Foresight and the CGIAR
Views from the ISPC
Foresight Studies
Slide 10
Abstract
Real
Understanding
Creativityand
Analysis
Convergenceand
Synthesis
Realizationand
Commitment
Communication
Research
Demand & Scope
Diagnosis
Future Alternatives Priorization and Positioning
Strategy and Actions
Ex-ante evaluation and Implementation
Implementation
§ Demand characterization – iidentify and
define (fframe / reframe) question(s)
(challenge/problem) to be addressed
§ Define scope, existing and necessary inputs,
associated results and impacts, as well as
governance and communication/
dissemination strategy
§ Define possible system evolution (inside-in
to outside-out) and/or possible
(technological) solutions to challenge/
problem being addressed
§ Images and future trajectories ought to be
broad, including the development of
disruptive alternatives
§ Understand the context under analysis
(system and interrelationships, as
well as stakeholders,
including users)
§ Understand the relationship between
context and its evolution from the past
and future trends
§ Define criteria to prioritize solutions and/
or elements from diverse future
alternatives in order to devise a joint
vision or select the adequate solution(s)
to the problem/challenge at hand
§ Converge into a collective vision of the
future
§ Define a strategy and associated actions
to attain the defined vision and/or to build
resilence towards different future
alternatives and/or to develop and
implement selected solutions
§ Develop indicators to monitor evolution
and required adaptation
§ Define how expected results and
associated impacts should be evaluated
and monitored in time
§ Develop a workplan for implementation
detailing the key foresight aspects in each
phase, including the need to contract
consulting services
Intelligence
services for
ST&I
Shared
visions
Grand
Challenges
Technology
observatory
Knowledge
platform
• Strategic nature
• Complexity
• Diversity of opinions
• Reduction of
uncertainties
Processes to
accelerate decision-
making
• Tools and Methods
• Methodologies
• Automation
• Visualization
• Modularity and
flexibility
Slide 4
Pre-foresight
Information and Knowledge Management
Tools for the fast creation of taxonomies
based on a huge amount of information
coming from a large number of specialized sources
Ferramenta de monitoramento e
análise de dados
• Curva de Fontes e Tipos
Trend analysis
Strategic Evaluation
Tools for the monitoring and analysis of very large amounts of data over
time (week signals and emergency)
2007 2014
INCT on Climate Change – network evolution
2007 2014
INCT Pharmaceutical Innovations – network evolution
CIAT (729) – IITA (403) Organizations
Co-authorship
CIAT (729) – IITA (403) Authors (1rst aut.)
Bibliographic coupling (co-cite)
CIAT (729) – IITA (403) Authors
Co-citation (co-cited)
CIAT (729) – IITA (403) Sources
Co-citation (co-cited)
CIAT (729) – IITA (403) Cited refs
Co-citation
Terms
Terms
Technology Assessment
Social Network Analysis to identify talents and promote integrations
Network Analysis to Identify
Talents
• Lattes database with 4M registered curricula
• Curricula as nodes, co-authorships and semantic
similarities of academic production as edges
• Portrayal of the research networks
• Identification of main researchers, academic brokers
• and subject areas from large amounts of data
Relational analysis
Integrates global-local information
Qualitative and quantitave
framework
• Your goal
• Your task
• Your
question
Data
Collection
Network
Analysis
Interpretation
Intervention
• 584 nodes;
• 1510 vertices;
• 9 clusters
Knowledge
Management
Health
Artificial
Intelligence
Physics
Ecology
Software
Development
Data
Managemen
t
Electric
Engineering Network
Engineerin
g
Exploring Collaboration with RAND

Foresight and the CGIAR - Marcio de Miranda Santos

  • 1.
    Foresight and theCGIAR Views from the ISPC
  • 2.
  • 3.
    Slide 10 Abstract Real Understanding Creativityand Analysis Convergenceand Synthesis Realizationand Commitment Communication Research Demand &Scope Diagnosis Future Alternatives Priorization and Positioning Strategy and Actions Ex-ante evaluation and Implementation Implementation § Demand characterization – iidentify and define (fframe / reframe) question(s) (challenge/problem) to be addressed § Define scope, existing and necessary inputs, associated results and impacts, as well as governance and communication/ dissemination strategy § Define possible system evolution (inside-in to outside-out) and/or possible (technological) solutions to challenge/ problem being addressed § Images and future trajectories ought to be broad, including the development of disruptive alternatives § Understand the context under analysis (system and interrelationships, as well as stakeholders, including users) § Understand the relationship between context and its evolution from the past and future trends § Define criteria to prioritize solutions and/ or elements from diverse future alternatives in order to devise a joint vision or select the adequate solution(s) to the problem/challenge at hand § Converge into a collective vision of the future § Define a strategy and associated actions to attain the defined vision and/or to build resilence towards different future alternatives and/or to develop and implement selected solutions § Develop indicators to monitor evolution and required adaptation § Define how expected results and associated impacts should be evaluated and monitored in time § Develop a workplan for implementation detailing the key foresight aspects in each phase, including the need to contract consulting services
  • 4.
    Intelligence services for ST&I Shared visions Grand Challenges Technology observatory Knowledge platform • Strategicnature • Complexity • Diversity of opinions • Reduction of uncertainties Processes to accelerate decision- making • Tools and Methods • Methodologies • Automation • Visualization • Modularity and flexibility Slide 4
  • 5.
  • 7.
    Tools for thefast creation of taxonomies based on a huge amount of information coming from a large number of specialized sources
  • 8.
    Ferramenta de monitoramentoe análise de dados • Curva de Fontes e Tipos
  • 9.
  • 10.
    Tools for themonitoring and analysis of very large amounts of data over time (week signals and emergency)
  • 12.
    2007 2014 INCT onClimate Change – network evolution
  • 13.
    2007 2014 INCT PharmaceuticalInnovations – network evolution
  • 14.
    CIAT (729) –IITA (403) Organizations Co-authorship
  • 16.
    CIAT (729) –IITA (403) Authors (1rst aut.) Bibliographic coupling (co-cite)
  • 17.
    CIAT (729) –IITA (403) Authors Co-citation (co-cited)
  • 18.
    CIAT (729) –IITA (403) Sources Co-citation (co-cited)
  • 19.
    CIAT (729) –IITA (403) Cited refs Co-citation
  • 20.
  • 22.
  • 23.
  • 28.
    Social Network Analysisto identify talents and promote integrations
  • 29.
    Network Analysis toIdentify Talents • Lattes database with 4M registered curricula • Curricula as nodes, co-authorships and semantic similarities of academic production as edges • Portrayal of the research networks • Identification of main researchers, academic brokers • and subject areas from large amounts of data Relational analysis Integrates global-local information Qualitative and quantitave framework • Your goal • Your task • Your question Data Collection Network Analysis Interpretation Intervention
  • 30.
    • 584 nodes; •1510 vertices; • 9 clusters Knowledge Management Health Artificial Intelligence Physics Ecology Software Development Data Managemen t Electric Engineering Network Engineerin g
  • 31.