Using Data

Map and analyze urban green spaces to promote sustainable city development.

Build an automated sentiment analysis tool to help NGOs understand their social media impact.

Help us create an interactive dashboard to visualize climate change data for public awareness.

Phase BE accompanies young people on their journey from school to career. But communication between camp, care teams, and office remained scattered: critical progress and challenges were lost between separate files. With a traffic light system in Excel, we consolidated all information in one place. Now Phase BE identifies support needs at a glance and acts in time.

Support ECFI with a database solution that helps them to facilitate data collection, data storage and data analysis of European community foundations.

Supporting coach@school with automated reporting from evaluation data such as teacher surveys to reduce the administrative burden.

Take the Silbernetz dashboard to the next level of stability and performance!

We have developed a data story that uses open climate and weather data to clearly show the citizens of Konstanz how climate change is affecting their city.

Evaluating and visualizing a survey on the use of AI in volunteer work.

Backend and frontend development, content creation, UX testing, and legal review with implementation of the corresponding changes for the website relaunch of Leerstandsmelder.de

We supported the implementation of a data project through the Civic Data Lab, helping address a data challenge for a participating organization.

Addressing data challenges faced by participating organizations, gathering insights to help them better serve their communities.

Developing a data-based solution for the "Demokratie Wegweiser" project: addressing structural problems in providing reliable data for citizens.

A flexible dashboard: understanding mentoring feedback easily and evaluating it in a targeted manner.

Using large language models, CorrelAid e.V. analysed the survey data collected by the Babylotse Frankfurt initiative on the needs of families with babies. The identified needs and concerns could thus be effectively communicated to political decision-makers.

Supporting Chancenwerk with automated survey analysis to reduce administrative workload.

We developed scripts to automate data processing for Science on Stage e.V., saving them time and effort, and enabling them to become more data-oriented in their work.

We developed a tool to support the evaluation of participant surveys for a sports educational prevention program, using machine learning algorithms to suggest coding for answers and freeing up time for more complex cases.

We analyzed Open Street Maps data on drinking fountains in Germany, comparing our findings with official numbers and improving metadata quality.

We helped the City of Paris create a map to better plan bike parking spots, using open data to inform data-driven decisions.

We developed an interactive web app to help sports organizations assess their child protection measures and receive personalized recommendations for improvement. This new tool streamlines the process, saving time and increasing accessibility.

The CorrelAid team developed a R package to make open administrative data more accessible.

The CorrelAid team developed a Python package to make open administrative data more accessible.

We analyzed data from 37,000 clients and found that single mothers face a higher risk of long-term unemployment, especially those with lower education.

We developed an interactive tool that saves time and effort for Silbernetz, enabling them to focus on more important activities and effectively communicate their impact to stakeholders, ultimately leading to increased funding and support.

We helped automate data workflows for researchers and humanitarian organizations using the CorrelAid R package for KoboToolbox.

We analyzed survey data to gain insights into Ghana's developer community, discovering areas for improvement and opportunities for growth. Our report provides a platform for the Hacklab Foundation to share findings and collaborate with partners.

We developed an R package to help researchers analyze and visualize data from the Afrozensus survey, making it easier for them to explore and understand the experiences of people of African descent in Germany.

We helped Mare Liberum transform their data into powerful visualizations that raise awareness about pushbacks in the Mediterranean sea, ensuring a sustainable impact through their existing knowledge of R programming.

We helped analyze data from the Citizen Science Platform iNaturalist, uncovering interesting trends in user behavior and interactions.

We analyzed survey data from five European Youth Parliament events to understand the impact of their activities on participants' attitudes and skills, and provided recommendations for future surveys to improve reliability.

We helped the erlassjahr team save time and effort by automating data generation and creating an interactive world map to visualize debt situations worldwide, making it easier for users to explore and understand the data.

We helped Denk-mal-Kultur e.V. gauge interest in their academy for self-determined aging and practical research center, gathering insights to inform future activities and secure funding.

We developed an election decision-making tool for the 2019 local elections in Stuttgart, helping users rate candidates based on their attitudes towards various statements and receive a ranking.

We developed a searchable database to support informed decision-making and professional development in sustainability, providing a user-friendly platform for exploring and evaluating qualifications.

We helped BeeObserver take bee observation to new heights by making sensor data usable and creating an alert system for beekeepers.

We helped the Weltladen Umbrella Association automate the creation of individualized reports for their World Shops, making the process more efficient and reducing errors.

We created an interactive tool to help Minor EU better engage with migrants on social media, saving time and improving reporting for funders.

We conducted a member survey to help TV Käfertal understand member satisfaction and communication effectiveness. The survey results informed data-driven decisions that adjusted the association's strategies and structures for a sustainable future.

We helped the Pfadfinders understand their members better by analyzing data and comparing it with other youth studies, enabling them to tailor activities to the needs and interests of their young members.

We analyzed data from the Mannheimer Platte restaurant to understand sales and demand patterns, providing insights that informed decision-making and improved procurement planning.