Empowering Active Learning to Jointly Optimize System and User Demands

Existing approaches to active learning maximize the system performance by sampling unlabeled instances for annotation that yield the most efficient training. However, when active learning is integrated with an end-user application, this can lead to frustration for participating users, as they spend time labeling instances that they would not otherwise be interested in reading. In this paper, we propose a new active learning approach that jointly optimizes the seemingly counteracting objectives of the active learning system (training efficiently) and the user (receiving useful instances). We study our approach in an educational application, which particularly benefits from this technique as the system needs to rapidly learn to predict the appropriateness of an exercise to a particular user, while the users should receive only exercises that match their skills. We evaluate multiple learning strategies and user types with data from real users and find that our joint approach better satisfies both objectives when alternative methods lead to many unsuitable exercises for end users.Comment: To appear as a long paper in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Download our code and simulated user models at github: https://github.com/UKPLab/acl2020-empowering-active-learnin

A Distributed Demand-Side Management Framework for the Smart Grid

This paper proposes a fully distributed Demand-Side Management system for Smart Grid infrastructures, especially tailored to reduce the peak demand of residential users. In particular, we use a dynamic pricing strategy, where energy tariffs are function of the overall power demand of customers. We consider two practical cases: (1) a fully distributed approach, where each appliance decides autonomously its own scheduling, and (2) a hybrid approach, where each user must schedule all his appliances. We analyze numerically these two approaches, showing that they are characterized practically by the same performance level in all the considered grid scenarios. We model the proposed system using a non-cooperative game theoretical approach, and demonstrate that our game is a generalized ordinal potential one under general conditions. Furthermore, we propose a simple yet effective best response strategy that is proved to converge in a few steps to a pure Nash Equilibrium, thus demonstrating the robustness of the power scheduling plan obtained without any central coordination of the operator or the customers. Numerical results, obtained using real load profiles and appliance models, show that the system-wide peak absorption achieved in a completely distributed fashion can be reduced up to 55%, thus decreasing the capital expenditure (CAPEX) necessary to meet the growing energy demand

The edge cloud: A holistic view of communication, computation and caching

The evolution of communication networks shows a clear shift of focus from just improving the communications aspects to enabling new important services, from Industry 4.0 to automated driving, virtual/augmented reality, Internet of Things (IoT), and so on. This trend is evident in the roadmap planned for the deployment of the fifth generation (5G) communication networks. This ambitious goal requires a paradigm shift towards a vision that looks at communication, computation and caching (3C) resources as three components of a single holistic system. The further step is to bring these 3C resources closer to the mobile user, at the edge of the network, to enable very low latency and high reliability services. The scope of this chapter is to show that signal processing techniques can play a key role in this new vision. In particular, we motivate the joint optimization of 3C resources. Then we show how graph-based representations can play a key role in building effective learning methods and devising innovative resource allocation techniques.Comment: to appear in the book "Cooperative and Graph Signal Pocessing: Principles and Applications", P. Djuric and C. Richard Eds., Academic Press, Elsevier, 201

APFIC Regional Workshop on "Mainstreaming Fisheries Co-management"

This is the report of the APFIC regional workshop on "Mainstreaming fisheries co-management" held in Siem Reap, Cambodia from August 9-12, 2005 . The goal of the workshop was to provide a forum to learn from past experience and to promote devolved management of fisheries. Participants at the workshop had the opportunity to be exposed to a range of coastal and inland fisheries co-management interventions and the elaboration of approaches needed to make fisheries co-management a "mainstream" activity in developing countries. The objective of the workshop was to develop summary conclusions on the status of co-management in the region and provide some concrete recommendations for action towards mainstreaming fishery co-management in the Asia-Pacific region. The report contains the action plan and recommendations of the workshop. Many agencies (both governmental and non-governmental) are striving to improve the livelihoods of poor people that are dependent on aquatic resources by including these stakeholders in the planning and implementation of fisheries management. Many states have adopted decentralization as the way to implement future fisheries management, especially in developing countries, which often involves a partnership between government and the local communities, i.e. a co-management approach. The challenge is to find a way for co-management to become a mainstream practice of both government and non-government organizations and communities

Digital Theatre Meets Classical Reception in a Multimodal and Transmedial Approach to English Literacy

The present paper puts forth and delineates a research project at the first stages of its development, with a view to attracting constructive feedback for it. The project builds on the intersection of four lines of scholarship and practice: 1. Digital Theatre in Education; 2. Classical Reception (contemporary Anglophone reception of Greek tragic literature); 3. Adult Education; 4. English as a Foreign Language (EFL) education. It employs mainly the methodology of action research and, by means of it, seeks to develop an alternative model for teaching EFL to adult learners. The said model integrates and jointly implements Theatre in Education methods (specifically, those of Process Drama) and Classical Reception resources (both Greek tragic ante-texts in English translation and their Anglophone revisions), with digital and media technologies, in the light of recent developments in Multiliteracies Pedagogy and Transformative Learning Theory. The practice-based research in question advances a socially engaged EFL model that brings together Digital Theatre in Education and the pedagogical potential of Classical Reception to serve the educational needs of adult learners studying in Greek Second Chance Schools, targeting especially those coming from disadvantaged backgrounds. This paper discusses the theoretical basis and framework of the project, as well as its methodological contours. It also calls attention to its scientific and social contribution and touches upon its innovative aspects.  

Social media engagement strategy : Investigation of marketing and R&D interfaces in manufacturing industry

Research shows that effective marketing and R&D interface is pivotal in a company's new product development performance and future competitiveness. The increased popularity of social media promised to enhance interaction, collaboration, and networking between the two functions. However, there is limited knowledge regarding the key activities, infrastructure requirements, and potential benefits of social media in the marketing and R&D interface. This study aims to advance the current understanding of social media engagement strategies, which facilitates improved marketing and R&D interfaces and ultimately NPD performance for manufacturing companies. Based on a multiple-case study in two manufacturing companies, this study first presents the role of social media in facilitating improved marketing and R&D interface within a B2B context. Second, it presents the adoption process of the social media engagement strategy for an evolving marketing and R&D interface. The adoption process is divided into three phases, namely coordination, cooperation, and coproduction, to provide detailed insights regarding full-scale social media engagement. Taken together, the study provides novel insights into industrial marketing management literature by exemplifying the role of social media and proposing a systematic social engagement strategy for improved marketing and R&D interface in the manufacturing industry.fi=vertaisarvioitu|en=peerReviewed

Supporting Sustainable Virtual Network Mutations with Mystique

The abiding attempt of automation has also permeated the networks, with the ability to measure, analyze, and control themselves in an automated manner, by reacting to changes in the environment (e.g., demand). When provided with these features, networks are often labeled as "self-driving" or "autonomous". In this regard, the provision and orchestration of physical or virtual resources are crucial for both Quality of Service (QoS) guarantees and cost management in the edge/cloud computing environment. To effectively manage the lifecycle of these resources, an auto-scaling mechanism is essential. However, traditional threshold-based and recent Machine Learning (ML)-based policies are often unable to address the soaring complexity of networks due to their centralized approach. By relying on multi-agent reinforcement learning, we propose Mystique, a solution that learns from the load on links to establish the minimal set of active network resources. As traffic demands ebb and flow, our adaptive and self-driving solution can scale up and down and also react to failures in a fully automated, flexible, and efficient manner. Our results demonstrate that the presented solution can reduce network energy consumption while providing an adequate service level, outperforming other benchmark auto-scaling approaches

A new digital divide threatening resilience: exploring the need for educational, firm-based, and societal investments in ICT human capital

The knowledge, skills, and abilities that human capital offers create tangible and intangible assets that equip organizations to thrive. In particular, in today’s Industry 4.0 environment, training, recruiting, and retaining highly qualified ICT-ready professionals remains a problem for many organizations including educational, governmental, healthcare, and business organizations. The COVID-19 pandemic revealed the importance of digital assets to our economies, and it is also demonstrating that there is potentially a new digital divide with even worse implications for companies, economies, and society, which is threatening the resilience of business, governance, and society. In this paper, we respond to the question “how can we develop ICT human capital in our global economy in an equitable, inclusive, and purposeful manner such that not organizations thrive, but also to promote social justice and equity in our global economy?”