2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Overview of Foresight Methods Dr. Michael Keenan.

Slides:



Advertisements
Similar presentations
Strategic Planning Process: An Overview
Advertisements

Systemic Foresight Methodology
Problem solving skills
World Water Scenarios 2012 – 2035 William J Cosgrove & Gilberto Gallopin Chicago 17 July 2009.
Intelligence Step 5 - Capacity Analysis Capacity Analysis Without capacity, the most innovative and brilliant interventions will not be implemented, wont.
Education Policy Advocacy Objectives: 1.To learn why advocacy is one of the roles of CSOs. 2.To learn the process for developing an effective strategic.
Module 4 Planning SP. What’s in Module 4  Opportunities for SP  Different SP models  Communication plan  Monitoring and evaluating  Working session.
MINISTRY OF DEVOLUTION AND PLANNING. M&E DEPARTMENT WELIME Using Technology in Monitorin g and Evaluation (e-ProMIS)
Results-Based Management: Logical Framework Approach
Risk Management Chapter 7.
Planning and Strategic Management
Building the Knowledge Base
Problem Analysis Intelligence Step 2 - Problem Analysis Developing solutions to complex population nutrition problems (such as obesity or food insecurity)
Title slide PIPELINE QRA SEMINAR. PIPELINE RISK ASSESSMENT INTRODUCTION TO RISK IDENTIFICATION 2.
Copyright ©2015 Pearson Education, Inc Strategy Review, Evaluation, and Control Chapter Nine 9-1.
The Risk Management Process
CONTACT SEMINAR November 2008 Project management tools.
An Approach to Case Analysis
Science and Engineering Practices
FAO/WHO CODEX TRAINING PACKAGE
Urban-Nexus – Integrated Urban Management David Ludlow and Michael Buser UWE Sofia November 2011.
CASE STUDIES IN PROJECT MANAGEMENT
Prof. A. Taleb-Bendiab Room 605 A. Taleb-Bendiab, Module: Research Methods,
Territorial Impact Assessment of Governance of Territorial and Urban Policies in ESPON Space ESPON PROJECT 2.3.2: GOVERNANCE OF TERRITORIAL AND URBAN POLICIES.
Project Risk Management. The Importance of Project Risk Management Project risk management is the art and science of identifying, analyzing, and responding.
Decision-Making In Project Management Decision Framing Intaver Institute Inc. 303, 6707, Elbow Drive S.W, Calgary, AB, Canada Tel: +1(403) Fax:
Chapter 11: Project Risk Management
Mark Piekarz, Ian Jenkins and Peter Mills
Strategy Review, Evaluation, and Control Chapter Nine.
Evaluation methods and tools (Focus on delivery mechanism) Jela Tvrdonova, 2014.
QER SMT Scenario Planning Workshop by Professor Ron Johnston 28 April 2009 Brisbane.
Project design & Planning The Logical Framework Approach An Over View Icelandic International Development Agency (ICEIDA) Iceland United Nations University.
Semester 2: Lecture 9 Analyzing Qualitative Data: Evaluation Research Prepared by: Dr. Lloyd Waller ©
Methods and Tools Contributing to FTA Annele Eerola VTT Technical Research Centre of Finland Ian Miles University of Manchester, UK Third International.
Management & Development of Complex Projects Course Code MS Project Management Perform Qualitative Risk Analysis Lecture # 25.
Advancing foresight methodology through networked conversations Ted Fuller Peter De Smedt Dale Rothman European Science Foundation COllaboration in Science.
WP 3: Scenarios and management objectives Simo Sarkki & Timo P. Karjalainen GOHERR: Kick-off April.
ESPON 2013 Programme Info Day on New Calls and Partner Café Call for Proposals on Applied Research.
Mysoltani.ir سایت فیلم روشهای مشارکتی Technology Foresight Foresight is about preparing for the future. It is about deploying resources in the best.
FNR Foresight: Evaluating Phase 1 and Prospects for Phase 2 Dr. Michael Keenan PREST, University of Manchester, UK FNR Foresight Workshop Luxembourg, 16.
An overview of multi-criteria analysis techniques The main role of the techniques is to deal with the difficulties that human decision-makers have been.
Environment analysis has 3 basic objectives-  Under taking of current & potential changes.  Should provide inputs for strategic decision making.  Rich.
THE REGIONAL ENVIRONMENTAL CENTER for Central and Eastern Europe Integrated planning and Assessment of National Development Plan of the Czech Republic.
Market Research & Product Management.
Part 2 Foresight studies
SELF-RULE FTA Seminar Seville / Spain Our Website
Project Risk Management Planning Stage
The Risk Management Process
Forward Thinking Series 2015 Summary of key themes – a road map for the future of sport in Victoria.
1.6 Organisational planning and decision making By the end of the lesson, you should be able to: Analyse and interpret business plans Compare and contrast.
Linking SEA and City Development Strategy (CDS) in Vietnam Maria Rosário Partidário, Michael Paddon, Markus Eggenberger, Minh Chau, and Nguyen Van Duyen.
Project Overview and Scenario Process Prof. Malcolm Eames 6 October 2011.
Technology Forecasting. Forecasting predict or estimate a future event or trend. "rain is forecast for Lahore“ The use of historic data to determine the.
Foresight methodology& commonly used methods. The context of Foresight: STEEPV V E P E T S Systemic Foresight.
By Dr. Talat AnwarAdvisor Centre for Policy Studies, CIIT, Islamabad Centre for Policy Studies, CIIT, Islamabad
First International Capacity Building Workshop in Romania - January 26, 2004, Bucharest 1 International Workshop on FORESIGHT Bucharest, Romania – January.
G IOVANNA G IUFFRE ’, ISIS - S CENARIO BUILDING AND OUTLOOK OF THE PROJECT FRESHER WORKSHOP LISBON, 26 O CTOBER 2015.
First International Capacity Building Workshop in Romania - January 26, 2004, Bucharest 1 International Workshop on FORESIGHT Bucharest, Romania – January.
Strategic Formation Process
Principles of Management Learning Session # 20 Dr. A. Rashid Kausar.
Strategic Planning for Learning Organizations
MODULE 11 – SCENARIO PLANNING
CHAPTER11 Project Risk Management
Future Studies (Futurology)
Professor John Ratcliffe, Dr Ela Krawczyk, Dr Ruth Kelly
Technology Planning.
SELF-RULE Our Website FTA Seminar Seville / Spain.
Scientific forecasting
Environmental forecasting
Strategy Review, Evaluation, and Control
Presentation transcript:

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Overview of Foresight Methods Dr. Michael Keenan PREST, University of Manchester, UK With special thanks to Rafael Popper for use of some of his slides

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Overview  Why use formal foresight methods?  Selection criteria for foresight methods  Types of methods, and types of typology!  Sequencing methods  Concluding remarks

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Why use formal methods?  Make the foresight process more systematic  Increase transparency of processes  Aid creativity  Constitute space for communication and interaction  Aid visualisation of possible futures

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Selection criteria  Available resources (time, money... )  Nature of desired participation  Suitability for combination with other methods  Desired outputs of a foresight exercise (e.g. product vs. process)  Quantitative / Qualitative data requirements of methods  Methodological competence often a key factor

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Four key distinctions  Exploratory (outward bound) vs. Normative (inward bound) approaches  Quantitative vs. Qualitative approaches  Methods for different stages / tasks in foresight  Methods for fostering Creativity, Evidence, Interaction, Expertise

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Exploratory Methods [1] Given what we understand about the present, what would we expect to happen if this event happened, this trend developed? Alternative futures resulting from the different “histories” WHAT IF…?

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan  Exploratory methods essentially begin from the present, and see where events and trends might take us  They begin with the present as the starting point, and move forward to the future, either on the basis of extrapolating past trends or causal dynamics, or else by asking “what if?” questions about the implications of possible developments or events that may lie outside of these familiar trends.  Among exploratory tools there are Trend, impact, and cross- impact analyses, conventional Delphi, and some applications of models Exploratory Methods [2]

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Normative methods Desirable future Other more realistic futures PRESENT HOW?

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan  Normative methods ask what trends and events would take us to a particular future or futures.  They start with a preliminary view of a possible (often a desirable) future or set of futures that are of particular interest.  They then work backwards to see if and how these futures might or might not grow out of the present – how they might be achieved, or avoided, given available constraints, resource and technologies.  The tools used here include various techniques developed in planning and related activities, such as relevance trees and morphological analyses  A fairly recent development is the use of “success scenarios” and “aspirational scenario workshops”, where participants try to establish a shared vision of a future that is both desirable and credible, and to identify the ways in which this might be achieved. Normative methods [2]

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Quantitative methods [1]  Quantitative methods rely on numerical representation of developments, data that have been mathematically processed, extrapolation of trends  They allow to examine rates and scales of change but they limit the understanding of many important social and political variables  It might be more difficult to communicate results (tables and graphs) to less numerate audiences  Quantitative data may come from statistical sources, or be the products of expert judgement. For instance, in cross-impact studies experts make estimates about the probability of developments; in Delphis, the data we work with derive from the numbers of people agreeing with particular statements or forecasts

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan  Disadvantages –Some issues are difficult to represent in numerical terms –The quantifiable elements of a phenomenon do not necessarily represent its essence –Too restricted to concepts and indicators, rarely probe the dynamics of a phenomenon –Some of the advanced statistical methods and modelling techniques have a high degree of complexity that can be difficult to understand Quantitative methods [2]

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Qualitative methods  Qualitative methods are often employed where the key trends or developments are hard to capture via simplified indicators, or where such data are not available.  Useful to stimulate creativity and intuition; essential for engagement and dialogue  The outcomes are illustrations that describe complex processes and interaction among variables

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Z_punkt Corporate Foresight Toolbox Monitoring Recognising Relevant Trends. Analysis Understanding Drivers of Change. Projection Anticipating the Future. Transformation Draw Implications for Business. Weak Signals Environmental Trends Consumer/ Industry Trends Z_trend database Basic Process Toolbox Key Factors Emerging Issues Wild Cards Customer Foresight Scenarios Roadmaps Creative Processes /Workshops Innovation Contexts Strategic Management New Business Development Portfolio Innovation

Modelling Extrapolation Indicators Benchmarking Quantitative (6) Cross-impact Bibliometrics Methods Creativity InteractionExpertise Evidence Science fiction Scanning Brainstorming Essays / Scenario writing Conferences / Seminars Wild cards SWOT analysis Expert Panels Genius forecasting Scenario workshop Morphological analysis Interviews Literature review Citizen Panels Relevance trees / Logic charts Backcasting Role Play/Acting R. Popper (2006) Roadmapping Quantitative Scenarios/SMIC Delphi System/Structural analysis Voting / Polling Gaming-simulation Stakeholders Mapping Key/Critical technologies Multi-criteria Patent analysis Qualitative (17) Semi-quantitative (10) Creativity

Scanning Delphi Wild Cards Citizen panels Expert panels SWOT Methodology 1 SWOT analysis Wild cards Citizen Panels Expert PanelsDelphi Sequencing methods – example 1

Scanning Delphi Wild Cards Citizen panels Expert panels SWOT Methodology 1 Scanning: detailed analysis of main issues around a particular sector/theme of study (sub-contracted). Delphi: large-scale exploratory study assessing the likeliness of occurrence and possible impacts of main issues highlighted by the scanning activity. Wild-cards: workshop-type activity aimed at the identification of possible events which may challenge the occurrence of ‘highly probable’ situations. Citizen Panels: conference-type activity aimed to identify major public concerns on critical issues. Expert panels: reduced group of key stakeholders looking at future implications of main findings. SWOT: internal activity (possibly desk-work) aimed at synthesising outcomes in terms of current strengths and weaknesses as well as future opportunities and threats. Sequencing methods – example 1

SWOT Expert panels Citizen panels Wild Cards Delphi Scanning SWOT analysis Expert Panels Delphi Wild cardsCitizen Panels Scanning Methodology 2 Sequencing methods – example 2

SWOT: large-scale activity (e.g. workshop) aimed at the identification of strengths, weaknesses, opportunities and threats related to a sector / theme / technology / etc. Expert panels: groups of experts looking at future implications of SWOT findings and clustering main issues into broader dimensions, such as social, technological, economic, …, etc. Citizen Panels: regional task forces contextualising main issues and evaluating public acceptance. Wild-cards: internal activity aimed at the identification of disruptive events and situations. Delphi: large-scale normative study aimed at the formulation of policy recommendations. Scanning: internal activity aimed to identify the success or failure of similar policy recommendations being implemented in comparable contexts, and better informing decision-making. SWOT Expert panels Citizen panels Wild Cards Delphi Scanning Methodology 2 Sequencing methods – example 2

Brainstorming Scanning SWOT Delphi Roadmaps Scenarios Brainstorming Scanning SWOT analysisDelphiRoadmappingEssays / Scenario writing Methodology N-1 Sequencing methods – example 3

Brainstorming: large-scale activity aimed to identify key issues around particular dimensions (e.g. social, technological, economic, environmental, political, values). Scanning: a desk-research activity aimed to describe and expand the most relevant ideas emerging from the brainstorm exercise. SWOT: a workshop with approx. 20 experts from each of the following sectors (public, private and academic). Delphi: an exercise targeting a selected group of experts assessing the stage of development of particular technologies. Roadmaps: a panel-based activity looking at market needs and potential linkages between products and technologies. Scenarios: same panel elaborating a vision of a desirable and feasible aspirational future. Brainstorming Scanning SWOT Delphi Roadmaps Scenarios Methodology N-1 Sequencing methods – example 3

Scenarios Roadmaps Delphi SWOT Scanning Brainstorming Essays / Scenario writing Brainstorming Scanning SWOT analysisDelphi Roadmapping Methodology N Sequencing methods – example 4

Scenarios: 1 business as usual, 1 negative and 1 positive scenario (desk-research or genius forecast). Roadmaps: 3 workshops with targeted experts preparing time- line and discussing market needs for each scenario. Delphi: a large-scale activity aiming to identify STEEPV impacts of suggested ‘action plans’ resulting from the roadmapping activities. SWOT: internal activity looking at the strengths, weaknesses, opportunities and threats of suggested ‘action plans’. Scanning: a parallel process (possibly outsourced) mapping the market penetration of products and services connected to technological developments characterising initial scenarios. Brainstorming: structured workshops with key stakeholders willing to identify new cooperation and collaboration instruments and exploit existing ones. Scenarios Roadmaps Delphi SWOT Scanning Brainstorming Methodology N Sequencing methods – example 4

Scanning SWOT DelphiWild CardsCitizen panelsExpert panels SWOT Scanning Expert panelsCitizen panelsWild CardsDelphi Brainstorming Scenarios ScanningSWOTDelphiRoadmaps Scenarios Brainstorming RoadmapsDelphiSWOTScanning Methodology 1 Methodology 2 Methodology N-1 Methodology N Sequencing methods – summaries

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Summary remarks  There are good reasons for using formal methods  Multiple criteria are used for selecting methods  No easy classification – methods are rather versatile in how they may be used and combined together  Consequently, there are no recipe books for doing foresight – different combinations are likely to be needed for different circumstances

2006 Technology Foresight Training Programme Module 1: Technology Foresight for Organizers Michael Keenan Thanks! Questions and comments?