To sign up for this cluster, use Bison code L.27343.
Important note: students G&T (Health and Applied Technology) use L.27344.
This clusters consists of the following projects:

Transparant donations to disrupt the charity industry by blockchain

We’re a startup called ‘Donate with Trust’. We have a mission and that is that donors can donate with trust. The problem is that donors don’t know where their money is going, how it’s being spent and what the level of impact they are making through their donations. We think that by creating transparency through blockchain with the donations and by showing donors what impact they are making, we can gain real trust and motivate people to start donating again. We want to create something new; a digital platform where activities of the donations are transparent and where the impact you’re making is visible. What are you going to do? The goal is to have a running pilot for the organization before the end of the Smart Solution Semester. At the end of the Smart Solution Semester, we want to have at least a prototype form and conduct market research. Identifying wishes, needs and problems of donors and charities in the Netherlands, making contacts with charities so that we can run a pilot with them, identifying the supply and demand from the Dutch market for a platform in which donations are made more transparent, a prototype in the form of a whitepaper/concept based on how the prototype is going to be. What is ‘nice to have’, is a prototype that will consist of a working application in which donations are transparent by an open banking system (to make the donations transparent), an integrated wallet (so that donors can donate through the application), a user interface. We have a network you can use. We are in contact with the Saxion research group (lectoraat) Blockchain and the director of Coinversable and Saxion Centre of Entrepreneurship (Centrum voor Ondernemerschap). Are you gonna help us change the world of donations while still helping people?

Ethical data sharing in dementia: creative solutions for open communication

You have the skills to help us bring a real, innovative digitial tool to people with dementia. If you have the enthusiasm to use your semester to improve the lives of people with dementia, this is the project for you! Many people with dementia suffer loneliness and loss of independence. The COVID-19 pandemic has made this problem even worse. Everyday technologies like iPads can help, allowing people to video call with friends and family, play games and maintain hobbies and interests. For people with dementia, it can be challenging to learn new things, especially to use technology that they’ve never used before. FindMyApps is an app and training system, designed to help people with dementia and their caregivers find apps that meet their needs and preferences. Through a personal profile, people are connected with user-friendly apps. Researchers are now investigating how effective FindMyApps is at improving the quality of life of people with dementia. For FindMyApps to function effectively, different kinds of data are collected from the people using the app. In the current research, information about what data is collected, how, why and by whom, is given as part of a thorough informed consent process. To implement FindMyApps on a large scale, this approach will be too resource-intensive. Many technology owners – like Apple, Google and Facebook – face similar challenges. Their solution is to ask for our data via a lengthy user-agreement that most users sign up to without actually reading. For those companies, it’s very efficient. But for users, it doesn’t often result in well-informed choices. That method of communicating information is even less appropriate for people with dementia. It may meet the minimum legal requirements, but we want to do better. We want to communicate effectively with people about data-sharing. To achieve that, as part of this project you will identify the most important information to communicate to people with dementia about data-sharing in the context of FindMyApps, apply effective communication strategies for people with dementia to design the best media to communicate this, test this pilot communication solution with the target group. Data-sharing is one of the hottest topics right now and will be an essential aspect of healthcare and wider society in the future. Join us now and help us learn how to inform people with dementia to give them meaningful choices and get the most value out of available technologies.

Predicting Archaeology

Archaeological research is an important part of the preparation for infrastructural and building projects. Antea Group is an important company in the field of engineering and advice services, which also involves the execution of all phases of archaeological research. Whereas engineers are usually quite innovative, archaeologists usually are not. This assignment is meant to change that. Data collecting is one of the first steps for archaeologists to predict what is in the soil. During excavations and other fieldwork, this prediction often turns out to differ from the actual situation. Not only is this costly in terms of time and money, but it also poses the risk of missing out on archaeological features. How can we use existing and/or new techniques to improve our prediction of what is in the soil? This project is meant to be the first step in Antea Group’s ambition to develop a system that will eventually make archaeological digging redundant. A great deal of archaeological information is available online, but it is not always easy to find and compare. Furthermore, non-archaeological information such as soil maps, disturbance maps or groundwater levels can contribute to gaining insight in the archaeological record. By combining different sources we can acquire more knowledge about the archaeology present in the soil. Therefore, this assignment involves the development of a concept for an application that assembles these data and enables easy consulting. To do this, you can use artificial intelligence, predictive modelling and/or big data. A preliminary study in which you study and judge the potentially relevant sources, is part of the assignment. The final goal here is the further development of the concept application to a working system that can easily be consulted by archaeologists, engineers and governments, but this is not part of this assignment. For the design you can use existing systems for various purposes as an example, for instance Archis (for archaeological data) BDOK (for soil data) and the DINOloket (for drill information). There are many types of information that can be used as input. Don’t be afraid to look across the borders of archaeology!

Digital Buildings & predictive outcome of various costs

Develop and design new buildings as well as redefine existing old buildings is a big challenge nowadays. Especially to meet all the demands is difficult. With little information in the beginning of the project, you need to make big decisions about costs for building, energy-use, maintenance and general use. But there is lack of information to make good choices. With the help of 3D Digital Models, you can get more useful and necessary information. The problem is, however, that you need to put too much information into a 3D Model before you can make good assumptions in the design phase. The government now demands that “Woningbouwverenigingen” upgrade their house stock, upgrading housing performances in the coming 10 to 30 years. The lack of good information also forms a problem here,  as financing big investments can’t be done easily and properly. For these issues we are going to develop an information tool based on 3D virtual models that are connected to good data. We use a 3D Models cloud environment what we will connect to detailed information so we can compare different designs based on good facts. This new APP must show the building-, energy-, and maintenance costs, so we can pick the right design for client, “Woningbouwverenigingen”, bank, architect and user. 3D Modelling, BIG specific Data, information management, programming APP on an international platform for better success of clients is the big picture.

Insight into data-driven offline marketing campaigns by Cups 4 Clubs

Do you want to help a disruptive and sustainable startup in the Out Of Home Media industry? Then read on!
Cups 4 Clubs offers free sustainable advertised coffee cups at sports clubs to reduce plastic, increase sustainability and enable businesses to advertise across a wide offline reach. The company was founded more than a year and a half ago with an idea to make advertising more fun, sustainable and effective than traditional channels. Now we are active throughout the Netherlands and together with 6 teammates, we are working hard linking as many clubs and advertisers as possible to our concept. When positioning Cups 4 Clubs as an advertising model, many advertisers asked to understand where the cups can be placed and which variables and key features of the various clubs play a role in the successful launch of a campaign. By making an inventory of the variables and characteristics on which advertisers want to select clubs, the characteristics of these clubs need to be better identified for a targeting tool. The main question is how we provide advertisers with insight into marketing campaigns (based on data) and how advertisers can be better matched to clubs that match the goal of their campaign. The goal is to give advertisers who want to advertise on cups via Cups 4 Clubs an insight into the different characteristics of the clubs. This is based on data that is (partly) known to us. The question is how we display this data. In addition to a match system, which links advertisers to sports clubs based on different variables (data and customer wishes), the result is an interactive dashboard that gives advertisers insight. These tools can be provided with graphs and charts. It’s up to you to decide what this should look like!
Summarized: we are happy to offer advertisers an advertising dashboard and matching system that provides insight into the target group (clubs) and the results of a campaign. We have already done a lot of research and collected data, which can help with the outcome of these tools. However, questions remain, for example: “How can we make a perfect match between club and advertiser based on different data options?” and “How can we present an instrument that shows results of the campaign?” and “How can artificial intelligence help to perfectly match advertisers and clubs?”
On behalf of the team, we look forward to working together!

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Questions about this cluster?

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