In China's one-party bureaucracy, central directives issued by the Central Committee of the Chinese Communist Party and the State Council are the most important instrument of formal policy communication, yet their language has rarely been studied. This study highlights three politically salient varieties of directives: grey (ambiguous about what can or cannot be done), black (clearly states what can be done) and red (clearly states what cannot be done). Grey directives encourage flexible policy implementation and experimentation, black ones strongly endorse and thereby scale up selected initiatives, while red ones forbid certain actions. Together, this mixture of ambiguous and clear directives forms a system of adaptive policy communication. Using automated text analysis, I classify nearly 5,000 central directives issued from 1978 through 2017 into the categories of grey, black and red. This first-of-its-kind measurement effort yields new insights into the patterns and evolution of central commands from Deng Xiaoping to Xi Jinping.

Policy-making concerned with animals often includes human interests, such as economy, trade, environmental protection, disease control, species conservation etc. When it comes to the interests of the animals, such policy-making often makes use of the results of animal welfare science to provide assessments of ethically relevant concerns for animals. This has provided a scientific rigour that has helped to overcome controversies and allowed debates to move forward according to generally agreed methodologies. However, this focus can lead to policies leaving out other important issues relevant to animals. This can be considered as a problem of what is included in welfare science, or of what is included in policy. This suggests two possible solutions: expanding animal welfare science to address all ethical concerns about animals’ interests or widening the perspective considered in policymaking to encompass other important ethical concerns about animals than welfare. The latter appears the better option. This requires both a ‘philosophy of animal welfare science’, a ‘philosophy of decision-making about animals’, and greater transparency about what is included or excluded from both animal welfare science and the politics of animal policy.

Policy in coalition governments (a) depends on negotiations between parties that (b) continue between elections. No extant means of predicting policy—bargaining power indices, vote shares, seat shares, polling, veto players or measures of electoral competitiveness—recognizes both of these facts. We conceptualize, estimate and validate the first dynamic measure of parties’ bargaining leverage intended to predict policy and politics. We argue that those parties with the greatest leverage in policy negotiations are those with the highest probability of participating in an alternative government, were one to form. Combining a large set of political polls and an empirical coalition formation model developed with out-of-sample testing, we estimate coalition inclusion probabilities for parties in a sample of 21 parliamentary democracies at a monthly frequency over four decades. Applications to government spending and to the stringency of environmental policy show leverage from coalition inclusion probabilities to be strongly predictive while the primary alternatives—vote shares, seat shares and polls—are not.

At issue in the SNC-Lavalin scandal was a new tool of corporate criminal law: remediation agreements. Introduced in 2018, remediation agreements allow corporate diversion and create an alternative to the prosecution of corporations suspected of criminal wrongdoing. This article examines why the federal government adopted and chose this particular new tool. Drawing on a wide-ranging documentary record, I argue that this reform was the product of transnational lawmaking and the ongoing influence of Canada's international commitments to prohibit and punish foreign bribery. The article shows how international criticism of Canada's lacklustre anti–foreign bribery enforcement record catalyzed cross-national policy diffusion and learning from other states. This led Canada to adopt corporate diversion, which promised greater enforcement, and also led Canada to adopt a form of the practice with legislative and judicial limits that narrowed the chances of any company—including SNC-Lavalin—of obtaining a remediation agreement.

Archaeologists are increasingly publishing articles proclaiming the relevance of our field for contemporary global challenges, yet our research has little impact on other disciplines or on policy-making. Here, the author discusses three reasons for this impasse in relevance: archaeologists do not understand how relevance is constructed between fields; too little of our work follows a rigorous scientific epistemology; and we are confused about the target audiences for our messages concerning our discipline's relevance. The author suggests two strategies for moving forward: transdisciplinary collaborative research and the production of quantitative scientific results that will be useful to scientists in disciplines more closely involved in today's global challenges.

Policy-making in local public administrations is still largely based on intuition rather than being backed up by data and evidence. The goal of this work is to introduce the methodology and software tools for contributing toward transforming the existing intuition-based paradigm of policy-making into an evidence-driven approach enabled by heterogeneous sources of data already available in the city. More specifically, methods for data collection, efficient data storage, and data analysis are implemented to measure the economic activity, assess the environmental impact and evaluate the social consequences of certain policy decisions. Subsequently, the extracted pieces of evidence are used to inform, advise, monitor, evaluate, and revise the decisions made by policy planners. Our contribution in this work is on outlining and deploying an easily extendable system architecture to harmonize and analyze heterogeneous data sources in ways that are found to be useful for policy-makers. For evaluating this architecture, we examine the case of a controlled parking system in the city of Thessaloniki and try to optimize its operation by balancing effectively between economic growth, environmental protection, and citizen satisfaction.