Reports & Papers

Mis and disinformation thrive by capturing imaginations through obfuscation, oversimplification, and speculation. In contrast, this report documents and analyzes five key areas related to the shifting information threat landscape in the 2020 U.S. general election with clarity, in their complexity, and on the basis of rigorously collected data. Our goal is to provide relevant insights for future elections in an evolving information and threat landscape.

The Venture Capital Public Purpose Indicator and this accompanying playbook provide guidance to VCs and startups that are interested in preventing negative consequences and in laying a public purpose foundation.  They can be used alongside other existing diligence or planning processes.

Hacking is generally thought of as something done to computer systems, but this conceptualization can be extended to any system of rules. The tax code, financial markets, and any system of laws can be hacked. This essay considers a world where AIs can be hackers. This is a generalization of specification gaming, where vulnerabilities and exploits of our social, economic, and political systems are discovered and exploited at computer speeds and scale.

The first half century of the nuclear age witnessed the gradual construction of a global nuclear order designed to mitigate nuclear dangers, inhibit arms racing, and prevent the spread of nuclear weapons to additional states. Spurred by the experiences, the dangers, the crises, the near misses, and the frightening risks on display in the early years of the Cold War, sustained efforts were made, in McGeorge Bundy’s vivid phrase, “to cap the volcano.” The time had arrived, Bundy wrote in 1969, for the two great nuclear superpowers “to limit their extravagant contest in strategic weapons,” a contest that had “led the two greatest powers of our generation into an arms race totally unprecedented in size and danger.” In the subsequent twenty-five years after Bundy’s appeal, an increasingly elaborate and institutionalized arms control process produced, with many ups and downs, a detailed web of constraints on the nuclear behavior of the superpowers. The articulated goal was to stabilize the superpower nuclear balance by reinforcing mutual deterrence. The vast nuclear arsenals of the superpowers, however, were not the only source of nuclear danger. In a world in which the number of states armed with nuclear weapons was slowly growing and many additional states had interest in acquiring such weapons or the technology to produce them, there was reason, as Albert Wohlstetter warned in 1961, to be “concerned with the enormous instabilities and dangers of a world with many nuclear powers.” Such a world—“life in a nuclear armed crowd”—Wohlstetter wrote in a later famous study, was widely believed to be “vastly more dangerous than today’s world.” The desire to prevent this unattractive world led to the negotiation of the Nuclear Nonproliferation Treaty (NPT), which entered into force in 1970, and to the subsequent development of an associated regime intended to create legal and technical barriers to the spread of nuclear weapons. Thus, in reaction to the major perceived dangers of the nuclear age, there emerged what Lawrence Freedman calls the “twin pillars” of the global nuclear order: mutual stability in the major nuclear rivalry and nonproliferation to inhibit or prevent the spread of nuclear weapons to additional states.

The potential impact of big data for border security is, in a word, transformative. However, U.S. Customs and Border Protection (CBP) does not leverage much of the large volume of data it collects. If CBP could better integrate these data into operations, it would speed up cross-border trade by helping authorities identify the most at-risk travelers and cargo. Big data can also help policymakers better understand the extent to which the border is secure and improve the allocation of enforcement resources.

Significant barriers remain for CBP to leverage big data, such as information sharing barriers between operational components as well as safeguarding data from breaches. These barriers are caused by a variety of factors. Like much of the U.S. government, CBP has struggled to develop a data culture receptive to changes brought on by the information technology revolution and has significant issues with its data governance standards, technology acquisition, and human capital development processes. This article explores these issues and offers recommendations to address these and other barriers to unlock the potential of big data for U.S. border security.

In this report, we propose a market reform pathway for Yunnan that is both feasible and applicable to address some of these challenges immediately, while aiming for a standard design based on well-documented international experience. Our proposal includes at its heart a pay-for-performance monthly capacity auction that can help cover revenue deficiencies in the energy market. Building on international experience with capacity markets, this approach provides incentives for availability when generation is needed most and is compatible with the adoption of a single energy market for all electricity resources. Out-of-market payments to cover stranded costs of certain firms can thus be minimized. Finally, engaging consumers in both these energy and capacity markets can create high-powered incentives to shift consumption to low-cost months and hours, benefitting the entire province.

This paper explores the spillover of protests across countries using data on nonviolent and spontaneous demonstrations for 200 countries from 2000 to 2020. Using an autoregressive spatial model, the analysis finds strong evidence of “contagious protests,” with a catalyzing role of social media. In particular, social media penetration in the source and destination of protests leads to protest spillovers between countries. There is evidence of parallel learning between streets of nations alongside the already documented learning between governments.  

This paper explores the effect of oil shocks on electoral outcomes. Using a new polling and election data set for 207 elections across 50 democracies, the paper shows that oil price increases systematically lower the odds of reelection for incumbents. The analysis verifies that these shocks—which reduce consumption growth—are associated with worsening performance for incumbents in the runup to reelection and a reversal in the leaning of the political party in power post-election.  

This paper explores the dynamics of media chatter about economic reforms using text analysis from about a billion newspaper articles in 28 languages. The paper shows that the intensity of reform chatter increases during economic downturns. This increase is more significant in democracies. Using instrumental variable techniques, the analysis finds the relationship to be causal. The paper also documents that reform chatter is followed by actual reforms, suggesting that democracies benefit from a “self-correcting” mechanism stemming from changing popular attitudes toward reform. 

Successful reformers know how to recognize a good idea, demonstrate its utility, and follow through on its application.