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
‘Peer-to-peer’ trade in energy
Enabling peer-to-peer energy trading by leveraging prosumer analytics.
Accelerating Mass Personalization
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.
In het 'Dynamic Data Analytics through automatically Constructed Machine Learning Pipelines' project (acronym ANDAMOOSE) wordt de data-dynamiek van twee focusprojecten onderzocht.
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?
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.
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.
Products designed for mass-production do not match many people’s personal needs, often, an exact and personalised fit is essential.
This project focuses on achieving reliable and explainable big data analysis of media files. In particular, metrics will be developed that indicate how accurate the results of the big data analysis are.
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 banking and insurance
Banken en verzekeringsmaatschappijen streven ernaar om voor het analyseren van het gedrag van hun klanten de grote hoeveelheden gegevens die intern en extern beschikbaar komen te gebruiken.
Data-driven shared decision making on cancer treatment
Helping cancer patients choose the best treatment: Data-driven shared decision making on cancer treatment for individual patients.
To achieve FAIR and FACT, providers of data-driven services must comply with the rules on data protection, and in particular with concrete requirements of transparency of algorithmic decision-making in the General Data Protection Regulation (GDPR).
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
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.
Distributed FAIR information systems
Data sources from different owners increase considerably in value when they can be combined.
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
Onze toegenomen levensverwachting gaat hand in hand met een
toename van het aantal levensjaren waarin we een chronische aandoening hebben,
zoals diabetes, longaandoeningen of hart- en vaatziekten. Dergelijke chronische
aandoeningen kunnen niet genezen, maar de gekozen levensstijl heeft wel een
grote impact op het verloop van de aandoening, kwaliteit van leven en in welke
mate co-morbiditeiten optreden.
Enabling of privacy-friendly analysis
Today's big data analysis is characterized not only by the required enormous computing power, but also the broadband network connections between computer and "the cloud".
EPI - Enabling Personalized Interventions
In dit project worden een platform voor het veilig en
betrouwbaar delen van grote heterogene databronnen en daarop werkende
data-analyse technieken ontwikkeld. Het doel is de beste medische- en lifestyle
interventies te bepalen gegeven de betreffende persoonlijke gezondheidssituatie
van gebruikers van dit platform.
Explainable and Safe AI
Modern as well as traditional AI solutions appear to be susceptible to subtle external disturbances. For example, deep neural networks with manipulations of input that are not perceptible to humans can be put on the wrong footing.
Explainable and safe AI (military)
For the VWData programme, the Ministry of Education, Culture and Science and the Ministry of Defence have made a subsidy available under the Start Impulse-2 scheme for an additional research activity on "interpretable safe Artificial Intelligence in the military domain".
Equal access to news is a precondition for a well-functioning democracy. Data analytics and personalized recommendations make it possible to pre-sort news based on individual user profiles and social sorting.
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.
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.
Multidimensional big data modelling
Multidimensional big data modelling to ensure the long-term supply of electricity and heat.
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.
Partitioned FAIR health data responsibly
While the project Distributed FAIR information systems to enable federated learning and reasoning focuses on the architecture of federated solutions, this project focuses on the federated learning framework and its ethical, legal and societal aspects.
PIE=M stands for Physicians Implement Exercise is Medicine (doctors introduce movement as a medicine).
Power4FitFoot - Datdriven personalized self-management
Minder zieke mensen en betere zorg, dat is ons doel. Zorg is één van de grootste uitgavenposten met zo’n 75 miljard euro per jaar. Wat als je dat bedrag drastisch omlaag kunt krijgen door mensen op voorhand al te waarschuwen voor een mogelijke ziekte, waardoor ze hun gedrag op tijd kunnen aanpassen, of op tijd de juiste behandeling krijgen?
Protection of electricity networks through simulation
Resilient Synchromeasurement-based Grid Protection Platform
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.
Responsible Collection and Analysis
Responsible Collection and Analysis of Personal Data in Law Enforcement
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
Zelfmonitoring, het zelf bijhouden van gezondheidsdata door middel van technologieën zoals smartphones en draagbare sensors, wordt gezien als een veelbelovend middel om mensen met chronische aandoeningen te ondersteunen bij ziektemanagement.
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.
Smart Sports Exercises
This project introduces new forms of indoor training. This is done in a 'smart sports hall'.
SQIREL-Graphs richt zich op het ontwikkelen van Big Data systemen voor het verwerken van vragen over grafen die continu veranderen, zoals sociale netwerken en Web collecties (die met links naar elkaar verwijzen).
Supreme - Smart Sensoring
To reduce the down time and associated costs in a production facility, the predictability of failures is very important.
Het Techniques for the Analysis of Client-Team InteraCtionS (TACTICS) - project richt zich op de ontwikkeling van geavanceerde technieken om de interacties tussen cliënten en professionele teams te onderzoeken zoals die typisch plaatsvinden binnen de zorg- en dienstverlening.
The greenhouse as a flexible energy source
Energy saving in greenhouse crop production by flexible management
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.
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
In 2013 is op initiatief van bedrijven, kennisinstellingen en melkveehouders het programma SmartDairyFarming 1.0 opgestart. Waarbij het gezamenlijke doel was om innovatieve middelen te ontwikkelen ter verlenging van de levensduur van koeien.
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.