1 UNCERTAINTY AND ORGANIZATIONAL BEHAVIOR IN SCIENCE AND TECHNOLOGY POLICY: APPLICATIONS FOR DEVELOPMENT Royce A. Francis Department of Engineering and.

Slides:



Advertisements
Similar presentations
Ability-Based Education at Alverno College. Proposed Outcomes for Session 1. To introduce you to Alvernos approach to designing integrative general education.
Advertisements

INEE Conflict Sensitive Education Pack Photo by Stacy Hughes ©
Study Objectives and Questions for Observational Comparative Effectiveness Research Prepared for: Agency for Healthcare Research and Quality (AHRQ)
 Joined-up governance describes a strategy that aims to coordinate the development and implementation of fundamental rights across government structures.
S3-1 © 2001 Carnegie Mellon University OCTAVE SM Process 3 Identify Staff Knowledge Software Engineering Institute Carnegie Mellon University Pittsburgh,
1 Water and Health In Africa Dr. Narciso Matos, Executive Director, Foundation for Community Development, Mozambique Keynote address at the Third Annual.
Collaborative Management and Multi Party Stakeholder Negotiation Rosemary O’Leary, Distinguished Professor The Maxwell School of Syracuse University April.
S2-1 © 2001 Carnegie Mellon University OCTAVE SM Process 2 Identify Operational Area Management Knowledge Software Engineering Institute Carnegie Mellon.
© 2001 by Carnegie Mellon University PPA-1 OCTAVE SM : Participants Briefing Software Engineering Institute Carnegie Mellon University Pittsburgh, PA
NOTES TO ANDERSON, CHAPTERS 3 PROFESSIONAL WRITING.
Lessons Learned in Initiating and Conducting Risk Assessments within a Risk Analysis Framework: A FDA/CFSAN Approach Robert Buchanan DHHS Food and Drug.
National Cohesive Wildland Fire Strategy 1. What is the Cohesive Strategy? A national, collaborative approach to addressing wildland fire across all lands.
PHILOSOPHICAL DISAGREEMENT Heisenberg Causality law has it that if we know the present, then we can predict the future. Be aware: in this formulation,
Occur when a societal condition is improved due to a participant’s action taken in the previous column. For example, specific contributions to: - Increased.
Competing Theories of the Policy Process
Rodney E. Stanley, Ph.D. Associate Professor & Chair Department of Public Administration College of Public Service & Urban Affairs Tennessee State University.
Proposed NSF Center on Climate Decision Making Carnegie Mellon University 1 Climate and Related Decision Making in the Face of Irreducible Uncertainties.
European Territorial Cooperation Sustainability Transferability Capitalisation Pietro Celotti EIPA European Instituto of Public Administration 11 December.
Competency Assessment Public Health Professional (2012)-
Introduction to Theories of Public Policy Decision Making Activities.
1 Building Strong! THE ECONOMIST’S ROLE Ken Claseman Senior Policy Advisor for Economics Office of Water Project Review HQUSACE
Lecture IntentLecture Intent  Position my scholarship within ideas and streams introduced in seminar to this point  Provide initial introduction to.
Global design Natasha Vita-More FUTURE. IMPACT Design is one way to build and guide the impact of curative technologies that will have enormous impact.
Environmental Impact Assessment (EIA): Overview
How could the development of a common conceptual framework improve humanitarian action? Dr Edith Favoreu DIHAD 12th Edition
Cost-Benefit & Risk Analysis in Public Policy
VERMONT Results of the GO PROSPER Survey Round 1, Fall 2010 PROmoting School-community-university Partnerships to Enhance Resilience.
Classroom experiences are consistently characterized by surprising, emergent behavior and high quality discussions. Issues concerning leadership, transparency,
A Short Guide to Action Research 4 th Edition Andrew P. Johnson, Ph.D. Minnesota State University, Mankato
© 2001 Carnegie Mellon University S8A-1 OCTAVE SM Process 8 Develop Protection Strategy Workshop A: Protection Strategy Development Software Engineering.
University of Texas Medical Branch, Galveston, TX November 30, 2009 Edward A Emmett MD University of Pennsylvania School of Medicine The Little Hocking.
BIFZ WFDSS What has Worked well….RCA Casey O’Connor—BIFZ Risk Complexity Analysis Feeding WFDSS Relative Risk (RR) and Organizational Assessment (OA) RCA.
1.  Policy Cycle  Government actors - incentives  Interest Groups  Interests  Resources  Strategies 2.
Division Of Early Warning And Assessment MODULE 5: PEER REVIEW.
7 CHAPTER.
Environmental Management System Definitions
Policy Change Processes Experiences of WASSAN. Some Common Approaches in Policy Change Processes Lobbying for policy change through struggles and people’s.
Risk Management (I) Jeffrey Gilbert EcoZD coordinator EcoHealth Workshop, CENPHER, Hanoi 2013 Ecosystem Approaches to the Better Management of Zoonotic.
FAOCGIARWMO. How will Global Environmental Change affect the vulnerability of food systems in different regions? How might food systems be adapted to.
Methodological Framework for the Assessment of Governance Institutions P. Diaz and A. Rojas PFRA Workshop, March 17, 2006.
The NCATE Journey Kate Steffens St. Cloud State University AACTE/NCATE Orientation - Spring 2008.
Decision making. Types of decision Programmed decisions Non-programmed decisions.
The Scientific Method. Objectives Explain how science is different from other forms of human endeavor. Identify the steps that make up scientific methods.
Priorities, Goals, Metrics and Reality: How will the USCCSP contribute to policy and decision making? Ryan Meyer; Consortium for Science Policy and Outcomes;
Systematic Review: Interpreting Results and Identifying Gaps October 17, 2012.
University of Kurdistan Artificial Intelligence Methods (AIM) Lecturer: Kaveh Mollazade, Ph.D. Department of Biosystems Engineering, Faculty of Agriculture,
Mining and Oil Faculty Department of Oil and Gas Technologies Master program Technology of Oil Fields Development.
Research for Nurses: Methods and Interpretation Chapter 1 What is research? What is nursing research? What are the goals of Nursing research?
International Atomic Energy Agency Regulatory Review of Safety Cases for Radioactive Waste Disposal Facilities David G Bennett 7 April 2014.
WATER MANAGEMENT STRATEGY AND OPTIONS IDENTIFIED.
DEVELOPING THE WORK PLAN
Important Figures in the Development of the Philosophy of Science in the Twentieth Century Important Figures in the Development of the Philosophy of Science.
New Mexico State University Land-Grant System Accountability: Learning from the CSREES Portfolio Review Process Steven Loring Assistant Director Agricultural.
S ystems Analysis Laboratory Helsinki University of Technology 1 Decision Analysis Raimo P. Hämäläinen Systems Analysis Laboratory Helsinki University.
Rey Ty Levels of Analysis Rey Ty. Three Models (Graham Allison) Model I: Classical Rational Actor Model (RAM) Realism & Neorealism: Morgenthau, Schelling,
Civil Contingencies Act and Risk Management ALARM South East 11 th MAY 2005 Prepared by Carolyn Halpin Chairman ALARM, t he National Forum for Risk Management.
Capacity Development Results Framework A strategic and results-oriented approach to learning for capacity development.
Ms.Monika Dey.  Economics is a social science. Its basic function is to study how people—individuals, households, firms and nations—maximise their gains.
Module 2 Public Administration: An Indispensable Part of Society PANM 402 Dr. Vanessa Littleton.
The Policy Process: Decision-Making
- The concept of political culture provides a new name for one of the oldest subject of concern in political science. - Political culture as a concept.
FACULTY OF LAW, UNIVERSITY OF OSLO The principle of integration and its dilemmas Hans Chr. Bugge Professor of Environmental Law University of Oslo.
EXPERIENCE REASONING RESEARCH DEDUCTIVE AND INDUCTIVE REASONING Deductive Reasoning (Top-Down Approach) Deductive reasoning works from the more general.
4. INFORMATION, MANAGEMENT
Crisis management related research at
Structured Decision Making for Environmental Applications
CSU/Riverside Global Water & Climate Initiative
Social impacts and coastal louisiana
The Value of Twisting the Lion’s Tail: How the Design of Policy Experiments Impact Learning Outcomes for Adaptation Governance. Belinda McFadgen, PhD researcher,
4. INFORMATION, MANAGEMENT
Presentation transcript:

1 UNCERTAINTY AND ORGANIZATIONAL BEHAVIOR IN SCIENCE AND TECHNOLOGY POLICY: APPLICATIONS FOR DEVELOPMENT Royce A. Francis Department of Engineering and Public Policy Carnegie Mellon University Pittsburgh, PA USA Prepared for: PIA 2501 Development Policy and Administration 1 November 2006

2 My Background  Howard University  B.S. Civil Engineering  Carnegie Mellon University  M.S. Civil and Environmental Engineering  Ph.D. Engineering and Public Policy (expected 2008)  Research Interests  Drinking water policy, water distribution system modeling, exposure assessment and risk characterization, evidence synthesis, infrastructure investment and risk assessment

3 Objectives  Identify the role of uncertainty in science and technology (S&T) policy problems  Discuss three organizational structure models, and their place in addressing uncertainty and formulating S&T policy

4 Outline  Introduce uncertainty as a concept  Discuss trans-scientific nature of policy problems  Present alternative organizational structure models  Introduce use of “sound science” in decision-making using examples  Generalize conclusions about uncertainty and organizational structure in development

5 Outline  Introduce uncertainty as a concept  Discuss trans-scientific nature of policy problems  Present alternative organizational structure models  Introduce use of “sound science” in decision-making using examples  Generalize conclusions about uncertainty and organizational structure in development

6 “What is uncertainty?” “Uncertainty is what we don’t know about what we think we know…”  Morgan and Henrion (1990)  Uncertainties in policy very important, reported in exceptional analyses  Physical scientists are required to report their uncertainties; thus, policy analysts should be as well  Uncertainty is critical in S&T policy

7 Outline  Introduce uncertainty as a concept  Discuss trans-scientific nature of policy problems  Present alternative organizational structure models  Introduce use of “sound science” in decision-making using examples  Generalize conclusions about uncertainty and organizational structure in development

8 “What is science?”  Three lines of thought  Karl Popper “Science: Conjectures and Refutations”  Thomas Kuhn “The Structure of Scientific Revolutions”  Alvin Weinberg “Science and Trans-Science”  “Science” is guarded by a community  Policy analysis is often a mixture of Weinberg and Kuhn  Guiding assumptions and theories often non-falsifiable  Often, they emanate from dominant paradigm

9 Reconciling policy with reality: Fields of S&T Policy Research  Benefit-cost analysis and/or decision analysis  Uncertainty analysis and/or sensitivity analysis  Risk assessment, characterization, and communication Most conflicts arise in policy formulation due to utility- maximization paradigm

10 Outline  Introduce uncertainty as a concept  Discuss trans-scientific nature of policy problems  Present alternative organizational structure models  Introduce use of “sound science” in decision-making using examples  Generalize conclusions about uncertainty and organizational structure in development

11 Organizational Structure Models  Adapted from Allison and Zelikow, 1999  Three Models  Rational actor Explain events using aims and calculations of nations or governments  Organizational behavior Output of large organizations using standard operating procedures  Governmental politics Output of an organization is result of “bargaining games”

12 Organization structures and uncertainty Structure Type “Situations with Less Uncertainty” “Situations with More Uncertainty” Rational Actor Org. Behavior Gov. Politics

13 “… And development subscribes to what model?...” Governmental politics model seems to describe recent approach in development administration literature (Rondinelli, White, Edwards, Pressman and Wildavsky, and Brinkerhoff)  Must account for local realities  Stakeholders need room to maneuver  Must understand complex interactions between decision-makers and constituents

14 Seven things to consider if applying the governmental politics model… 1. Higher Quality Decisions 2. The Agency Problem: Principles, Agents, and Players 3. Participants: Who plays? 4. Decision Rules 5. Framing Issues and Setting Agendas 6. Groupthink 7. Complexity of Joint Decision and Action

15 Objectives  Introduce uncertainty as a concept  Discuss trans-scientific nature of policy problems  Present alternative organizational structure models  Introduce use of “sound science” in decision-making using examples  Generalize conclusions about uncertainty and organizational structure in development

16 “Sound Science” and Decision Making: Examples Microbial Disease Protection vs. Disinfection By-product Control in Drinking Water Global Warming in a Carbon-Constrained World: What can we do? Nanotechnology: Are we ignoring the risks? DDT for African Malaria Control: “Safe for you, but not for me!” Evidence Synthesis: The Art of Prioritizing Research

17 Objectives  Introduce uncertainty as a concept  Discuss trans-scientific nature of policy problems  Present alternative organizational structure models  Introduce use of “sound science” in decision-making using examples  Make generalizations about uncertainty and organizational structure in development

18 Conclusions  S&T details cannot be ignored in many policy problems  Organizational structure dictates how uncertainties are addressed  Need to facilitate rather than control policy development  Co-operation and partnership support autonomy and freedom needed for S&T development

19 Suggested Reading  Uncertainty, Max Henrion and M. Granger Morgan, 1990  Essence of Decision, Graham Allison and Philip Zelikow  Implementation, Jeffrey Pressman and Aaron Wildavsky  The Revolt of the Engineers, Edwin T. Layton, Jr.  The Structure of Scientific Revolutions, Thomas Kuhn  Micromotives and Macrobehavior, Thomas Schelling