Discovery and Strategic Partnership Group Concept Mapping: 2014-2015 Progress Report

In 2014, New York State received funding from the U.S. Department of Education, Office of Special Education and Rehabilitative Services to begin the NYS PROMISE (Promote the Readiness of Minors in Supplemental Security Income) research initiative. The goal of this initiative is to coordinate the system of support surrounding these youths to better catalyze their potential to transition from Supplemental Security Income (SSI) to a sustainable future of living and earning as independent adults. To guide strategy and support PROMISE priorities over the course of the initiative, NYS PROMISE convened the NYS PROMISE Steering Committee, comprised of appointed liaisons from agencies who are connected to the NYS PROMISE initiative. To support sustainable partnership development for greater progress and impact on the goals of NYS PROMISE, the Steering Committee engaged in a structured, time sensitive strategic planning and partnership framework development effort. To develop the elements of a prioritized strategy, the group used Group Concept Mapping (GCM), and constructed a visual framework, or concept map, that served as the basis for prioritization and strategy development throughout the process. The GCM approach employs a group process to capture individual contributions for consensus around a given topic, using a structured approach with a specific sequence of steps that support timely and consistent engagement in the process. GCM incorporates opinions and values, and presents the results in ways that are understandable and usable. 25 individuals from 8 member agencies took part in the concept map development, contributing elements in response to the following prompt: “To yield enduring individual outcomes, a viable system to support youth with disabilities in their transition from high school to successful adult lives needs to include…

Lake Victoria Fisheries Management Plan

The purpose of this Fisheries Management Plan (FMP) within the Lake Victoria Fisheries Research Project was to sustain the livelihoods of the communities who depend on the fishery resources of the lake and to reduce poverty, food insecurity and unemployment. To achieve this goals, a better management of the resources, which would mobilize and include stakeholders at local, regional, national and international level was believed to be the right strategy for success. (PDF contains 79 pages

Agile Requirements Engineering: A systematic literature review

Nowadays, Agile Software Development (ASD) is used to cope with increasing complexity in system development. Hybrid development models, with the integration of User-Centered Design (UCD), are applied with the aim to deliver competitive products with a suitable User Experience (UX). Therefore, stakeholder and user involvement during Requirements Engineering (RE) are essential in order to establish a collaborative environment with constant feedback loops. The aim of this study is to capture the current state of the art of the literature related to Agile RE with focus on stakeholder and user involvement. In particular, we investigate what approaches exist to involve stakeholder in the process, which methodologies are commonly used to present the user perspective and how requirements management is been carried out. We conduct a Systematic Literature Review (SLR) with an extensive quality assessment of the included studies. We identified 27 relevant papers. After analyzing them in detail, we derive deep insights to the following aspects of Agile RE: stakeholder and user involvement, data gathering, user perspective, integrated methodologies, shared understanding, artifacts, documentation and Non-Functional Requirements (NFR). Agile RE is a complex research field with cross-functional influences. This study will contribute to the software development body of knowledge by assessing the involvement of stakeholder and user in Agile RE, providing methodologies that make ASD more human-centric and giving an overview of requirements management in ASD.Ministerio de Economía y Competitividad TIN2013-46928-C3-3-RMinisterio de Economía y Competitividad TIN2015-71938-RED

Competition Law Enforcement in China: Between Technocracy and Industrial Policy

The article provides a rare reconstruction of a number of early cases decided under the Chinese Anti-Monopoly Law. In particular, the article seeks to go behind the published decisions of the responsible authorities, to reconstruct their decision-making process in particular by identifying the sources of consultation and the arguments that various stakeholders presented to the authorities about what course of action to follow

Collective action and property rights for sustainable development:

John W. Bruce.Collective behavior, Property rights, Public goods, Agroforestry, Irrigation, Fisheries, Forest management, Rangelands, plant genetic resources, Pests Management, Watersheds, Agribusiness, extension activities, extension-research linkages, Collective action, Environmental management, Devolution, Gender, Capacity,

Responsible Design Patterns for Machine Learning Pipelines

Integrating ethical practices into the AI development process for artificial intelligence (AI) is essential to ensure safe, fair, and responsible operation. AI ethics involves applying ethical principles to the entire life cycle of AI systems. This is essential to mitigate potential risks and harms associated with AI, such as algorithm biases. To achieve this goal, responsible design patterns (RDPs) are critical for Machine Learning (ML) pipelines to guarantee ethical and fair outcomes. In this paper, we propose a comprehensive framework incorporating RDPs into ML pipelines to mitigate risks and ensure the ethical development of AI systems. Our framework comprises new responsible AI design patterns for ML pipelines identified through a survey of AI ethics and data management experts and validated through real-world scenarios with expert feedback. The framework guides AI developers, data scientists, and policy-makers to implement ethical practices in AI development and deploy responsible AI systems in production.Comment: 20 pages, 4 figures, 5 table

Chapter Securing the Home Energy Management Platform

Recently, many efforts have been done to chemically functionalize sensors surface to achieve selectivity towards diagnostics targets, such as DNA, RNA fragments and protein tumoural biomarkers, through the surface immobilization of the related specific receptor. Especially, some kind of sensors such as microcantilevers (gravimetric sensors) and one-dimensional photonics crystals (optical sensors) able to couple Bloch surface waves are very sensitive. Thus, any kind of surface modifications devoted to functionalize them has to be finely controlled in terms of mass and optical characteristics, such as refractive index, to minimize the perturbation, on the transduced signal, that can affect the response sensitivity towards the detected target species