Does providing information about police shootings influence policing reform preferences? We conducted an online survey experiment in 2021 among approximately 2,600 residents of 10 large US cities. It incorporated original data we collected on police shootings of civilians. After respondents estimated the number of police shootings in their cities in 2020, we randomized subjects into three treatment groups and a control group. Treatments included some form of factual information about the police shootings in respondents’ cities (e.g., the actual total number). Afterward, respondents were asked their opinions about five policing reform proposals. Police shooting statistics did not move policing reform preferences. Support for policing reforms is primarily associated with partisanship and ideology, coupled with race. Our findings illuminate key sources of policing reform preferences among the public and reveal potential limits of information-driven, numeric-based initiatives to influence policing in the US.

While Supreme Court cases are generally salient or important, some are many degrees more important than others. A wide range of theoretical and empirical work throughout the study of judicial politics implicates this varying salience. Some work considers salience a variable to be explained, perhaps with judicial behavior the explanatory factor. The currently dominant measure of salience is the existence of newspaper coverage of a decision, but decisions themselves are an act of judicial politics. Because this coverage measure is affected only after a decision is announced, using it limits the types of inferences we can draw about salience. We develop a measure of latent salience, one that builds on existing work, but that also explicitly incorporates and models predecision information. This measure has the potential to ameliorate concerns of causal inference, put research findings on sounder footing, and add to our understanding of judicial behavior.

Answering one question often begets another. We present a decision-theoretic model that describes how this affects the sequencing of decisions over time. Because answering an easy question may raise a more difficult one, a rational judge may delay resolution even if he has perfect information about the correct decision. Furthermore, because otherwise unrelated questions may raise similar follow-ups, he may optimally clump decisions together. Our theory thus generates an endogenous economy of scale in dispute resolution and contributes to the literature on punctuated equilibrium theory. We illustrate the results of our model with a case study from legal history in the United States.

At the intersection of behavioral and institutional studies of policy making lie a series of questions about how elite choices affect mass public opinion. Scholars have considered how judicial decisions—especially US Supreme Court decisions—affect individuals’ support for specific policy positions. These studies yield a series of competing findings. Whereas past research uses opinion surveys to assess how individuals’ opinions are shaped, we believe that modern techniques for analyzing social media provide analytic leverage that traditional approaches do not offer. We present a framework for employing Twitter data to study mass opinion discourse. We find that the Supreme Court’s decisions relating to same-sex marriage in 2013 had significant effects on how the public discussed same-sex marriage and had a polarizing effect on mass opinion. We conclude by connecting these findings and our analyses to larger problems and debates in the area of democratic deliberation and big-data analysis.

The Spoon-billed Sandpiper Calidris pygmaea is a ‘Critically Endangered’ migratory shorebird. The species faces an array of threats in its non-breeding range, making conservation intervention essential. However, conservation efforts are reliant on identifying the species’ key stopover and wintering sites. Using Maximum Entropy models, we predicted Spoon-billed Sandpiper distribution across the non-breeding range, using data from recent field surveys and satellite tracking. Model outputs suggest only a limited number of stopover sites are suitable for migrating birds, with sites in the Yellow Sea and on the Jiangsu coast in China highlighted as particularly important. All the previously known core wintering sites were identified by the model including the Ganges-Brahmaputra Delta, Nan Thar Island and the Gulf of Mottama. In addition, the model highlighted sites subsequently found to be occupied, and pinpointed potential new sites meriting investigation, notably on Borneo and Sulawesi, and in parts of India and the Philippines. A comparison between the areas identified as most likely to be occupied and protected areas showed that very few locations are covered by conservation designations. Known sites must be managed for conservation as a priority, and potential new sites should be surveyed as soon as is feasible to assess occupancy status. Site protection should take place in concert with conservation interventions including habitat management, discouraging hunting, and fostering alternative livelihoods.