Improving Data Quality by Leveraging Statistical Relational Learning

Digitally collected data su ↵ ers from many data quality issues, such as duplicate, incorrect, or incomplete data. A common approach for counteracting these issues is to formulate a set of data cleaning rules to identify and repair incorrect, duplicate and missing data. Data cleaning systems must be able to treat data quality rules holistically, to incorporate heterogeneous constraints within a single routine, and to automate data curation. We propose an approach to data cleaning based on statistical relational learning (SRL). We argue that a formalism - Markov logic - is a natural fit for modeling data quality rules. Our approach allows for the usage of probabilistic joint inference over interleaved data cleaning rules to improve data quality. Furthermore, it obliterates the need to specify the order of rule execution. We describe how data quality rules expressed as formulas in first-order logic directly translate into the predictive model in our SRL framework

Accountability in the EU's para-regulatory state: the case of the Economic and Monetary Union

This article revisits Majone's famous argument about accountability in the regulatory state in reference to the European Union's (EU) Economic and Monetary Union. We show that the EU has entered the stage of a “para-regulatory state” marked by increasing EU regulation in areas linked to core state powers. Despite the redistributive and politicized nature of these policy areas, the EU's “para-regulatory state” has continued to rely on its regulatory model of accountability, focused on decisionmaking processes, and interest mediation. In line with Majone, we describe the model as procedural and contrast it to substantive accountability – which is necessary when regulation has clear redistributive implications. Using two case studies from fiscal policy and monetary affairs, we illustrate the predominance of procedural accountability as exercised by the European Parliament and EU Courts. We complement the empirical analysis with a normative discussion of how substantive accountability could potentially be rendered in both fields.Horizon 2020(H2020)716923Institutions, Decisions and Collective Behaviou

Reconciling independence and accountability at the European Central Bank: the false promise of proceduralism

This article revisits the balancing act between independence and accountability at the European Central Bank (ECB). It contrasts procedural and substantive concepts of accountability, and challenges the mainstream idea that independence and accountability can be reconciled through narrow mandates, the indiscriminate increase of transparency, the creation of multiple channels of accountability, and the active use of judicial review. These assumptions form the pillars of a procedural type of accountability that promises to resolve the independence/accountability dilemma but fails to do so in practice. The article brings evidence to show how ECB accountability has become a complex administrative exercise that focuses on the procedural steps leading up to monetary and supervisory decisions while simultaneously limiting substantive accountability. The failure to acknowledge the trade-off between independence and accountability (said to be ‘two sides of the same coin’) has resulted in a tendency to privilege the former over the latter.Horizon 2020(H2020)716923Institutions, Decisions and Collective Behaviou

Improving Data Quality by Leveraging Statistical Relational\ud Learning

Digitally collected data su\ud ↵\ud ers from many data quality issues, such as duplicate, incorrect, or incomplete data. A common\ud approach for counteracting these issues is to formulate a set of data cleaning rules to identify and repair incorrect, duplicate and\ud missing data. Data cleaning systems must be able to treat data quality rules holistically, to incorporate heterogeneous constraints\ud within a single routine, and to automate data curation. We propose an approach to data cleaning based on statistical relational\ud learning (SRL). We argue that a formalism - Markov logic - is a natural fit for modeling data quality rules. Our approach\ud allows for the usage of probabilistic joint inference over interleaved data cleaning rules to improve data quality. Furthermore, it\ud obliterates the need to specify the order of rule execution. We describe how data quality rules expressed as formulas in first-order\ud logic directly translate into the predictive model in our SRL framework

Differentiated participation, uniform procedures: EU agencies in direct policy implementation

European Union (EU) institutions have become increasingly involved in direct policy implementation in the member states, creating a new domain of differentiation in EU governance. What brings about such differentiation, and how does it vary across policy fields? Drawing on theories of differentiated integration, this article argues that differentiated implementation occurs at the intersection of postfunctional obstacles (politicisation) and functional pressures for joint implementation (interdependence). There are two identified dimensions of direct implementation, a territorial one referring to states’ participation in such activities, and a procedural one capturing the degree of uniformity in the guidelines for organising implementation. The resulting typology is applied to direct implementation activities (DIAs) conducted by EU agencies alongside national authorities. The qualitative analysis reveals that differentiated participation is a stable feature of DIAs in politicised fields, and although there is a tendency to create more uniform procedures over time and across policy fields, higher uniformity prevails under symmetric interdependence.Institutions, Decisions and Collective Behaviou

Opening Pandora’s Box? Joint Sovereignty and the Rise of EU Agencies with Operational Tasks

This article problematises the proliferation of European Union (EU) agencies with operational tasks as a new phenomenon capturing the exercise of joint sovereignty in European integration. While joint decision-making has been a feature of EU politics for decades, joint sovereignty is a broader category that additionally involves the creation of EU bodies able to intervene ‘on the ground’ alongside national public actors. We argue that the choice for joint sovereignty opens a Pandora’s box of implementation deficiencies which undermine the ability of both national and supranational actors to conduct operational activities effectively. We subsequently identify two frequent dysfunctions in policy implementation and connect them to ambiguity and conflict at the decision-making stage. Empirically, we illustrate the systemic link between decision-making and implementation problems in the functioning of two agencies with operational tasks active in the fields of border management (Frontex) and police cooperation (Europol).The Institutions of Politics; Design, Workings, and implications ( do not use, ended 1-1-2020)Institutions, Decisions and Collective Behaviou

Opening Pandora’s box?: Joint sovereignty and the rise of EU agencies with operational tasks

This article problematises the proliferation of European Union (EU) agencies with operational tasks as a new phenomenon capturing the exercise of joint sovereignty in European integration. While joint decision-making has been a feature of EU politics for decades, joint sovereignty is a broader category that additionally involves the creation of EU bodies able to intervene ‘on the ground’ alongside national public actors. We argue that the choice for joint sovereignty opens a Pandora’s box of implementation deficiencies which undermine the ability of both national and supranational actors to conduct operational activities effectively. We subsequently identify two frequent dysfunctions in policy implementation and connect them to ambiguity and conflict at the decision-making stage. Empirically, we illustrate the systemic link between decision-making and implementation problems in the functioning of two agencies with operational tasks active in the fields of border management (Frontex) and police cooperation (Europol).NWOInstitutions, Decisions and Collective Behaviou

Protocols for Endovascular Stroke Treatment Diminish the Weekend Effect Through Improvements in Off-Hours Care

Introduction: The weekend effect is a well-recognized phenomenon in which patient outcomes worsen for acute strokes presenting outside routine business hours. This is attributed to non-uniform availability of services throughout the week and evenings and, though described for intravenous thrombolysis candidates, is poorly understood for endovascular stroke care. We evaluated the impact of institutional protocols on the weekend effect, and the speed and outcome of endovascular therapy as a function of time of presentation.Method: This study assesses a prospective observational cohort of 129 consecutive patients. Patients were grouped based on the time of presentation during regular work hours (Monday through Friday, 07:00–19:00 h) vs. off-hours (overnight 19:00–07:00 h and weekends) and assessed for treatment latency and outcome.Results: Treatment latencies did not depend on the time of presentation. The door to imaging interval was comparable during regular and off-hours (median time 21 vs. 19 min, respectively, p < 0.50). Imaging to groin puncture was comparable (71 vs. 71 min, p < 1.0), as were angiographic and functional outcomes. Additionally, treatment intervals decreased with increased protocol experience; door-to-puncture interval significantly decreased from the first to the fourth quarters of the study period (115 vs. 94 min, respectively, p < 0.006), with the effect primarily seen during off-hours with a 28% reduction in median door-to-puncture times.Conclusions: Institutional protocols help diminish the weekend effect in endovascular stroke treatment. This is driven largely by improvement in off-hours performance, with protocol adherence leading to further decreases in treatment intervals over time

Bridging thrombolysis in atrial fibrillation stroke is associated with increased hemorrhagic complications without improved outcomes

BACKGROUND: Atrial fibrillation (AF) associated ischemic stroke is associated with worse functional outcomes, less effective recanalization, and increased rates of hemorrhagic complications after intravenous thrombolysis (IVT). Conversely, AF is not associated with hemorrhagic complications or functional outcomes in patients undergoing mechanical thrombectomy (MT). This differential effect of MT and IVT in AF associated stroke raises the question of whether bridging thrombolysis increases hemorrhagic complications in AF patients undergoing MT. METHODS: This international cohort study of 22 comprehensive stroke centers analyzed patients with large vessel occlusion (LVO) undergoing MT between June 1, 2015 and December 31, 2020. Patients were divided into four groups based on comorbid AF and IVT exposure. Baseline patient characteristics, complications, and outcomes were reported and compared. RESULTS: 6461 patients underwent MT for LVO. 2311 (35.8%) patients had comorbid AF. In non-AF patients, bridging therapy improved the odds of good 90 day functional outcomes (adjusted OR (aOR) 1.29, 95% CI 1.03 to 1.60, p=0.025) and did not increase hemorrhagic complications. In AF patients, bridging therapy led to significant increases in symptomatic intracranial hemorrhage and parenchymal hematoma type 2 (aOR 1.66, 1.07 to 2.57, p=0.024) without any benefit in 90 day functional outcomes. Similar findings were noted in a separate propensity score analysis. CONCLUSION: In this large thrombectomy registry, AF patients exposed to IVT before MT had increased hemorrhagic complications without improved functional outcomes, in contrast with non-AF patients. Prospective trials are warranted to assess whether AF patients represent a subgroup of LVO patients who may benefit from a direct to thrombectomy approach at thrombectomy capable centers