A Collaborative Multiagent Framework based on Online Risk-Aware Planning and Decision-Making

Planning is an essential process in teams of multiple agents pursuing a common goal. When the effects of actions undertaken by agents are uncertain, evaluating the potential risk of such actions alongside their utility might lead to more rational decisions upon planning. This challenge has been recently tackled for single agent settings, yet domains with multiple agents that present diverse viewpoints towards risk still necessitate comprehensive decision making mechanisms that balance the utility and risk of actions. In this work, we propose a novel collaborative multi-agent planning framework that integrates (i) a team-level online planner under uncertainty that extends the classical UCT approximate algorithm, and (ii) a preference modeling and multicriteria group decision making approach that allows agents to find accepted and rational solutions for planning problems, predicated on the attitude each agent adopts towards risk. When utilised in risk-pervaded scenarios, the proposed framework can reduce the cost of reaching the common goal sought and increase effectiveness, before making collective decisions by appropriately balancing risk and utility of actions. 

Iowa Rural Health IT Collaborative "It Worker", December 19, 2012

The purpose of this paper is to share information about the Iowa Rural HIT Collaborative efforts to help rural hospitals and providers attain electronic medical records meaningful use status. Information from this paper can be helpful to others who are pursuing solutions related to integration of health information technology in rural areas.

Basi di conoscenza collaborative: il progetto Wikidata

Il lavoro svolto è motivato dall'esigenza di utilizzare strumenti per la gestione di grandi quantità di dati, disponibili in seguito alla diffusione del Web. Si sono analizzate le basi di conoscenza, definendone le caratteristiche comuni e presentando poi un confronto fra alcune delle più significative. Infine si è analizzato più dettagliatamente il progetto Wikidata.

“It’s the People That Drive It”: Motivating and Supporting Collaborative Data Use Practices in Three Teacher Education Programs

Thesis (Ph.D.)--University of Washington, 2016-08

Development of a Collaborative Platform for Art Education: From Pedagogy to Technology

We report on the development of a Java-based application devised to support collaborative learning of Art concepts and ideas over the Internet. Starting from an examination of the pedagogy of both Art education and collaborative learning we propose principles which are useful for the design and construction of a “lightweight” software application which supports interactive Art learning in groups. This application makes “dynamics” of an art work explicit, and supports group interaction with simple messaging and “chat” facilities. This application may be used to facilitate learning and teaching of Art, but also as a research tool to investigate the learning of Art and also the development and dynamics of collaborating groups. Evaluation of a pilot study of the use of our system with a group of 20 school children is presented.

Applications of a Collaborative Open Object Oriented Learning Environment to Electronics, Computing and Mathematics Education

A lightweight Java application suite has been developed and deployed allowing collaborative learning between students and tutors at remote locations. Students can engage in group activities online and also collaborate with tutors. A generic Java framework has been developed and applied to electronics, computing and mathematics education. The applications are respectively: (a) a digital circuit simulator, which allows students to collaborate in building simple or complex electronic circuits; (b) a Java programming environment where the paradigm is behavioural-based robotics, and (c) a differential equation solver useful in modelling of any complex and nonlinear dynamic system. Each student sees a common shared window on which may be added text or graphical objects and which can then be shared online. A built-in chat room supports collaborative dialogue. Students can work either in collaborative groups or else in teams as directed by the tutor. This paper summarises the technical architecture of the system as well as the pedagogical implications of the suite. A report of student evaluation is also presented distilled from use over a period of twelve months. We intend this suite to facilitate learning between groups at one or many institutions and to facilitate international collaboration. We also intend to use the suite as a tool to research the establishment and behaviour of collaborative learning groups. We shall make our software freely available to interested researchers.

Community perceptions of collaborative processes for managing freshwater resources

Six of New Zealand’s 16 regional councils are trialling collaborative planning as a means of addressing complex challenges in freshwater management. Although some work has been undertaken to evaluate similarities and differences across those processes, the success or failure rests with the public’s acceptance of the processes and their outcomes. This is the first study to evaluate public perceptions of freshwater management in regions with collaborative processes. We surveyed 450 respondents in Hawke’s Bay, Northland, and Waikato, some of whom live in catchments in which collaborative processes are under way and some of whom do not. In addition to assessing awareness of the collaborative planning processes, the survey measured perceptions regarding the regional council’s management of freshwater resources, the extent of agreement regarding freshwater management among various interests, the fairness of freshwater management, and the extent to which respondents believe that their interests and concerns are included in freshwater management. We hypothesized that relative to respondents in parts of the region in which traditional processes are in places, respondents in catchments with collaborative management of freshwater resources would have more positive perceptions of management, agreement, fairness, and interests, even if there is low awareness that a collaborative planning process is under way. Survey results indicate that knowledge of collaborative processes is generally low and that living in catchments with collaborative processes does not impact respondents’ perceptions of management, agreement, fairness, or interests in Northland or Waikato. However, relative to Hawke’s Bay respondents living outside of the collaborative catchment, respondents living inside the collaborative catchment believe that the regional council’s freshwater management is better and fairer. Moreover, Hawke’s Bay residents living inside the collaborative catchment perceive less conflict over freshwater management than Hawke’s Bay respondents living outside the collaborative catchment. Further research is needed to identify the reasons for this regional variation.

Collaborative Teacher Educator Professional Development in Europe: Different Voices, One Goal

In this paper we present an embedded case study focussed on the learning activities provided for and by us through our involvement in an international forum focused on the professional development of teacher educators. The aim of this research was to get more insights into the complicated processes of professional learning across national borders. Data included personal narratives about learning and documentary analysis of written accounts of the forums’ activities. Following a collaborative self-study approach we utilised an interactive exploration of the data, using coding techniques derived from grounded theory. We conclude that our professional learning can be seen through two inter-related perspectives. The first perspective is the interplay between our own learning and the ways in which we want to support colleagues in their professional development. The second perspective is the reciprocal effect of working in national as well as in transnational contexts. By studying our professional learning processes we developed insights in how a shared communal international forum can be established without losing individual voices and national perspectives. Moreover, by our involvement in an international forum we also continue to develop our own self-understanding as ‘educators of teacher educators’.

The Effects of Systematic Self-Monitoring, Feedback, and Collaborative Assessment on Stress Reduction

Thesis (Ph.D.)--University of Washington, 2016-08

Context-aware framework for collaborative applications

Future pervasive environments will take into consideration not only individual user’s interest, but also social relationships. In this way, pervasive communities can lead the user to participate beyond traditional pervasive spaces, enabling the cooperation among groups and taking into account not only individual interests, but also the collective and social context. Social applications in CSCW (Computer Supported Cooperative Work) field represent new challenges and possibilities in terms of use of social context information for adaptability in pervasive environments. In particular, the research describes the approach in the design and development of a context.aware framework for collaborative applications (CAFCA), utilizing user’s context social information for proactive adaptations in pervasive environments. In order to validate the proposed framework an evaluation was conducted with a group of users based on enterprise scenario. The analysis enabled to verify the impact of the framework in terms of functionality and efficiency in real-world conditions. The main contribution of this thesis was to provide a context-aware framework to support collaborative applications in pervasive environments. The research focused on providing an innovative socio-technical approach to exploit collaboration in pervasive communities. Finally, the main results reside in social matching capabilities for session formation, communication and coordinations of groupware for collaborative activities.

Evaluating the use of mobile collaborative augmented reality within field service networks: the case of Océ Italia – Canon Group

The adoption of Augmented Reality (AR) technologies can make the provision of field services to industrial equipment more effective. In these situations, the cost of deploying skilled technicians in geographically dispersed locations must be accurately traded off with the risks of not respecting the service level agreements with the customers. This paper, through the case study of a leading OEM in the production printing industry, presents the challenges that have to be faced in order to favour the adoption of a particular kind of AR named Mobile Collaborative Augmented Reality (MCAR). In particular, this study uses both qualitative and quantitative research. Firstly, a demonstration to show how MCAR can support field service was settled in order to achieve information about the use experience of the people involved. Then, the entire field force of Océ Italia – Canon Group was surveyed in order to investigate quantitatively the technicians’ perceptions about the usefulness and ease of use of MCAR, as well as their intentions to use this technology.

Microblogging Temporal Summarization: Filtering Important Twitter Updates for Breaking News

While news stories are an important traditional medium to broadcast and consume news, microblogging has recently emerged as a place where people can dis- cuss, disseminate, collect or report information about news. However, the massive information in the microblogosphere makes it hard for readers to keep up with these real-time updates. This is especially a problem when it comes to breaking news, where people are more eager to know “what is happening”. Therefore, this dis- sertation is intended as an exploratory effort to investigate computational methods to augment human effort when monitoring the development of breaking news on a given topic from a microblog stream by extractively summarizing the updates in a timely manner. More specifically, given an interest in a topic, either entered as a query or presented as an initial news report, a microblog temporal summarization system is proposed to filter microblog posts from a stream with three primary concerns: topical relevance, novelty, and salience. Considering the relatively high arrival rate of microblog streams, a cascade framework consisting of three stages is proposed to progressively reduce quantity of posts. For each step in the cascade, this dissertation studies methods that improve over current baselines. In the relevance filtering stage, query and document expansion techniques are applied to mitigate sparsity and vocabulary mismatch issues. The use of word embedding as a basis for filtering is also explored, using unsupervised and supervised modeling to characterize lexical and semantic similarity. In the novelty filtering stage, several statistical ways of characterizing novelty are investigated and ensemble learning techniques are used to integrate results from these diverse techniques. These results are compared with a baseline clustering approach using both standard and delay-discounted measures. In the salience filtering stage, because of the real-time prediction requirement a method of learning verb phrase usage from past relevant news reports is used in conjunction with some standard measures for characterizing writing quality. Following a Cranfield-like evaluation paradigm, this dissertation includes a se- ries of experiments to evaluate the proposed methods for each step, and for the end- to-end system. New microblog novelty and salience judgments are created, building on existing relevance judgments from the TREC Microblog track. The results point to future research directions at the intersection of social media, computational jour- nalism, information retrieval, automatic summarization, and machine learning.