June 4, 2019 - We presented a summary of the Hackathon and results, with then a spotlight on the Smart Cities Project, at the Wirtschaftsagentur Wien: more details and slides
May 28, 2019 - The GrünStattGrau team presented at the NLP Meetup https://www.meetup.com/nlp-vienna/events/261452867/
May 23, 2019 - HW Int's Helmut Gaffl presented their project at the Technologieplauscherl in Linz more details and slides
Where: A1 Telekom Austria Group office building, Lassallestraße 9
In an intense, 2-day hackathon interdisciplinary teams of data
scientists, developers and designers will work together with domain
experts from NGOs and social enterprises to create new insight about
their work, solve complex challenges and identify new social impact
opportunities. This may be in form of statistical analyses and machine
learning models, data visualizations or by linking existing data with
new data sets – the teams have no boundaries on their creativity!
The hackathon is a broader framework of democratizing Artificial Intelligence [AI]. With the data4good Hackathon we aim to:
09:00 Breakfast and open Help Desk
10:30 Project introduction by the Data Science Leads + 15min Q&A
11:30 Hacking !!!
13:00 Lunch break
14:00 Hacking !!!
17:30 Review: Status report
10:00 Hacking !!!
13:00 Lunch break
14:00 Hacking !!!
15:30 Preparing Demo & Slides
17:00 Final presentations
The non-profit portal GruenStattGrau is a knowledge-management
platform focused on urban greening. With the consideration for climate
change, water management and air pollution the competency center aims
to promote the development of green rooftops, facades and urban
The data4good Hackathon project will focus on a textual analysis of the relevant literature (magazines, websites, blogs, …), to understand the geographical distribution of urban greening projects, as well as the development of topics over time.
Hilfswerk International is an Austrian non-profit that has been
implementing emergency relief projects and sustainable development
projects in different countries around the world since 1978. One long
term project is the construction of mother houses and the equipment of
health posts in Mozambique to effectively reduce maternal and child
The recent disaster related to cyclone Idai has hit Mozambique hard, and has also severely impacted the operations of Hilfswerk International. We have therefore decided to adapt the data4good hackathon project on short notice. Our aim now is to utilize the satellite imagery released by the Copernicus Emergency Mapping Service, and identify ways to use and enrich this data in support of on the ground efforts. Due to the nature of the catastrophe, this will be an open-ended challenge without a predefined outcome.
Hilfswerk Österreich is one of Austria’s leading charities. Their
mission is to provide support in overcoming health, family, or social
challenges. They provide services all over Austria, ranging from care
for the elderly, child care, to social living and supermarkets.
Within the framework of their 24-hour care services for persons with physical disabilities, Hilfswerk Österreich provide a matching service between patients and live-in care providers. These matchings require intense care and administrative effort; accordingly, early cancellations caused by unsuitable combinations are undesirable. The data4good Hackathon project will examine historical cases, in order to reveal conflicts in ongoing relationships.
CivesSolutions is a social enterprise that aims to improve democracy
and governance by enabling active citizen participation. They provide
consulting, research, and educational services for effective Smart
City implementations around the globe.
Bottom-up initiatives for innovation in smart cities need a platform that connects citizens with authorities. In conjunction with CivesSolutions, at the data4good Hackathon we will build a prototype that addresses one aspect of the development process of a digital citizen’s complaint system. This prototype can then be used for further developments of the actual platform in a build-measure-learn cycle.