Based on the available instruments of the Commit2Data research and innovation program and the NWA Start Impulse Program, VWData, several projects have started to further develop the use of Big Data.
Overview of the projects related to Commit2Data and VWData
Accelerating Mass Personalization in Orthopedics facilitated by Machine Learning and Bone MRI-based Digital Fabrication
This project aims at development of personalized implants to improved accuracy of reconstructive surgery. A crucial prerequisite for successful application of digital fabrication in orthopedics is the availability of accurate 3D information of structure and function of the bone and surrounding soft tissue.
Active4Life; optimization of use and effects of eHealth
Dit project genereert nieuwe kennis en inzicht om volwassenen en ouderen (ziek en gezond) te stimuleren tot meer bewegen, met aandacht voor kwetsbare groepen.
Er zijn vier werkpakketten (WPs).
The production of free glass saw significant technological innovations in the twentieth century. Dutch glass artist Sybren Valkemas (1916-1996) study of historical sources and his practical work contributed crucially to these innovations. What role did historical sources on the changing production of glass in Europe between 1500 and 1996 play in his work? How did he use these sources to innovate technology and education?
BLISS: Behaviour Based Language-Interactive Speaking Systems
The availability of large amounts of personal data (Big Data) and the enormous improvements recently made in language and speech technology offer new opportunities for self-management and empowerment of clients in healthcare. This research proposal is based on a broad definition of health and well-being as happiness and aims to develop an interactive, Dutch speaking system that helps people increase their well-being and happiness.
CARRIER - Coronary ARtery disease: Risk estimations and Interventions for prevention and EaRly detection
Cardiovascular diseases are a major cause of death in the Netherlands and other Western countries. The most common cardiovascular diseases are coronary heart disease (CHZ). Lifestyle plays an important role in the development of CHZ
Cross-Industry Predictive Maintenance Optimization Platform (CIMPLO)
Traditional maintenance concepts rely on a ‘fixed interval approach”, which takes into account a significant safety margin. As a consequence maintenance is almost always taking place too early or too late, which makes it probably one of the most inefficient industrial activities and most critical at the same time.
Data for zero-defect manufacturing
For the past decades, the use of feedback and feedforward control systems has been essential in every automated process stage in advanced production systems for fulfilling tight and rigid product specifications at each stage.
Data Logistics for Logistics Data
Data Logistics for Logistics Data is an innovation project of TNO together with the UvA that fits in with the ambitions of the Top Sector Logistics and Commit2Data.
Data-driven shared decision making on cancer treatment
When someone is first diagnosed with cancer, patient and doctor jointly need to decide which treatment to opt for from the range of possible treatments. Decision tools have been developed to support this diﬃcult process, but, unfortunately, these tend to be generic and population-based, focus exclusively on long-term survival and lack person- alised explanations.
DataRel - Big Data for Resilient Logistics
The Netherlands is the European leader in the field of transport, logistics and supply chain. However, the logistics sector is currently undergoing radical changes.
Deep Learning to extract biomarkers for the diagnosis and personalized treatment of neuropsychiatric disorders
Psychological disorders have a major impact on people's lives. Rapid recovery depends on proper diagnosis and treatment. The problem is, however, that there are no objective criteria to determine exactly which psychiatric condition a patient has and which treatment is best for him or her.
Designing Rhythms for Social Resilience
In this research, we contribute to the humanities by an analysis of how people process their life experiences within cities, and also by examining how these experiences are increasingly being documented within urban data centers.
DiaGame: Serious and personalized game for self-management of diabetes
Self-care is now seen as the primary approach to diabetes. However, this is a complex task, with many facets, in which training and education are crucial. However, not everyone has a dry explanation. Gamification has the great advantage that habits can change in a fun and attractive way.
DISTANT - Defending against Implementation attackS Through mAchiNe learning Techniques
Chipkaarten zoals transport- of bankkaarten zijn gewilde doelwitten voor aanvallers die hiervoor vaak gebruik maken van zijkanalen. Dit voorstel zal de kracht van zulke aanvallers in schatten met behulp van machine learning algoritmen teneinde deze toestellen, en onze data in het algemeen, te beschermen met de gepaste tegenmaatregelen.
Dynamic Data Analytics through automatically Constructed Machine Learning Pipelines
In the 'Dynamic Data Analytics through automatically Constructed Machine Learning Pipelines' project the data dynamics of two focus projects are investigated.
EciDA: Evolutionary Changes in Distributed Analysis
The objective of this TKI proposal is: to develop and establish IoT and (big) data driven analysis platform allowing the on-the-fly changes of data sources and changing data analysis steps and its parameters in runtime according to the changing environmental situation.
EDIC: Exceptional and Deep Intelligent Coach
Our increased life expectancy goes hand in hand with an increase in the number of life years in which we have a chronic condition, such as diabetes, lung disease or cardiovascular disease. Such chronic conditions cannot be cured, but the chosen lifestyle does have a major impact on the course of the condition, quality of life and the extent to which co-morbidities occur.
Enabling peer-to-peer energy trading by leveraging prosumer analytics
More than 30% of the electricity generated in the OECD countries is consumed in homes. Therefore, the involvement of small consumers is important for obtaining a sustainable energy system.
Energy saving in greenhouse crop production by flexible management
The goal of this project is to develop greenhouse climate management support that substantially saves on gas, by employing data streams on weather and on the energy grid. This type of management will at the same time reduce the peak loads on the electricity grid, thereby helping the transition to cleaner energy.
EPI - Enabling Personalized Interventions
In this project a platform for the safe and reliable sharing of large heterogeneous data sources and data analysis techniques will be developed. The aim is to determine the best medical and lifestyle interventions given the relevant personal health situation of users of this platform.
Genetic data in daily medical practice
Individuals react differently to drugs. In some people a drug is broken down too quickly, making it ineffective, in others it is broken down too slowly, which can lead to (serious) side effects. These differences are largely due to variations in the hereditary material, the DNA.
Geometric Algorithms for the Analysis and Visualization of Heterogeneous Spatio-temporal Data.
Movements of vehicles, people and animals are increasingly being measured and stored, thanks to technologies such as GPS. An important example of this is digital tracks of the routes taken by cars. Not only the route points, but also the times of measurements are stored, so that speed along the tracks can be determined everywhere.
Renewable energy such as sun and wind contributes to a sustainable world. Because of their partly controllable variation in mostly decentralised energy generation, balancing the electricity network is becoming increasingly difficult.
Information Value provider (SDF2.0)
The objective of this TKI project is to create value based on shared information for Smart Dairy Farming by TNO (Creating Shared Information Value for Smart Dairy Farming), which is called Smart Dairy Farming 2.0, SDF 2.0, within the project "knowledge questions infrastructure".
Kids first, towards a pedagogical sport climate
Youth sports contribute to a number of positive aspects such as self-confidence. Unfortunately, bullying or intimidation also occurs at sports clubs. In order to increase the value of youth sports and to reduce problem behaviour, a pedagogical climate must be created.
MASCOT - MeAsuring Security in Cloud OuTsourcing
Clouddiensten zijn tegenwoordig standaard onderdeel van bedrijfsprocessen. Veelgenoemde veiligheidsvoordelen van de cloud zijn beschikbaarheid van ervaren personeel, bandbreedte en rekenkracht om aanvallen af te slaan. Recente cloudstoringen trekken dit echter in twijfel. MASCOT gaat grondig de weerbaarheid van de cloud onderzoeken, en de uitkomsten gebruiken voor écht veilige cloudstrategieën.
Multi-dimensional big data modelling to ensure long-term power and heat system adequacy
Multidimensional big data modelling to ensure the long-term supply of electricity and heat.
MyDigiTwin: Using Big-Data to put a cardiovascular digital twin into the hands of people
With the MyDigiTwin platform you can create a 'Digital Twin' of yourself based on a comparison of your data with hundreds of thousands of others. This provides insight into your health and where you can improve. MyDigiTwin can also compare your data with the guidelines your doctor uses. This gives you an always up-to-date insight into your risk of cardiovascular disease and you can help yourself to recognize disease early and to consult a doctor in time.
Nationaal placement registry for pipe networks
Effective asset management of underground infrastructures requires information about the probability of failure of (parts of) those infrastructures. A significant part of the failure costs is caused by ground settlements.
Neighborhood Energy & Data Management Integration System
Data at neighbourhood level: central learning or local gossiping. The integration of decentralised renewable energy has consequences for the stability of the grid. The building, the installations and the users can offer energy flexibility.
Next UPPS - Integrated design methodology for Ultra Personalised Products and Services
Products designed for mass-production do not match many people’s personal needs, often, an exact and personalised fit is essential.
Perfect Fit: Targeting key risk factors for cardiovascular disease in at-risk individuals using a personalized and adaptive approach
It has long been known that smoking and insufficient exercise are important risk factors for developing cardiovascular diseases. Nevertheless, it is difficult to stop smoking or to start exercising, even for people who do want to do so. One reason for this is that support from a healthcare provider is not always available when it is most needed.
PIE=M stands for Physicians Implement Exercise is Medicine (doctors introduce movement as a medicine).
Power4FitFoot - Datdriven personalized self-management
Less sick people and better care, that's our goal. Health care is one of the largest items of expenditure, with around EUR 75 billion per year. What if you can drastically reduce that amount by warning people in advance of a possible illness, so that they can change their behaviour in time, or get the right treatment in time?
Protection of electricity networks through simulation
The project deals with the design of a new simulation platform for the electricity network. It can better detect disruptions using better measurements and big data, and can prevent the spread of disturbances. The new algorithms that detect disruptions will be validated with real data.
RATE-Analytics: Next generation predictive analytics for Data-driven banking and insurance
Banks and insurance companies strive to use the large amounts of data that become available internally and externally to analyse the behaviour of their customers.
Real-Time Data for Products to Move
The aim of this project is to develop and demonstrate real-time datadriven logistics methods and techniques.
Real-time data-driven maintenance logistics
Thanks to Internet-of-Things, maintenance logistics provide a wide variety of real-time data on assets on the one hand, and the spare parts and mechanics that repair these machines on the other.
Resilient athletes: A multidisciplinary personalized approach
Om gezond te blijven en optimaal te presteren moeten sporters veerkrachtig zijn. Zij krijgen te maken met verschillende uitdagingen, zoals zware trainingen en verloren wedstrijden. Wanneer sporters niet goed van deze uitdagingen herstellen, kunnen zij geblesseerd raken of in een dip komen.
Secure scalable policy-enforced distributed data processing
Sharing real-time big data in a secure and reliable way is essential for innovation in the logistics sector.
Self-monitoring based management of Multiple Sclerosis
Self-monitoring, the self-reporting of health data through technologies such as smartphones and portable sensors, is seen as a promising tool to support people with chronic conditions in disease management.
Sequoia: Smart maintenance optimization via big data & fault tree analysis
Can one improve the reliability of the (Dutch) railroads, and reduce the number of disruptions? We think we can, by deploying advanced data analytic techniques.
SHARE - Sharing data with cryptograpHic and differentiAlly pRivate guarantEes
Het SHARE project ontwikkelt geavanceerde vercijferingstechnieken die het mogelijk maken om gevoelige (bijvoorbeeld medische) gegevens in vercijferde vorm te delen. Deze technieken zorgen er hierbij voor dat de vercijferde data voor analyse- en zoekopdrachten niet ontcijferd hoeven te worden en dat niet wordt onthuld waar op gezocht is.
Smart Sports Exercises
This project introduces new forms of indoor training. This is done in a 'smart sports hall'.
Snowdrop: Big Data for the joint management of medication-related falls for senior citizens
In older persons, falls are the leading cause of injuries. Medications are a major risk factor for falls. Because we lack tools to assess individualized risks, general practitioners (GPs) struggle with fall-related medication management for seniors, and senior patients are not properly equipped to engage in the joint management of their medications.
SQIREL-Graphs focuses on the development of Big Data systems for processing questions about graphs that are constantly changing, such as social networks and Web collections (which refer to each other with links).
STRAP: Self TRAcking for Prevention and diagnosis of heart disease
Our goal is to find heart disease earlier and or prevent it. To achieve this goal, we conduct fundamental research using creative methods, big data and new techniques. We do this on the basis of 2 studies.
SUPREME - Smart Sensoring and Predictive Maintenance in Steel Manufacturing
To reduce the down time and associated costs in a production facility, the predictability of failures is very important. This can be achieved when firstly the relevant parameters on operational conditions are monitored and secondly that data is properly processed to obtain accurate estimates of time to failure.
The Techniques for the Analysis of Client-Team InteraCtionS (TACTICS) - project focuses on the development of advanced techniques to investigate the interactions between clients and professional teams that typically take place within the care and service industry
The Youngsters - Artificial Intelligence at the edge to support young animals for a sustainable smart farming
The first days in the life of young animals are seen as a critical period. Extra attention from the caregiver and alertness is required. To support this, it is being examined how a combination of different sensing methods and artificial intelligence technologies that can detect behaviour, position, activity, weight, temperature and heart rate on or in the environment of the young piglets and calves can give insight.
Thermo Tokyo: Beat the Heat
In the summer of 2020, the Olympic and Paralympic Games will take place in Tokyo. The temperature is above 30°C and the humidity is high. These conditions lead to reduced sports performance and potential health problems.
Three-dimensiOnal Passport for process Individualization in Agriculture (UTOPIA)
Agricultural food products naturally vary in their detailed internal structure. To facilitate early detection of health risks due to contamination or diseases, predict maturity state and minimize waste, it is crucial to take the internal characteristics of each individual product into account as these allow assessment of product quality, individualized product processing and detection of harmful specimens.
TKI Fieldlab digital factory: smart net
Within three years, the Fieldlab Digital Factory project will bring about a permanently competitive 'smart networked high-tech supply chain' that can also break through internationally thanks to its efficiency (lower transaction costs) and its effectiveness (less outages, more producible products - 20% profit in design, production and assembly).
TKI Jongvee: Smart Dairy Farming 3.0
The SmartDairyFarming 1.0 programme was launched in 2013 on the initiative of companies, knowledge institutes and dairy farmers. The common goal was to develop innovative means to extend the life span of cows.
ToGRIP: GRIP on freight TRIPS
Reliable and predictable travel times, waiting times and handling times are essential but not guaranteed for road hauliers, shippers and terminals.
Digital data and content knowledge are stored, in very large amounts. In line with this trend, more than 1,000,000+ apps are available in the different app stores, which creates challenges for users in selecting relevant apps and app suppliers in presenting relevant apps to users.
The Semantic Web needs interfaces for critical, trustworthy readings of Big Data for humanities research, cultural heritage and creative industries. (Re-)using data on the production and consumption of cultural goods, geodata, maps and building plans of the Dutch Golden Age, the Virtual Interiors project will unlock the research potential of big historical data in a geospatial context.
WheelPower: wheelchair sports and data science push it to the limit
Het doel van WheelPower is het verbeteren van de prestaties van atleten in hun handbewogen sportrolstoel, door het vermogen dat zij leveren te optimaliseren. Door het continu monitoren van vermogen tijdens trainingen en competitie, gecombineerd met directe feedback, kunnen de atleten en hun coaches de resultaten van objectieve lab- en veldtesten direct gebruiken.