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Tag: Public Event

GEOSummit – Session on New Methods in Spatial Data Analytics

With the increasing availability of spatial data, analysis methods are also evolving. It is therefore not surprising that, in addition to established approaches from the field of machine learning, Large Language Models, which are very present in the media, are also used when working with spatial data. But are these sometimes very complex methods only to be found in research or are there already concrete applications and operational services in Switzerland? Examples from research and practice are presented, which are convincing with new methods of spatial data analysis.

Find more information on the official website.

Spatial Data Analytics – AI-driven Probability Maps

In the field of environmental monitoring, artificial intelligence (AI) coupled with probability maps emerges as a powerful tool for comprehensively understanding and managing ecological systems. By harnessing machine learning algorithms, intricate patterns within environmental datasets can be discerned with unprecedented accuracy. Based on this understanding, probability maps can be calculated to offer valuable insights into the likelihood of various environmental events. These maps serve as crucial decision-making aids for policymakers, conservationists, and researchers alike, enabling proactive measures to mitigate ecological threats and promote sustainable practices.


  • 14:45 – 14:55 – Intro and introductions (Dr. László István Etesi – FHNW)
  • 14:55 – 15:30 – Probability Maps: Current research & applications in the field of environmental monitoring
  • 15:30 – 16:00 – Break
  • 16:00 – 16:30 – Indicate challenges around robust multi-sensor & multi-scale data integration and harmonization 
  • 16:30 – 17:00 – Discussion on ideas which can be further evaluated in the frame of the Innovation Booster

AI in Finance and Insurance – The Future of Financial Data Analytics

In the frame of the ExpertDay, an inter-active breakout session is organized by the ExpertGroup AI in Finance and Insurance, presented by M. Vendramet and A. Blum (Unit8) and B.H. Misheva (BFH).The challenges adressed include the mountains of data you are managing in finance and the  currently available machine learning techniques, which can give finance teams an edge in connecting all the data, finding trends and insights. Inspiring insights are presented by N. Königstein and G. Raille:

  • Presentation: Nicole Königstein, Chief Data Scientist, Head of AI & Quant Research, Wyden Capital AG: Financial Times Series Prediction in the Age of Transformers
  • Presentation: Guillaume Raille, Engagement Director & Data Scientist at Unit8 SA: LLMs beyond Chatbots: Unveiling the challenges of advanced LLM applications based on a real-world use cases

Join the discussion on topics that might be relevant for the DIA in the future and register here.

Co-Creation Workshop: Low-Code/No-Code Technology for Digital Health Innovation

Hosted at the REFSQ 2024 conference in Winterthur on Monday 8 th April 2024

This workshop is co-organized with the Innovation Booster Digital Health Nation

No single industry is left untouched by the digital transformation. The success of this transformation is determined by how well the stakeholders in the specific sectors adopt digital technologies and how productively they utilize them. In the field of digital health innovation, new technologies are increasingly being used, especially at the interfaces between healthcare organizations, pharmaceutical companies, and insurers. In this workshop we focus on low-code/no-code technology that reduces the traditional distance
between requirements engineering and software development.

The requirements for these technologies are complex and need to be elicited from heterogeneous sources to ensure full coverage of stakeholders’ needs. Accordingly, many challenges exist, such as:

  • How to design reliable systems in complex environments with many stakeholders?
  • How to enhance the communication and interpretation of requirements?
  • How to effectively reduce the technical knowledge gap of domain experts?
  • How to actively engage healthcare experts in the software prototyping process?
  • How to automatically integrate business logic and domain data specified in Excel sheets or other business artifacts?
  • How to ensure early in the development process that the solution is going to meet the requirements?
  • How to integrate healthcare-related regulations and standards in software solutions?
  • How to ensure that digital solutions are sustainable in terms of technical, social, individual, economic, and environmental aspects?
  • How to enhance the human understanding and evolvability of digital solutions?
  • Etc.

This one-day interactive workshop will engage the participants in the analysis of contemporary challenges with the objective of collaboratively identifying the research and industry actions to achieve sustainable digital health innovation. The envisioned participants include applied researchers and engineers from the MedTech-domain, combined with some interested international experts that attend the main REFSQ 2024 conference. Various aspects on the way from idea to practical implementation and application will be
highlighted and discussed in short break-out sessions. The goal is to prepare outlines for Innosuisse project proposals that need to be worked out in small teams after the workshop.

The workshop is hosted and organized by the ZHAW’s Software Engineering research group and the Innovation Booster Artificial Intelligence.

Register here:

Preliminary program

09:00 – 09:30 Welcome and workshop goals
Icebreakers: getting to know each other
09:30 – 10:30Collect core engineering challenges for digital health innovation perceived across the domain (breakout brainstorm, present/discuss, rate)
10:30 – 11:00Coffee break
11:00 – 12:30Presentation on the Low-code/no-code expertise of ZHAW’s Software Engineering research group (including a live project demo)
Collect feedback: What resonates well? What are valuable additions?
– Define multiple topics to work on in the afternoon, each combining: Digital health innovation challenge
– Software engineering technology
– The role of software developers and domain users: Software development for all
12:30 – 14:00Lunch break
14:00 – 15:30World café: fostering collaboration to address challenges for sustainable and innovative digital health
15:30 – 16:00Coffee break
16:00 – 17:00Presentation of the results and collect additional ideas
Investigate who is interested in participating in and writing project proposals on these topics
17:00 – 17:30Collect feedback on the workshop
Wrap up and next steps