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Modeling High-Tech Deployment in International Environments for Effective Policy-Making DHP P232 / ESD.127 Telecommunications Modeling and Policy Analysis January 30 th, 2002
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Agenda What is a model and how good is a model? Why do we care for technology-based models? Building up a cost model: architectural principles Using your model effectively for policy-making What your model should aim at – research question What your model should have (T+B+P)
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What is a model? An abstraction of reality: “…something used to explain some phenomena to other people in a way they can understand it…” A very old and often used model: “it usually rains when the sky is cloudy” Expressed in a proper language: To capture “emergent behavior” To explain “principal components” To raise understanding about “driving forces”
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How good is a model? A good model is one that satisfactorily: meets a goal answers a research question creates knowledge upon the assumptions Bad model Uncertain: uncertainty is a characteristic of a model Types of models (by purpose): Descriptive: capture the “state-of the art” Prospective: predict the future state of the model Supportive: aimed at justifying action
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Where are we? In this course, we care for “telecommunications modeling” “all models” “engineering models” “telecommunications models” New telecommunication technologies in international business environments DHP P232 ESD.127
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Technology-based cost models New technology: little knowledge about architecture careful extrapolation of historical data on similar technologies Cost models: equipment costs “easy” to define and obtain poor idea of elasticity of demand, no idea of revenues impossible to characterize equilibrium and shifts Types of costs: capital, operational, maintenance, SM&A “green-field”, “forward-looking”
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Building-up a cost model Looking at previous projects: Set the stage: assumptions, research question, build intuition Architecture: block diagrams and scenarios Implementation: modeling tool and getting data Analysis: answer question develop further Map this to your syllabus…
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A few architectural principles Bottom up vs. top down: Define business environment, assess technological needs and plug-in technologies Define technology, assess business conditions and design deployment strategies Complexity: how should you spend your time? Robustness: reaction to perturbations Modularity: define interfaces! datadata archarch X+ XY+ Y
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Using your model Discuss validity of assumptions Discuss weaknesses of the model Present ideas for improvement Use sensitivity analysis from a base scenario: Base scenario X1 X2 X3 “Tornado” diagram Y=f(X1,X2,X3)
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Model to answer research question Include technology, business and policy characteristics Model towards the research question: Keep objective in mind, do not waste energy, mainly in getting the data! Include all dimensions of analysis and praise multi-disciplinarity: DHP P232/ESD.127 = Learning environment! technology business policy An example: “Wireless Leapfrogging in Africa” Fletcher + TPP
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