Workshops round 1 (15:45-16:15)
1. Can microsensors help your research? New opportunities at WUR soon! (Hall)
Soon, we will get the opportunity to develop our own micro-sensors at WUR! These sensors can have a diameter of <10 µm and can be used for instance to collect data between cell layers. At Marine Animal Ecology these sensors are already being applied to measure H2O2 in corals. Visit this workshop and we will show you examples of these sensors. But more important: we would like to talk to you about how microsensors can help in your research.
Just for an impression, the sensors that are now being produced can measure: O2, CO2, H2S, H2O2, redox, N2O, NO, H2, pH, Ca2+, NH4+, NO3-, NO2-, CO32-, Methane, VFA, and glucose. When things develop as planned we will be able to produce these at Wageningen soon, in cooperation with Max Planck Institute Bremen.
Workshopleader: Edwin Foekema
2. How can organoids progress your fundamental research? (E0243)
You have probably heard of organoids, but might not know what they exactly are, how they are made and what they can be used for. During this workshop you will learn in more detail what organoids are (iPSC or adult stem cell derived), and what types of organoids we currently have within ASG. We can make them from different species (e.g. cow, chicken, pig, mouse, fish), but also organoids from different tissues can be made. Furthermore, we will go more into detail on the type of fundamental research they can be used in: think about nutrient exposure, viral infection or bacterial challenge. Please join this workshop to discuss whether organoids could help you advance your research!
Workshop leaders: Jerry Wells and Aline Fernandes
3. Agent based models in animal sciences - approaches and applications (A0108)
Agent-based models are widely used to simulate groups or populations of interacting individuals. In this workshop we will consider two very different approaches to using agent-based modelling. We give examples, highlight the pros and cons of each, and will engage with the participants to discuss how these (and intermediate forms) can be applied in their research, and what is needed to successfully do so.
Workshopleader: Floor Soudijn
Workshops round 2 (16:15-16:45)
4. Software Sensors and Predictive Animal Maintenance (Hall)
Utilising ongoing research examples, this workshop will take you through the concept of software-sensing and how it can be used for predictive animal maintenance. We will tell you about The EnergyTag: a software sensor that we are currently developing for real-time monitoring of animal’s energy expenditure for predicting animal metabolic problems.
The recent digital innovations have facilitated the emergence of monitoring and sensing technologies that allow animal caretakers to continuously track many vital signs of their animals. The integration of such sensor technologies and computational algorithms (software sensor) offers a reliable predictive assessment and early warning tool for animal health and welfare status that allows effective intervention.
Workshop leader: Ali Youssef
5. Organoids and their use in applied research (E0243)
One of the milestones we have achieved in NLAS-CCS is that we have been able to set an example of synergy between fundamental and applied research. We are developing innovative tools with knowledge from fundamental research. This workshop will highlight the tools and their applications for applied research, such as creation of a biobank of pig intestinal organoid with different genetic background and phenotypes, pig intestinal organoid based Transwell system, and pig airway organoid ALI cultures (air liquid interphase). In addition, the workshop will preview new innovative tools in the field of complex cell systems research, such as 1) porcine intestinal organoid immune cell co-culture model system, 2) epithelial and immune cell co-culture using an "on-a-chip" model system, 3) single cell sequencing of organoids and/or tissues.
Workshop leader: Soumya Kar
6. The application of machine learning tools in animal sciences (A0108)
Many people have very high expectations of machine learning and comparable novel analysis tools in science. We would like to discuss these expectations. What is hype, and what is realistic? Can we collectively create a clearer picture of where the real added value of these tools lies? And how do we make sure that the applications NLAS works on will be useful to as many of us as possible?
Workshop leader: Steffen Werner
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Zodiac building, Wageningen CampusZodiac building, Wageningen CampusDe Elst 1 6708 WD Wageningen Netherlands