Events
Below you can find an overview of events organized by the SciLifeLab Serve team. Life science researchers in Sweden is our primary focus but some webinars may also be interesting for an international audience. Our events are open to everyone (regardless of affiliation) so feel free to sign up and attend. However, please pay attention to the described target audience of each event as some of them are prepared for groups with specific prior knowledge. When possible, we try to record our webinars and provide links to the recorded video afterwards on this page.
If you have any questions about the events below or if you would like to collaborate with us on organising an event, feel free to get in touch with us (serve@scilifelab.se).
Upcoming events
Webinar: Publishing Shiny apps as a researcher
Shiny is a popular framework for building interactive web apps with visualizations, tables, analysis tools, etc. using R. Researchers often create Shiny applications as part of their projects and want to publish them as supplementary materials for publications, presentations, and other purposes. However, finding a venue to publish (in other words, to host) a Shiny app is challenging because existing commercial platforms are not optimized for use by researchers and impose limitations on the speed of the applications and volume of visitors in their free tier.
In this webinar, we will demonstrate Shiny app publication through SciLifeLab Serve — a newly developed platform that is free to use for all life science researchers in Sweden and offers dedicated resources for long-term hosting. We will discuss how to prepare a Shiny app for sharing and provide a step-by-step demonstration of how to start hosting it and obtain a public URL to share with the world. After this webinar you should be able to do this yourself for your own Shiny apps. Additionally, we will discuss requirements from funders and research institutions when publishing Shiny applications as research output.
If you are a researcher with an existing Shiny app you’d like to publish, or if you plan to build a Shiny app in the future, this webinar is for you.
Stockholm/KTH: Building and sharing machine learning demo applications
It is becoming increasingly popular to share machine learning models with the community as web applications with an easy-to-use interface. Users can then adjust parameters or submit their own input and see the predictions generated by the underlying model. This tutorial is aimed at KTH researchers (all career levels welcome) who work with machine learning models but do not have the skills to build interactive applications for web. During the tutorial we will start from a trained model and demonstrate step by step how you can create a graphical user interface for your application, prepare it for deployment, and make it available on the web with a URL. We will demonstrate the use of specific tools which make this process easy and doable in under an hour, specifically we will demonstrate and try out Gradio for app building. We will also demonstrate SciLifeLab Serve, a platform for hosting models and applications available to all researchers in Sweden.
The tutorial lasts 2 hours, with a break in the middle. After the tutorial all participants are invited for lunch. During the lunch participants will have an opportunity to informally chat with KTH Library staff and SciLifeLab Data Centre to discuss the needs for services and research infrastructure in research using machine learning methods.
Past events
Stockholm: Packaging and sharing data science applications as Docker container images
This event is part of the DDLS Annual Conference 2024.
This workshop is aimed at life science researchers who want to share data science applications such as apps built with R Shiny, Plotly Dash, Gradio, Streamlit etc. publicly or with colleagues. Docker container images are a powerful tool for packaging and sharing applications and analyses widely used in both industry and academia. During the workshop we will first present the basics of Docker and how to build Docker container images. Building on this knowledge participants will then carry out hands-on exercises on their own laptops while we will be available to help. Finally, we will also demonstrate how to publish applications packaged as Docker images on SciLifeLab Serve and make them available on the web with a URL (for example, to be used in research papers or other output). SciLifeLab Serve is a service available free of charge to all life science researchers in Sweden. The participants are welcome to bring their own data science applications, and we can help packaging them on the spot.
Uppsala/SLU: Packaging and sharing data science applications as Docker container images
This event is part of the Swedish Bioinformatics Workshop 2024.
This workshop is aimed at researchers who want to share data science applications such as apps built with R Shiny, Plotly Dash, Gradio, Streamlit etc. publicly or with colleagues. Docker container images are a powerful tool for packaging and sharing applications and analyses widely used in both industry and academia. During the workshop we will first present the basics of Docker and how to build Docker container images. Building on this knowledge participants will then carry out hands-on exercises on their own laptops while we will be available to help. Finally, we will also demonstrate how to publish applications packaged as Docker images on SciLifeLab Serve and make them available on the web with a URL (for example, to be used in research papers or other output). SciLifeLab Serve is a service available free of charge to all life science researchers in Sweden. The participants are welcome to bring their own data science applications, and we can help package them on the spot.
Lund: Building and sharing machine learning demo applications within life sciences
It is becoming increasingly popular to share machine learning models with the community as web applications with an easy-to-use interface. Users can then adjust parameters or submit their own input and see the predictions generated by the underlying model. This tutorial is aimed at researchers working within life sciences who work with machine learning models but do not have the skills to build applications for web. During the tutorial we will start from a trained model and demonstrate step by step how you can create a graphical user interface for your application, prepare it for deployment, and make it available on the web with a URL. We will demonstrate the use of specific tools which make this process easy and doable in under an hour.
The workshop will last for 2 hours with a break in the middle. We have room to accept 35 participants, on the first come first served basis. Those registered after that will be placed on the waiting list.
After the workshop all participants are invited for lunch.
Agenda:
10:00-12:00: Workshop
12:00-13:00: Lunch
Stockholm: Building and sharing machine learning demo applications within life sciences
This workshop is part of the DDLS Annual Conference 2023: The emerging role of AI in data-driven life science.
It is becoming increasingly popular to share machine learning models with the community as web applications with an easy-to-use interface. Users can then adjust parameters or submit their own input and see the predictions generated by the underlying model. This tutorial is aimed at researchers working within life sciences who work with machine learning models but do not have the skills to build applications for web. During the tutorial we will start from a trained model and demonstrate step by step how you can create a graphical user interface for your application, prepare it for deployment, and make it available on the web with a URL. We will demonstrate the use of specific tools which make this process easy and doable in under an hour.
The workshop will last for 2 hours with a break in the middle. We have room to accept 30 participants, on the first come first served basis. Those registered after that will be placed on the waiting list.
