The document outlines a training initiative for resource persons focused on participatory prospective analysis and scenario building, emphasizing the distinction between foresight and forecasting. It details the participatory prospective analysis (PPA) method and its application to various territorial development issues, alongside principles for effective scenario planning. Key steps include identifying driving forces, developing plausible scenarios, and defining strategies for action.
Overview of Foresight as a method for scenario building, introduced by Robin Bourgeois, in Quezon City, Philippines.
Foresight vs Forecast: Foresight uses qualitative data in a system approach, while Forecast relies on quantitative data and trends.
Foresight involves exploring multiple possible futures from a current situation, emphasizing a range of scenarios.
Classes of behavior in response to change: passive, reactive, pre-active, and pro-active strategies linked to forecast and foresight.
Introduction to the Participatory Prospective Analysis (PPA) method for local foresight scenario building.
PPA's development by CIRAD, influenced by 'Prospective School' figures, for co-constructing public policies.
Recent applications of PPA in various regions for issues like forest management and rural development.
Key principles of PPA include efficacy, participation, consistency, replicability, transparency, plausibility, relevance, and capacity building.
Key features of PPA: sources include actor knowledge and documents, with methodologies emphasizing qualitative data and possible quantitative analysis.
Outline of main steps in foresight: identifying forces shaping the future, plausible futures, and defining strategies.
Specific steps for scenario building and action planning, including defining the system and driving forces.
The Foresight method
forscenario building
Grassroots Foresight initiative - Training of Resource persons
Participatory Prospective Analysis –Scenario Building
February 1-7, 2015
Quezon City, The Philippines
Robin Bourgeois GFAR Secretariat
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2.
Foresight is notForecast
FORECAST
Sectorial Focus
Mostly quantitative data
Trends and variations
Modeling
The GIGO effect (Garbage In
Garbage Out)
FORESIGHT
System Approach
Mostly qualitative data
Trends and ruptures
Scenario building
The “Chaos” effect
2
3.
Foresight is notForecast
Future
x
Foresight is the exploration of the future
Current
situation
Possible
Future #1
Possible
Future #2
Possible
Future # …
Possible
Future #n
Current
situation
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Based on thework of the “Prospective School”
– Godet (CNAM); de Jouvenel (futuribles), etc…
Developed by a CIRAD team of scientists working on
the co-construction of public policies with more
actors participation
The Origins of PPA
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7.
PPA applied toterritorial development issues
Forest management in Yamdena Island, Indonesia
Access to the Amerindian area in French Guyana
Land use planning in Kapuas Hulu, Indonesia
Land use planning in Seram, Indonesia
Rural development in Mayotte, France
The futures of the Segou region, Mali
The futures of the Varakinantra region, Madagascar
Recent examples
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8.
Related to theobjectives
Efficacy: achieve results in a limited time frame
Participation: inclusiveness and interaction
Related to the content
Consistency: internal coherence of the method, rigor
Replicability: allow repetition, comparison
Transparency: no black box, everything documented
Related to the results
Plausibility: coherence of the results
Relevance: can be used for action
Capacity building: learning how to think forward
Principles
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9.
Sources
The knowledgeof actors and “experts”
Existing documents and data
Forms of interaction
Group work based on numerous interactions of “experts”
Methods
Qualitative data
Qantitative analysis when posible
Key features
9
10.
Main steps
S1 –Identification of the forces
shaping the future
Driving Forces of Change
S2 – Identification of
plausible futures
Plausible Scenarios
S3 – Definition of a strategyActions 10
11.
S3.8 From scenariosto action
S0.1 Define the limits of the system
S1.2 Identify the forces of change
S1.3 Define the forces of change
S1.4 Measure their mutual influences
S1.5 Unveiling the driving forces
S2.6 Define the states of the driving forces
S2.7 Build up scenarios
S0 – Defining the system
S1 – Identification of the
forces shaping the future
S2 – Identification of
plausible futures
S3 – Definition of a
strategy
Detailed steps
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