference in New York City.
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.
Subscriber Churn Prediction Model using Social Network Analysis In Telecommun...BAINIDA
Subscriber Churn Prediction Model using Social Network Analysis In Telecommunication Industry โดย เชษฐพงศ์ ปัญญาชนกุล อาจารย์ ดร. อานนท์ ศักดิ์วรวิชญ์
ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
Power no longer resides exclusively (if at all) in states, institutions, or large corporations. It is located in the networks that structure society. Social network analysis seeks to understand networks and their participants and has two main focuses: the actors and the relationships between them in a specific social context.
Understanding Collaboration in Fluid Organizations, a Proximity ApproachDawn Foster
Dawn Foster, Guido Conaldi, Riccardo De Vita
University of Greenwich
Centre for Business Network Analysis
http://www.gre.ac.uk/business/research/centres/cbna/home
Presented at the Third European Conference on Social Networks (EUSN) Mainz, Germany on 27 September 2017
This study investigates collaboration in an open source software community using proximity theory as the theoretical lens with social network analysis and modeling of activities over time to predict collaboration.
Actors in this study are part of the Linux kernel community where they collaborate on one or more sub-projects using mailing lists as the primary method of collaboration. Collaboration occurs in real-time between actors that contribute to multiple sub-projects, work for firms that pay them to contribute to the Linux kernel, and are working virtually from locations across the globe. This complex setting can be better understood by using several dimensions of proximity: organizational, cognitive, institutional, social, and geographical. Collaboration is analysed using data from source code contributions and mailing list participation.
Open source software is developed in the open where anyone can view the source code and anyone with the knowledge to do so can contribute to the project. With no central group responsible for coordination of tasks, collaboration on the development of this software is emergent. Because people from around the world work on these projects together using online tools with publicly accessible interactions between people, it is a relevant setting for using social network analysis to understand and model network relationships.
Social Network Analysis for Competitive IntelligenceAugust Jackson
How can CI teams apply the concepts of social network analysis to gain insight into the capabilities and plans of their competitors? Presented by Jim Richardson and August Jackson in April 2007 at the Society of Competitive Intelligence Professionals annual conference in New York City.
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.
Subscriber Churn Prediction Model using Social Network Analysis In Telecommun...BAINIDA
Subscriber Churn Prediction Model using Social Network Analysis In Telecommunication Industry โดย เชษฐพงศ์ ปัญญาชนกุล อาจารย์ ดร. อานนท์ ศักดิ์วรวิชญ์
ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
Power no longer resides exclusively (if at all) in states, institutions, or large corporations. It is located in the networks that structure society. Social network analysis seeks to understand networks and their participants and has two main focuses: the actors and the relationships between them in a specific social context.
Understanding Collaboration in Fluid Organizations, a Proximity ApproachDawn Foster
Dawn Foster, Guido Conaldi, Riccardo De Vita
University of Greenwich
Centre for Business Network Analysis
http://www.gre.ac.uk/business/research/centres/cbna/home
Presented at the Third European Conference on Social Networks (EUSN) Mainz, Germany on 27 September 2017
This study investigates collaboration in an open source software community using proximity theory as the theoretical lens with social network analysis and modeling of activities over time to predict collaboration.
Actors in this study are part of the Linux kernel community where they collaborate on one or more sub-projects using mailing lists as the primary method of collaboration. Collaboration occurs in real-time between actors that contribute to multiple sub-projects, work for firms that pay them to contribute to the Linux kernel, and are working virtually from locations across the globe. This complex setting can be better understood by using several dimensions of proximity: organizational, cognitive, institutional, social, and geographical. Collaboration is analysed using data from source code contributions and mailing list participation.
Open source software is developed in the open where anyone can view the source code and anyone with the knowledge to do so can contribute to the project. With no central group responsible for coordination of tasks, collaboration on the development of this software is emergent. Because people from around the world work on these projects together using online tools with publicly accessible interactions between people, it is a relevant setting for using social network analysis to understand and model network relationships.
Information, Knowledge Management & Coordination Systems: Complex Systems App...CITE
Date: 4 Jun 2013
Time: 12:45pm - 2:00pm
Venue: Room 101, Runme Shaw Building, The University of Hong Kong
Speakers: Professor Liaquat Hossain, University of Sydney
------------------------------------
http://www.cite.hku.hk/news.php?id=502&category=conference
Everything is connected: people, information, events and places. A practical way of making sense of the tangle of connections is to analyze them as networks. The objective of this workshop is to introduce the essential concepts of Social Network Analysis (SNA). It also seeks to show how SNA may help organizations unlock and mobilize these informal networks in order to achieve sustainable strategic goals. After discussing the essential concepts in theory of SNA, the computational tools for modeling and analysis of social networks will also be introduced in this presentation.
Finding prominent features in communities in social networks using ontologycsandit
Community detection is one of the major tasks in social networks. The success of any community
depends upon the features that were selected to form the community. So it is important to have
the knowledge of the main features that may affect the community. In this work we have
proposed a method to find prominent features based on which community can be formed.
Ontology has been used for the said purpose.
Collaboration between Software Developers and the Impact of ProximityDawn Foster
Poster Presented at XXXVII Sunbelt Conference
of The International Network For Social Network Analysis (INSNA)
May 30th, 2017 – June 4th, 2017 Beijing, China
Applying systemic methodologies to “IT ecosystems” in order to harmonize business operations and information systems within the organization
Software ecosystems and IT ecosystems are modern terms used to describe complex networks of IT applications. The idea comes from the perspective that IT systems are made by people, serve people in the context of socio-technical systems and, finally, they affect the lives of more people. All that stuff live and evolve together, each having its own properties and dynamics. All together form a kind of ecosystem which exposes its own emergent behavior. It is a perfect field to apply systemic approach in order to create a holistic approach, to reveal the underlying dynamic structure, to cope with complexity and to extract order out of the mess. The final objective is to bridge the gap between business and IT helping the organization to serve its purpose.
Workshop overview and slides explains how we are supporting better collection and standardisation of data about the sector in London
On 27 November 2023 we launched the Small Charity Data Journeys research report, holding a series of workshops to delve deeper into findings and explore ways of working.
A comparative analysis of national REDD+ policy networks: conflicts and coope...CIFOR-ICRAF
Using a comparative policy network approach, this presentation investigates and compares networking among policy actors in the REDD+ policy domain in six countries. The aim is to find out how policy network structures and coalitions of interests impact national REDD+ policy outcomes. The research presented here may be useful to countries who are now negotiating and designing their national REDD+ mechanisms and policies.
Monica Di Gregorio gave this presentation on 18 June 2012 at a panel discussion organised by CIFOR and partners at the ISEE 2012 Conference at Rio, which convened under the topic "Ecological Economics and Rio+20: Challenges and Contributions for a Green Economy". The panel was titled ‘National strategies for reducing emissions from avoided deforestation and degradation – how much transformational change is possible in current political and economic realities? Part II – A policy network perspective’. For more information, visit http://www.cifor.org/rio20/
Mejorando la estimación de emisiones GEI conversión bosque degradado a planta...CIFOR-ICRAF
Presented by Kristell Hergoualc'h (Scientist, CIFOR-ICRAF) at Workshop “Lecciones para el monitoreo transparente: Experiencias de la Amazonia peruana” on 7 Mei 2024 in Lima, Peru.
Inclusión y transparencia como clave del éxito para el mecanismo de transfere...CIFOR-ICRAF
Presented by Lauren Cooper and Rowenn Kalman (Michigan State University) at Workshop “Lecciones para el monitoreo transparente: Experiencias de la Amazonia peruana” on 7 Mei 2024 in Lima, Peru.
Avances de Perú con relación al marco de transparencia del Acuerdo de ParísCIFOR-ICRAF
Presented by Berioska Quispe Estrada (Directora General de Cambio Climático y Desertificación) at Workshop “Lecciones para el monitoreo transparente: Experiencias de la Amazonia peruana” on 7 Mei 2024 in Lima, Peru.
Land tenure and forest landscape restoration in Cameroon and MadagascarCIFOR-ICRAF
FLR is an adaptive process that brings people (including women, men, youth, local and indigenous communities) together to identify, negotiate and implement practices that restore and enhance ecological and social functionality of forest landscapes that have been deforested or degraded.
ReSI-NoC - Strategie de mise en oeuvre.pdfCIFOR-ICRAF
Re nforcer les S ystèmes d’ I nnovations
agrosylvopastorales économiquement
rentables, écologiquement durables et
socialement équitables dans la région du
No rd C ameroun
ReSI-NoC: Introduction au contexte du projetCIFOR-ICRAF
Renforcer les systèmes d’innovation agricole en vue de
promouvoir des systèmes de production agricole et
d’élevage économiquement rentables, écologiquement
durables et socialement équitables dans la région du
Nord au Cameroun (ReSI-NoC)
Renforcer les Systèmes d’Innovations agrosylvopastorales économiquement renta...CIFOR-ICRAF
Renforcer les Systèmes d’Innovations agrosylvopastorales économiquement rentables, écologiquement durables et socialement équitables dans la région du
Nord Cameroun
Introducing Blue Carbon Deck seeking for actionable partnershipsCIFOR-ICRAF
Presented by Daniel Murdiyarso (Principal Scientist, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
A Wide Range of Eco System Services with MangrovesCIFOR-ICRAF
Presented by Mihyun Seol and Himlal Baral (CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Presented by Citra Gilang (Research Consultant, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Peat land Restoration Project in HLG LonderangCIFOR-ICRAF
Presented by Hyoung Gyun Kim (Korea–Indonesia Forest Cooperation Center) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Sungsang Mangrove Restoration and Ecotourism (SMART): A participatory action ...CIFOR-ICRAF
Presented by Beni Okarda (Senior Research Officer, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Coastal and mangrove vulnerability assessment In the Northern Coast of Java, ...CIFOR-ICRAF
Presented by Phidju Marrin Sagala (Research Consultant, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Carbon Stock Assessment in Banten Province and Demak, Central Java, IndonesiaCIFOR-ICRAF
Presented by Milkah Royna (Student Intern, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Cooperative Mangrove Project: Introduction, Scope, and PerspectivesCIFOR-ICRAF
Presented by Bora Lee (Warm-Temperate and Subtropical Forest Research Center, NIFoS Jeju, Republic of Korea) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...MMariSelvam4
The carbon cycle is a critical component of Earth's environmental system, governing the movement and transformation of carbon through various reservoirs, including the atmosphere, oceans, soil, and living organisms. This complex cycle involves several key processes such as photosynthesis, respiration, decomposition, and carbon sequestration, each contributing to the regulation of carbon levels on the planet.
Human activities, particularly fossil fuel combustion and deforestation, have significantly altered the natural carbon cycle, leading to increased atmospheric carbon dioxide concentrations and driving climate change. Understanding the intricacies of the carbon cycle is essential for assessing the impacts of these changes and developing effective mitigation strategies.
By studying the carbon cycle, scientists can identify carbon sources and sinks, measure carbon fluxes, and predict future trends. This knowledge is crucial for crafting policies aimed at reducing carbon emissions, enhancing carbon storage, and promoting sustainable practices. The carbon cycle's interplay with climate systems, ecosystems, and human activities underscores its importance in maintaining a stable and healthy planet.
In-depth exploration of the carbon cycle reveals the delicate balance required to sustain life and the urgent need to address anthropogenic influences. Through research, education, and policy, we can work towards restoring equilibrium in the carbon cycle and ensuring a sustainable future for generations to come.
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
Characterization and the Kinetics of drying at the drying oven and with micro...Open Access Research Paper
The objective of this work is to contribute to valorization de Nephelium lappaceum by the characterization of kinetics of drying of seeds of Nephelium lappaceum. The seeds were dehydrated until a constant mass respectively in a drying oven and a microwawe oven. The temperatures and the powers of drying are respectively: 50, 60 and 70°C and 140, 280 and 420 W. The results show that the curves of drying of seeds of Nephelium lappaceum do not present a phase of constant kinetics. The coefficients of diffusion vary between 2.09.10-8 to 2.98. 10-8m-2/s in the interval of 50°C at 70°C and between 4.83×10-07 at 9.04×10-07 m-8/s for the powers going of 140 W with 420 W the relation between Arrhenius and a value of energy of activation of 16.49 kJ. mol-1 expressed the effect of the temperature on effective diffusivity.
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Venturesgreendigital
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
Nelson's initial foray into the music industry was fraught with challenges. He moved to Nashville, Tennessee, to pursue his dreams, but success did not come . Working as a songwriter, Nelson penned hits for other artists. which helped him gain a foothold in the competitive music scene. His songwriting skills contributed to his early earnings. laying the foundation for his net worth.
Rise to Stardom
Breakthrough Albums
The 1970s marked a turning point in Willie Nelson's career. His albums "Shotgun Willie" (1973), "Red Headed Stranger" (1975). and "Stardust" (1978) received critical acclaim and commercial success. These albums not only solidified his position in the country music genre. but also introduced his music to a broader audience. The success of these albums played a crucial role in boosting Willie Nelson net worth.
Iconic Songs
Willie Nelson net worth is also attributed to his extensive catalog of hit songs. Tracks like "Blue Eyes Crying in the Rain," "On the Road Again," and "Always on My Mind" have become timeless classics. These songs have not only earned Nelson large royalties but have also ensured his continued relevance in the music industry.
Acting and Film Career
Hollywood Ventures
In addition to his music career, Willie Nelson has also made a mark in Hollywood. His distinctive personality and on-screen presence have landed him roles in several films and television shows. Notable appearances include roles in "The Electric Horseman" (1979), "Honeysuckle Rose" (1980), and "Barbarosa" (1982). These acting gigs have added a significant amount to Willie Nelson net worth.
Television Appearances
Nelson's char
Natural farming @ Dr. Siddhartha S. Jena.pptxsidjena70
A brief about organic farming/ Natural farming/ Zero budget natural farming/ Subash Palekar Natural farming which keeps us and environment safe and healthy. Next gen Agricultural practices of chemical free farming.
3. Network analysis:
A set of approaches for understanding interactions
???
What is the structure
of those interactions?
4. Network analysis:
A set of approaches for understanding interactions
???
What explains the
structure of those
interactions?
???
What is the structure
of those interactions?
5. Network analysis:
A set of approaches for understanding interactions
??? ???
What are the
implications of
those interactions?
What explains the
structure of those
interactions?
???
What is the structure
of those interactions?
6. Components of a network: nodes and links
Representation
LinksNodes
people, organizations,
institutions, concepts/factors,
places, habitat patches…
collaboration, exchange of
information, co-occurrence,
biophysical connectivity...
capacity, economic sector,
preferences, location,
size, type…
direction (or lack thereof),
frequency, magnitude, sign,
type…
Measurement
7. Different levels of network analysis /
Examples of research questions
Node-level: Do local conservation groups have more influence (e.g., more
incoming links) than local authorities?
Substructure-level: Which types of organizations broker the exchange of
information about PES between communes and provincial-level
organizations?
Network-level: How well connected are forest governance networks?
8. • People connect with visualizations of networks – opportunities for
engagement with stakeholders and decision-makers.
• Highly appropriate methodology for studying collaborative resource
management, coupled human-natural systems, and other environmental
social science fields that emphasize relationships.
• Increasingly accessible and powerful tools for data collection, analysis,
and visualization.
• Network perspectives are increasingly common (and expected) in many
environmental social science fields.
Strengths
& Opportunities
This is my
reality!
9. • Respondent fatigue
• Network analysis is more
sensitive to missing data
(because observations
are interdependent).
Weaknesses
& Challenges
• Can be difficult to identify the boundary of a network.
• Conceptualizing a complex system as a network requires
simplification and abstraction.
10. How networks help us understand forest
governance
Collaboration between two
organizations
Organization Organization
Organizations collaborate for
many different reasons.
What predicts collaboration
among organizations involved in
PFES/REDD+?
11. How networks help us understand forest
governance
Collaboration between two
organizations after participating in
the same PFES or REDD+ workshop
Organization Organization
If organizations participate in the
same workshops, are they more
likely to collaborate in the future?
If so, workshops may be playing
an important role in sparking
cooperationWorkshop
12. How networks help us understand forest
governance
Collaboration between two
organizations that work in the same
place
Organization Organization
If organizations work in the same
place, are they more likely to
collaborate?
If so, those partnerships can help
organizations avoid inefficiencies
Place
13. Exploring these questions by bringing
together multiple network datasets
Organization Organization
Longitudinal collaboration
network from REDD+ Policy
Network Study
Longitudinal network of
organizations participating in
REDD+ and PFES workshops
Network of where organizations
work
WorkshopOrganization
Organization Place
14. Preliminary results from network model
(stochastic actor oriented model)
Model 1
Rate parameter period 1 7.39 (0.49)***
Rate parameter period 2 5.58 (0.45)***
Outdegree (density) -1.61 (0.18)***
Reciprocity -0.00 (0.20)
Organizations co-attended workshops in prior time period 0.53 (0.22)*
Organizations work in the same place -0.31 (0.15)*
Governmental organization 0.51 (0.33)
Collaboration between governmental organizations 0.56 (0.20)**
Iterations 2669
***p < 0.001, **p < 0.01, *p < 0.05
15. Yes, organizations that attended the same workshops
are more likely to collaborate in the future!
Model 1
Rate parameter period 1 7.39 (0.49)***
Rate parameter period 2 5.58 (0.45)***
Outdegree (density) -1.61 (0.18)***
Reciprocity -0.00 (0.20)
Organizations co-attended workshops in prior time period 0.53 (0.22)*
Organizations work in the same place -0.31 (0.15)*
Governmental organization 0.51 (0.33)
Collaboration between governmental organizations 0.56 (0.20)**
Iterations 2669
***p < 0.001, **p < 0.01, *p < 0.05
16. But organizations that work in the same places are
more less likely to collaborate!
Model 1
Rate parameter period 1 7.39 (0.49)***
Rate parameter period 2 5.58 (0.45)***
Outdegree (density) -1.61 (0.18)***
Reciprocity -0.00 (0.20)
Organizations co-attended workshops in prior time period 0.53 (0.22)*
Organizations work in the same place -0.31 (0.15)*
Governmental organization 0.51 (0.33)
Collaboration between governmental organizations 0.56 (0.20)**
Iterations 2669
***p < 0.001, **p < 0.01, *p < 0.05
17. Taking stock of (preliminary!) results
In addition to disseminating information and training participants,
workshops may also catalyze collaboration, which can contribute to
more cohesive forest governance
Organizations seem to avoid one another when working in the same
areas. This may present challenges for coordination of forest
management activities
29. So let’s think about some of these
networks together.
Corridors
Watersheds
Governance
Supply
Chains
Information
30. New Partnerships for Sustainability (NEPSUS)
Project, Tanzania
• Coordinated by Stefano Ponte at Copenhagen Business School and
Christine Noe at University of Dar es Salaam
• Studies three different natural resource sectors:
39. Assessing PFES in Vietnam
• Random nation-wide sample of 250,000 pixels that were forested as of
2000 from Global Forest Watch data, combined with random sample of
250,000 pixels that were forested in 2000 but deforested by 2018
• Data on provincial activities carried out by organizations recorded as
active in REDD+ and/or PFES by CIFOR’s GCS-REDD studies carried out
since 2010
• Control variables - elevation, terrain ruggedness, surrounding cropland,
distance from road
• Random effects by region (will move to province with a larger sample)
43. Summary
• Conservation efforts take place in a complex network of
processes
• Emerging evidence both institutional (policy) and relational
(network) variables affect success in stemming forest loss
• Network building for conservation isn’t just about building
bigger networks, but also about building networks with the
most effective structures