An Experimental Investigation into ‘Pledge and Review’ in Climate Negotiations

A novelty of the new Paris Agreement is the inclusion of a process for assessment and review of countries’ nationally determined pledges and contributions. The intent is to reveal whether similar countries are making comparable pledges, whether the totality of such pledges will achieve the global goal, and whether, over the coming years, the contributions actually made by countries will equal or exceed their pledges. The intent is also to provide an opportunity for countries to express their approval, or disapproval, of the pledges and contributions made by individual countries. Here we report the results of a lab experiment on the effects of such a process in a game in which players choose a group target, declare their individual pledges, and then make voluntary contributions to supply a public good. Our results show that a review process is more likely to affect targets and pledges than actual contributions. Even when a review process increases average contributions, the effect is relatively small. As the window for achieving the 2 °C goal will close soon, our results suggest that, rather than merely implement the Paris Agreement, negotiators should begin now to develop complementary approaches to limiting emissions, including the adoption of agreements that are designed differently than the one adopted in Paris.

Competitive Representative Claimsmaking: Party Politicians and Institutional Factors in the Case of EU Budget Negotiations

This study provides an empirical comparative case study of representative claims-making in EU budget negotiations. Two questions are addressed in this paper. First, the paper asks what the role of elected or appointed partisan politicians is in comparison to other representatives. This question is relevant given the reported increasing importance of non-elected representatives. Secondly, the paper asks what the influence of institutional factors is on the practice of representative claims-making. As representative claims-making unfolds in the public sphere, the institutional factors of the public sphere may affect both the claimants it provides a platform for as well as constituencies represented. The paper finds that politicians continue to perform a crucial role in representation, both with regards to their prominence in the public sphere and with regards to the plurality of constituencies represented in their claims. Although institutional factors clearly affect claimants, there are much less pronounced – though noticeable – differences in the constituencies represented in different public spheres. The overall picture is one of a highly plural representative space in which multiple claimants compete with each other to get their message across. In doing so, claimants address the interests of multiple constituencies. It may well be the inherent competition among claimants, fostered by institutional factors, that ensures the plurality of the EU representative space.

Response toolkit to provide an active response against intrusions using Ontology-Based IRS

Los sistemas de respuesta activa tienen por objetivo ejecutar una respuesta en contra de una intrusión de forma automática. Sin embargo, ejecutar una respuesta automáticamente no es una tarea trivial ya que el costo de ejecutar una respuesta podría ser más grande que el efecto que cause la intrusión propiamente dicha. También, el sistema debe contar con un amplio conjunto de acciones de respuesta y un algoritmo que seleccione la respuesta óptima. Este artículo propone un toolkit de respuestas que será integrado a un IRS basado en Ontologías para permitir la ejecución automática de la mejor respuesta cuando una intrusión es detectada. Se presenta un conjunto de respuestas basadas en host y basadas en red que pueden ser ejecutadas por el IRS, dicha ejecución es llevada a cabo mediante agentes basados en plugins que han sido distribuidos en la red. Finalmente, se realiza la verificación del sistema propuesto, tomando como caso de uso un ataque de defacement obteniéndose resultados satisfactorios.

An ontology for risk management of digital collections

Maintaining accessibility to and understanding of digital information over time is a complex challenge that often requires contributions and interventions from a variety of individuals and organizations. The processes of preservation planning and evaluation are fundamentally implicit and share similar complexity. Both demand comprehensive knowledge and understanding of every aspect of to-be-preserved content and the contexts within which preservation is undertaken. Consequently, means are required for the identification, documentation and association of those properties of data, representation and management mechanisms that in combination lend value, facilitate interaction and influence the preservation process. These properties may be almost limitless in terms of diversity, but are integral to the establishment of classes of risk exposure, and the planning and deployment of appropriate preservation strategies. We explore several research objectives within the course of this thesis. Our main objective is the conception of an ontology for risk management of digital collections. Incorporated within this are our aims to survey the contexts within which preservation has been undertaken successfully, the development of an appropriate methodology for risk management, the evaluation of existing preservation evaluation approaches and metrics, the structuring of best practice knowledge and lastly the demonstration of a range of tools that utilise our findings. We describe a mixed methodology that uses interview and survey, extensive content analysis, practical case study and iterative software and ontology development. We build on a robust foundation, the development of the Digital Repository Audit Method Based on Risk Assessment. We summarise the extent of the challenge facing the digital preservation community (and by extension users and creators of digital materials from many disciplines and operational contexts) and present the case for a comprehensive and extensible knowledge base of best practice. These challenges are manifested in the scale of data growth, the increasing complexity and the increasing onus on communities with no formal training to offer assurances of data management and sustainability. These collectively imply a challenge that demands an intuitive and adaptable means of evaluating digital preservation efforts. The need for individuals and organisations to validate the legitimacy of their own efforts is particularly prioritised. We introduce our approach, based on risk management. Risk is an expression of the likelihood of a negative outcome, and an expression of the impact of such an occurrence. We describe how risk management may be considered synonymous with preservation activity, a persistent effort to negate the dangers posed to information availability, usability and sustainability. Risk can be characterised according to associated goals, activities, responsibilities and policies in terms of both their manifestation and mitigation. They have the capacity to be deconstructed into their atomic units and responsibility for their resolution delegated appropriately. We continue to describe how the manifestation of risks typically spans an entire organisational environment, and as the focus of our analysis risk safeguards against omissions that may occur when pursuing functional, departmental or role-based assessment. We discuss the importance of relating risk-factors, through the risks themselves or associated system elements. To do so will yield the preservation best-practice knowledge base that is conspicuously lacking within the international digital preservation community. We present as research outcomes an encapsulation of preservation practice (and explicitly defined best practice) as a series of case studies, in turn distilled into atomic, related information elements. We conduct our analyses in the formal evaluation of memory institutions in the UK, US and continental Europe. Furthermore we showcase a series of applications that use the fruits of this research as their intellectual foundation. Finally we document our results in a range of technical reports and conference and journal articles. We present evidence of preservation approaches and infrastructures from a series of case studies conducted in a range of international preservation environments. We then aggregate this into a linked data structure entitled PORRO, an ontology relating preservation repository, object and risk characteristics, intended to support preservation decision making and evaluation. The methodology leading to this ontology is outlined, and lessons are exposed by revisiting legacy studies and exposing the resource and associated applications to evaluation by the digital preservation community.

Fast-Track Authority and International Trade Negotiations

Fast Track Authority (FTA) is the institutional procedure in the Unites States whereby Congress grants to the President the power to negotiate international trade agreements. Under FTA, Congress can only approve or reject negotiated trade deals, with no possibility of amending them. In this paper, we examine the determinants of FTA voting decisions and the implications of this institutional procedure for trade negotiations. We describe a simple two-country trade model, in which industries are unevenly distributed across con- stituencies. In the foreign country, trade negotiating authority is delegated to the executive, while in the home country Congress can retain the power to amend trade agreements. We show that legislators’ FTA voting behavior depends on the trade policy interests of their own constituencies as well as those of the majority of Congress. Empirical analysis of the determinants of all FTA votes between 1974 (when fast track was first introduced) and 2002 (when it was last granted) provides strong support for the predictions of our model.

Ontology-Based Workflow Design for the Coordination of Homecare Interventions

Part 20: Health and Care Networks

Building an Ontology of Product/Service-Systems: Using a Maritime Case Study to Elicit Classifications and Characteristics

Part 4: Transition Towards Product-Service Systems

The Arduous Process of Climate Change Negotiations: How Science Can Facilitate the Desired Outcome

Effective interaction between climate science and policy is important for moving climate negotiations forward to reach an ambitious global climate change deal. Lack of progress in the United Nations Framework Convention on Climate Change (UNFCCC) negotiations during recent years is a good reason for taking a closer look at the process of climate science–policy interaction to identify and eliminate existing shortcomings hindering climate policymaking. This paper examines the current state of climate science–policy interaction and suggests ways to integrate scientific input into the UNFCCC process more effectively. Suggestions relate to improvement in institutional structures, processes and procedures of the UNFCCC and the Intergovernmental Panel on Climate Change (IPCC), quality of scientific input, credibility of scientific message and public awareness of climate change.

Ontology forecasting in scientific literature:semantic concepts prediction based on innovation-adoption priors

The ontology engineering research community has focused for many years on supporting the creation, development and evolution of ontologies. Ontology forecasting, which aims at predicting semantic changes in an ontology, represents instead a new challenge. In this paper, we want to give a contribution to this novel endeavour by focusing on the task of forecasting semantic concepts in the research domain. Indeed, ontologies representing scientific disciplines contain only research topics that are already popular enough to be selected by human experts or automatic algorithms. They are thus unfit to support tasks which require the ability of describing and exploring the forefront of research, such as trend detection and horizon scanning. We address this issue by introducing the Semantic Innovation Forecast (SIF) model, which predicts new concepts of an ontology at time t + 1, using only data available at time t. Our approach relies on lexical innovation and adoption information extracted from historical data. We evaluated the SIF model on a very large dataset consisting of over one million scientific papers belonging to the Computer Science domain: the outcomes show that the proposed approach offers a competitive boost in mean average precision-at-ten compared to the baselines when forecasting over 5 years.

Explaining the Outcomes of Negotiations of Economic Partnership Agreements between the European Union and the African, Caribbean and Pacific Regional Economic Communities - Comparing EU-CARIFORUM and EU-ECOWAS EPAs

The European Commission has been negotiating Economic Partnership Agreements (EPAs) with Regional Economic Communities of African, Caribbean and Pacific Group of States since 2002. The outcomes have been mixed. The negotiations with the Caribbean Forum (CARIFORUM) concluded rather more quickly than was initially envisaged, whereas negotiations with West African Economic Community (ECOWAS) and the remaining ACP regions have been dragging on for several years. This research consequently addresses the key question of what accounts for the variations in the EPA negotiation outcomes, making use of a comparative research approach. It evaluates the explanatory power of three research variables in accounting for the variation in the EPA negotiations outcomes – namely, Best Alternative to the Negotiated Agreement (BATNA); negotiation strategies; and the issues linkage approach – which are deduced from negotiation theory. Principally, the study finds that, the outcomes of the EPA negotiations predominantly depended on the presence or otherwise of a “Best Alternative” to the proposed EPA; that is then complemented by the negotiation strategies pursued by the parties, and the joint application of issues linkage mechanism which facilitated a sense of mutual benefit from the agreements.

Forms, Foundations, and the Ethos of Foremost: Zen Practice, Epistemology, and Ontology in Reflective Knowledge Organization

In reflecting on the practice of knowledge organization, we tacitly or explicitly root our conceptions of work and its value in some epistemic and ontological foundation. Zen Buddhist philosophy offers a unique set of conceptions vis-à-vis organizing, indexing, and describing documents.When we engage in knowledge organization, we are setting our mind to work with an intention. We intend to make some sort of intervention. We then create a form a realization of an abstraction (like classes or terms) [1], we do this from a foundation of some set of beliefs (epistemology, ontology, and ethics), and because we have to make decisions about what to privilege, we need to decide what is foremost in our minds. We must ask what is the most important thing?Form, foundation, and the ethos of foremost require evoke in our reflection on work number of ethical, epistemic, and ontological concerns that ripple throughout our conceptions of space, “good work”, aesthetics, and moral mandate [2,3]. We reflect on this.

Multicultural work environment as a key in cross-cultural negotiations and organizations’ performance: Canada overview

Es necesario que los gerentes sean líderes y establezcan relaciones sólidas con los empleados, para luego establecer las mismas con socios potenciales. Para lograr este objetivo, Con el fin de cumplir este objetivo, el uso de estrategias y técnicas de negociación es crucial, así como la importancia de la conciencia cultural y de la diversidad. La globalización no sólo ha movido a los mercados sino también a las personas, la inmigración es un fenómeno fuerte hoy en día y varios países, como Canadá, han sido inclusivos y han apoyado a estos nuevos ciudadanos. Las empresas de Canadá, sin importar la industria, han asumido el reto de integrar una fuerza laboral diversa con el propósito de adquirir nuevos conocimientos y crecer a nivel nacional, pero sobre todo en el ámbito internacional. Igualmente, es esencial tener en cuenta las ventajas y limitaciones del multiculturalismo dentro de la empresa y específicamente en las negociaciones interculturales.

Empirical ontology design patterns

Knowledge graphs (KGs) and ontologies have been widely adopted for modelling numerous domains. However, understanding the content of an ontology/KG is far from straightforward: existing methods partially address this issue. This thesis is based on the assumption that identifying the Ontology Design Patterns (ODPs) in an ontology or a KG contributes to address this problem. Most times, the reused ODPs are not explicitly annotated, or their reuse is unintentional. Therefore, there is a challenge to automatically identify ODPs in existing ontologies and KGs, which is the main focus of this research work. This thesis analyses the role of ODPs in ontology engineering, through experiences in actual ontology projects, placing this analysis in the context of existing ontology reuse approaches. Moreover, this thesis introduces a novel method for extracting empirical ODPs (EODPs) from ontologies, and a novel method for extracting EODPs from knowledge graphs, whose schemas are implicit. The first method groups the extracted EODPs in clusters: conceptual components. Each conceptual component represents a modelling problem, e.g. representing collections. As EODPs are fragments possibly extracted from different ontologies, some of them will fall in the same cluster, meaning that they are implemented solutions to the same modelling problem. EODPs and conceptual components enable the empirical observation and comparison of modelling solutions to common modelling problems in different ontologies. The second method extracts EODPs from a KG as sets of probabilistic axioms/constraints involving the ontological entities instantiated. These EODPs may support KG inspection and comparison, providing insights on how certain entities are described in a KG. An additional contribution of this thesis is an ontology for annotating ODPs in ontologies and KGs.

Supporting requirement elicitation and ontology testing in knowledge graph engineering

Knowledge graphs and ontologies are closely related concepts in the field of knowledge representation. In recent years, knowledge graphs have gained increasing popularity and are serving as essential components in many knowledge engineering projects that view them as crucial to their success. The conceptual foundation of the knowledge graph is provided by ontologies. Ontology modeling is an iterative engineering process that consists of steps such as the elicitation and formalization of requirements, the development, testing, refactoring, and release of the ontology. The testing of the ontology is a crucial and occasionally overlooked step of the process due to the lack of integrated tools to support it. As a result of this gap in the state-of-the-art, the testing of the ontology is completed manually, which requires a considerable amount of time and effort from the ontology engineers. The lack of tool support is noticed in the requirement elicitation process as well. In this aspect, the rise in the adoption and accessibility of knowledge graphs allows for the development and use of automated tools to assist with the elicitation of requirements from such a complementary source of data. Therefore, this doctoral research is focused on developing methods and tools that support the requirement elicitation and testing steps of an ontology engineering process. To support the testing of the ontology, we have developed XDTesting, a web application that is integrated with the GitHub platform that serves as an ontology testing manager. Concurrently, to support the elicitation and documentation of competency questions, we have defined and implemented RevOnt, a method to extract competency questions from knowledge graphs. Both methods are evaluated through their implementation and the results are promising.