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已翻译public sitemap metadata英文原文2026-06-05
经济未来研讨会提案
最后更新于 2025 年 10 月 14 日
以下名单包括我们在乔治城大学 McCourt School of Public Policy 举办的首届经济未来研讨会上的“闪电演讲”发言人,以及其他未登台展示的研讨会获奖者。
其中许多提案为我们在《Preparing for AI’s economic impact: exploring policy responses》中重点介绍的九类思路提供了参考。
DC 经济未来研讨会获奖者和发言人,按机构和政策理念分类
Abigail BallAmerican CompassWorkforce training grantAndreas KernGeorgetown UniversityAI for emerging market monetary authoritiesAnh Nguyen and Era Dabla-NorrisInternational Monetary FundFiscal policies for managing the AI transitionAvinash CollisCarnegie Mellon UniversityMeasuring the consumer benefits of AIChris CarnellSmall BlockPLACE-SELECT-RANGE framework for strategic rural economic developmentDavid GamageUniversity of MissouriTax architecture for a resilient AI economy fiscal frameworkEsuna DugarovaGeorge Washington UniversityAI literacy and skills development for rural US workforceEzra KargerForecasting Research InstituteForecasting the economic effects of AIIgnacio Lopez GaffneyYale UniversityADAPT phased plan for AI-era labor displacementMaggie ChenGeorge Washington UniversityExperimental evidence on generative AI and work in the Global SouthMartin FlemingMassachusetts Institute of TechnologyAI labor market policy challenges and solutions: research implications for Census, BLS, and BEAMeicen SunUniversity of Illinois Urbana-ChampaignA strategy for long-term productivity growth: leveraging AI for growth acceleration through science & innovationNeil ThompsonMassachusetts Institute of TechnologyAn “expertise framework” for labor market policy responsesNohl PattersonRANDAnalysis of AI's impact on entry-level white-collar workRebecca HannUniversity of Maryland, College ParkTargeted disclosure requirements for AI in financial oversightRevana SharfuddinThe Mercatus Center, George Mason UniversityTax code reform to build a workforce resilient against AI displacementSam CarterThe Abdul Latif Jameel Poverty Action LabAI for social impact playbook for public sector adoptionSam Manning and Suchet MittalCentre for the Governance of AI and Convergence AnalysisAutomation adjustment assistanceScott StirrettVenture for CanadaHow governments can accelerate adoption of AI across small and medium-sized enterprises (SMEs) through sector-specific trainingTom BowenGustoAI for Main Street - helping small businesses adopt AIVarsha ShuklaDartmouth CollegeTask-based framework for labor mobility in the AI ageYong LeeUniversity of Notre DameProactive workforce development and assistance in the AI age