Strategic Intelligence Foresight in the Era of AI

This one-day interactive workshop will bring together professionals from government, NGOs, and the corporate sector to foster discussions on current practices, challenges, and opportunities at the intersection of strategic intelligence analysis and foresight based on scenarios.

Contact the Organizer

Together we will shape a vision of strategic intelligence foresight that informs policy and strategy.

Strategic Intelligence Foresight Workshop

December 5, 2024

9:00 AM - 4:45 PM

University of Southern California Capital Campus

1771 N Street NW, Washington, DC 20036

Participation

No Cost. By Invitation Only. No on-site registration or walk-ins.
In-person with no live streaming. Chatham House Rule and closed to the press.

Sponsored by

Workshop Agenda

8:45 AM – 9:00 AM
Session 1
Registration
9:00 AM – 9:10 AM
Session 1
Welcome and Introduction
9:10 AM - 10:00 AM
• Defining “Strategic Intelligence Foresight” and Envisioning the Future of Analysis
• Participant Roundtable Introductions and Expectations
10:00 AM - 10:30 AM
10:30 AM - 11:15 AM
Session 2
The Policy-Intelligence Interface: Where The Rubber Hits The Road
By Leon Fuerth - Former National Security Adviser
11:15 AM to 11:30 AM
Break
11:30 AM - 12:15 PM
Session 3
Applications of Strategic Intelligence Foresight: From Scenarios to Action
• National security policy and strategy development 
•Threat assessment, mitigation, and crisis preparedness 
• Corporate strategy and competitive intelligence
12:15 PM - 1:00 PM
Session 4
The Scenario Creation Process
• What makes scenarios useful, and for whom?
• Building blocks of scenarios
• How can AI improve the scenario generation and analysis process?
1:00 PM - 2:00 PM
Lunch Break
2:00 PM - 2:45 PM
Session 5
Managing and Utilizing a Portfolio of Scenarios
• Allocation of Resources: Prioritizing scenarios for analysis
• Stakeholder Involvement: Ensuring the right people are engaged
• Likelihood Assessment: Evaluating which scenarios are most probable
• Updating Scenarios: Adapting to current events and analysis
• Policy-Intel Use of Scenarios: Informing policy with futures analysis
2:45 PM - 3:15 PM
Session 6
Strategic Foresight and Fiscal Responsibility: Navigating America's Future Challenges
By the Honorable David M. Walker, Former U.S. Comptroller General
3:15 PM - 3:30 PM
Break
3:30 PM - 4:15 PM
Session 7
The Way Forward: Enhancing Foresight with AI
• Future Practices: How AI can further transform foresight
• Collaboration Opportunities: Building a community of practice among participants
• Participant Feedback: Collecting insights for future workshops
4:15 PM – 4:45 PM
Closing Remarks
• Summary of key takeaways
• Information on post-workshop actions and next steps

Meet the Organizers

With diverse backgrounds and expertise spanning technology, design, and business strategy, we bring a wealth of knowledge to the table.
David Kamien

CEO and Founder Mind-Alliance Systems

Editor, The McGraw-Hill Homeland Security Handbook. Member of NATO SAS-189 Anticipatory Intelligence for Strategic Decision Making

Sheila Ronis, PhD.

Instructor, The Ohio State University

Strategic foresight professional working with Leon Fuerth. Teaching at The Ohio State University. President of The University Group Partners

Greg Treverton, Ph.D.

Former Chair, U.S.
National Intelligence Council

Former Chair, U.S. National Intelligence Council; Chair, Global TechnoPolitics Forum; Professor of the Practice of International Relations and Spatial Sciences, University of Southern California

Glossary of Terms

View all ->

Actionable Intelligence

Information that is timely, relevant, and directly supports decision-making and responses to both immediate and long-term threats or opportunities.

Anticipatory Governance

A governance framework that integrates foresight into policy-making to proactively address long-term challenges, emerging threats, and complex uncertainties.

Backcasting

A planning technique that starts with defining a desired future outcome and works backward to determine the steps necessary to achieve that outcome. Unlike forecasting, which projects forward based on current trends, backcasting envisions a target state and explores ways to reach it.

Backcasting Timeline

A tool used in backcasting to create a step-by-step timeline of milestones that need to be achieved to reach a desired future outcome. This timeline helps organizations visualize the path from the present to their future goals, ensuring a clear action plan.

Change Drivers

Internal or external forces that shape trends and influence the development of an organization, industry, or society. Change drivers can include technological advancements, regulatory shifts, cultural changes, and new market demands.

Complex Environments

Situations characterized by numerous interconnected factors, high uncertainty, and rapid changes make strategic planning and decision-making challenging.

Discontinuities

Breaks or deviations from established trends that represent significant shifts in the status quo. Discontinuities can be unexpected accelerations, slowdowns, or complete reversals of trends, often acting as catalysts for major changes.

Drivers

Underlying factors that influence the direction of future developments, including economic, social, political, technological, and environmental trends.

Emergence Drivers

Factors that push a system toward change by creating new possibilities or opportunities. Emergence drivers are often associated with new technologies, shifts in societal values, or unexpected innovations that open up new pathways for development.

Emerging Issues Analysis

The identification and examination of new issues or phenomena that have the potential to shape future developments. Emerging issues are often at an early stage but can signal important shifts that organizations need to monitor.

Emerging Threats

New or evolving risks could pose significant challenges to national security, stability, or other critical areas of concern, requiring proactive attention.

Entropy Drivers

Factors that contribute to the disorder and inefficiency within a system, driving change by creating pressure on existing structures. Entropy drivers are often related to outdated processes, unsustainable practices, or accumulated inefficiencies that push a system toward transformation.

Forecasting

Statistical models, data analysis, and expert judgment are used to make probabilistic predictions about specific future events or trends within a defined timeframe.

Foresight

A systematic approach to anticipating and planning for the future. Foresight involves exploring possible, probable, and preferable futures by analyzing trends, drivers, and uncertainties. It allows organizations to proactively shape their future rather than merely reacting to changes.

Futures Thinking

The practice of exploring and analyzing multiple possible futures to understand uncertainties and prepare for emerging trends and potential disruptions.

Horizon Scanning

The systematic examination of potential threats, emerging issues, and opportunities that could impact an organization in the future. Horizon scanning aims to identify weak signals and early signs of significant changes that could affect future developments.

IARPA’s Good Judgment Project

A research initiative sponsored by the Intelligence Advanced Research Projects Activity (IARPA) that utilizes forecasting tournaments and collective intelligence to enhance the accuracy of predictions about geopolitical events.

Institutional Incentives

Internal motivations, rewards, or pressures within an organization influence behaviors, shaping priorities, resource allocation, and the adoption of new methodologies.

Intelligence

Collecting, analyzing, and interpreting information to understand current and future threats and opportunities, supporting decision-making in national security, corporate strategy, or other strategic contexts.

Johari Window

A conceptual model originally developed in psychology to help individuals better understand their relationships with others. In foresight, the Johari Window is adapted to map knowledge about the future, categorizing what is known and unknown. It includes four quadrants: Known-Knowns, Known-Unknowns, Unknown-Knowns, and Unknown-Unknowns.

Long Tail

A concept describing the vast array of low-probability, high-impact events that, while individually unlikely, collectively represent significant sources of risk or opportunity.

Long-Term Strategic Insights

Profound understandings or perspectives derived from foresight activities that anticipate developments over extended time horizons, informing strategic planning beyond immediate concerns.

Megatrends

Long-term, large-scale change developments that affect economies, societies, and cultures at a global level. Megatrends often unfold over decades and have a widespread impact. Examples include climate change, urbanization, digital transformation, and aging populations.

PESTLE Analysis

A strategic tool used to identify and analyze external factors that could impact an organization. PESTLE stands for Political, Economic, Social, Technological, Legal, and Environmental. This framework helps in categorizing change drivers and understanding the broader external context of future planning.

Proactive, Anticipatory Approach

A forward-looking strategy that involves initiating actions based on insights into potential future developments, enabling organizations to navigate uncertainties effectively rather than merely reacting to events as they occur.

Probabilistic Predictions

Predictions that assign probabilities to the likelihood of specific events or outcomes are commonly used in forecasting to assess future risks and inform decision-making.

Qualitative Scenarios

Narrative descriptions of possible future states are used in foresight to explore broad developments, risks, and opportunities, emphasizing qualitative insights over precise probabilities.

Quantitative Assessments

Evaluations based on numerical and statistical data provide precise predictions about specific future events, trends, or variables.

Quasi-Forecasts

Projections that mimic traditional forecasts but are heavily based on current intelligence, potentially limiting their ability to account for future uncertainties and low-probability events.

Reassembling Phase

The period that follows a major societal disruption, during which new structures, organizations, and processes are formed. This phase is characterized by the rebuilding of order and the emergence of new systems to replace those that have become obsolete.

Resilience

The capacity of an organization or system to adapt, recover, maintain, or quickly restore functionality amid unexpected disruptions, adverse conditions, or complex challenges.

S-curve Analysis

A model used to describe the typical lifecycle of trends, where growth starts slowly, accelerates, and then eventually plateaus. Understanding where a trend is on its S-curve helps in predicting its future trajectory and potential impact.

Scenario Adaptation

The process of modifying scenarios based on new information or changing conditions. Scenario adaptation ensures that scenario planning remains relevant and up-to-date as the external environment evolves.

Scenario Building Matrix

A visual representation used in scenario planning to organize and develop different scenarios based on key uncertainties or change drivers. It helps to systematically explore the implications of different combinations of factors.

Scenario Narratives

Detailed descriptions of how specific scenarios might unfold. These narratives help in visualizing different future states, making abstract scenarios more tangible and relatable. Scenario narratives are often crafted using storytelling techniques to engage stakeholders.

Scenario Planning

A strategic tool used to develop and analyze different plausible future scenarios to prepare an organization for potential changes. Scenario planning challenges assumptions and helps in assessing the impact of various uncertainties on strategic decisions. It emphasizes creating narratives of different futures based on key uncertainties and change drivers.

Scenario Stress-Testing

The process of evaluating existing strategies or plans against multiple future scenarios to assess their resilience and adaptability. This technique helps identify potential weaknesses or risks in a strategy when faced with different possible futures.

Science Fiction Prototyping

A creative foresight method that uses speculative storytelling to envision future technologies, societal changes, and their implications. It helps organizations think beyond current limitations and explore transformative possibilities.

Stakeholder Analysis in Scenario Planning

The process of identifying and understanding the roles and interests of different stakeholders in relation to future scenarios. This analysis helps to ensure that all relevant perspectives are considered in scenario development.

Strategic Foresight

A structured process of using foresight tools to help organizations understand and navigate long-term uncertainties. It includes the analysis of trends, scenarios, and emerging changes to improve decision-making. Strategic foresight is often applied in both business and public policy to guide strategy formulation.

Trend Impact Analysis

A method used to assess the potential future impact of current trends by evaluating how they might develop and interact over time. Trend Impact Analysis helps organizations anticipate changes and adapt strategies accordingly.

Visionary Methods

Techniques used to imagine radically different futures that go beyond the probable or plausible, often incorporating creative approaches like science fiction prototyping. Visionary methods are particularly useful for exploring unknown-unknowns.

VUCA

An acronym that stands for Volatile, Uncertain, Complex, and Ambiguous. It describes the challenging nature of the environment in which strategic foresight is conducted. Scenario planning and foresight tools help organizations navigate VUCA conditions by preparing for multiple possible futures.

Weak Signals

Early and ambiguous indicators of potential future changes, often characterized by their nascent nature and low visibility. Weak signals, if correctly interpreted, provide early warnings of possible future disruptions or opportunities.

Wild Cards

Low-probability, high-impact events that could significantly alter the future trajectory of trends or scenarios. Examples include natural disasters, financial crises, or revolutionary technological breakthroughs. Wild cards are crucial in scenario planning to help organizations prepare for unexpected disruptions.

Zeitgeist

A German term meaning "spirit of the age" or the prevailing cultural, intellectual, or social mood of a particular time period. In foresight, understanding the zeitgeist is crucial to recognizing the driving values and attitudes that shape societal behavior and future trends.

Recommended Readings

View all ->

Barben, D., Fisher, E., Selin, C., & Guston, D. H.

Anticipatory Governance: Practical Upgrades

2009

Emerald Group Publishing Limited

Brundage, Miles, et al.

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

2018

Future of Humanity Institute

Brynjolfsson, Erik, & McAfee, Andrew

The Business of Artificial Intelligence: What It Can—and Cannot—Do for Your Organization

2017

Harvard Business Review

Cuhls, Kerstin

Mental Time Travel in Strategic Foresight

2020

Technological Forecasting and Social Change

Fuerth, L.S.

Foresight and anticipatory governance

2009

Foresight

Fuerth, Leon S.

Anticipatory Governance: Practical Upgrades. The Project on Forward Engagement

2009

The George Washington University

Fuerth, Leon S., & Faber, Evan M. H.

Anticipatory Governance: Practical Upgrades—Equipping the Executive Branch to Cope with Increasing Speed and Complexity of Major Challenges

2012

The Project on Forward Engagement

Gentry, John A., & Gordon, Joseph S.

Strategic Warning Intelligence: History, Challenges, and Prospects

2019

Georgetown University Press

Geurts, A., Gutknecht, R., Warnke, P., Goetheer, A., Schirrmeister, E., Bakker, B., & Meissner, S.

New perspectives for data-supported foresight: The hybrid AI-expert approach

2022

Futures & Foresight Science

Habegger, Beat

Securing the Future: The Use of Strategic Foresight in the Security Sector

2022

Geneva Centre for Security Policy

Heuer, Richards J., Jr.

Psychology of Intelligence Analysis

1999

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Kamien, D.

An introduction to strategic foresight for law firms

2023

ILTA

Kamien, David G

The McGraw-Hill Homeland Security Handbook: Strategic Guidance for a Coordinated Approach to Effective Security and Emergency Management

2012

McGraw-Hill

Kamien, David,

MindCollect: An Information Needs Management System for Coalition Situational Awareness, Sensemaking, Decision Making, and Mission Integration

2016

ICCRTS-KSCO 2016 Conference

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Words of Estimative Probability

1964

Studies in Intelligence

Kuosa, T.

Towards Strategic Intelligence : Foresight, Intelligence, and Policy-Making

2014

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Identifying and Cultivating Superforecasters as a Method of Improving Probabilistic Predictions

2015

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Advantages and Disadvantages of Scenario Approaches for Strategic Foresight

2005

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2023

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Supporting decision making with strategic foresight: An emerging framework for proactive and prospective governments

2032

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National Research Council

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OECD

Tackling Policy Challenges Through Public Sector Innovation: A Strategic Portfolio Approach

2023

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2016

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1995

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2024

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The Black Swan: The Impact of the Highly Improbable

2007

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Reshaping National Intelligence for an Age of Information

2001

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What Should We Expect of Intelligence

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Central Intelligence Agency

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