VALUING COMMUNITY DEVELOPMENT THROUGH THE SOCIAL INCLUSION PROGRAMME (SICAP) 2015–2017 TOWARDS A FRAMEWORK FOR EVALUATION. ESRI RESEARCH SERIES NUMBER 77 FEBRUARY 2019

The Social Inclusion and Community Activation Programme (SICAP) represents a major component of Ireland’s community development strategy, led by the Department of Rural and Community Development (DRCD). The vision of SICAP is to improve the opportunities and life chances of those who are marginalised in society, experiencing unemployment or living in poverty through community development approaches, targeted supports and interagency collaboration, where the values of equality and inclusion are promoted and human rights are respected. In 2016, total expenditure on SICAP amounted to approximately €36 million (Pobal, 2016a). Using a mixed methodology, this report examines the extent to which community development programmes can or should be subject to evaluation, with a particular focus on SICAP. In doing so, the report draws on a rich body of information – including desk-based research; consultation workshops with members of local community groups (LCGs), local community workers (LCWs) and other key policy stakeholders; and an analysis of administrative data held by Pobal – on the characteristics of LCGs that received direct support under SICAP. The findings in this report relate to the delivery of the SICAP 2015–2017 programme which ended in December 2017. The aim of the study is to inform policy by shedding light on a number of issues including the following. Can community development be evaluated? What are the current metrics and methodologies suggested in the literature for evaluating community development interventions? What possible metrics can be used to evaluate community development interventions and how do these relate to the SICAP programme? How can a framework be developed that could potentially be used by SICAP for monitoring evaluation of its community development programme

Engineering data compendium. Human perception and performance. User's guide

The concept underlying the Engineering Data Compendium was the product of a research and development program (Integrated Perceptual Information for Designers project) aimed at facilitating the application of basic research findings in human performance to the design and military crew systems. The principal objective was to develop a workable strategy for: (1) identifying and distilling information of potential value to system design from the existing research literature, and (2) presenting this technical information in a way that would aid its accessibility, interpretability, and applicability by systems designers. The present four volumes of the Engineering Data Compendium represent the first implementation of this strategy. This is the first volume, the User's Guide, containing a description of the program and instructions for its use

Hate Speech Research: Algorithmic and Qualitative Evaluations. A Case Study of Anti-Gypsy Hate on Twitter

Hate speech may be the research focus of the interdisciplinary field of hate studies, but it is also a difficult phenomenon to define. Internationally, there are several detection studies on automatically detecting hate speech. They can be grouped according to two approaches: the first includes searching using only machine learning methods, while the second includes studies that combine automatic searching with human classification. The case study on anti-Gypsy hate in Italian on Twitter in the second half of 2020 falls into the second category, and its methods are outlined here. Based on the results (annotation as ‘hate’/‘non-hate’, identification of forms of rhetoric and anti-Gypsyism), the researchers propose classifying online content according to seven indicators called the ‘spectrum of online hate’