OpenStreetMap (OSM) is a valuable crowdsourced alternative to commercial and governmental geospatial data providers, with proven applications e.g. in the environment, tourism and emergency services. However, the lack of quality assessment tools hinders its wider adoption. This workshop aims to address the need for reliable and standardized data quality evaluation in OSM, with a focus on AI-based methods.
Current research prototypes such as ‚OSM Data Completeness‘ and ‚ohsome quality analyst‘ offer intrinsic solutions for data quality evaluation in specific regions based on user requirements. But there’s potential for improvement in usability and integration of extrinsic approaches.
The workshop will explore how these tools can be developed for production use and identify areas for further research. By discussing data quality evaluation solutions, the workshop aims to enable the establishment of an applied research and development agenda to better evaluate the suitability of OSM data.
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.
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.
Schedule:
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
We invite you to the second iteration of the Expert Day. Join us in an exchange of expertise and find inspiration. These following groups will participate:
Natural Language Processing & Big Data Technologies
Smart Maintenance
Smart Services
Spatial Data Analytics
Detailed Program:
15:00 – Welcome 15:30 – Keynote by Prof. Pierre Dersin 16:10 – Expert Group Meetings in breakout rooms (see below) 17:40 – Apéro
Data-driven Value Added for Words, Images and Things
Digital transformation is a defining feature of our epoch.
Abundance of data, immense increase in hardware processing capabilities and breakthroughs in analytics algorithms have made practical some of the visions put forward about three quarters of a century ago. The branch of Artificial Intelligence called Machine Learning, and in particular Deep Learning, permeates image processing, natural language processing ( “ words”) and smart maintenance (‚things‘), and furthermore enables rich synergies between those three fields, which span a great deal of human activity, with profound potential impacts—some already visible, on industry, science, the arts and social life.
Natural Language Processing & Big Data Technologies
Everyone is talking about ChatGPT these days and some of its output is truly impressive! We will discuss how the most recent wave of text generation algorithms can transform business, science and teaching. The meeting will feature the following expert talks:
Grounded Copywriting with ChatGPT & Co by Michael Wechner (Wyona AG) + Colin Carter (Coop Rechtsschutz) Everyone talks about the pros and cons of ChatGPT, its competitors and how to combine the generated text with grounded knowledge. We will demonstrate how ChatGPT & Co can be applied in insurance and discuss the future of retrieval augmented language models.
Can we Identify Machine-Generated Text? An Overview of Current Approaches by Anastassia Shaitarova (UZH Institute for Computational Linguistics)
The detection of machine-generated text has become increasingly important due to the prevalence of automated content generation and its potential for misuse. In this talk, we will discuss the motivation for automatic detection of generated text. We will present the currently available methods, including feature-based classification as a „first line-of-defense.“ We will provide an overview of the detection tools that have been made available so far and discuss their limitations. Finally, we will reflect on some open problems associated with the automatic discrimination of generated texts.
Using AI to Query the Football World Cup Database in Natural Language by Kurt Stockinger (ZHAW Institute for Applied Information Technology)
Football is one of the most popular sports on earth with millions of people watching the FIFA world cup. In this talk, we describe how we built a system to query the world cup database in natural language. We explain how we translate natural language into the database query language SQL using modern transformer architecture. We also demonstrate how we have used large language models such as Open AI’s GPT-3 and Google’s T5 to explain how the system interprets users’ questions.
We are looking forward to exchanging opinions, experiences and questions, and to exploring this exciting field together!
Smart Maintenance
The value of condition monitoring data: 5 use cases.
In this meeting of the Smart Maintenance Expert Group we will hear about successful student projects conducted together with industry partners from various fields. The focus points of the projects are very diverse, ranging from prediction of energy losses, through anomaly detection, fault diagnostics, prediction of the remaining useful life and optimal maintenance scheduling. We will have 5 short pitch presentations, followed by an interactive discussion of future interest topics of our expert group, including active feedback of all participants.
Anomaly Detection in Marine Engines with Convolutional Neural Networks (Company: WinGD)
Aircraft Scheduling Optimization based on Prognostics Degradation Models (Company: Swiss International Airlines)
Modeling Wake Energy Losses in Wind Farms using Graph Neural Networks (Company: Fluence Energy)
Using Error Code Patterns to Predict Service Requests on Production Machines with Machine Learning (Company: Zünd Systemtechnik).
Fault Detection in Solar Power Plants using Physics Informed Deep Learning (Company: Fluence Energy)
Smart services for sustainability – circular servitization
With data-driven services, industrial companies can create quantifiable value for their customers, partners and themselves. At the same time, these services also have the potential for ecological benefits, e.g., through optimized processes in operations or logistics. To make this possible, economic and ecological goals must be captured in a targeted and combined manner when designing the services.
The 1.5-hour workshop will discuss how specific problems from everyday business can be systematically addressed to create relevant added value for business and ecology. Participants will bring their own business issue and leave the workshop with a first approach on how to create economic and environmental value through smart services. The workshop will run through typical phases of a project in a compressed time format to give an impression of what such a project might look like on a larger scale.
Spatial Data Analytics
High-quality spatial data is increasingly available for free use. However, with the large amount of data and the sometimes very specific data types and formats, it is challenging to find the appropriate data sources. In addition, some of the data access platforms are only partially intuitive and can be used without expert knowledge. Accordingly, the question arises whether the full potential of the available data base could not be better exploited if data access and data sharing were simplified. In this co-creation workshop, concepts and approaches will be reflected and discussed with representatives from research and industry as well as from cantonal and federal agencies, with the aim of developing possible approaches for joint implementation.
Geospatial insights for all – from unique applications to future trends
The Power of Where – this frequently used statement underscores the importance of spatial data and spatial data analytics. All people interested in spatial data are invited to actively participate and/or get an entertaining insight into the world of geospatial data. Take the opportunity to make new contacts and exchange ideas with experts from industry and research.
In this open event, we will take a tour of your favourite datasets, look at the most unusual and fun applications, and discuss together trends in geospatial data and future challenges. Of course, current infrastructure topics such as low code platforms (GEE & friends), new machine learning concepts and applications (image segmentation, tiny ML & Co) and data creation/access developments (Open Data & GDPR) will not be missed. Intellectual nourishment is guaranteed.
This Expert Group meeting is part of the Expert Day. Please register here.
We are pleased to invite you to the next meeting of the Expert Group Spatial Data Analytics. This expert group talk will be around the topic of geospatial synthetic data. The host will present 3 guest speakers who are involved in synthetic data and its specific use cases.
If you cannot be present in person, the meeting will also be live-streamed. You won’t be able participate in the meeting directly, but you are welcome to send us your questions which we will then take up into our discussion.
Aldo Lamberti from Syntheticus.ai will talk about “How to securely collaborate and compute on synthetic geo data”
Jakob Dambon from SwissRe will talk about “Gaussian Processes and Spatial Statistics: A Gentle Introduction”.
Josef Boesze from Itopia AG will talk about “Developing and Testing without any Risks or Side Effects using iSynth”
Program (tentative):
16:30-16:50 Kick-off and Introduction: Stefan Keller (OST Eastern Switzerland University of Applied Sciences, Rapperswil)
16:50-17:10 Guest speaker Aldo Lamberti (Syntheticus.ai, Zürich)
17:15-17:35 Guest speaker Jakob Dambon (SwissRe)
17:40-18:00 Guest speaker Josef Boesze (itopia AG, Zürich)
18:00- open Apéro & Networking
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 next Expert Group meeting of Spatial Data will be in December. The meeting will by physical in the Gleisarena Zürich! The meeting has been changed to being online! A Teams-link will be sent to all registered participants.
Main topic of the discussion will be GIS and health.
With the earth as reference object (“geospatial”): On Her Majesty’s Secret Service – Die Bedeutung von Raum und Zeit aus pharmakologischer Sicht
Talk by PD Dr. med Stefan Weiler, EMBA
Experte European Medicines Agency
Senior Researcher ETH Zürich Pharmakoepidemiologie
With the human body as reference object: The World Is Not Enough – Die Bedeutung von Raum und Zeit in der Klinik
Talk by Dr. Joachim Steinwendner, MSc.
Forschungsfeldleiter “GeoHealth”, FFHS
Dozent ETH, CAS RIS/GIS
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