Ballot design can have a huge impact on voter participation, especially in nonpartisan elections

The ballot is one of the most fundamental implements of democracy – but can ballot design influence the outcome of an election? Chris W. Bonneau and Eric Loepp find that ballots that give voters the ability to vote for all candidates with the same party label (the straight-ticket voting option) in multiple elections may have major consequences for electoral participation, especially in ‘down-ticket’ races. They argue that while straight ticket voting may enhance participation in these races if they are partisan, non-partisan ‘down ticket’ races are much more likely to see reduced voter participation

Nonpartisan election formats do not affect voting behaviors

Nonpartisan elections—in which candidates are not endorsed by a political party and their party affiliation does not appear on the ballot—have been criticized as depriving crucial information to voters, making it difficult for them to vote for candidates that represent their beliefs. Chris W. Bonneau and Damon M. Cann tested the impact of nonpartisan election conditions using both a laboratory experiment and data from the Cooperative Congressional Election Survey. They find that there is no significant difference between voting behaviors in partisan and nonpartisan election formats

Despite a variety of ballot measures and some expensive races, the midterms were relatively quiet for judicial elections

While most commentators have been focused on the outcome of key Senate races in this year’s midterm elections, it is important to remember that many states were also electing judges for high courts as well this week. Chris W. Bonneau and Jeremy R. Johnson give an overview of the results including a million dollar race in North Carolina, ballot measures on judicial retirement ages, and Tennessee’s vote to allow the governor to appoint judges of the Supreme Court and intermediate appellate court, subject to legislative approval

Supreme Court judgments based on reasons outside the law are unlikely to harm its legitimacy.

While almost all judgments from the Supreme Court are based on some kind of existing law, there are a small number which are not. Instead justices use public opinion, religious texts, and their own personal beliefs to justify their decisions. In new research, Chris Bonneau, Jarrod Kelly, Kira Pronin, Shane Redman and Matt Zarit examine whether such ‘extralegal’ decisions harm the Court’s legitimacy in the eyes of the public. They find that when moral or public opinion reasons are provided in addition to legal precedents, then public opinion about that decision’s legitimacy does not change. Members of the public only change their opinion on a decision’s legitimacy when they believe one specific reason is inappropriate and they disagree with the outcome

The Rule of Law is Dead! Long Live the Rule of Law!

Polls show that a significant proportion of the public considers judges to be political. This result holds whether Americans are asked about Supreme Court justices, federal judges, state judges, or judges in general. At the same time, a large majority of the public also believes that judges are fair and impartial arbiters, and this belief also applies across the board. In this paper, I consider what this half-law-half-politics understanding of the courts means for judicial legitimacy and the public confidence on which that legitimacy rests. Drawing on the Legal Realists, and particularly on the work of Thurman Arnold, I argue against the notion that the contradictory views must be resolved in order for judicial legitimacy to remain intact. A rule of law built on contending legal and political beliefs is not necessarily fair or just. But it can be stable. At least in the context of law and courts, a house divided may stand

Inferring causal molecular networks: empirical assessment through a community-based effort

Inferring molecular networks is a central challenge in computational biology. However, it has remained unclear whether causal, rather than merely correlational, relationships can be effectively inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge that focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results constitute the most comprehensive assessment of causal network inference in a mammalian setting carried out to date and suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess the causal validity of inferred molecular networks

Inferring causal molecular networks: empirical assessment through a community-based effort

It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective, and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess inferred molecular networks in a causal sense

Campaign Fundraising in State Supreme Court Elections

What factors affect the ability of candidates for state supreme courts to raise money? In this article, I test (and expand) existing theories of political fundraising (taken largely from legislative studies) in the context of judicial elections. Copyright (c) 2007 Southwestern Social Science Association.