Aporta Challenge 2021
Under the slogan "The value of data for the health and well-being of citizens" is the fourth edition of the Aporta Challenge aimed at capturing, analysing and using the intelligence of data in the development of solutions for the prevention, diagnosis, treatment, monitoring and management of aspects related to citizens’ health and lifestyles.
The aim of the Aporta Challenge is to identify and recognise new ideas and prototypes that improve efficiency in a specific sector of activity with solutions based on the use of data, in which open data is present; it is therefore an innovation process where participants develop projects, starting from a real need (the idea) to try to find a solution based on the appropriate use of available data (the prototype).
- To access and sign applications at the red.es electronic office, you must download and install the latest version of the Autofirma application. You can download it from the following link.
- In order to sign the presentation of your application, you must have a digital certificate installed. You can obtain it through various certifying entities (FNMT, Camerfirma, electronic DNI). We provide you with a link where all the certificates supported by the platform appear.
As indicated in the Regulations for participation in the Aporta 2021 Challenge, the call aims to reward ideas and prototypes that identify new opportunities to capture, analyse and use data intelligence in the development of solutions for citizens’ health care and well-being.
The Aporta Challenge takes place in two phases:
- PHASE I: Contest of ideas.
- PHASE II: Development of the prototype and in-person presentation.
In Phase I, participants will submit their ideas and up to ten of the best ones submitted will be selected, in accordance with the evaluation procedure described in the Regulations.
Both natural or legal persons with a registered office in the European Union may participate, either individually or jointly as a team. In the case of a legal entity or team, a spokesperson will be chosen.
Although only one idea per participant will be accepted, the same person may submit several ideas as a member of different teams.
Each idea will be submitted in English and shall comply with the following conditions:
- It will be developed in the context of aspects related to citizens’ health or well-being.
- It will be associated with the use of data generated by Public Administrations, whether national or international, as well as other data from public or private entities, on an optional basis.
- It will be accompanied by a 120 to 180 second long descriptive video. The video must be recorded in Spanish and in horizontal format, preferably in mp4, and it must not exceed 25Mb.
- The idea must not have won any previous awards.
- It must be an original idea and must not have been associated with a commercial or non-commercial solution prior to its development by the participant in the context of the Challenge.
In Phase II, those participants whose ideas have been selected in the previous phase will develop the prototype and present it to the members of the Jury, in accordance with the evaluation procedure described in the Regulations.
Each prototype must comply with the following conditions:
- It will be developed in the context of aspects related to citizens’ health or well-being.
- It will be associated with the use of data generated by Public Administrations, whether national or international, as well as other data from public or private entities, on an optional basis.
- The related documentation must be in Spanish.
- The prototype must not have won any previous awards.
- The prototype must be original and must not exist in association with a commercial or non-commercial solution, prior to its development by the applicant in the context of the Challenge.
In this "Aporta Challenge 2021" Contest, the following prizes will be awarded to the three prototypes that receive the best evaluation from the Jury according to the established evaluation criteria:
- First place: €5,000
- Second place: €4,000
- Third place: €3,000
To participate in the Aporta 2021 Challenge, applications must be submitted using the specific form published at the red.es Electronic Headquarters and must be digitally signed by the applicant.
The documentation required to participate in the Challenge must be submitted at two different times:
1. Documentation to be submitted at the time of formalising the application in Phase I
The presentation of ideas for the Challenge will be carried out using the online form available at the red.es Electronic Headquarters.
The online form includes the following sections:
- Details of the participant, who may be a natural person or a legal entity.
- Details of the team in the event that the application is presented jointly by several natural persons or legal entities.
- Details of the spokesperson who will act on behalf of the legal entity or team, in the case of an application submitted by several natural persons or legal entities, and who will act on behalf of the others in their dealings with red.es.
- Proposed idea. This will include, among others, the title and summary of the idea presented. It will be complemented with the type of solution, the differentiating aspects, evidence of the relevance, clarity and quality, the impact on improving the health or well-being of citizens affected by the proposed idea, all of which will be evaluated on the basis of the established evaluation criteria. Reference to public data sources used must also be included.
- Link to the submission of a descriptive video of the idea, between 120 and 180 seconds long. The video must be recorded in Spanish and in horizontal format, preferably in mp4 and it must not exceed 25Mb.
Submission of the application will include a field of conformity through which the spokesperson will accept the terms and conditions of the Regulations, signing a declaration of liability confirming the truth of the information provided in the form and of compliance with the established participation requirements.
The deadline for the presentation of the applications is 15 February 2022 at 13:00.
No applications received after the closing date and time for the submission thereof established in these Regulations will be accepted, nor will those received through channels other than the specific form available at the Electronic Headquarters.
Remember to submit your application well in advance in order to deal with any last-minute technical problems that may arise.
2. Documentation to be submitted by participants who go on to Phase II
Those classified participants who go on to Phase II of the Challenge must submit the following documentation using a specific form, which will be published in due course at the red.es Electronic Headquarters:
- DNI, NIE or passport of the spokesperson, if it is a natural person.
- Deed of Incorporation registered in the corresponding Commercial Register and ab ID number in the case of a legal entity.
- If acting through a representative, the representation must be proven by any legally valid means and the ID card of that representative.
- Certificate proving that they are up to date with their tax obligations and, where applicable, with Social Security contributions.
- Declaration of liability stating that the applicant is not subject to any of the prohibitions set out in Article 13.2 of Law 38/2003, of 17 November, General Law on Subsidies.
The deadline for the presentation of this documentation will be 5 working days, starting from the day after receipt of the request.
Phase I: Contest of ideas
Phase I consists of a detailed description of an idea that identifies new opportunities to capture, analyse and use data intelligence in the development of solutions for citizens’ health care and well-being.
The application with the description of the idea will be made by filling in the form available for this purpose at the red.es Electronic Headquarters.
Once the deadline for the submission of applications has expired, it will be verified whether the idea submitted meets the requirements for participation in the Contest, in accordance with the terms and conditions of the Regulations. All accepted proposals will be evaluated by the Jury.
After the evaluation of the ideas submitted, up to 10 proposals with the highest scores will be selected and finalists will be required to submit the documentation established in the Regulations within the deadline.
Finally, the classified ideas that go on to Phase II will be published at the red.es Electronic Headquarters.
Phase II: Development of the prototype and in-person presentation.
During Phase II, each of the participants selected in Phase I must develop a prototype associated with the proposed idea. These prototypes will consist of a functional solution that simulates, represents and allows interaction or validates the initial hypotheses of the idea.
This will be done within a minimum period of 2 months from the month following the publication of the classified ideas.
Once this period has elapsed, the prototypes produced will be presented, either in person in Madrid or virtually, on the designated date and time.
After the final evaluation of the prototypes, a list of the the winners of the Aporta 2021 Challenge will be published on the website.
The jury is made up of representatives of the Public Administrations and of organizations and companies, both in the ICT field and in the educational field. The participants, collected in resolution of the general director of red.es, are the following:
Miguel Valle del Olmo
Evaluation PHASE I: Contest of ideas
The evaluation of the ideas submitted will be carried out by a Jury made up of representatives from both the ICT field and the health and well-being sector.
Each proposal will be evaluated from 0 to 10 points. The following aspects will be evaluated:
- Relevance: the idea is linked to the field of citizens' health or well-being, it is innovative, original, offers a critical and constructive perspective, and is stimulating. Up to a maximum of 2.5 points.
- Overall quality and clarity of the proposed idea: the idea presented refers to a concise objective, is well explained and structured, and reflects expertise in the particular area on which it is based. Up to a maximum of 2.5 points.
- Impact of the proposed idea on improving citizens’ health and well-being: includes clear evidence of its impact on improving the quality of citizens’ health and well-being. Up to a maximum of 2.5 points.
- Data sources used: includes specific and precise references to the public sector data to be used and, where appropriate, to other private sources. Up to a maximum of 2.5 points.
Evaluation PHASE II: Prototype development and exhibition
The ten proposals with the highest scores will go on to Phase II.
On the previously indicated place and date, each participant will make a presentation of their prototype to the Jury for a maximum of 12 minutes. Each spokesperson must then answer the Jury's questions on any aspect related to their proposal.
This presentation, as well as the resolution of the queries raised, will allow the Jury to make the final evaluation of the prototypes and select the winners. The following aspects will be evaluated in this Phase II:
- Ease of use: simplicity of the prototype proposed and the agility with which the user will achieve the objectives set. Up to a maximum of 2.5 points.
- Technical quality of the prototype: degree of development and level of interaction that the proposed simulation allows. Up to a maximum of 2.5 points.
- Feasibility: possibility of developing the final product and of replicating it. Likewise, prior analysis of possible financing channels, continuity of development until the final phase and sustainability over time will also be evaluated. Up to a maximum of 2.5 points.
- Quality of the presentation: clarity, organisation, structure, adjustment to the presentation time and enthusiasm and interest shown in the work developed. Up to a maximum of 2.5 points.
Upon completion of all evaluations, the Jury will determine which three proposals are the winners based on the scores obtained. The winning prototypes will be initially announced within 3 working days from the day after the defence of the prototypes. The prizes indicated in the Regulations would be awarded during the announcement of the winners.
The Jury's decision will be unappealable.
Below are the 10 ideas that have received the highest score from the jury in PHASE I: Contest of ideas of the Challenge Aporta 2021 “The value of data for the health and well-being of citizens”. These 10 applications are finalists in PHASE II: Development of a prototype.
Many thanks to all the participants for their effort, which has been reflected in the high quality of the proposals presented.
Let us look at each candidacy in detail:
A platform will be built to reduce rescue time and optimise medical care in the event of an emergency. Parameters will be analysed to categorise areas by defining the risk of mortality and identifying the best places for aerial rescue vehicles to land. This information will also make available which areas are the most isolated and vulnerable to medical emergencies, information of great value for defining strategies for action that will lead to an improvement in the management and resources to be used.
The platform seeks to integrate information from all the autonomous communities, including population data (census, age, sex, etc.), hospital and heliport data, land use and crop data, etc. Specifically, data will be obtained from the municipal census of the National Statistics Institute (INE), the boundaries of provinces and municipalities, the land use classification of the National Geographic Institute (IGN) and data from the SIGPAC (MAPA), among others.
Team: SialSIG aporta, composed of Laura García and María del Mar Gimeno.
With the aim of improving hospital management, the DSLAB proposes an interactive and user-friendly dashboard that allows: monitor hospital pressure, evaluate the actual load and saturation of healthcare centres and forecast the evolution of this pressure. This will enable better resource planning, anticipate decision making and avoid possible collapses.
To realise the tool's potential, the prototype will be created with open data relating to COVID in the Autonomous Community of Castilla y León, such as bed occupancy or the epidemiological situation by hospital and province. However, the solution is scalable and can be extrapolated to any other territory with similar data.
Team: DSLAB, data science research group at Rey Juan Carlos University, composed of Isaac Martín, Alberto Fernández, Marina Cuesta and María del Carmen Lancho.
RIAN was created to promote healthy habits and combat overweight, obesity, sedentary lifestyles and poor nutrition among children and adolescents. It is an application for mobile devices that uses gamification techniques, as well as augmented reality and artificial intelligence algorithms to make recommendations. Users have to solve personalised challenges, individually or collectively, linked to nutritional aspects and physical activities, such as gymkhanas or games in public green spaces.
The pilot uses data relating to green areas, points of interest, greenways, activities and events from the cities of Málaga, Madrid, Zaragoza and Barcelona. These data are combined with nutritional recommendations (food data and nutritional values and branded food products) and data for food image recognition from Tensorflow or Kaggle, among others.
Team: RIAN Open Data Team, composed of Jesús Noguera y Raúl Micharet.
MentalReview is a mental health monitoring tool to support health and social care management and planning, enabling institutions to improve citizen care services. The tool will allow the analysis of information extracted from open databases, the calculation of indicators and, finally, the visualisation of the information through graphs and an interactive map. This will allow us to know the current state of mental health in the Spanish population, identify trends or make a study of its evolution.
For its development, data from the INE, the Sociological Research Centre, the Mental Health Services of the different autonomous regions, the Spanish Agency for Medicines and Health Products or EUROSTAT, among others, will be used. Some specific examples of datasets to be used are: anxiety problems in young people, the suicide mortality rate by autonomous community, age, sex and period or the consumption of anxiolytics.
Team: Kairos Digital Analytics and Big Data Solutions S.L.
HelpVoice! is a service that helps our elderly through voice recognition techniques based on automatic learning. In an emergency situation, the user only need to click on a device that can be an emergency button, a mobile phone or home automation tools and tell about their symptoms. The system will send a report with the transcript and predictions to the nearest hospital, speeding up the response of the healthcare workers. In parallel, HelpVoice! will also recommend to the patient what to do while waiting for the emergency services.
Among other open data, the map of hospitals in Spain will be used. Speech and sentiment recognition data will also be used in the text.
Team: Data Express, composed of Sandra García, Antonio Ríos and Alberto Berenguer.
In the current context of rising temperatures, the Living Cities team proposes to develop open software to promote the adaptation of cities to climate change, facilitating the planning of urban shading. Using spatial analysis, remote sensing and modelling techniques, this software will allow to know the level of insolation (or shading) with high spatio-temporal resolution (every hour of the day at every square metre of land) for any municipality in Spain. The team will particularly analyse the shading situation in the city of Seville, offering its results publicly through a web application that will allow consultation of the insolation maps and to obtain shade routes between different points in the city.
Living Cities is based on the use of open remote sensing data (LiDAR) from the National Aerial Orthophotography Programme (PNOA), the Seville city trees and spatial data from OpenStreetMap.
Team: Living Cities, composed of Francisco Rodríguez-Sánchez and Jesús Sánchez-Dávila.
So Good Data is proposing a study to analyse the impact of air pollution on the number of hospital admissions for respiratory diseases. It will also determine which pollutant particles are likely to be most harmful. With this information, it would be possible to predict the number of admissions a hospital will face depending on air pollution on a given date, in order to take the necessary measures in advance and reduce mortality.
Among other datasets, hospitalisations due to respiratory diseases, air quality, tobacco sales or atmospheric pollen in the Community of Madrid will be used for the study.
Team: So Good Data, composed of Ana Belén Laguna, Manuel López, Vicente Lorenzo, Javier Maestre and Iván Robles.
The BOLT team will create a web application that allows the user to obtain an estimate of the average waiting time for consultations, tests or interventions in the public health system of Catalonia. The time series prediction models will be developed using Python with statistical and machine learning techniques. The user only need to indicate the hospital and the type of consultation, operation or test for which he/she is waiting. In addition to improving transparency with patients, the website can also be used by healthcare professionals to better manage their resources.
The Project will use data from the public waiting lists in Catalonia published by CatSalut on a monthly basis. Specifically, monthly data on waiting lists for surgery, specialised outpatient consultations and diagnostic tests will be used from at least 2019 to the present. In the future, the idea could be adapted to other Autonomous Communities.
Team: BOLT, composed of Víctor José Montiel, Núria Foguet, Borja Macías, Alejandro Pelegero and José Luis Álvarez.
This is a web environment based on MERN, Python and Pentaho tools for the analysis and interactive visualisation of the Hospital Morbidity Survey microdata. The entire project will be developed with open source and free tools. Both the code and the final product will be openly accessible. Specifically, it offers 3 major analyses with the aim of improving health planning: descriptive: hospital discharge counts and time series, KPIs: standardised rates and indicators for comparison and benchmarking of provinces and communities and Flows: count and analysis of discharges from a hospital region and patient origin. All data will be filterable according to dataset variables (age, sex, diagnoses, circumstance of admission and discharge, etc.).
In addition to the microdata from the INE's Hospital Morbidity Survey, it will also integrate Statistics from the Continuous Register (also from the INE), data from the Ministry of Health's catalogues of ICD10 diagnoses and from the catalogues and indicators of the Agency for Healthcare Research and Quality (AHRQ) and of the Autonomous Communities, such as Catalonia: catalogues and stratification tools.
Team: Marc Coca Moreno
This is a web App to facilitate accessibility for people with mobility problems and promote healthy exercise for all citizens. The tool assesses whether your route is affected by any incidents in public lifts and, if so, proposes an alternative accessible route, also indicating the level of traffic (noise) in the area, air quality and cardioprotection points. It also provides contact details for nearby means of transport. This web App can also be used by public administrations to monitor the use and planning of new accessible infrastructures.
The prototype will be developed using data from the Digital Twin of Ermua's public lifts, although the model is scalable to other territories. This data is complemented with other public data from Ermua such as the network of environmental sensors, traffic and LurData, among other sources.
Team: TWINPLAN, composed of Ivan Araquistain, Josu Ansola and Iñaki Prieto
The prototype defense session took place on October 18, 2021, in a face-to-face format. The 10 finalists presented to the jury their proposals to drive improvements in the health and wellness sector, based on open data.
HelpVoice! is a service that helps our elderly through voice recognition techniques based on automatic learning. Thus, in an emergency situation, the user only need to click on a device that can be an emergency button, a mobile phone or home automation tools and tell about their symptoms. The system will send a report with the transcript and predictions to the nearest hospital, speeding up the response of the healthcare workers.
In parallel, HelpVoice! will also recommend to the patient what to do while waiting for the emergency services. Regarding the use of data, the Data Express team has used open information such as the map of hospitals in Spain and uses speech and sentiment recognition data in text.
Team: Data Express, composed of Sandra García, Antonio Ríos and Alberto Berenguer.
This is a web environment based on MERN, Python and Pentaho tools for the analysis and interactive visualisation of the Hospital Morbidity Survey microdata. The entire project has been developed with open source and free tools and both the code and the final product will be openly accessible.
To be precise, it offers 3 main analyses with the aim of improving health planning:
- Descriptive: hospital discharge counts and time series.
- KPIs: standardised rates and indicators for comparison and benchmarking of provinces and communities.
- Flows: count and analysis of discharges from a hospital region and patient origin.
All data can be filtered according to the variables of the dataset (age, sex, diagnoses, circumstance of admission and discharge, etc.).
In this case, in addition to the microdata from the INE Hospital Morbidity Survey, statistics from the Continuous Register (also from the INE), data from the ICD10 diagnosis catalogues of the Ministry of Health and from the catalogues and indicators of the Agency for Healthcare Research and Quality (AHRQ) and of the Autonomous Communities, such as Catalonia: catalogues and stratification tools, have also been integrated.
You can see the result of this work here.
Team: Marc Coca Moreno
This project was created to promote healthy habits and combat overweight, obesity, sedentary lifestyles and poor nutrition among children and adolescents. It is an application designed for mobile devices that uses gamification techniques, as well as augmented reality and artificial intelligence algorithms to make recommendations.
Users have to solve personalised challenges, individually or collectively, linked to nutritional aspects and physical activities, such as gymkhanas or games in public green spaces.
In relation to the use of open data, the pilot uses data related to green areas, points of interest, greenways, activities and events belonging to the cities of Malaga, Madrid, Zaragoza and Barcelona. In addition, these data are combined with nutritional recommendations (food data and nutritional values and branded food products) and data for food recognition by images from Tensorflow or Kaggle, among others.
Team: RIAN Open Data Team, composed of Jesús Noguera y Raúl Micharet..
