32 research outputs found
How To Build an Undervoting Machine: Lessons from an Alternative Ballot Design
Despite the importance of usability in ensuring election integrity, it remains an under-studied aspect of voting systems.
Voting computers (a.k.a. DREs) offer the opportunity to present ballots to voters in novel ways, yet this space has not been
systematically explored. We constructed a DRE that, unlike most commercial DREs, does not require voters to view every
race, but instead starts at the âreview screenâ and lets voters directly navigate to races. This was compared with a more
traditional, sequentially-navigated, DRE. The direct access navigation model had two effects, both of which were quite
large. First, voters made omission (undervote) errors markedly more often. Second, voters who were free to choose who to
vote for chose to vote in substantially fewer races. We also examined the relationship between the true error rateâwhich is
not observable in real electionsâand the residual vote rate, a measure of effectiveness commonly used for real elections.
Replicating the findings of [Campbell and Byrne 2009a], the mean residual vote rate was close to the mean true error rate,
but the correlation between these measures was low, suggesting a loose coupling between these two measures
Putting the Bar Exam to the Test: An Examination of the Predictive Validity of Bar Exam Outcomes on Lawyering Effectiveness
How well does bar exam performance, on the whole, predict lawyering effectiveness? Is performance on some components of the bar exam more predictive? The current study, the first of its kind to measure the relationship between bar exam scores and a new lawyerâs effectiveness, evaluates these questions by combining three unique datasetsâbar results from the State Bar of Nevada, a survey of recently admitted lawyers, and a survey of supervisors, peers, and judges who were asked to evaluate the effectiveness of recently-admitted lawyers. We find that performance on both the Multistate Bar Examination (MBE) and essay components of the Nevada Bar have little relationship with the assessed lawyering effectiveness of new lawyers, calling into question the usefulness of these tests
The effects of centralising electoral management board design
The public administration of elections frequently fails. Variation in the performance of electoral management boards around the world has been demonstrated, illustrated by delays in the count, inaccurate or incomplete voter registers, or severe queues at polling stations. Centralising the management of the electoral process has often been proposed as a solution. There has been little theorisation and no empirical investigations into the effects that centralising an already decentralised system would have, however. This article addresses this lacuna by conceptualising centralisation through the literature on bureaucratic control and discretion. It then empirically investigates the effects through a case study of centralisation in two UK referendums. Semi-structured interviews were used with those who devised the policy instrument and those who were subject to it. The introduction of central directions had some of the desired effects such as producing more consistent services and eliminating errors. It also had side effects, however, such as reducing economic efficiency in some areas and overlooking local knowledge. Furthermore, the reforms caused a decline of staff morale, job satisfaction and souring of relations among stakeholder organisations. The process of making organisational change therefore warrants closer attention by policy makers and future scholarship on electoral integrity
Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project
The Numerical INJection Analysis (NINJA) project is a collaborative effort
between members of the numerical relativity and gravitational-wave data
analysis communities. The purpose of NINJA is to study the sensitivity of
existing gravitational-wave search algorithms using numerically generated
waveforms and to foster closer collaboration between the numerical relativity
and data analysis communities. We describe the results of the first NINJA
analysis which focused on gravitational waveforms from binary black hole
coalescence. Ten numerical relativity groups contributed numerical data which
were used to generate a set of gravitational-wave signals. These signals were
injected into a simulated data set, designed to mimic the response of the
Initial LIGO and Virgo gravitational-wave detectors. Nine groups analysed this
data using search and parameter-estimation pipelines. Matched filter
algorithms, un-modelled-burst searches and Bayesian parameter-estimation and
model-selection algorithms were applied to the data. We report the efficiency
of these search methods in detecting the numerical waveforms and measuring
their parameters. We describe preliminary comparisons between the different
search methods and suggest improvements for future NINJA analyses.Comment: 56 pages, 25 figures; various clarifications; accepted to CQ
Quantum state preparation and macroscopic entanglement in gravitational-wave detectors
Long-baseline laser-interferometer gravitational-wave detectors are operating
at a factor of 10 (in amplitude) above the standard quantum limit (SQL) within
a broad frequency band. Such a low classical noise budget has already allowed
the creation of a controlled 2.7 kg macroscopic oscillator with an effective
eigenfrequency of 150 Hz and an occupation number of 200. This result, along
with the prospect for further improvements, heralds the new possibility of
experimentally probing macroscopic quantum mechanics (MQM) - quantum mechanical
behavior of objects in the realm of everyday experience - using
gravitational-wave detectors. In this paper, we provide the mathematical
foundation for the first step of a MQM experiment: the preparation of a
macroscopic test mass into a nearly minimum-Heisenberg-limited Gaussian quantum
state, which is possible if the interferometer's classical noise beats the SQL
in a broad frequency band. Our formalism, based on Wiener filtering, allows a
straightforward conversion from the classical noise budget of a laser
interferometer, in terms of noise spectra, into the strategy for quantum state
preparation, and the quality of the prepared state. Using this formalism, we
consider how Gaussian entanglement can be built among two macroscopic test
masses, and the performance of the planned Advanced LIGO interferometers in
quantum-state preparation
Searching for a Stochastic Background of Gravitational Waves with LIGO
The Laser Interferometer Gravitational-wave Observatory (LIGO) has performed
the fourth science run, S4, with significantly improved interferometer
sensitivities with respect to previous runs. Using data acquired during this
science run, we place a limit on the amplitude of a stochastic background of
gravitational waves. For a frequency independent spectrum, the new limit is
. This is currently the most sensitive
result in the frequency range 51-150 Hz, with a factor of 13 improvement over
the previous LIGO result. We discuss complementarity of the new result with
other constraints on a stochastic background of gravitational waves, and we
investigate implications of the new result for different models of this
background.Comment: 37 pages, 16 figure
Search for gravitational wave bursts in LIGO's third science run
We report on a search for gravitational wave bursts in data from the three
LIGO interferometric detectors during their third science run. The search
targets subsecond bursts in the frequency range 100-1100 Hz for which no
waveform model is assumed, and has a sensitivity in terms of the
root-sum-square (rss) strain amplitude of hrss ~ 10^{-20} / sqrt(Hz). No
gravitational wave signals were detected in the 8 days of analyzed data.Comment: 12 pages, 6 figures. Amaldi-6 conference proceedings to be published
in Classical and Quantum Gravit
HLA-DQA1*05 carriage associated with development of anti-drug antibodies to infliximab and adalimumab in patients with Crohn's Disease
Anti-tumor necrosis factor (anti-TNF) therapies are the most widely used biologic drugs for treating immune-mediated diseases, but repeated administration can induce the formation of anti-drug antibodies. The ability to identify patients at increased risk for development of anti-drug antibodies would facilitate selection of therapy and use of preventative strategies.This article is freely available via Open Access. Click on Publisher URL to access the full-text
Upper limit map of a background of gravitational waves
We searched for an anisotropic background of gravitational waves using data
from the LIGO S4 science run and a method that is optimized for point sources.
This is appropriate if, for example, the gravitational wave background is
dominated by a small number of distinct astrophysical sources. No signal was
seen. Upper limit maps were produced assuming two different power laws for the
source strain power spectrum. For an f^-3 power law and using the 50 Hz to 1.8
kHz band the upper limits on the source strain power spectrum vary between
1.2e-48 Hz^-1 (100 Hz/f)^3 and 1.2e-47 Hz^-1 (100 Hz /f)^3, depending on the
position in the sky. Similarly, in the case of constant strain power spectrum,
the upper limits vary between 8.5e-49 Hz^-1 and 6.1e-48 Hz^-1.
As a side product a limit on an isotropic background of gravitational waves
was also obtained. All limits are at the 90% confidence level. Finally, as an
application, we focused on the direction of Sco-X1, the closest low-mass X-ray
binary. We compare the upper limit on strain amplitude obtained by this method
to expectations based on the X-ray luminosity of Sco-X1.Comment: 11 pages, 9 figures, 2 table