Atlas of forecasts: modeling and mapping desirable futures
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Massachusetts ; London, England
The MIT Press
[2021]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xi, 214 Seiten Illustrationen, Diagramme |
| ISBN: | 9780262045957 |
Internformat
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Datensatz im Suchindex
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Contents 53 ix Preface Part 1: Introduction and History x Acknowledgments 2 Why Model? 4 Which Model? 6 History of Models viii Foreword 8 Part 2: Methods Part 3: Models in Action 12 54 Modeling Overview 14 Modeling Goals 56 Population: Health and Education 16 Modeling Framework 58 18 Model Design and Run Natural Resources: Water, Food, and Energy 60 Climate and Weather: Pollution and Flooding 62 Transportation: Land, Maritime, and Air 20 Model Visualization Models That Matter Model Substrates Overview 22 Model Validation 24 Model Classes Overview 26 Expert-Based Models 28 Descriptive Models 64 Digitization: Computing and Communication 30 Predictive Models 66 32 Dynamical Equations (1687) 34 Probability Theory (1713) Urbanization: Segregation and Migration 68 Model Questions Overview 70 Domains Overview 72 Scales Overview 36 Control Theory (1868) 38 Epidemic Models (1927) 40 Cellular Automata (1940s) 74 Micro: Education 42 Game Theory (1950) 76 Micro: Science 44 Continuous-Field Models (1952) 78 Micro: Technology 46 Network Models (1959) 80 Micro: Policy 48 Agent-Based Models (1980s) 82 Meso: Education 50 Machine Learning Models (1990s) 84 Meso: Science 86 Meso: Technology 88 Meso: Policy 90 Macro: Education 92 Macro: Science 94 Macro: Technology 96 Macro: Policy
■ Language Communities of Twitter 124 Ninth Iteration (2013): Science Maps Showing Trends and Dynamics 126 NASA Views Our Perpetually Moving Ocean 128 Hurricanes Tropical Storms— Locations and Intensities since 1851 130 State of the Polar Bear 99 132 Pulse of the Nation 134 Map of Complexity Science Part 4: Science Maps in Action 100 Places Spaces: Mapping Science 102 Eighth Iteration (2012): Science Maps for Kids 136 Visualizing Trends and Dynamics: 30 Years of Scientific Development 138 The Hewlett Foundation Grant Visualizer 140 Who Really Matters in the World—Leadership Networks in Different-Language Wikipedias 104 Geologic Time Spiral: A Path to the Past 142 Identifying Emerging Topics in Science and Technology 106 Movie Narrative Charts (Comic #657) 144 Science Phylomemy 108 Metropolitan Museum of Art Family Map 110 Left vs. Right Political Spectrum 112 Gapminder World Map 114 Knowledge Web 116 Manga Universe 118 The Fundamental Inter connectedness of All Things 120 Language Communities ofTwitter 122 Khan Academy Library Overview Part 5: Envisioning Desirable Futures 180 References Credits 210 Index 170 Modeling Opportunities 172 Reducing Human Bias 174 Managing Risks 176 Building Capacity 178 Actionable Forecasts 146 Tenth Iteration (2014): The Future of Science Mapping 148 Being a Map of Physics 150 Map of the Internet 152 PREDICT HealthMap 154 ORBIS 156 Money 158 The Linguistic Context of Citations 160 Visual Funding Portfolios 162 Mapping Graphene Science and Development: Focused Research with Multiple Application Areas 164 Exploring the Relationships between a
Map of Altruism and a Map of Science 166 Interstitial Organizations as Conversational Bridges vu
Atlas of Forecasts Modeling and Mapping Desirable Futures Katv Borner Implementing desirable futures requires a deep understanding of developments in science and technology, and the ability to both simulate and communicate the likely impact of alternative actions. At a time when our relationship to planet Earth seems especially vital, such a profound awareness of complex, interlinked systems is needed more than ever. Atlas, of Forecasts uses advanced data visualizations to introduce different types of computational models. It demonstrates now model results can be used to inform effective decision-making. The models aim to capture the structure and dynamics of developments in education and the job market, progress in science and technology, and the impact of government policies—all from the micro to the macro levels. Model results help us decide which human skills are needed in an artificial intelligence-empowered economy; which courses and degrees are most effective in upskilling and reskilling the current and future workforce; what progress in science and technology is likely to happen; and how policymakers can future-proof regions or nations. If you want to envision and test-drive the future before investing vour resources, read this Atlas to gain new perspective from the driver’s seat. |
| adam_txt |
Contents 53 ix Preface Part 1: Introduction and History x Acknowledgments 2 Why Model? 4 Which Model? 6 History of Models viii Foreword 8 Part 2: Methods Part 3: Models in Action 12 54 Modeling Overview 14 Modeling Goals 56 Population: Health and Education 16 Modeling Framework 58 18 Model Design and Run Natural Resources: Water, Food, and Energy 60 Climate and Weather: Pollution and Flooding 62 Transportation: Land, Maritime, and Air 20 Model Visualization Models That Matter Model Substrates Overview 22 Model Validation 24 Model Classes Overview 26 Expert-Based Models 28 Descriptive Models 64 Digitization: Computing and Communication 30 Predictive Models 66 32 Dynamical Equations (1687) 34 Probability Theory (1713) Urbanization: Segregation and Migration 68 Model Questions Overview 70 Domains Overview 72 Scales Overview 36 Control Theory (1868) 38 Epidemic Models (1927) 40 Cellular Automata (1940s) 74 Micro: Education 42 Game Theory (1950) 76 Micro: Science 44 Continuous-Field Models (1952) 78 Micro: Technology 46 Network Models (1959) 80 Micro: Policy 48 Agent-Based Models (1980s) 82 Meso: Education 50 Machine Learning Models (1990s) 84 Meso: Science 86 Meso: Technology 88 Meso: Policy 90 Macro: Education 92 Macro: Science 94 Macro: Technology 96 Macro: Policy
■ Language Communities of Twitter 124 Ninth Iteration (2013): Science Maps Showing Trends and Dynamics 126 NASA Views Our Perpetually Moving Ocean 128 Hurricanes Tropical Storms— Locations and Intensities since 1851 130 State of the Polar Bear 99 132 Pulse of the Nation 134 Map of Complexity Science Part 4: Science Maps in Action 100 Places Spaces: Mapping Science 102 Eighth Iteration (2012): Science Maps for Kids 136 Visualizing Trends and Dynamics: 30 Years of Scientific Development 138 The Hewlett Foundation Grant Visualizer 140 Who Really Matters in the World—Leadership Networks in Different-Language Wikipedias 104 Geologic Time Spiral: A Path to the Past 142 Identifying Emerging Topics in Science and Technology 106 Movie Narrative Charts (Comic #657) 144 Science Phylomemy 108 Metropolitan Museum of Art Family Map 110 Left vs. Right Political Spectrum 112 Gapminder World Map 114 Knowledge Web 116 Manga Universe 118 The Fundamental Inter connectedness of All Things 120 Language Communities ofTwitter 122 Khan Academy Library Overview Part 5: Envisioning Desirable Futures 180 References Credits 210 Index 170 Modeling Opportunities 172 Reducing Human Bias 174 Managing Risks 176 Building Capacity 178 Actionable Forecasts 146 Tenth Iteration (2014): The Future of Science Mapping 148 Being a Map of Physics 150 Map of the Internet 152 PREDICT HealthMap 154 ORBIS 156 Money 158 The Linguistic Context of Citations 160 Visual Funding Portfolios 162 Mapping Graphene Science and Development: Focused Research with Multiple Application Areas 164 Exploring the Relationships between a
Map of Altruism and a Map of Science 166 Interstitial Organizations as Conversational Bridges vu
Atlas of Forecasts Modeling and Mapping Desirable Futures Katv Borner Implementing desirable futures requires a deep understanding of developments in science and technology, and the ability to both simulate and communicate the likely impact of alternative actions. At a time when our relationship to planet Earth seems especially vital, such a profound awareness of complex, interlinked systems is needed more than ever. Atlas, of Forecasts uses advanced data visualizations to introduce different types of computational models. It demonstrates now model results can be used to inform effective decision-making. The models aim to capture the structure and dynamics of developments in education and the job market, progress in science and technology, and the impact of government policies—all from the micro to the macro levels. Model results help us decide which human skills are needed in an artificial intelligence-empowered economy; which courses and degrees are most effective in upskilling and reskilling the current and future workforce; what progress in science and technology is likely to happen; and how policymakers can future-proof regions or nations. If you want to envision and test-drive the future before investing vour resources, read this Atlas to gain new perspective from the driver’s seat. |
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| isbn | 9780262045957 |
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| spelling | Börner, Katy 1967- Verfasser (DE-588)1011404567 aut Atlas of forecasts modeling and mapping desirable futures Katy Börner Cambridge, Massachusetts ; London, England The MIT Press [2021] xi, 214 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier (DE-588)4143303-8 Atlas gnd-content Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032891068&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032891068&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
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| title_fullStr | Atlas of forecasts modeling and mapping desirable futures Katy Börner |
| title_full_unstemmed | Atlas of forecasts modeling and mapping desirable futures Katy Börner |
| title_short | Atlas of forecasts |
| title_sort | atlas of forecasts modeling and mapping desirable futures |
| title_sub | modeling and mapping desirable futures |
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