CHALLENGE CATALOGUE

Challenge Catalogue

In this challenge catalogue, you find the challenges tackling the DVC Themes from Track 1, as well as the ‘ready-made challenges from Track 1, where the challenges, data sets and data providers are all pre-defined by us.

Profiling and clustering elderly people in need of support at home with data from different information sources and sectors

In this challenge the aim is to obtain the characteristics and profiles of dependent people, whose care is provided at home and their caregivers and to improve the lives of dependents and their careers.

New products and services to improve the wellbeing of elderly people and caregivers at home, respecting their desire to remain at home.

Identify products and services that can that contribute to the well-being and quality of life of dependent people and caregivers at home, related to mobility, lifestyles, health, consumption patterns or overload of the caregiver and prevent the unwanted institutionalization of older people.

Dynamic pricing and resource management for accommodation and food-beverage serving businesses

The challenge is to develop a friendly and affordable solution for accommodation and/or food-beverage micro-SMEs that facilitates the implementation of data-based dynamic pricing strategies based on customer demand forecasts and resources costs planning

Tourist flow and demand prediction in a territory

The challenge is to predict the flow of tourists in a territory in a given period, the key points of interest (and their key traits), and most probable behaviour (demand) per customer profile.

Impact of crisis and risk management strategies on sales and costs (the case of COVID-19)

The challenge is to develop a crisis and risk management tool able to simulate the impact of the safety measures, protocols and risks on expected sales and costs, over historical sales and inventory data and expected consumption trends.

Prediction of consumer behaviour in emergency scenarios (the case of COVID-19)

The challenge is to develop predictive models able to anticipate the key product demands and its peak times during the different stages of a crisis / emergency scenario, depending on customer profiles.

Building Occupancy & Comfort Inference

The goal of this challenge to develop an engine capable to estimate the occupancy inside a building as well the comfort conditions utilizing only energy consumption from central panel and indoor environmental conditions information.

Non-Intrusive Load Monitoring

The goal of this challenge is to disaggregate the energy consumption of building from central load to individual device loads in an unobtrusive manner.

Energy sources optimization

The goal of this challenge is to develop an engine able to optimize the use of energy sources, i.e. RES, storage, and load, of a building towards energy efficiency.

Privacy-aware provision of End-user feedback on product usage

The goal is to provide end-users of products with the possibility to share their user data, while keeping control of their data at all times.

Data-based Optimisation of Manufacturing Processes

The goal is to increase production orders of the manufacturing system, by optimising the cost of the Bill Of Materials (BOM).

Continuous Improvement of Product Design based on consumer data

The goal is to help product designers, and providers of technologies for product design, to leverage on manufacturing and end-user data to improve product designs

Smart Assistance to healthcare practitioners in fraud prevention

The goal is to avoid abuse from patients and customers and minimize the risk of fraud.

Profit optimisation of insurance companies by decreasing fraud-caused loss

The goal is to provide insurance companies of solutions that allow reducing financial losses by fraud. This is, to have the ability to control their operational risks in fraud and be able to comply with the associated regulatory directives regarding financial solvency.

Smart mechanisms for fraud detection in healthcare insurance

The goal is to get innovative solutions for detecting different types of cases of health insurance fraud.

Securing data transactions

The goal of this challenge is to provide secure authentication methods and protocols when transmitting sensitive data and activity/ healthy profiles.

Activity detection utilizing multi-modal data

The goal of this challenge is to detect the activity in indoor environments from multi-modal data, like audio-based and motion information.

Speech/ no speech activity detection

The goal of this challenge is to recognize speech and no speech activity inside building environment.

Improving stores’ efficiency using clients shopping times

The goal is to identify improvement opportunities both at commercial and operational level, by computing the ‘time in store’ per customer according to the shopping basket.

Catalogue deduplication

The objective is to significantly improve Dott.pt customer experience, as website navigation will be more consistent and better deals will be found, while working under real world constraints.

Fraud detection in healthcare reimbursement transactions

The objective of the challenge is to develop solutions that allow anti-fraud agencies and insurance companies to detect fraud in reimbursement operations committed by healthcare practitioners and patients. The solution should exploit datasets historical data of transactions of healthcare reimbursement requests, both for fraud detection of past operations but also to propose mechanisms to prevent fraud.

Detection on health insurance fraud

The objective is to derive market trends and insights from historical data related to healthcare reimbursement transactions. Hence, smart data grounded feedback can be supplied to insurance companies to aid them to better orientate their policies and offers to deliver higher value to healthcare practitioners and patients.

Keyword impact estimation for high-performance marketing campaigns

The main goal is the development of a predictive service enabling the selection of the best keywords to implement high impact digital marketing campaigns. This selection will allow the generation of brand awareness and market engagement thanks to the keyword performance estimation (probability of impression and click through rate indicator)

Credit risk analysis of sme based on financial data

YKT aims to identify the customers that they are probable to be default through analysing their financial data.

Risk optimization of small business in banking domain

YKT aims to identify the customers that they are probable to be default before any delinquency occurs in one of the scheduled payments of any products.

Flemish text-to-speech

The objective is to improve algorithms for text to speech for Flemish.

Dutch autosummarization

The main goal is to create a system that can create automatic summarizations of text.

Sustainable mobility model for events and tourist destinations

The goal is the generation of a sustainable mobility model for cities, both for businesses that want to know where visitors move, and for the administration in the face of urban planning and mobility management.

Analyze the behavior of tourists and increase their average spending

The main goal is to identify the behaviour of tourists who visit the destination and define what extra products or services can be offered to increase their average local spending.

Optimal replenishment for fresh produce

The objective is to improve processes related to fresh produces thanks to i) the creation of monthly estimates for fresh produce production in Turkey, and ii) the optimization of logistic operations by using the provided data for shipments of products.

Predictive maintenance and production optimisation in industry

The goal is to significantly improve the production of industrial plants, optimizing the process towards the Zero-Defect Manufacturing paradigm and maintenance actions towards predictive maintenance

Data driven technology for efficiency in energy intensive industries

The goal is to raise awareness of the energy consumption during operations at business and production management level, to reach energy efficiency in the energy intensive industry.

Keyword price prediction for digital marketing campaigns profitability

The goal is to predict the optimized price when launching marketing campaigns, reducing the optimization time and generate campaign impact and profits from day1.

Optimal pricing for fresh produce

The goal is to optimize the supply chain of fresh produce by having accurate prices, through the creation of accurate pricing models.