Energy Control, a drug analysis service to reduce risks

Publications Bank of innovations

Energy Control, a drug analysis service to reduce risks

Associació Benestar i Desenvolupament (ABD)

Energy Control

Drug analysis program that promotes responsible consumption

Energy Control is a project of the Association for Welfare and Development (ABD) that, among other services, sets up information points in drug consumption spaces, such as music festivals and nightclubs, to promote responsible and informed use and to offer a substance analysis service that ensures the safety of people who consume them in case of adulterated products.

The analysis results are obtained in less than five minutes. This allows for immediate advice on the actual composition of the substances. Moreover, the technique used is non-destructive and does not use reagents, which better reaches the population more reluctant to leave the substance at an analysis point.

The data obtained is inserted into the Energy Control database. Thus, practically all substances circulating at any given time can be identified, including adulterated or especially dangerous ones, and consumers can be alerted through their channels. The devices used in the analysis process are portable and can be easily moved to any space, so interventions can be carried out in usual consumption places.

The main objectives of this service are to contact drug users, inform about the composition of the substances the person wants to consume, advise on how to consume with less risk, monitor the market, detect trends, and alert interested parties in case adulterated products especially dangerous to health are circulating.

Banc d’innovacions

Energy Control

Energy Control, a drug analysis service to reduce risks

Energy Control is a drug analysis program that promotes responsible consumption
BetiON

Predictive Telecare Service in Home Care

The Adinberri Foundation has launched a telecare service that enables anticipation and action through a personalized intervention plan based on the 4P model: prediction, prevention, personalization, and participation.
From Your Eyes

From your eyes, AI technological tools for visually impaired people

From Your Eyes promotes AI-based solutions to improve the daily lives of visually impaired people.
Reviu

Reviu, a platform that promotes transparency in housing access

Reviu is an online platform for sharing and searching for apartment reviews, with the primary goal of providing transparent and real information about the real estate market.
I·ROC

I·ROC, a tool that evaluates the recovery process of mental health service users

I·ROC is a tool that measures the recovery process of people using mental health services
SmartSocks

SmartSocks, socks that detect distress in people with dementia

SmartSocks that enable the detection of risk situations in people with dementia

Predictive Telecare Service in Home Care

Publications Bank of innovations

Predictive Telecare Service in Home Care

Adinberri Foundation, Eusko Jaurlaritza (Basque Government)

BetiON

Predictive telecare that allows for preventive and personalized action

The Adinberri Foundation has launched a telecare service that enables anticipation and action through a personalized intervention plan based on the 4P model: prediction, prevention, personalization, and participation. The initiative aims to address social issues such as loneliness, home safety, abuse, cognitive decline, and lack of socio-family support.

The predictive model operates through technological solutions such as speech processing, advanced analytics, artificial intelligence, Big Data, IoT (Internet of Things), and technologies that facilitate interoperability and standardization, such as open platforms.

The system will be integrated into the Public Telecare Service of Euskadi (betiON), a service that allows users to communicate with specialized professionals in emergency or risk situations. BetiON can be used by people over 75 years old who live alone, people over 65 years old in situations or at risk of dependency, people with various types of disabilities or mental illnesses, and people in situations of social isolation.

Banc d’innovacions

Energy Control

Energy Control, a drug analysis service to reduce risks

Energy Control is a drug analysis program that promotes responsible consumption
BetiON

Predictive Telecare Service in Home Care

The Adinberri Foundation has launched a telecare service that enables anticipation and action through a personalized intervention plan based on the 4P model: prediction, prevention, personalization, and participation.
From Your Eyes

From your eyes, AI technological tools for visually impaired people

From Your Eyes promotes AI-based solutions to improve the daily lives of visually impaired people.
Reviu

Reviu, a platform that promotes transparency in housing access

Reviu is an online platform for sharing and searching for apartment reviews, with the primary goal of providing transparent and real information about the real estate market.
I·ROC

I·ROC, a tool that evaluates the recovery process of mental health service users

I·ROC is a tool that measures the recovery process of people using mental health services
SmartSocks

SmartSocks, socks that detect distress in people with dementia

SmartSocks that enable the detection of risk situations in people with dementia

The iSocial Foundation welcomes Grupo SSI as a new member organisation

Publications News

The iSocial Foundation welcomes Grupo SSI as a new member organisation

,
Grupo Servicio Sociales

Grupo Servicios Sociales Integrados (SSI) is a Basque cooperative dedicated to improving the quality of life of people in vulnerable situations

From the iSocial Foundation, we are pleased to announce the incorporation of Grupo Servicios Sociales Integrados (SSI) as a new member organisation, approved at the last meeting of the iSocial board of trustees on July 9. With over 35 years of experience, SSI is a cooperative dedicated to improving the quality of life for people in situations of social vulnerability and dependency in the Basque Country, with special attention to the elderly.

Grupo SSI stands out for its ability to offer comprehensive and innovative responses to social needs, with a professional team specialized in social intervention and care for dependent people. Additionally, their commitment to research and innovation is reflected in initiatives like the Home Care Lab, an R&D&I unit working on developing new solutions for people’s care.

With their extensive experience in home care, social intervention, prevention of unwanted loneliness, and management of innovation projects, SSI brings great value to our foundation. Their integration strengthens our mission to promote innovation in the social sector and to offer effective solutions to improve people’s well-being.

Their inclusion also represents a new step towards the consolidation of the iSocial Foundation in the Basque Country, where another of our member organisations, the Agintzari cooperative, also works.

We look forward to starting to work together and adding their expertise to the great added value brought by our member organisations, indispensable for the iSocial Foundation project to make sense.

Actualitat

Grupo Servicio Sociales

The iSocial Foundation welcomes Grupo SSI as a new member organisation

Grupo Servicios Sociales Integrados (SSI) is a Basque cooperative dedicated to improving the quality of life of people in vulnerable situations.
Rehab-Lab meeting in Liège

iSocial and CIM-UPC Participate in the Annual Rehab-Lab Network Meeting in Belgium

A total of 55 entities from the Rehab-Lab network gathered in Liège to share their knowledge and experiences
Care4Skills

iSocial participates in the kick-off meeting of the Care4Skills project in Brussels

Last Thursday, May 23rd, we attended the kick-off meeting of the Care4Skills project in Brussels, organized by the EASPD (European Association of Service Providers for Persons with Disabilities), the entity leading the initiative.
Arranquen els tallers participatius de

The participatory workshops of the All By Myself project begin

This May, we inaugurated the first participatory workshops included in the research process of the All By Myself project, coordinated by the iSocial Foundation and supported by the Department of Social Rights of the Generalitat de Catalunya.
Flapp

23 social entities have been trained to use Flapp! and Nidus

Flapp! and Nidus, the two virtual safes created by the iSocial Foundation in collaboration with Pere Claver Group, are consolidating with the training offered so far to 23 entities.
I Jornada Serveis Socials

The iSocial Foundation participates in the First Social Services Conference

iSocial has presented Nidus, a digital tool to support people experiencing homelessness, promoted jointly with the Pere Claver Group

From your eyes, AI technological tools for visually impaired people

Publications Bank of innovations

From your eyes, AI technological tools for visually impaired people

From your eyes

From Your Eyes

AI-based solutions to improve the daily lives of visually impaired people

From Your Eyes (FYE) is a company specializing in computer vision that develops solutions based on Artificial Intelligence (AI) technology that mimic the visual function of the human brain to recognize, track, and categorize objects and people through camera image processing.

FYE’s AI model allows real-time processing of images and videos, includes a dataset of over 15 million data points, achieves an accuracy of 98.03%, and processes content in just 15 milliseconds. The tool is also capable of identifying 865 different colors, can operate without cloud connectivity, and incorporates strict data protection security measures.

FYE applies all this technological knowledge in two tools that improve the daily lives of visually impaired people. First, the FYE mobile application allows users to create their own AI assistants to receive descriptions of photos, videos, and visual documents, and can be integrated into various devices. Second, FYE Vehicle Vision enhances the driving experience on the road with integrated cameras to analyze the environment and provide personalized services. It also offers tools such as augmented reality navigation, virtual travel companions, gesture control, and intelligent assistance, among others.

Banc d’innovacions

Energy Control

Energy Control, a drug analysis service to reduce risks

Energy Control is a drug analysis program that promotes responsible consumption
BetiON

Predictive Telecare Service in Home Care

The Adinberri Foundation has launched a telecare service that enables anticipation and action through a personalized intervention plan based on the 4P model: prediction, prevention, personalization, and participation.
From Your Eyes

From your eyes, AI technological tools for visually impaired people

From Your Eyes promotes AI-based solutions to improve the daily lives of visually impaired people.
Reviu

Reviu, a platform that promotes transparency in housing access

Reviu is an online platform for sharing and searching for apartment reviews, with the primary goal of providing transparent and real information about the real estate market.
I·ROC

I·ROC, a tool that evaluates the recovery process of mental health service users

I·ROC is a tool that measures the recovery process of people using mental health services
SmartSocks

SmartSocks, socks that detect distress in people with dementia

SmartSocks that enable the detection of risk situations in people with dementia

Predictive models through big data applied to social services

Publications Articles

Predictive models through big data applied to social services

, ,
Big Data

In recent years, multiple sectors have embraced big data technology and predictive models to manage large amounts of data, draw conclusions, and make predictions. How can this technology be applied to social services?

Every day, the world generates approximately 328.77 million terabytes of data, according to a Market Splash analysis from 2024. In recent years, the growth rate has increased exponentially. From 2010 to 2023, for example, the amount of data generated has increased in volume by 60 times, although only 10% of these data are unique, as the rest are duplicated information on the network.

In this context, most sectors are incorporating intelligent data analysis services to manage data, draw conclusions, and make predictions. Social services are no exception. In recent years, the sector has embraced big data technology to collect information in the socio-health field and thus be able to act preventively, personally, and efficiently. Next, we will explore what big data and predictive models are, what opportunities they present for social services, and what innovative initiatives are already being carried out.

What is big data?

Broadly speaking, we could define big data as a set of data that, due to its large volume, cannot be processed or managed with traditional integration databases. More specifically, we find that big data is based on the paradigm of the 3 V’s:

  • Volume. A large amount of data is worked with, requiring new storage techniques and new approaches.
  • Variety. The data comes from various sources and formats, such as messages, videos, images, or emoticons. Therefore, tools that can decipher all types of content are needed.
  • Velocity. The large volume of data requires that it be processed and analyzed quickly to prevent the results from becoming outdated once deciphered.

According to the report Big Data and its impact on the public sector, coordinated by Chema Maroto, four more characteristics can currently be added:

  • Variability. This trait refers to data that constantly changes its meaning, something particularly applicable in the case of language, as words do not have static meanings and require context to be understood. This point is one of the main challenges of big data and demands the design of processing programs capable of understanding each context to decode the precise meaning of each word.
  • Veracity. The results obtained when processing large amounts of data are only useful if the data being worked with is accurate and truthful. Therefore, it is crucial to keep in mind that sometimes data can be presented in a disordered manner, as well as to know how to distinguish errors and excess noise, that is, all those false or irrelevant information. To carry out this task, it is necessary to accompany the algorithms with professional human supervision.
  • Visualization. Another important challenge of big data is the ability to visually represent large amounts of data obtained. Traditional data representation methods are no longer sufficient; instead, it is necessary to find simple and accessible ways to visualize information.
  • Value. Big data provides added value in the different areas where it is applied. For example, in the case of social services, it can mean economic and time savings in user care.

What are predictive models?

One of the applications of intelligent data analysis is the creation of predictive models. In the case of social services, these models can help professionals make better decisions.

A predictive model is a type of mathematical model that allows making predictions in the future based on past data. Through big data technology and machine learning, it is possible to infer how a variable will behave in the future based on other known variables.

To implement a predictive model, data must first be prepared to minimize noise and analyze it. Next, the predictive model to be used and the problem to be solved through it are selected. Then, the model is trained and validated to reach its implementation, which will be accompanied by monitoring to identify possible errors and improvements. Ensuring the quality of the data entered into the system is essential, as the reliability of the results obtained from the model will depend on it.

Big data predictive models and social services

Big data technology, in combination with other tools such as artificial intelligence and machine learning, allows analyzing social services system data to look for patterns (repetitions, anomalies, or correlations) that are usually too complex to detect manually. Along with other data sources, this can allow us, for example, to anticipate the emergence and evolution of population needs. In this sense, predictive models can help advance social services in four important areas: prevention, personalization, planning, and efficiency.

According to Big Data: What are the Implications for Public Sector Policy in Society 5.0 Era? (Fajar Rahmanto et al.), the combination of big data and artificial intelligence allows obtaining information that can become a very good starting point in decision-making and improving automation systems.

However, it is essential to define good security policies when dealing with personal and confidential information in the socio-health field, as the data being worked with is very sensitive and intimate.

Initiatives

Currently, the social sector is carrying out numerous initiatives that use big data to make predictions and act preventively. Below, we summarize some initiatives that work in this direction:

  • PACT Project. In Castilla y León, the PACT project uses an algorithm developed from big data and machine learning techniques capable of predicting the risk of social exclusion of social services users. Through ten main risk factors, the predictive model can determine which of the people requesting the minimum guaranteed income will continue to need this benefit for 60 months or more. Through a mobile application, professionals have access to these forecasts and can make better decisions.
  • Predictive and descriptive tool. In Catalonia, the Association for Welfare and Development (ABD), in collaboration with Momentum Analytics, has developed a predictive tool based on big data and artificial intelligence that allows describing the socio-demographic and economic characteristics of the families in the territory with the aim of helping municipal social services better understand current real needs, predict future ones, dimension the service portfolio, and plan resources.
  • One View. In the United Kingdom, the One View system analyzes the set of data related to services for adults, children, and homeless people to identify existing risk situations that could lead to homelessness in the near future. The analytical model includes income, benefits, and school data, obtaining a general and complete view of citizens and households. The model has a preventive approach and can detect future risk situations 6 to 9 months before they occur.
  • Crisis Text Line. This American initiative uses machine learning and artificial intelligence to predict high-risk suicide or self-harm situations. The system is based on the analysis of 30 million messages that users have sent through a prevention hotline and is capable of identifying which cases are more urgent. Thus, 94% of high-risk people receive an intervention in less than 5 minutes.
  • L’Allegheny Family Screening Tool (AFST). Also in the United States, this big data system provides social services professionals with an objective assessment of child neglect risk situations through more than a hundred parameters. When a case is received, the algorithm calculates the risk index to guide professional action.

In conclusion, big data and predictive models in social services represent an interesting tool to improve efficiency, personalization, and prevention in population care. The ability to process and analyze large amounts of data quickly and accurately, as well as generate predictive models, allows professionals to anticipate needs, identify risk situations, and make decisions based on solid evidence. Initiatives such as the PACT project in Castilla y León, the predictive tool of ABD in Catalonia, and the One View system in the United Kingdom demonstrate the positive impact of these technologies in the socio-health field. However, it is essential to implement robust security policies to protect the privacy of confidential data and ensure its veracity. Ultimately, big data and predictive models are key to a future where social services are more proactive and effective in their mission of supporting communities and individuals.

References

Albendea, G. L. (2021, 15 juliol). ‘Big data’: una herramienta de predicción útil para el sector social. Revista Haz. https://hazrevista.org/innovacion-social/2017/11/big-data-una-herramienta-de-prediccion-util-para-el-sector-social/ [08/07/2024]

Big data y su impacto en el sector público. (s. f.). Harvard Deusto Business Review. https://xodel.diba.cat/sites/xodel.diba.cat/files/big_data_y_su_impacto_en_el_sector_publico.pdf [08/07/2024]

Cicle de reflexió “Big Data i serveis socials”. (2019). Fundació iSocial. https://isocial.cat/cicle-de-reflexio-big-data-i-serveis-socials/ [08/07/2024]

Díaz, A. (2022, 28 diciembre). Modelos predictivos, que es, ejemplos y herramientas. Todo Bigdata. https://todobigdata.com/modelos-predictivos/modelos-predictivos-que-es-ejemplos-y-herramientas/ [17/04/24]

El Big Data al tercer sector. (2023, 8 març). Xarxanet – Entitats I Voluntariat de Catalunya Per un Món Millor. https://xarxanet.org/juridic/recursos/el-big-data-al-tercer-sector [08/07/2024]

ESADE Business & Law School. (2018, 2 octubre). La transformación digital en el Tercer Sector, retos y oportunidades. Cinco Días. https://cincodias.elpais.com/cincodias/2018/10/01/idearium/1538406345_325528.html [08/07/2024]

ESIC Business & Marketing School. (s. f.). Análisis predictivo: con Big Data el futuro no se predice, se cambia. ESIC. https://www.esic.edu/rethink/tecnologia/analisis-predictivo-big-data-futuro-no-se-predice-se-cambia [17/07/24]

Fundació iSocial. (2024, 19 juny). One View, sistema predictiu i preventiu de situacions de sensellarisme – Fundació iSocial. Innovació en. Fundació iSocial. https://isocial.cat/one-view-sistema-predictiu-i-preventiu-de-situacions-de-sensellarisme/ [08/07/2024]

Fundació iSocial. (2024, 19 juny). PACT, eina big data per preveure el risc d’exclusió social crònica – Fundació iSocial. Innovació en. Fundació iSocial. https://isocial.cat/pact-eina-big-data-per-preveure-el-risc-dexclusio-social-cronica/ [08/07/2024]

Fundació iSocial. (2024, juny 19). Eina predictiva de situacions de vulnerabilitat, per millorar la planificació dels Serveis Socials -. Fundació iSocial. https://isocial.cat/eina-predictiva-de-situacions-de-vulnerabilitat-per-millorar-la-planificacio-dels-serveis-socials/ [08/07/2024]

Fundació iSocial. (2024, juny 19). VioGén, sistema de seguiment integral de casos de violència masclista – Fundació iSocial. Innovació en. Fundació iSocial. https://isocial.cat/viogen-sistema-de-seguiment-integral-de-casos-de-violencia-masclista/ [08/07/2024]

Rahmanto, F., Pribadi, U., & Priyanto, A. (2021). Big Data: What are the Implications for Public Sector Policy in Society 5.0 Era. IOP Conference Series. Earth And Environmental Science, 717(1), 012009. https://doi.org/10.1088/1755-1315/717/1/012009 [08/07/2024]

Rodríguez, S. (2019, 31 julio). Claves para implantar un modelo predictivo. Big Data Magazine. https://bigdatamagazine.es/claves-para-implantar-un-modelo-predictivo/ [17/07/24]

Sesmero, J. M. M. (2015). Big data; application and use for the health system. DOAJ (Directory Of Open Access Journals), 39(2), 69-70. https://doi.org/10.7399/fh.2015.39.2.8835 [08/07/2024]

Song, T., & Ryu, S. (2015). Big Data Analysis Framework for Healthcare and Social Sectors in Korea. Healthcare Informatics Research, 21(1), 3. https://doi.org/10.4258/hir.2015.21.1.3 [08/07/2024]

Articles

Big Data

Predictive models through big data applied to social services

In recent years, multiple sectors have embraced big data technology and predictive models to manage large amounts of data, draw conclusions, and make predictions. How can this technology be applied to social services?
Infància i adolescència en risc

Social innovation in the protection of children and adolescents at risk

According to UNICEF, it is estimated that more than 1 billion children and adolescents are victims of violence worldwide, with profound, lasting, and sometimes deadly consequences. How can social innovation approach child protection?
Perspectives innovadores accés a l'habitatge

Innovative perspectives to promote access to housing

According to the UN, the lack of decent housing is a problem affecting over 20% of the global population. In Catalonia, nearly 60,000 people experience some form of residential exclusion. What innovative initiatives are being implemented worldwide to promote access to housing?
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Social Innovation to Prevent Gender Violence

During the year 2023, fifty-eight women and two minors died due to gender violence in Spain. How can we use social innovation to prevent and address this issue?
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Robots for the treatment of children with ASD

In recent years, the use of robots in the treatment of children with Autism Spectrum Disorder (ASD) has been brought to the table. What benefits does this type of therapy offer?
En aquest article, abordem propostes innovadores per combatre la soledat no desitjada

Innovative proposals to combat unwanted loneliness in the elderly

Unwanted loneliness is a problem that has a particularly relevant impact on the elderly population. How should it be addressed? What innovative tools can be promoted from social services to reverse this feeling?

Reviu, a platform that promotes transparency in housing access

Publications Bank of innovations

Reviu, a platform that promotes transparency in housing access

IDRA

Reviu

Online platform for sharing and searching for apartment reviews

Reviu is a portal where tenants can rate the apartments they live in or have lived in, as well as their relationship with the real estate agency and the property owner. The main objective is to provide transparent and real information about the real estate market to prevent people looking for housing from doing so blindly and without references. This way, the information asymmetry that currently characterizes the housing market can be overcome.

The platform allows searching for reviews of specific apartments and buildings, writing anonymous opinions, and searching for all published information about each real estate agency. When publishing a review, tenants must provide data about the apartment, such as the condition of the housing, the initial and final price, the relationship with the property owner and the neighbors, the characteristics of the space, the temperature, etc.

To combat fraud, the website relies on municipal cadastral data and information from Google. Although it is an anonymous portal, the platform asks for some personal data from the authors of the comments in order to contact them if they want to verify the authenticity of the reviews. To avoid creating a platform where only “hate comments” are posted, Reviu approaches reviews from a constructive perspective. The portal also offers practical resources, advice, and explanatory videos about information related to renting housing.

Banc d’innovacions

Energy Control

Energy Control, a drug analysis service to reduce risks

Energy Control is a drug analysis program that promotes responsible consumption
BetiON

Predictive Telecare Service in Home Care

The Adinberri Foundation has launched a telecare service that enables anticipation and action through a personalized intervention plan based on the 4P model: prediction, prevention, personalization, and participation.
From Your Eyes

From your eyes, AI technological tools for visually impaired people

From Your Eyes promotes AI-based solutions to improve the daily lives of visually impaired people.
Reviu

Reviu, a platform that promotes transparency in housing access

Reviu is an online platform for sharing and searching for apartment reviews, with the primary goal of providing transparent and real information about the real estate market.
I·ROC

I·ROC, a tool that evaluates the recovery process of mental health service users

I·ROC is a tool that measures the recovery process of people using mental health services
SmartSocks

SmartSocks, socks that detect distress in people with dementia

SmartSocks that enable the detection of risk situations in people with dementia

I·ROC, a tool that evaluates the recovery process of mental health service users

Publications Bank of innovations

I·ROC, a tool that evaluates the recovery process of mental health service users

Penumbra

I·ROC

A tool that measures the recovery process of people using mental health services

I·ROC is based on a self-assessment questionnaire that follows the HOPE model, an approach that analyzes four areas of personal well-being (home, opportunity, people, and empowerment). Each area includes three indicators that the user must score from 1 to 6. This provides a holistic view of personal well-being.

The tool is available in both paper and digital formats and provides a solid framework for initiating conversations between professionals and users. It also offers a variety of innovative and easy-to-use tools that promote self-management with tips and techniques.

Mental health professionals can obtain individual reports of their patients at any time through the online platform (I·ROC Digital), available for multiple devices. Similarly, entities can consult global data on the user base to evaluate the impact of their projects and programs. Patients also have access to their results and the various support materials offered by the platform.

Banc d’innovacions

Energy Control

Energy Control, a drug analysis service to reduce risks

Energy Control is a drug analysis program that promotes responsible consumption
BetiON

Predictive Telecare Service in Home Care

The Adinberri Foundation has launched a telecare service that enables anticipation and action through a personalized intervention plan based on the 4P model: prediction, prevention, personalization, and participation.
From Your Eyes

From your eyes, AI technological tools for visually impaired people

From Your Eyes promotes AI-based solutions to improve the daily lives of visually impaired people.
Reviu

Reviu, a platform that promotes transparency in housing access

Reviu is an online platform for sharing and searching for apartment reviews, with the primary goal of providing transparent and real information about the real estate market.
I·ROC

I·ROC, a tool that evaluates the recovery process of mental health service users

I·ROC is a tool that measures the recovery process of people using mental health services
SmartSocks

SmartSocks, socks that detect distress in people with dementia

SmartSocks that enable the detection of risk situations in people with dementia

SmartSocks, socks that detect distress in people with dementia

Publications Bank of innovations

SmartSocks, socks that detect distress in people with dementia

Milbotix

SmartSocks

Smart socks that enable the detection of risk situations in people with dementia

According to WHO data from 2023, more than 55 million people worldwide have dementia, with over 60% living in low- and middle-income countries. Annually, there are nearly ten million new cases. Additionally, dementia is the seventh leading cause of death globally and one of the main causes of dependency and disability among the elderly.

SmartSocks are intelligent socks that provide information about the condition of patients with dementia, but also with other conditions such as autism spectrum disorder and various intellectual disabilities. The sensor is embedded in discreet and comfortable socks that can be machine-washed, and it collects physiological data such as heart rate, movement, or anxiety. This way, caregivers receive alerts that allow them to intervene more quickly and prevent undesirable situations.

By scanning the QR code on the SmartSocks, the socks connect via Wi-Fi to the Milbotix app, which uses artificial intelligence to detect patterns and anomalies and alert caregivers before a risk situation occurs. These intelligent socks allow for the remote identification of cognitive changes in patients, a very useful feature for professionals in care homes and also allows extending the stay of people with dementia in their own homes before admitting them to a facility.

Banc d’innovacions

Energy Control

Energy Control, a drug analysis service to reduce risks

Energy Control is a drug analysis program that promotes responsible consumption
BetiON

Predictive Telecare Service in Home Care

The Adinberri Foundation has launched a telecare service that enables anticipation and action through a personalized intervention plan based on the 4P model: prediction, prevention, personalization, and participation.
From Your Eyes

From your eyes, AI technological tools for visually impaired people

From Your Eyes promotes AI-based solutions to improve the daily lives of visually impaired people.
Reviu

Reviu, a platform that promotes transparency in housing access

Reviu is an online platform for sharing and searching for apartment reviews, with the primary goal of providing transparent and real information about the real estate market.
I·ROC

I·ROC, a tool that evaluates the recovery process of mental health service users

I·ROC is a tool that measures the recovery process of people using mental health services
SmartSocks

SmartSocks, socks that detect distress in people with dementia

SmartSocks that enable the detection of risk situations in people with dementia

Manawanui, Self-Directed Support for people with disabilities

Publications Bank of innovations

Manawanui, Self-Directed Support for people with disabilities

Manawanui

Manawanui

Project aimed at enhancing the autonomy and freedom of choice for people with disabilities

Manawanui is an initiative that promotes Self-Directed Support, a system of assistance that encourages people with disabilities to choose, through a personal budget, how, when, and with whom they manage the care services they receive.

Through these personalized budgets, “agents” (mostly volunteers) guide and accompany users in decision-making and self-management of these services. The main goal is to place the person at the center and promote their autonomy.

Users develop a personal life plan and are responsible for managing home care services, hiring necessary personnel, and setting their own goals. In this way, people with disabilities gain independence and freedom of choice in their daily lives.

Banc d’innovacions

Energy Control

Energy Control, a drug analysis service to reduce risks

Energy Control is a drug analysis program that promotes responsible consumption
BetiON

Predictive Telecare Service in Home Care

The Adinberri Foundation has launched a telecare service that enables anticipation and action through a personalized intervention plan based on the 4P model: prediction, prevention, personalization, and participation.
From Your Eyes

From your eyes, AI technological tools for visually impaired people

From Your Eyes promotes AI-based solutions to improve the daily lives of visually impaired people.
Reviu

Reviu, a platform that promotes transparency in housing access

Reviu is an online platform for sharing and searching for apartment reviews, with the primary goal of providing transparent and real information about the real estate market.
I·ROC

I·ROC, a tool that evaluates the recovery process of mental health service users

I·ROC is a tool that measures the recovery process of people using mental health services
SmartSocks

SmartSocks, socks that detect distress in people with dementia

SmartSocks that enable the detection of risk situations in people with dementia

Social innovation in the protection of children and adolescents at risk

Publications Articles

Social innovation in the protection of children and adolescents at risk

, , , ,
Infància i adolescència en risc

According to UNICEF, it is estimated that more than 1 billion children and adolescents are victims of violence worldwide, with profound, lasting, and sometimes deadly consequences. How can social innovation be applied to child protection?

Protection of Children and Adolescents

Child protection involves preventing exploitation, abuse, harmful practices, and violence against children and adolescents (C&A), as well as taking action when any of these situations occur. This protection is recognized in the Convention on the Rights of the Child (1989) and the Sustainable Development Goals (SDGs). According to UNICEF, it is estimated that more than 1 billion C&A are victims of violence worldwide, with profound, lasting, and sometimes deadly consequences. The latest data from PAHO reveal that one in two children between the ages of two and seventeen experiences some form of violence each year. Additionally, according to Save the Children, one in two victims of sexual violence is a child. On average, these victims must recount the events four times after reporting them, and the average duration of the legal process is three years. Furthermore, seven out of ten open cases do not reach oral trial.

According to the study Vulnerability and Exclusion in Childhood, social exclusion in childhood is a multidimensional process affecting different areas, such as residential, socio-health, and relational. Additionally, this study identifies vulnerable groups at greater risk of exclusion, such as children with disabilities, those from minority ethnic groups, or those in situations of family neglect.

In this article, we will explore some innovative proposals and perspectives in the field of child protection that aim to improve the response of social services and social entities to situations of child vulnerability.

Safe spaces for child victims of sexual violence: The Barnahus Model

The Barnahus (children’s house in Icelandic) is an innovative, multidisciplinary, and inter-institutional model that coordinates criminal investigations and social services evaluations in cases of child and youth sexual abuse and violence. The integrated units, formed by specialized teams, aim to avoid the revictimization of children and adolescents and provide all necessary care in one center. The purpose is to place the victim and their well-being at the center of processes, reduce waiting times for help, and improve the efficiency and coordination of the response.

The Barnahus model prevents victims from having to go through courts, police stations, hospitals, and child services. The spaces have a welcoming and pleasant appearance that provides security, comfort, and trust to children and families. The center is open Monday to Friday, from 9 am to 7 pm, and is staffed by a multidisciplinary team, with professionals from different areas of the Administration, such as health, social services, or the judicial sector.

Originally, the National Children’s Advocacy Centre in the United States developed the Barnahus model, and Reykjavik was the first European city to implement it in 1998. In Iceland, according to Save The Children, after extending the Barnahus model throughout the country, convictions for child abuse and violence have doubled, and accusations have tripled. In Catalonia, the Generalitat started a pilot program in Tarragona in 2020, which was pioneering for the rest of Spain. After the center’s positive reception, other units have been opened in various Catalan localities, such as La Seu d’Urgell, Terrassa (both managed by Intress), Granollers (Idea Foundation), and Barcelona (FASI), among others.

Deinstitutionalization

In Spain, in 2021, there were 48,357 children and adolescents in institutionalization, according to a study by the EDI project (Deinstitutionalization Study) in collaboration with the Ministry of Social Rights, Consumer Affairs, and Agenda 2030. On the other hand, the report Deinstitutionalization of the Child and Adolescent Protection System (Síndic de Greuges, 2023) states that in Catalonia, there are 32,481 children and adolescents –2.4% of the total– who live with their families but do not receive adequate care to ensure their optimal development and well-being.

Child institutionalization is a protective administrative measure in response to a situation that poses a risk to a child within their family. As a result, the child’s custody falls to the Public Administration, and various social entities take care of them through shelters, transition apartments to adult life, or residential centers, among others. According to the Síndic de Greuges report, the child and adolescent protection system not only functions to prevent maltreatment or ensure the safety of minors once these have occurred but also works on two fundamental lines:

  • Prevention: The most efficient way to protect children is through support measures for families, both materially and psychosocially, to support them in their parental functions.
  • Prioritize the return of the child to their family unit: Through family support, the main objective should be to overcome the situation of neglect that led to the separation.

In this regard, the report proposes evolving from a perspective based on “separate to protect” to a system based on “prevent to protect” and “protect for return“. However, in this institutionalization process, there are rights that may conflict. The EDI considers that, when articulating the protection system, the best interests of the C&A are often not prioritized. Consequently, institutionalization leads to social, psychological, and physical marginalization and restrictions, among others. The deinstitutionalization model is a process that aims to transform services for vulnerable people, accompanying them in their daily lives and providing follow-up without centralizing care in institutions. In the case of child protection, this perspective works to move towards a system that centers children’s rights and involves families as an essential element to ensure children’s well-being, with a preventive approach.

According to the EDI, a profound cultural change is necessary to successfully implement public policies based on children’s rights. In this sense, it is essential that professionals receive specific training to promote equity, justice, and the well-being of minors, as well as create personalized care models that prioritize children’s dignity, autonomy, and development. Another key measure, as pointed out by the study, is to include ethical audits as a complement to inspection and control instruments to specify the rights that come into conflict, the desirable standards, and the management and improvement systems focused on the best interests of C&A.

Worldwide, work is also being done along these lines. In Italy, the P.I.P.P.I. program (Intervention Program for the Prevention of Institutionalization) seeks to reduce child institutionalization in vulnerable families through a set of actions that address children’s needs. For example, through intensive home care, group activities with other families, and joint work with teachers and social workers.

Similarly, the Youth and Family Office project in Austria accompanies vulnerable families during the upbringing process through flexible advice adapted to each specific case. Through an approach where children and the family are at the center, the aim is to avoid institutionalization.

On the other hand, the Scottish entity Aberlour, through the Intensive Perinatal Support Service program, works to maximize the chances that babies can safely stay with their families. The project supports mothers during pregnancy and the baby’s first year, offering assistance in preparing for the baby’s arrival home, substance abuse recovery, and family bonding, among other services.

Technological Tools

In the field of social innovation, technology enables the creation of efficient tools to address various social problems. In the case of the protection of children and adolescents at risk, numerous initiatives combine technological knowledge with a social perspective. Below, we present four innovative projects in this field:

  • Rafiki (SOS Children’s Villages): Rafiki is a tool that uses artificial intelligence to support professionals caring for children and young people. It is an application that includes a digital assistant configured to answer questions in real time, with links to expand knowledge. In this way, social workers can make better decisions adapted to their context. The areas it covers are diverse, such as parenting, mental health, protection, or psychosocial support. The application has been implemented in countries such as Malawi, Nigeria, and South Africa.
  • Primero (UNICEF): Primero is an open-source technology platform that collects and manages data from children in emergency migration contexts to help social workers manage data related to child protection. The tools facilitate case management, incident tracking, migrant child tracking, and family reunification.
  • Kanjo (Andoain City Council): Kanjo is an application that systematically records the emotional state of adolescents through a tablet. Subsequently, an algorithm analyzes emotional patterns to detect risk cases early. The main function and objective of the program are to support children and adolescents in learning emotional management, as well as to prevent cases of risk and vulnerability.
  • AFST (Allegheny County): The Allegheny Family Screening Tool (AFST) is a Big Data system that provides social services professionals with an objective assessment of risk situations in child neglect. The tool, based on algorithms capable of interrelating a large amount of data, allows cases to be detected preventively and activates social intervention protocols.
  • FLAPP! (Fundació iSocial): Flapp! is a digital platform aimed at adolescents and young people aged 16 to 23 in situations of social fragility and in need of support. The application includes support tools that enhance their autonomy in the emancipation process. Among other resources, it includes a digital safe, an alarm button, and a chat that allows young people to connect with their reference professionals without either using their personal phone numbers. These tools enable social services and entities to establish a communication channel with young people and accompany them with greater guarantees.

Child protection encompasses different areas of intervention in social services, and it is important for professionals to be familiar with all of them to provide a coordinated response to the needs of children and adolescents. In this sense, the cases we have seen in this article are examples of this interdisciplinary and multifactorial approach. On the one hand, the Barnahus model improves efficiency in managing cases of child sexual abuse through coordination between various services; on the other hand, deinstitutionalization is a perspective that places children’s well-being at the center and works to prevent and reduce situations of uprooting; and finally, the different technological tools provide useful instruments to advance towards a more efficient and innovative social sector, capable of facing the new challenges of today’s society.

References

Barnahus en España. (n. d.). Children’s Rights. https://www.coe.int/es/web/children/barnahus-spain [04/06/24]

Barnahus, servei d’atenció a infants víctimes d’abusos sexuals. (February 22, 2024) Fundació iSocial. https://isocial.cat/barnahus-servei-atencio-infants-victimes-abusos-sexuals/ [04/06/24]

Estrategia de protección de la infancia. (n. d.). UNICEF. https://www.unicef.org/es/documents/estrategia-de-protecci%C3%B3n-de-la-infancia#:~:text=La%20protecci%C3%B3n%20infantil%20es%20la%20prevenci%C3%B3n%20y%20la,del%20Ni%C3%B1o%20y%20los%20Objetivos%20de%20Desarrollo%20Sostenible [04/06/2024]

Estrategia estatal de desinstitucionalización. (December 18, 2023). Estrategia estatal de desinstitucionalización. https://estrategiadesinstitucionalizacion.gob.es/ [04/06/24]

El modelo Barnahus. (n. d.). Save The Children. https://www.savethechildren.es/modelo-barnahus [04/06/24]

Emantik, servei de detecció i atenció del malestar infantil i adolescent. (April 21, 2022) Fundació iSocial. https://isocial.cat/emantik-servei-de-deteccio-i-atencio-del-malestar-infantil-i-adolescent/ [04/06/24]

Infancia y juventud. (n.d). Proyecto EDI. https://estudiodesinstitucionalizacion.gob.es/infancia-y-juventud/ [04/06/24]

Ocón, J. (November, 2006). Normativa internacional de protección de la infancia. Cuadernos de Trabajo Social. https://www.researchgate.net/publication/27591862_Normativa_internacional_de_proteccion_de_la_infancia [04/06/2024]

Picontó, T. (June 22, 2016). Fisuras en la Protección de los Derechos de la Infancia. Cuadernos Electrónicos de Filosofía del Derecho. https://zaguan.unizar.es/record/64536/files/texto_completo.pdf [04/06/2024]

Primero, plataforma digital per a la protecció de la infància en contextos migratoris (June 7, 2022). Fundació iSocial. https://isocial.cat/primero-plataforma-digital-per-a-la-proteccio-de-la-infancia-en-contextos-migratoris/ [04/06/24]

Proyecto EDI. (n.d). Estudio sobre los procesos de desinstitucionalización y transición hacia modelos de apoyo personalizados y comunitarios: Niños, niñas y adolescentes. Observatorio de la Infancia. https://www.observatoriodelainfancia.es/oia/esp/descargar.aspx?id=8553&tipo=documento [04/06/24]

Rafiki uses artificial intelligence to support child and youth care practitioners. (May 17, 2022). Sos Children’s Villages. https://www.sos-childrensvillages.org/news/rafiki-digital-care-assistant [04/06/24]

Síndic de Greuges. (November, 2023). Desinstitucionalització del sistema de protecció a la infància i l’adolescència. https://www.sindic.cat/site/unitFiles/9755/Informe%20centres%20de%20proteccio%20sencer_cat.pdf [11/06/24]

Violencia contra las niñas y los niños. (June 6, 2023). OPS/OMS | Organización Panamericana de la Salud. https://www.paho.org/es/temas/violencia-contra-ninas-ninos [04/06/24]

Vulnerabilidad y Exclusión en la Infancia. (n. d.). UNICEF España. https://www.unicef.es/publicacion/vulnerabilidad-y-exclusion-en-la-infancia [04/06/24]

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