Tag: Databooster

No Time To Die

By Nicolas Lenz, Litix GmbH

The organization of the 11th meeting of the Spatial Data Analytics Expert Group included some unexpected twists. After postponing the original meeting in September, we also had to switch to an online format at short notice on the new date. Although the excitement couldn’t quite compete with a real agent movie, we were at least pleased that we could finally welcome a large number of participants.

The real excitement came from the announced contents. Dr. Joachim Steinwendner from FFHS had offered to host the meeting and had prepared a program with the topic GIS and Health. The two announced talks were titled after Bond movies.They addressed the interface between GIS and Health, once from the pharmacological point of view of and once from the perspective of geoinformatics.

PD Dr. Stefan Weiler focused on the first view. In his talk “On Her Majesty’s Secret Service” he presented the role of geodata in medicine with numerous illustrations (e.g. the Corona dashboards). Joachim Steinwendner then changed the perspective in his talk “The World Is Not Enough”. He asked the audience to imagine a GIS in which the coordinate system did not map the world, but rather the human body.
The meeting ended in an informal exchange under wonder.me. Plans were made for future collaborations or at least for the next visit to the cinema.

Webinar – Databooster Workshops on Usability Testing – H2020 DomOS Expert Review

Usability Test for evaluating a product or service by testing it with representative users

This workshop on user experience brings together researchers and service leaders to share knowledge and support projects with data science tools.

The goal of the workshop is to share knowledge on user experience principle, tools and applications. You will get an overview of the European consortium domOS project – A building local communication network provides access to sensors data and smart devices / appliances to applications either hosted in the gateway or in the cloud.

See the FLYER for more information.

For registration please use the form below.

Databooster – to support SMEs

The NTN Innovation Booster is an Innosuisse-founded initiative which brings together the most important players from science/research, society and industry. Its main mission is to develop innovation ideas carried out by interdisciplinary teams.

The NTN Innovation Booster is composed of 18 programs, out of them 6 will start in 2022. Each NTN Innovation Booster program targets a specific domain. One of these programs is NTN Databooster which supports innovation around data-based value creation. Databooster focuses on the design of data-based services for the industrial and service sectors. Its goal is to combine new methods and technologies in the field of data science with new business models and service concepts.

Nowadays, companies collect vast amounts of data to extract information/knowledge. This information is usefull to optimise their process, develop new services and/or products.

The main mission of the NTN Databooster is to support SMEs to:

  • identify their business/technology challenges in a competitive innovation environment,
  • shape their innovation idea and get the opportunity to build their first prototype,
  • have access to funding instruments for their research and development programmes.

> Register now

According to the current COVID guidelines, wearing masks is mandatory. Only holders of a valid COVID certificate (vaccinated, cured or tested negative) will be allowed to participate in the event.
We ask you to provide your COVID certificate and your identity card on site.

The Art of Data Fusion

By Nicolas Lenz (Litix), Stefan Keller (OST) and Reik Leiterer (ExoLabs)

Geodata are used in various industries and academic fields and often have to meet specific requirements in order to be used, for example in terms of geometry, recording time point or semantics. But often different geodata sets have similar geometric properties but different semantics or are captured at different times – or vice versa. Accordingly, the added value arises when your data sources start to «talk to each other», connection points between the data are used or possible gaps can be filled. In this context, there is a multitude of technical terms, which are sometimes used differently depending on the subject area, sometimes are used synonymously and sometimes are used inappropriately in their terminology – so you will read about «append», «merge», «relate», «link», «connect», «join», «combine», or «fuse», just to mention a few.

In the last meeting of the Spatial Data Expert Group on the 4th of November, this topic was presented and discussed, and the challenges and potential of the concept were highlighted. This included a critical examination of the semantic classification as well as the presentation of various possible applications in research and industry. Our host was the UZH Space Hub at the University of Zurich, represented by Dr. Claudia Röösli.

Representation of individual tree characteristics based on multi-temporal airborne 3D-LiDAR data, in situ measurements, and multi-spectral satellite data. Fuses data – or not?

So, what is Data Fusion – with a strong focus on spatial data? For some, it means more a list of different data sets, with a narrative relating one data set to the next. For others, it means visualizing different data sources on the same graph to spot trends, dynamics, or relations. In the spatial domain, the basic concept of data fusion is often the extraction of the best-fit geometry data as well as the most suitable semantic data and acquisition times from existing datasets.

The keynote was given by Dr. André Bruggmann, Co-CEO, Data Scientist and Geospatial Solutions Expert at Crosswind GmbH. Under the motto “Unlock the Where.”, he presented how data fusion techniques help customers gain new insights, from (spatial) visualizations and web applications to facilitate strategic business decisions (e.g., selection of optimal point of sale locations). In addition, he presented a project where data fusion techniques are applied to make detailed and future-oriented statements about the assertiveness of e-mobility and identify relevant trends for the automotive industry.

Dr. André Bruggmann from Crosswind – “Unlock the Where”

These inputs led to an exciting discussion between the experts present – not only on the technical implementations presented, but also regarding the potential for optimisation and possible future cooperation. This is exactly how the initiators of the event had envisioned it – an open and inspiring exchange in line with the basic idea of open innovation.

Are you also interested in spatial data and its applications? Then come to the next expert group meeting on 15th of December on the topic of GIS and Health, hosted by Dr. Joachim Steinwendner from FFHS.

Smart Service Innovation for Adapting to the Pandemic Situation – Successful Smart Services Summit 2021

By Jürg Meierhofer

On October 22, the expert group Smart Services welcomed worldwide top experts to the fourth Smart Services Summit. The focus was on how Smart Services allow firms to adapt in the COVID-19 pandemic. Examples of remote and collaborative working have created new forms of co-delivery where customers are integrated into the service processes. Such a change requires a mindset change for more traditional firms as the service model migrates from ‘do it for you’ to ‘do it yourself’ or some mix of ‘do it together’. Considering service science, the switch makes perfect sense as it means that the full set of resources within the ecosystem are now being used rather than only a part. Services can be delivered faster and at lower costs with the support of new technologies and when working with the customer in a co-delivery mode. The changes are leading to new value propositions and business models today and will lead to an evolution in Smart Services in the future. The changes themselves must be understood, and we may need to consider new or different implementation and delivery models for Smart Services. These new working approaches may also requite use to re-evaluate both training and education.

Across the papers and presentations, it became apparent that digital service innovation has substantially changed and accelerated since the start of the pandemic. Customer needs and service processes have undergone dramatic disruption, which is still ongoing. A common thread throughout all the papers was the concept of the ecosystem thinking, which was discussed from a wide field of perspectives and in a comprehensive way. In line with the concept of the Service-Dominant Logic, the needs of the different actors in the ecosystem need to be identified and integrated into the design of the services and the integration of the various resources in the ecosystem. The ecosystem perspective not only integrates the different human actors, but also technological, digital resources.

Innovation through intensive collaboration allows switching different perspectives and innovation approaches. This results in seamless value propositions and solutions for the beneficiary actors, which is a necessary prerequisite for economic value creation. Well-designed service experiences based on a consequentially customer-centric view and approach are thus at the basis of value creation.

This transition to digital service innovation in ecosystems requires not only fundamental changes of the technological platforms. In particular, collaboration across actors, organizations, and industry requires a new level of trust, culture, skills, marketing approaches and innovation frameworks.

Many thanks to all those who spoke at, and attended, the Smart Service Summit. A big thanks to IBM, data innovation alliance, ZHAW Zurich University of Applied Sciences and Lucerne University of Applied Sciences and Arts for supporting the event.

data innovation alliance at the AI+X Summit

The ETH AI Center celebrated its first birthday on October 15, 2021, at the AI+X Summit and the data innovation alliance was there to congratulate and to join the inspiring crowd. The day started with workshops.

David Sturzenegger and Stefan Deml from Decentriq organized one of the workshops on “Privacy-preserving analytics and ML” in the name of the alliance.

It was our first in-person workshop again, and such a great experience for us. We gave an overview of various privacy-enhancing technologies (PETs) to a very engaged and diverse audience of about 30 people. We had in-depth discussions about the use-cases that PETs could unlock, and also presented about Decentriq’s data clean rooms and our use of confidential computing. Our product certainly generated a lot of follow up interest, especially from those who wanted to reach out to demo the platform. We were also joined by a guest speaker from Hewlett Packard who spoke about “Swarm Learning”.

David Sturzenegger, Stefan Deml

Melanie Geiger from the data innovation alliance office attended the workshop about AI + Industry & Manufacturing led by Olga Fink from ETH. The overall goal of the workshop was to identify the next research topics. Small groups with representatives from manufacturing companies mixed with researchers discussed the challenges and opportunities of predictive maintenance, quality control, optimization, and computer vision. We identified research topics such as more generalizable predictive maintenance methods that work for multiple machines or even multiple manufacturing companies. But we also realized that some challenges are more on the operational side or applied research like in the integration of the method into the whole manufacturing process and closing the feedback loop.

In the evening the exhibition and the program on the main stage attracted 1000 participants. We had many interesting discussions at our booth with a wonderful mix of students, entrepreneurs, researchers, and people from the industry. Of course, we also saw many familiar faces and due to the 3G policy, we got back some “normality”.

Expert Group Meeting – Spatial Data

Geodata are used in various industries and academic fields and often have to meet specific requirements in order to be used, for example in terms of geometry, recording time point or semantics. But often different geodata sets have similar geometric properties but different semantics or are captured at different times – or vice versa. The basic concept of data fusion is the extraction of the best-fit geometry data as well as the most suitable semantic data and acquisition times from existing datasets. The extracted data features are then fused into a new data set, ideally adding synergistic value. In this expert group meeting, different examples of data fusion will be presented, and possible further application options will be discussed.

The host of this meeting is the UZH Space Hub and the Swiss National Point of Contact for Satellite Images (NPOC), represented by Dr. Claudia Röösli. The meeting will be held at the Irchel campus of the University of Zurich.

Please use the form below to register for the event.

Webinar: Geodatenschätze und die vielfältige Nutzung

⇒ Zu obigen und weiteren Webinaren werden auf www.geosummit.ch schrittweise zusätzliche Angaben zu Inhalten und Referent*Innen aufgeschaltet. Es werden auch noch weitere Webinare dazukommen.

Eine Registrierung ist erforderlich, damit der Zutritt ins Webinar gewährt wird.

Dank der Unterstützung von Innosuisse und den Gold-, Silber- und Bronzepartnern sowie Kongresspartner können die Webinare im 2021 kostenlos angeboten werden. Möchten Sie die Leistungen des Vereins GEOSummit anerkennen, so können Sie einen Ihnen beliebigen Betrag überweisen. Die Bankangaben finden Sie auf der Buchungsbestätigung. Die freiwilligen Beiträge werden für die Organisation des nächsten GEOSummit – hoffentlich wieder «analog» durchgeführt – eingesetzt.

Unterstützer: Innosuisse – Schweizer Agentur für Innovationsförderung

Die Goldpartner sind: Hexagon Schweiz AG, ESRI SCHWEIZ AG, GEOCOM by VERTIGIS, EXOLABS
Die Silberpartner sind: DeltaOffice, Schutz vor Naturgefahren, BENNETBILL, CENTRE PATRONAL, INSER, viadiversa
Die Bronzepartner sind: iNovitas und digitalswitzerland
Die Kongresspartner sind: SOGI, GEOSUISSE, IGS, KGK, GKG, FGS, SGK, SGPF und FHNW.

Einen herzlichen Dank an alle Partner.
Partner GEOSummit

Registrieren Sie sich für die Webinare! Ohne Registrierung gibt es keinen Zutritt zu den Webinaren. Das Organisationskomitee freut sich, Sie im digitalen Raum begrüssen zu dürfen.

Freundliche Grüsse und beste Gesundheit wünscht
Verein GEOSummit

Pol Budmiger, Präsident
Thomas Meyer, Geschäftsführer.

Spatial Data Analytics at the
#wetechtogether conference, 02.10.2021

By Nicolas Lenz, Litix Applied Data Science

Spatial Data was a workshop topic at the #wetechtogether conference which took place on October 2. The data innovation alliance, its member Litix and WiMLDS Zurich sponsored and organized two workshops entitled “Jump into Geodata”. The participants learned how to access Swiss geoservices with Python and how to use them for the presentation and analysis of geodata. We would like to thank the participants for their attendance and the lively discussions in the workshops. We hope that this will lead to new innovative geospatial projects in the future!

Innovative ideas around geodata are indeed welcome, since Spatial Data Analytics is one of four focus topics in the Databooster initiative. Project ideas related to geospatial data have increased chances of receiving Databooster support!

Being part of the #wetechtogether conference was a great experience for data innovation alliance and Litix. We support the main goal of the conference to empower people to bring more diversity into tech. We are already looking forward to the 2022 edition!

CANCELLED – Databooster Matchmaking Event

The NTN Innovation Booster – Databooster powered by Innosuisse is a community with an open innovation culture, in which key players around data-based value creation work together to develop innovation ideas and explore new business areas and approaches. The Databooster aims to bring together actors of all segments to ideate and develop radical solutions.

In doing so, they give Swiss companies a decisive competitive advantage and create important added value for the Swiss economy and society.

We would very much like to draw your attention to the following event and invite you to participate in the idea submission. 

This event is an opportunity for every one of you: who has a cool project idea and is in need of a partner and/or even a feedback on the idea and also persons who don’t actually share an idea there but are interested in listening to them. This is meant for researchers, startups, SMEs as well as corporations. There are ideas shared and there might be just one that strikes you as the thing to do! 

We invite submissions of ideas related to all aspects of data-based value creation. We especially want to solicit ideas in these focus topics, namely: Industry 4.0, Language-based Human-Machine Interaction, Smart Services and Spatial Data Analytics.

Out of all well-defined presented ideas a jury will award the best 3 innovation teams for funding by 10-20 kCHF to further shape or test your idea.

The Databooster Matchmaking event will take place on the December 2, 2021, 13:00 – 17:00, at Fernfachhochschule Schweiz in Zurich (Gleisarena at Zollstrasse 17)

How to participate?

1. Join us if you want to pitch your idea. You get 5 minutes time to present/pitch your case. After all pitches are done, you get 10 minutes slot for 1-on-1 discussions with persons from the audience who are interested in your idea. You could be talking for 10 mins or for the next hour! And if you are interested in any other pitch, you can also go and speak with them!

2. Join us if you want to hear about all these cool pitches, these ideas. Learn what is going on in the minds of these young companies, researchers and professionals. There is definitely an idea that would appeal to you.


Those wanting to pitch: send your name and innovation idea (200 words, related category) ASAP. We will not accept entries after Nov 16, 2021.

Those not wanting to pitch, but still participate: register latest by Nov 16, 2021.

Number of participants is limited to a maximum of 40 participants.

Save the date and register to present and follow all idea presentations, matchmake with interested parties for project development, research, and learn about specific funding schemes.

At the venue please follow the FOPH regulations.

If you still have questions, just write to us at databooster@data-innovation.org

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