Suchergebnisse

"Scientific and technological competition has emerged as a front on which strategic competition between the United States and China is contested. Scientific and technological dominance-the prize of this competition-has been recognized as a national priority by high-level leadership from both countries. This dominance can be attained in two primary ways: A country can rely on its domestic scientific and technology innovation resources and activities, or it can leverage foreign scientific and technological assets. The researchers focused on the second approach for this study; in this report, they describe the benefits and liabilities associated with U.S.-Chinese scientific research collaboration. Specifically, the researchers investigated three types of flows between the United States and China: the inflow of U.S. technology inputs into Chinese military technology, the bilateral movement of scientific researchers between the United States and China, and scientific collaboration between researchers based in the United States and those based in China."

Behavioral economics - a field based in collaborations among economists and psychologists - focuses on integrating a nuanced understanding of behavior into models of decision-making. Since the mid-20th century, this growing field has produced research in numerous domains and has influenced policymaking, research, and marketing. However, little has been done to assess these contributions and review evidence of their use in the policy arena.Behavioral Economics: Policy Impact and Future Directions examines the evidence for behavioral economics and its application in six public policy domains: health, retirement benefits, climate change, social safety net benefits, climate change, education, and criminal justice. The report concludes that the principles of behavioral economics are indispensable for the design of policy and recommends integrating behavioral specialists into policy development within government units. In addition, the report calls for strengthening research methodology and identifies research priorities for building on the accomplishments of the field to date.Table of ContentsFront MatterSummary1 IntroductionPart I: Understanding Behavioral Economics2 Development of Behavioral Economics3 Foundational Behavioral and Economic Ideas4 The Behavioral Economics Toolkit: Policy Levers and InterventionStrategiesPart II: Evidence from Selected Policy Domains5 Health6 Retirement Benefits7 Social Safety Net Benefits8 Climate Change9 Education10 Criminal Justice System11 Findings Across the Policy DomainsPart III: Looking to the Future12 Conducting and Disseminating Behavioral Economics Research13 Implementing Behavioral Economics Approaches14 Advancing the Field of Behavioral EconomicsAppendix: Biographical Sketches of Committee Members

Chapter 1 - Introduction Chapter 2 - Why are people in the richest country on earth food insecure Chapter 3 - Who is food insecure: stories of not enough and too much food in six U.S. citiesChapter 4 - Food is more than food: connecting the dots between food and green cities Chapter 5 - The friends of food security: stories of food innovators in six U.S. cities Chapter 6 - How do we get there from here: pathways to the food system we want Chapter 7 - Conclusions

Chapter 1 IntroductionChapter 2 Non-Fragile H∞ Filtering for Multi-Rate Time-Delayed Sys\tems over Sensor NetworksChapter 3 H∞ Filtering for Multi-Rate Artificial Neural Networks with Integral MeasurementsChapter 4 Recursive State Estimation for Multi-Rate Systems with Sen\sor ResolutionsChapter 5 Minimum-Variance State and Fault Estimation for Multi\Rate Systems with Dynamical BiasChapter 6 H∞ Filtering for Multi-Rate Systems under p-Persistent CS\MA ProtocolChapter 7 l2-l∞ State Estimation for Artificial Neural Networks under High-Rate Channels with Round-Robin ProtocoChapter 8 Recursive State Estimation for Multi-Rate Systems with Dis\tributed Time-Delays under Round-Robin ProtocolChapter 9 Fusion Estimation for Multi-Rate Linear Repetitive Process\es under Weighted Try-Once-Discard ProtocolChapter 10 Outlier-Resistant Recursive Filtering for Multi-Rate Systems under Weighted Try-Once-Discard ProtocolChapter 11 Dynamic Event-Based Recursive Filtering for Multi-Rate Systems with Integral Measurements over Sensor Networks

Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1. Introduction to Crowdsourcing -- 1.1 Introduction -- 1.2 Major Types of Crowdsourcing Platforms -- 1.2.1 Crowdfunding as a Type of Crowdsourcing -- 1.2.2 Microtasking as a Type of Crowdsourcing -- 1.2.3 Open Innovation as a Type of Crowdsourcing -- 1.2.4 Creative Sense as a Type of Crowdsourcing -- 1.2.5 Crowd Testing as a Type of Crowdsourcing -- 1.2.6 Collaborative Knowledge as a Type of Crowdsourcing -- 1.3 The Good, Bad, and Ugly of Crowdsourcing -- 1.4 Conclusion -- References

Chapter 1. Introduction -- Chapter 2. Introduction to Excel Programming -- Chapter 3. Introduction to VBA Programming -- Chapter 4. Professional Techniques Used in Excel and Excel VBA Techniques -- Chapter 5. Decision Tree Approach for Binomial Option Pricing Model -- Chapter 6. Microsoft Excel Approach to Estimating Alternative Option Pricing Models -- Chapter 7. Alternative Methods to Estimate Implied Variances -- Chapter 8. Greek Letters and Portfolio Insurance -- Chapter 9. Portfolio Analysis and Option Strategies -- Chapter 10. Alternative Simulation Methods and Their Applications -- Chapter 11. Linear Models for Regression -- Chapter 12. Kernel Linear Model -- Chapter 13. Neural Networks and Deep Learning -- Chapter 14. Applications of Alternative Machine Learning Methods for Credit Card Default Forecasting -- Chapter 15. An Application of Deep Neural Networks for Predicting Credit Card Delinquencies -- Chapter 16. Binomial/Trinomial Tree Option Pricing Using Python -- Chapter 17. Financial Ratios and its Applications -- Chapter 18. Time Value Money Analysis -- Chapter 19. Capital Budgeting under Certainty and Uncertainty -- Chapter 20. Financial Planning and Forecasting -- Chapter 21. Hedge Ratios: Theory and Applications -- Chapter 22. Application of simultaneous equation in finance research: Methods and empirical results -- Chapter 23. Using R Program to Estimate Binomial Option Pricing Model and Black & Scholes Option Pricing Model.