DASH Home Skip to main content DASH Communities & Collections Browse DASH DASH Stories Statistics Log In Log in via HarvardKey DIGITAL ACCESS TO Scholarship at Harvard WHAT IS DASH? DASH is the central, open-access institutional repository of research by members of the Harvard community. Harvard Library Open Scholarship and Research Data Services (OSRDS) operates DASH to provide the broadest possible access to Harvard's scholarship. This repository hosts a wide range of Harvard-affiliated scholarly works, including pre- and post-refereed journal articles, conference proceedings, theses and dissertations, working papers, and reports. More about DASH Search Recent Submissions Loading... Publication The Depolarizing Promise of Shared Sports Fandom (Harvard Kennedy School, 2026-08) Feldman, Audrey; Rogers, Todd Show more Seventy-six percent of Americans identify as sports fans, and sixty-three percent consider themselves passionate fans. We find that this shared identity powerfully reduces partisan animosity. Using a nationally representative survey and nine pre-registered experiments, we show that shared sports fandom is at least as effective at reducing partisan animosity as shared race, religion, socio-economic status, or region where they are from. This depolarizing effect tempers hostile partisan behavior and is moderated by the centrality of sports fandom to one's identity. Sports fandom is a vital and scalable tool for strengthening democratic society. Show more Loading... Publication An Instrument to Evaluate Governance Proposals: AI Policy Analysis at Scale (Mossavar-Rahmani Center for Business & Government, 2026-08) Carvao, Paulo; Adler, Isabel; Mayrink Verdun, Claudio; Zhou, Jeffrey Show more This paper introduces a policy analysis framework designed to support systematic, transparent assessment of artificial intelligence (AI) governance proposals in a rapidly evolving and contested regulatory landscape. AI policy debates often collapse into binary positions that obscure underlying tradeoffs and normative assumptions. The framework structures policy analysis around multiple policy attributes, allowing users to surface priorities and tensions without prescribing outcomes. The research adopts a mixed-methods approach that integrates qualitative insights from subject matter experts with computational text analysis to inform the design of policy attribute indices and rubrics. The resulting approach quantifies the relative emphasis of different policy objectives and presents them through comparative visualizations that support interpretability and cross-policy comparison. The paper also examines the use of commercial large language models for rubric-based policy analysis, benchmarking their outputs against a domain-trained rubric-calibrated model with explicitly defined analytical assumptions. Rather than assessing policy effectiveness or desirability, the framework focuses on relevance and alignment across attributes. By making analytical assumptions explicit, including attribute selection, rubric construction, and weighting schemes, the framework enables users to evaluate whether its embedded priorities align with the users’ own normative commitments. The approach is jurisdiction-agnostic and intended to support policymakers, analysts, and researchers navigating complex AI governance environments. The framework makes three contributions: (1) it operationalizes multidimensional policy assessment through empirically grounded rubrics that surface tradeoffs rather than resolving them; (2) it develops a transparent hybrid methodology combining feedback from subject-matter experts with computational validation; and (3) it demonstrates how domain-trained rubric-calibrated models can be used as a benchmark for comparing different general-purpose large language models. These methodological advances enable more systematic, reproducible policy comparison while maintaining transparency about embedded normative choices. Show more Loading... Publication How Might Fiscal Policy Respond to the Rise of Artificial Intelligence? (National Bureau of Economic Research, 2026-07) Dynan, Karen; Elmendorf, Douglas; Sheiner, Louise Show more Artificial intelligence will probably generate major changes in the US economy, although the nature, timing, and magnitude of those changes are highly uncertain. We analyze a set of long-term scenarios involving different combinations of faster productivity growth, greater income inequality, job displacement, and a higher capital share of income. For each scenario, we assess the implications for federal debt and potential policy responses related to faster economic growth, the distribution of income, support for workers who are laid off, and taxation and ownership of capital. Given the uncertainty surrounding AI’s economic effects, policies that are robust to different scenarios would be especially valuable. Show more Loading... Publication The UK’s Vested Interest in Ensuring the Growth of Viable and Competitive Sterling Stablecoins (2026-07) Okoli, Ijeoma Show more Digital assets and blockchain technology have undergone a speedy legitimization drive in 2025 and 2026 driven primarily by the vigorous pro-innovation stance of the second Trump Administration in the United States. Within six months of the beginning of President Trump’s second term in office, federal agencies rapidly dismantled Biden era guidance acting as impediments to the participation of banks, consumers and builders in the digital assets ecosystem and the US passed the Guiding and Establishing National Innovation for U.S. Stablecoins Act (“GENIUS Act”) setting up a pro-innovation regulatory framework to nurture the burgeoning market for stablecoins which is currently dominated by US dollar pegged stablecoins. In this new reality, the UK can and must find a way to carve out a leading role for itself and the promotion of sterling pegged stablecoins or risk being practically shut out of the digital assets market, left as a bit part player in a fast-growing global market and not capitalising on a potential source of demand that could marginally reduce the yield on UK government borrowing. Show more Loading... Publication The Seniority of Creditors in Sovereign Debt Restructurings (Mossavar-Rahmani Center for Business & Government, 2026-07) Baqir, Reza; Hakim, Ali Show more The norms surrounding the seniority of official-sector creditors in sovereign debt restructurings contain significant ambiguities. As a result, stakeholders often disagree about the relative treatment of different institutions, delaying the restructuring process and potentially increasing the cost of official-sector financing for emerging market countries. This paper proposes a transparent and tractable framework for guiding the seniority of official claims. The framework would facilitate timely resolution of debt crises and incentivize concessional development finance. Show more Load more ... 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