Looking through a policy window with tinted glasses: Setting the agenda for U.S. AI policy

The policy agenda is currently being established for artificial intelligence (AI), a domain marked by complex and sweeping implications for economic transformation tempered by concerns about social and ethical risks. This article reviews the United States national AI policy strategy through extensive qualitative and quantitative content analysis of 63 strategic AI policy documents curated by the federal government between 2016 and 2020. Drawing on a prominent theory of agenda setting, the Multiple Streams Framework, and in light of competing paradigms of technology policy, this article reviews how the U.S. government understands the key policy problems, solutions, and issue frames associated with AI. Findings indicate minimal attention to focusing events or problem indicators emphasizing social and ethical concerns, as opposed to economic and geopolitical ones. Further, broad statements noting ethical dimensions of AI often fail to translate into specific policy solutions, which may be explained by a lack of technical feasibility or value acceptability of ethics-related policy solutions, along with institutional constraints for agencies in specific policy sectors. Finally, despite widespread calls for increased public participation, proposed solutions remain expert dominated. Overall, while the emerging U.S. AI policy agenda reflects a striking level of attention to ethics—a promising development for policy stakeholders invested in AI ethics and more socially oriented approaches to technology governance—this success is only partial and is ultimately layered into a traditional strategic approach to innovation policy.     

Programmatic action in Chinese health policy—The making and design of “Healthy China 2030”

The Programmatic Action Framework (PAF) is a powerful analytical perspective to advance our understanding of policy change by stressing the role of programmatic groups and how they promote their preferred policy programs. While the PAF has been applied successfully to European countries and the US, a considerable research gap remains regarding its explanatory power in other regions and political settings. To step into this research gap, we apply the PAF to authoritarian China through a qualitative case study of the making of “Healthy China 2030”, a national health policy program. We explore two research questions: firstly, to what extent can the PAF be operationalized in a nondemocracy to identify programmatic groups and evaluate policy design, and second, what are the limitations and challenges facing the application of the PAF to nondemocracies? Our empirical analysis shows that the design of this policy program involves actors from different policy areas, despite the top-down political structure. With regards to the transfer of PAF hypotheses, we show that the framework is a helpful lens to identify programmatic groups and to evaluate policy programs' potential for success based on coherence, responsiveness, and program fit. Meanwhile, the research process of our study revealed the challenges of applying policy process theories to China, including hard-to-reach political actors for data collection, lack of transparency regarding collaboration processes between actors, and a lack of publicly available program-related information.     

Policy beliefs,policy learning,and risk perception: Exploring the formation of local creative Placemaking-catalyzed policy network

This article studies the formation of a local Creative Placemaking (CPM) policy network based on the Advocacy Coalition Framework (ACF) and social capital perspective of policy networks. This article hypothesizes that policy beliefs, policy learning, social capital, and the perceived risks induced by defections, as well as macro-level changes in the broader political and socio-economic system, influence partner selection in the local CPM policy networks. The study collected survey data from policy actors participating in the Franklinton CPM-catalyzed revitalization project in Columbus, Ohio. An exponential random graph model (ERGM) was applied to test the hypotheses. The findings partially support the hypotheses: policy learning, certain secondary policy beliefs, and risk perceptions of changes in economic and political factors are correlated with tie formation. The reciprocity-driven bonding structure underlies the Franklinton CPM policy network, suggesting that policy actors perceive the Franklinton CPM policy network as a high-defection-risk network. This study has implications for policy makers in designing engagement strategies to better involve stakeholders holding different beliefs and occupying different network positions.     

Policy capacity and rise of data-based policy innovation labs

In scarcely a decade, a “labification” phenomenon has taken hold globally. The search for innovative policy solutions for social problems is embedded within scientific experimental-like structures often referred to as policy innovation labs (PILs). With the rapid technological changes (e.g., big data, artificial intelligence), data-based PILs have emerged. Despite the growing importance of these PILs in the policy process, very little is known about them and how they contribute to policy outcomes. This study analyzes 133 data-based PILs and examines their contribution to policy capacity. We adopt policy capacity framework to investigate how data-based PILs contribute to enhancing analytical, organization, and political policy capacity. Many data-based PILs are located in Western Europe and North America, initiated by governments, and employ multi-domain administrative data with advanced technologies. Our analysis finds that data-based PILs enhance analytical and operational policy capacity at the individual, organizational and systemic levels but do little to enhance political capacity. It is this deficit that we suggest possible strategies for data-based PILs.     

Contagious COVID-19 policies: Policy diffusion during times of crisis

The COVID-19 crisis demanded rapid, widespread policy action. In response, nations turned to different forms of social distancing policies to reduce the spread of the virus. These policies were implemented globally, proving as contagious as the virus they are meant to prevent. Yet, variation in their implementation invites questions as to how and why countries adopt social distancing policies, and whether the causal mechanisms driving these policy adoptions are based on internal resources and problem conditions or other external factors such as conditions in other countries. We leverage daily changes in international social distancing policies to understand the impacts of problem characteristics, institutional and economic context, and peer effects on social distancing policy adoption. Using fixed-effects models on an international panel of daily data from 2020, we find that peer effects, particularly mimicry of geographic neighbors, political peers, and language agnates drive policy diffusion and shape countries' policy choices.     

Politics of on-demand food delivery: Policy design and the power of algorithms

In this article, we examine the politics of on-demand food delivery using insights from the theory of social construction and policy design. On-demand food delivery is a service built on algorithm-based technology known for its precarity and physical risks for couriers. We compare how the on-demand food delivery sector is regulated and its observable effects in two Asia-Pacific cities with contrasting food courier profiles: Melbourne, Australia (international students), and Singapore (citizens, permanent residents). We show how the social construction of food couriers in other policy subsystems (migration, higher education, citizenship) affects debates of their fair treatment in the on-demand food delivery sector. By interrogating the politics of digitally enabled versions of reality, we argue for embracing a design perspective to identify how reforms could be introduced in change-resistant sectors.     

Household Costs and Resistance to Germany's Energy Transition

Germany is an exemplary case of an energy transition from nuclear energy and fossil fuels toward renewables in the electricity sector, but it also demonstrates repeated, increasingly successful countermobilization by energy incumbents and their allies. The course for Germany's energy transition was largely set with the adoption of a feed‐in tariff law in 1990, but since then the energy transition has been altered by a series of policy‐making episodes, each of which was shaped by the outcomes of the previous episodes; there has been a combination of reinforcing and reactive sequences. This article uses policy windows and advocacy coalition theory, supplemented by work on resistance to carbon pricing, to analyze the four periods in which opponents of the energy transition had the greatest opportunities to limit or reverse it. It makes three main arguments intended to influence future research on energy transitions: (1) episodes of opposition to the feed‐in tariff policy occurred when problem awareness and political commitment converged, (2) the outcomes of those conflicts depended on the balance of mobilization by advocacy and opposing coalitions, and (3) rising household costs due to the renewable energy surcharge drove both problem awareness and the composition of the opposing coalition, which helped lead to a more far‐reaching retrenchment of renewable energy policy in 2014 than in earlier periods.     

Shaping the Scope of Conflict in Scotland’s Fracking Debate: Conflict Management and the Narrative Policy Framework

This study applies a narrative lens to policy actors’ discursive strategies in the Scottish debate over fracking. Based on a sample of 226 newspaper articles (2011–2017) and drawing on key elements of the narrative policy framework (NPF), the research examines how policy coalitions have characterized their supporters, their opponents, and the main regulator (Scottish government). It also explores how actors have sought to expand or contain the scope of conflict to favor their policy objectives. Empirically, only the government strives for conflict containment, whereas both pro‐ and anti‐fracking groups prioritize conflict expansion through characterization contests and the diffusion and concentration of the costs/risks and benefits of fracking. In theoretical terms, the study proposes that Sarah Pralle’s conflict management model, which emphasizes symmetrical strategies of conflict expansion by both coalitions, is a potential tool to revise extant NPF expectations about the different narrative strategies of winning and losing coalitions. Moreover, the fact that policy actors mostly employ negatively rather than positively framed characters in their narratives may be a valid expectation for similar policy conflicts, particularly under conditions of regulatory uncertainty.     

Revolutionary Movements in Latin America after the Cold War: The Case of the Ejército del Pueblo Paraguayo

This article addresses the debate concerning the reasons for the emergence of revolutionary movements in Latin America in the post‐Cold War period. It uses the example of the Ejército del Pueblo Paraguayo (EPP, Paraguayan People's Army) to question the hypothesis by McClintock that, whereas political factors were the principal cause of such movements during the Cold War, economic factors have dominated since then. After reviewing the structural context in which the EPP emerged, as well as its history, strategy and ideology, the article offers a contemporary understanding of the insurgency, examines its relevance to the debate about the prospects for revolution in post‐Cold War Latin America and proposes a reformulation of McClintock's hypothesis.