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Accountability and responsibility are related ideas that are central to political, constitutional, and institutional arrangements in Western liberal democracies. However, political elites in non-democratic systems are generally not held accountable by citizens through such arrangements, and accountability is primarily a means of securing the compliance of state functionaries to the will of these elites. In liberal democracies the terms “accountability” and “responsibility” are often used in common discourse as if they were synonyms, but they are not. The former is a concept that embodies a number of different types, with a common theme of answerability by an accountor to an accountee, usually—but not necessarily—in a hierarchical relationship designed to ensure compliance and control. Responsibility, on the other hand, speaks of the associated but different domain of individual moral choice, where often conflicting duties of obligation are experienced by those in official positions. Beginning in the 1980s, the so-called new public management movement, which brought major changes to many Western systems of public administration, sought to enhance the accountability of public bureaucrats, especially their answerability to their elected political superiors. The effects have been mixed and uncertain, often with unintended consequences, such as the reinforcement of risk aversion and blame shifting and gaming behavior. The quest for accountability is inherently a political process, in which “holding to account” may often depend much less on any forensic determination of specific culpability and much more on evidential and political disputation, where the search for the “truth” is highly—and increasingly—contestable.

The advocacy coalition framework (ACF) was developed to explain policy processes where contentious coalitions of actors seek to translate competing belief systems into public policy. Advocacy coalitions may include interest groups, members of the media, scientists and academics, and government officials that share beliefs about a public issue and coordinate their behavior. These advocacy coalitions engage in various strategies using resources to influence policy change or stasis. As part of this process, advocacy coalition members may learn within and/or across coalitions.

This framework is one of the most prominent and widely applied approaches to explain public policy. While it has been applied hundreds of times, in over 50 different countries, the vast majority of ACF applications have sought to explain domestic policy processes. A reason for the paucity of applications to foreign policy is that some ACF assumptions may not seem congruent to foreign policy issues. For example, the ACF uses a policy subsystem as the unit of analysis that may include a territorial dimension. Yet, the purpose of the territorial dimension is to limit the scope of the study. Therefore, this dimension can be substituted for a government body that has the authority or potential authority to make and implement foreign policy. In addition, the ACF assumes a central role for technical and scientific information in the policy process. Such information makes learning across coalitions more conducive, but the ACF can and should also be applied to normative issues, such as those more common among foreign policy research.

This article introduces the ACF; provides an overview of the framework, including assumptions, key concepts and theories, and transferability of the ACF to foreign policy analysis; and discusses four exemplary applications. In addition, it proposes future research that scholars should explore as part of the nexus of the ACF and foreign policy analysis. In the final analysis, the authors suggest the ACF can and should be applied to foreign policy analysis to better understand the development of advocacy coalitions and how they influence changes and stasis in foreign policy.

For much of the history of the study of international relations, and of foreign policy as a distinctive subfield, scholars have debated the relative weight of agency and structure in shaping the course of international events. Often, the significance of agency versus structure depends on the scope of inquiry. Efforts to identify broad patterns of social interaction tend to play up the significance of structure, while studies of specific events bring agency to the fore. International relations theory is typically associated with the former, and foreign policy analysis (FPA) is more closely linked to the latter. That association suggests that the question of agency versus structure in international outcomes is settled in FPA in favor of agency. An assessment of the literature in FPA shows such a suggestion to be wide of the mark. Not only does FPA struggle with the question of agency versus structure that pervades the study of international relations generally, but also it wrestles with how to reconcile agency and structure in the context of psychological constraints on human cognition. Thus, rather than resolving the debate between agency and structure, the literature on FPA shows that it extends down to the level of individual policymakers. The debate over the role of agency and structure occupies two axes. The first is the engagement of FPA with broader debates over agency and structure in international relations scholarship. The second is the tension between agency and structure in FPA that emerges once psychology is incorporated into the analytical matrix. In both cases, the significance of structure in the actual analysis of foreign policy is far greater than common conception recognizes. This reality means that FPA represents the cutting edge for theoretical and analytical efforts to understand the relationship between structure and agency in international outcomes.

Agent-based computational modeling (ABM, for short) is a formal and supplementary methodological approach used in international relations (IR) theory and research, based on the general ABM paradigm and computational methodology as applied to IR phenomena. ABM of such phenomena varies according to three fundamental dimensions: scale of organization—spanning foreign policy, international relations, regional systems, and global politics—as well as by geospatial and temporal scales. ABM is part of the broader complexity science paradigm, although ABMs can also be applied without complexity concepts. There have been scores of peer-reviewed publications using ABM to develop IR theory in recent years, based on earlier pioneering work in computational IR that originated in the 1960s that was pre-agent based. Main areas of theory and research using ABM in IR theory include dynamics of polity formation (politogenesis), foreign policy decision making, conflict dynamics, transnational terrorism, and environment impacts such as climate change. Enduring challenges for ABM in IR theory include learning the applicable ABM methodology itself, publishing sufficiently complete models, accumulation of knowledge, evolving new standards and methodology, and the special demands of interdisciplinary research, among others. Besides further development of main themes identified thus far, future research directions include ABM applied to IR in political interaction domains of space and cyber; new integrated models of IR dynamics across domains of land, sea, air, space, and cyber; and world order and long-range models.

Over the past three decades, economic and political demographers, using various measures, have discerned that increased age-structural maturity makes significant statistical contributions to levels of per capita income, to educational attainment, to declines in the frequency of onsets of intrastate conflict, and to the likelihood of achieving and maintaining liberal democracy. Some of the stronger statistical relationships have been used in forecasts. For example, using the United Nations Population Division (UNPD) demographic projections, political demographers have relied on the strong statistical association between age structure and stable liberal democracy to forecast the rise of democracy in North Africa more than two years in advance (in 2008)—at a time when regional experts believed that forecast to be absurd.

Whereas critics remain skeptical of the murky causal connections of age-structural theory, its proponents counter that causality in the development of state capacity is complex and is less important than the theory’s positive qualities (namely, that it is forward-looking, its statistical findings are easily repeated, its forecasts have outcompeted regional experts, and its predictive products can be readily adapted to the needs of intelligence foresight, defense planning, and foreign policy analysis). Perhaps most important, the age-structural theory of state behavior has yielded a surprising number of “novel facts”—new knowledge concerning the observed pace and timing of state political, social, and economic behaviors.