Workshops

Data science, one of the most significant developments in computing in the 21st century, is a discipline in the making, drawing principles, methods and tools from established fields like computer science, statistics, science, business, politics, and any domain with adequate data. Yet, data science is just starting. What are its underlying principles and techniques (models, methods) that are applicable across different use cases and fields of application? What «science» underlies this emerging discipline?

In just a few years, several advances in NLP methods have opened up a vast field of possibilities for data-driven value creation. The potential for innovative projects is enormous, e.g. in summarization, speech-to-text, sentiment analysis, anonymization, federated machine learning, exploration of huge document sets, and knowledge extraction.

In this workshop we will first introduce basic ideas and use cases of NLP methods. Then we will explore and discuss together your project ideas in smaller groups. As preparation you might think about where in your organization textual data is available, where language-based human-machine interaction could be a game changer, about its challenges and potential.

The purpose of the workshop is to provide the participants with an introduction to Smart Services using practically approved data-driven service design methodologies. The workshop will start by identifying and analyzing the problem area including modelling the ecosystem and ideate new value propositions using analytics. The approach assumes that service is the fundamental basis of exchange and that value is co-created by multiple actors, always including the beneficiary. The design and application of data can be used to improve the service design and to improve value for the beneficiary.

In this content, open data has its own unique place. There are many types of open data, but due to the geographic element geodata deserves special attention, both in terms of quantity and quality. In this workshop the importance of open geodata is discussed and success stories of projects based on open geodata are presented. Platforms and initiatives related to open geodata as well as funding opportunities will be presented and discussed.