Conclusion

Author(s):  
Simone Baglioni ◽  
Stephen Sinclair

This chapter summarises the recurring themes and lessons from the preceding substantive chapters and reflects upon their implications for public policy and analysis. The chapter argues that social innovations provide many examples of imaginative and inspirational responses to the serious challenges confronting national welfare systems. The energy and commitment of social innovations are admirable, and their participatory approach to policy development and delivery, which empowers service users, is particularly valuable. However, the chapter notes that it is often difficult to evaluate the impact and relative cost-effectiveness of social innovations. Many have diffuse aims and multiple objectives. Also, as many social innovations operate at a local community level, they address the manifestations rather than the structural causes of problems. The chapter concludes by suggesting that most social innovations operate within rather challenge their existing socio-economic infrastructure and political environments. Currently they may complement but cannot replace existing public welfare systems.

2015 ◽  
Vol 10 (5) ◽  
pp. 337-348 ◽  
Author(s):  
Mark Bertram ◽  
Sarah McDonald

Purpose – The purpose of this paper is to explore what helped seven people in contact with secondary mental health services achieve their vocational goals, such as: employment, education, training and volunteering. Design/methodology/approach – The authors used the practice of co-operative inquiry – staff and peer supporters co-designed an evaluation of vocational and peer support work with service users. Findings – Service users experienced invalidating living conditions that caused serious distress. These life struggles included: isolation, trauma events and stigma. The impact involved distressing emotions such as: despair, fear, pain and confusion. In contrast, when service users experienced supportive validating conditions (trusting relationships, engaging in valued activity and peer support) they reported being able to learn, change and grow – finding their own way forward, to improve well-being and quality of life. Research limitations/implications – Qualitative analysis from in-depth interviews revealed a range of consistent themes that enabled the authors to visually represent these and “begin” developing a model of change – grounded in lived experience. Further research is required to develop this model. Originality/value – The development of a model of change grounded in an invalidation/validation framework offers a different approach – in terms of how people are perceived and treated. This has relevance for Government policy development, clinical commissioning groups and practitioners.


Author(s):  
Simone Baglioni ◽  
Stephen Sinclair

This chapter considers the response of social innovations to the growing concern with food poverty. Food provision has not traditionally been a core public welfare function in the most developed welfare regimes, and social innovations often provide more developed and effective responses than government in this area. Voluntary and civil society organisations have pioneered a variety of innovations to feed vulnerable groups while also reducing surplus food waste. These initiatives involve partnerships with private sector food companies which donate surplus supplies which social innovations distribute. The chapter provides examples of how inventive social innovations have had to be to meet the considerable logistical challenges they face in acquiring, storing and distributing surplus food. The chapter concludes by highlighting examples of the impact which social have had in helping to shape public policy innovations in the area of food poverty.


Author(s):  
Simone Baglioni ◽  
Stephen Sinclair

This chapter discusses how social innovation relates to debates in social and public policy analysis. The chapter outlines the respective normative, analytical and empirical questions raised by social innovation in relation to welfare provision and reform. It discusses how social innovations originate and develop, and the extent to which they can be actively cultivated by policy makers. The chapter examines the varying receptiveness to social innovation of different types of welfare regime. It considers how far social innovations provide secure entitlements upon which service users can rely. The chapter then discusses the potential transferability of social innovations beyond the particular socio-economic contexts and policy environments which germinate and nurture them. The respective impact of social innovation and social movements are considered. The chapter concludes by highlighting the potential conservative or regressive implications of social innovation, and how it could be used to justify withdrawing public welfare services.


Author(s):  
Lyudmyla Mishchenko ◽  
◽  
Dmytro Mishchenko ◽  

The actualization of the results of financial decentralization in Ukraine as part of the reform of decentralization of power and the development of proposals for its improvement is explained by the fact that a clear division of functions, powers and financial resources between national and regional levels is the basis for the well-being of our citizens. opportunities for its sustainable socio- economic development on a democratic basis. It is noted that financial decentralization is a process of giving authority to mobilize revenues and expenditures of local governments in order to increase the effectiveness of the implementation of these powers and better management of community budgets. It is established that unlike traditional entrepreneurship, which focuses on profit generation, the purpose of social entrepreneurship is to create and accumulate social capital. Abroad, social enterprises operate successfully in the fields of education, the environment, human rights, poverty reduction and health care, and their development and dissemination is one way to improve the living conditions of citizens. A similar mission is entrusted to local governments, which allows us to consider the revival of social entrepreneurship as an important element in improving self-government policy. It is determined that in modern conditions social entrepreneurship is one of the tools to ensure the ability of the local community to provide its members with an appropriate level of education, culture, health, housing and communal services, social protection, etc., as well as plan and implement programs efficient use of available natural and human resources, investment and infrastructural support of territorial communities. Due to financial decentralization, local governments have received additional resources that can be used to create economic incentives to promote social entrepreneurship in small and medium-sized businesses at the community level.


BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e043010
Author(s):  
Jane Lyons ◽  
Ashley Akbari ◽  
Fatemeh Torabi ◽  
Gareth I Davies ◽  
Laura North ◽  
...  

IntroductionThe emergence of the novel respiratory SARS-CoV-2 and subsequent COVID-19 pandemic have required rapid assimilation of population-level data to understand and control the spread of infection in the general and vulnerable populations. Rapid analyses are needed to inform policy development and target interventions to at-risk groups to prevent serious health outcomes. We aim to provide an accessible research platform to determine demographic, socioeconomic and clinical risk factors for infection, morbidity and mortality of COVID-19, to measure the impact of COVID-19 on healthcare utilisation and long-term health, and to enable the evaluation of natural experiments of policy interventions.Methods and analysisTwo privacy-protecting population-level cohorts have been created and derived from multisourced demographic and healthcare data. The C20 cohort consists of 3.2 million people in Wales on the 1 January 2020 with follow-up until 31 May 2020. The complete cohort dataset will be updated monthly with some individual datasets available daily. The C16 cohort consists of 3 million people in Wales on the 1 January 2016 with follow-up to 31 December 2019. C16 is designed as a counterfactual cohort to provide contextual comparative population data on disease, health service utilisation and mortality. Study outcomes will: (a) characterise the epidemiology of COVID-19, (b) assess socioeconomic and demographic influences on infection and outcomes, (c) measure the impact of COVID-19 on short -term and longer-term population outcomes and (d) undertake studies on the transmission and spatial spread of infection.Ethics and disseminationThe Secure Anonymised Information Linkage-independent Information Governance Review Panel has approved this study. The study findings will be presented to policy groups, public meetings, national and international conferences, and published in peer-reviewed journals.


Work ◽  
2021 ◽  
pp. 1-9
Author(s):  
Annika Lexén ◽  
Maria Emmelin ◽  
Lars Hansson ◽  
Bengt Svensson ◽  
Susann Porter ◽  
...  

BACKGROUND: Lack of mental health literacy among rehabilitation professionals and employers in the return-to-work of persons with mental health problems resulted in the development of a three-day group training program, the Support to Employers from rehabilitation Actors about Mental health (SEAM) intervention. OBJECTIVE: To evaluate the impact of SEAM on rehabilitation professionals’ knowledge and beliefs, attitudes, and supporting behaviors towards people with mental health problems and employers as part of the return-to-work process. METHODS: In this longitudinal study, 94 rehabilitation professionals were included. Data were collected prior to (T1), immediately after (T2) and 6 months after SEAM training (T3) using knowledge and attitude scales and a questionnaire on supporting behaviors. SEAM includes training in Mental Health First Aid, presentations and discussions on current research on work and mental health, and strategies and communication guidelines to use when meeting service users and employers as part of the return-to-work of persons with mental health problems. SEAM also includes a homepage with targeted employer information. Data were analyzed using non-parametric statistics. RESULTS: SEAM significantly increased rehabilitation professionals’ knowledge of mental health (T1-T2: z = –2.037, p = 0.042; T2-T3: z = –5.093, p = 0.001), and improved their attitudes towards persons with mental health problems (T1-T2: z = 4.984, p = 0.001). Professionals (50–60%) also estimated that they had increased their use of supporting strategies towards service users and employers. CONCLUSIONS: The study suggests that SEAM can increase mental health literacy among rehabilitation professionals and lead to a greater focus on service users’ resources and work ability, as well as on employers’ support needs.


2021 ◽  
Author(s):  
Alexander Subbotin ◽  
Samin Aref

AbstractWe study international mobility in academia, with a focus on the migration of published researchers to and from Russia. Using an exhaustive set of over 2.4 million Scopus publications, we analyze all researchers who have published with a Russian affiliation address in Scopus-indexed sources in 1996–2020. The migration of researchers is observed through the changes in their affiliation addresses, which altered their mode countries of affiliation across different years. While only 5.2% of these researchers were internationally mobile, they accounted for a substantial proportion of citations. Our estimates of net migration rates indicate that while Russia was a donor country in the late 1990s and early 2000s, it has experienced a relatively balanced circulation of researchers in more recent years. These findings suggest that the current trends in scholarly migration in Russia could be better framed as brain circulation, rather than as brain drain. Overall, researchers emigrating from Russia outnumbered and outperformed researchers immigrating to Russia. Our analysis on the subject categories of publication venues shows that in the past 25 years, Russia has, overall, suffered a net loss in most disciplines, and most notably in the five disciplines of neuroscience, decision sciences, mathematics, biochemistry, and pharmacology. We demonstrate the robustness of our main findings under random exclusion of data and changes in numeric parameters. Our substantive results shed light on new aspects of international mobility in academia, and on the impact of this mobility on a national science system, which have direct implications for policy development. Methodologically, our novel approach to handling big data can be adopted as a framework of analysis for studying scholarly migration in other countries.


2021 ◽  
Vol 13 (15) ◽  
pp. 2869
Author(s):  
MohammadAli Hemati ◽  
Mahdi Hasanlou ◽  
Masoud Mahdianpari ◽  
Fariba Mohammadimanesh

With uninterrupted space-based data collection since 1972, Landsat plays a key role in systematic monitoring of the Earth’s surface, enabled by an extensive and free, radiometrically consistent, global archive of imagery. Governments and international organizations rely on Landsat time series for monitoring and deriving a systematic understanding of the dynamics of the Earth’s surface at a spatial scale relevant to management, scientific inquiry, and policy development. In this study, we identify trends in Landsat-informed change detection studies by surveying 50 years of published applications, processing, and change detection methods. Specifically, a representative database was created resulting in 490 relevant journal articles derived from the Web of Science and Scopus. From these articles, we provide a review of recent developments, opportunities, and trends in Landsat change detection studies. The impact of the Landsat free and open data policy in 2008 is evident in the literature as a turning point in the number and nature of change detection studies. Based upon the search terms used and articles included, average number of Landsat images used in studies increased from 10 images before 2008 to 100,000 images in 2020. The 2008 opening of the Landsat archive resulted in a marked increase in the number of images used per study, typically providing the basis for the other trends in evidence. These key trends include an increase in automated processing, use of analysis-ready data (especially those with atmospheric correction), and use of cloud computing platforms, all over increasing large areas. The nature of change methods has evolved from representative bi-temporal pairs to time series of images capturing dynamics and trends, capable of revealing both gradual and abrupt changes. The result also revealed a greater use of nonparametric classifiers for Landsat change detection analysis. Landsat-9, to be launched in September 2021, in combination with the continued operation of Landsat-8 and integration with Sentinel-2, enhances opportunities for improved monitoring of change over increasingly larger areas with greater intra- and interannual frequency.


Inventions ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 46
Author(s):  
Catalin Anton ◽  
Angela-Eliza Micu ◽  
Eugen Rusu

Traditionally and socially, the tourism in Constanta is considered to be important to the local economy. Sun and beach locations are both a draw for locals and tourists to the city, on the Black Sea. However, vacation-oriented activities in the city only have a seasonal cycle. In this paper, we proposed to analyze the mass tourist activity in Constanta, taking into account economic, social, and environmental conditions. Additionally, we attempted to build a model based on the data available. The model was developed using a PESTEL analysis to determine the supportability factor of the indicators identified. We also set out to create a projection of the activities proposed for analysis by 2050. To create a model for coastal areas, the data used in this research must be accurate and consistent. Furthermore, correctly identifying indicators and their relationships is a critical step in conducting a thorough study. Last but not least, finding the calculation coefficient for the activity in question is critical, as collecting data from various activities might be challenging when trying to find a feasible model.


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