The realization of human rights standards depends in part on the commitment of local actors. It can be argued that local public service professionals such as social workers can also be regarded as key players. The possible role of social workers becomes imperative if these professionals are working in a policy context that is not congruent with human rights. If existing laws or policies cause or maintain disrespect for human rights, social workers are in a position to observe that this is having an adverse impact on clients. When social workers are regarded as human rights actors, the question arises how they can or should respond to law and policy that impedes them in carrying out their work with respect for human rights. This article adds to existing theories on social workers as human rights actors by examining the practices of social professionals working in such a challenging policy context. The research took place among professionals in social district teams in the city of Utrecht, the Netherlands. Following a series of decentralizations and austerity measures the social care landscape in the Netherlands has changed drastically over the last few years. As a result, social workers may find themselves on the one hand trying to realize the best possible care for their clients while on the other hand dealing with new laws and policy expectations focused on self-reliance and diminished access to specialist care. The article explores how social professionals’ responses to barriers in access to care affect human rights requirements. In doing so, this socio-legal study provides insight into the ways in which everyday social work relates to the realization of human rights at the local level.
The role of smart cities in order to improve older people’s quality of life, sustainability and opportunities, accessibility, mobility, and connectivity is increasing and acknowledged in public policy and private sector strategies in countries all over the world. Smart cities are one of the technological-driven initiatives that may help create an age-friendly city. Few research studies have analysed emerging countries in terms of their national strategies on smart or age-friendly cities. In this study, Romania which is predicted to become one of the most ageing countries in the European Union is used as a case study. Through document analysis, current initiatives at the local, regional, and national level addressing the issue of smart and age-friendly cities in Romania are investigated. In addition, a case study is presented to indicate possible ways of the smart cities initiatives to target and involve older adults. The role of different stakeholders is analysed in terms of whether initiatives are fragmentary or sustainable over time, and the importance of some key factors, such as private–public partnerships and transnational bodies. The results are discussed revealing the particularities of the smart cities initiatives in Romania in the time frame 2012–2020, which to date, have limited connection to the age-friendly cities agenda. Based on the findings, a set of recommendations are formulated to move the agenda forward. CC-BY Original article: https://doi.org/10.3390/ijerph17145202 (This article belongs to the Special Issue Feature Papers "Age-Friendly Cities & Communities: State of the Art and Future Perspectives") https://www.dehaagsehogeschool.nl/onderzoek/lectoraten/details/urban-ageing#over-het-lectoraat
MULTIFILE
Within PREMIUM_EU we have co-responsibility for developing the Regional Development Effects Module (RDEM). This module will map the impact of migration on regional development seen on different variables. To construct the RDEM we have to:1. develop a typology of regions, based on the impact that mobility has on its economic, social and cultural development; and2. detect the causal linkages between regional mobility on the one hand and regional development on the other.In our presentation we will focus on the process to determine relevant regional development indicators that will help in the collection and analysis of relevant data for the period 2010-2022 on NUTS 2 and 3 level. Partners in our project will additionally focus on:1. Analysis of regional networks estimated from Facebook2. Building typology regional development3. Longitudinal causal analysis of mobility4. Integration of case studiesFinally, this will result in:• Online atlas of mobility & development typologies• Report Causal Analysis of mobility development
