Assessing framing of uncertainties in water management practice

Dealing with uncertainties in water management is an important issue and is one which will only increase in light of global changes, particularly climate change. So far, uncertainties in water management have mostly been assessed from a scientific point of view, and in quantitative terms. In this paper, we focus on the perspectives from water management practice, adopting a qualitative approach. We consider it important to know how uncertainties are framed in water management practice in order to develop practice relevant strategies for dealing with uncertainties. Framing refers to how people make sense of the world. With the aim of identifying what are important parameters for the framing of uncertainties in water management practice, in this paper we analyze uncertainty situations described by decision-makers in water management. The analysis builds on a series of ¿Uncertainty Dialogues¿ carried out within the NeWater project with water managers in the Rhine, Elbe and Guadiana basins in 2006. During these dialogues, representatives of these river basins were asked what uncertainties they encountered in their professional work life and how they confronted them. Analysing these dialogues we identified several important parameters of how uncertainties get framed. Our assumption is that making framing of uncertainty explicit for water managers will allow for better dealing with the respective uncertainty situations. Keywords Framing - Uncertainty - Water management practic

Challenging Neural Dialogue Models with Natural Data: Memory Networks Fail on Incremental Phenomena

Natural, spontaneous dialogue proceeds incrementally on a word-by-word basis; and it contains many sorts of disfluency such as mid-utterance/sentence hesitations, interruptions, and self-corrections. But training data for machine learning approaches to dialogue processing is often either cleaned-up or wholly synthetic in order to avoid such phenomena. The question then arises of how well systems trained on such clean data generalise to real spontaneous dialogue, or indeed whether they are trainable at all on naturally occurring dialogue data. To answer this question, we created a new corpus called bAbI+ by systematically adding natural spontaneous incremental dialogue phenomena such as restarts and self-corrections to the Facebook AI Research's bAbI dialogues dataset. We then explore the performance of a state-of-the-art retrieval model, MemN2N, on this more natural dataset. Results show that the semantic accuracy of the MemN2N model drops drastically; and that although it is in principle able to learn to process the constructions in bAbI+, it needs an impractical amount of training data to do so. Finally, we go on to show that an incremental, semantic parser -- DyLan -- shows 100% semantic accuracy on both bAbI and bAbI+, highlighting the generalisation properties of linguistically informed dialogue models.Comment: 9 pages, 3 figures, 2 tables. Accepted as a full paper for SemDial 201

Arguing Using Opponent Models

Peer reviewedPostprin

Improving intercultural communication skills: A challenge facing institutions of higher education in the 21st century

Following discussion of the rationales for improving students' intercultural communication skills, this article described how the professors at the University of Rhode Island and their counterparts around the world use the Internet as a mechanism for improving a student's intercultural awareness and sensitivity. Using the Internet, students here and abroad debate on timely, relevant topics to become aware of how people of different cultures see things differently. In addition, they write and exchange cross-cultural dialogues and explanatory notes to become interculturally sensitive. In this way, the students meet with their future partners of the global workplace, while honing their computer skills, writing skills, and enhancing their intercultural awareness and sensitivity. However, those in higher education who want to implement this kind of Internet-based teaching technique on a permanent basis must first address several difficult issues, including how to find like-minded professors here and abroad who are willing to participate. If correctly used over time, these techniques (international e-mail debate and cross-cultural dialogues) can improve students' intercultural awareness and sensitivity. Assessment of whether or not this improvement lasts over a period of time presents a quantitative problem. Defining intercultural sensitivity practically and satisfactorily is the first task facing educators interested in following this path toward improved communication. One of the greatest challenges facing the institutions of higher education of the 21st Century is how to improve intercultural communication skills of their students. Accompanied by a yet-to-be-developed instrument for quantitative measurement of long-term outcomes, projects like the international e-mail debate and cross-cultural dialogue may well become the tools for understanding and negotiation in the new global environment. --

The antinomies of aggressive atheism

The spate of popular books attacking religion can be seen as a manifestation of the recoil against the idea of multiculturalism. Religious identities are also cultural identities, and no meaningful form of multiculturalism is possible that leaves religion outside the sphere of public recognitiom. This paper argues that 'aggressive atheism' undermines its appeal to reason by refusing to see anything of value in religion. It also risks exacerbating cultural differences at a time when reconciliation is needed. The critique focuses on the contribution of Richard Dawkins and examines a number of tensions within the aggressive atheism of his best-selling book The God Delusion. The second part of the paper introduces an alternative, a framework of reconciliatory dialogues, between atheism and religion and within religious communities, operating not just at a formal or institutional level but also in cultural expressions and in the practices of everyday life

A Machine Learning Approach to the Classification of Dialogue Utterances

The purpose of this paper is to present a method for automatic classification of dialogue utterances and the results of applying that method to a corpus. Superficial features of a set of training utterances (which we will call cues) are taken as the basis for finding relevant utterance classes and for extracting rules for assigning these classes to new utterances. Each cue is assumed to partially contribute to the communicative function of an utterance. Instead of relying on subjective judgments for the tasks of finding classes and rules, we opt for using machine learning techniques to guarantee objectivity.Comment: 12 pages, using nemlap.sty, harvard.sty and agsm.bst, to appear in Proceedings of NeMLaP-2, Bilkent University, Ankara, Turke

Sustainable Participation? Mapping out and reflecting on the field of public dialogue on science and technology

The field of public participation in issues relating to science, technology and the environment is booming. To date much effort has gone into developing new participatory approaches and their evaluation, while most of what we know comes from individual case studies of engagement. This report builds on one of the first ever studies of public participation experts, their networks, roles and relations, to present a broader analysis of the UK public dialogue field as a whole. It draws on a recent project that involved 21 of the UK’s leading thinkers, practitioners, and policy makers in this area reflecting on the following critical questions. • What is the nature of participatory governance networks and the roles and relations of different actors within them? • Who counts as an expert on public participation and how are these meanings changing over time? • What are the implications of increasing institutionalisation, commercialisation and professionalisation of public dialogue? • To what extent are UK science and policy institutions learning about and learning from public dialogue? Taken together, these insights indicate that the field of public dialogue on science and technology has reached a critical moment and highlight a series of challenges and recommendations for its future sustainability

Amplifying Quiet Voices: Challenges and Opportunities for Participatory Design at an Urban Scale

Many Smart City projects are beginning to consider the role of citizens. However, current methods for engaging urban populations in participatory design activities are somewhat limited. In this paper, we describe an approach taken to empower socially disadvantaged citizens, using a variety of both social and technological tools, in a smart city project. Through analysing the nature of citizens’ concerns and proposed solutions, we explore the benefits of our approach, arguing that engaging citizens can uncover hyper-local concerns that provide a foundation for finding solutions to address citizen concerns. By reflecting on our approach, we identify four key challenges to utilising participatory design at an urban scale; balancing scale with the personal, who has control of the process, who is participating and integrating citizen-led work with local authorities. By addressing these challenges, we will be able to truly engage citizens as collaborators in co-designing their city

Difficult Dialogues: The Technologies and Limits of Reconciliation

Projects known as dialogue or reconciliation build on the common ground between members of historically adversarial groups to help overcome vicious cycles of retaliation. This chapter compares observations from two studies of religious and religio-ethnic communities. The more recent is a qualitative study of American Jews\u27 understandings and experiences of anti-Semitism and how it relates to politics, particularly around the Israeli–Palestinian conflict. It compares some of the findings from this study with findings that emerged in earlier ethnographic research on debates about homosexuality within the United Methodist Church. The chapter explores the intersection of politics with the self, which sociological theories of the self have generally ignored