Ikerian’s Post

🎥 Highlights of the "ORD for the Sciences" Hackathon ! Hosted on the vibrant EPFL campus and co-organized by the Swiss Data Science Center and EPFL Open Science, the Hackathon brought together participants from academia, industry, and public institutions. Over two intense days, teams explored how #OpenResearchData (ORD) can drive scientific innovation, tackling challenges in fields like #energy, #health, and #digitaltransformation. Discover the energy, creativity, and impact in this recap video! Gilles Dubochet Oksana Riba Grognuz Angelika Kalt Florin Hasler Laura Kinkead Jonathan Dan Robin F. Luis Salamanca Carlos Vivar Rios Valerio Rossetti, PhD Aruni P. Senaratne Elisabet Capon Garcia Rok Roškar Olivier Verscheure Uta Uenal Catherine Hugon Eros MARAIA #Hackathon #OpenData #DataScience #Innovation #ORD #ScientificImpact #renku

📌 Save the Date! Announcing the “ORD for the Sciences” Hackathon! The Swiss Data Science Center and EPFL Open Science are thrilled to co-organize a #Hackathon on October 24-25, 2024 to explore the potential and impact of #OpenResearchData on the sciences. Check out the details below and mark your calendars! 🔍 Theme: ORD for the Sciences 📆 Event Dates: October 24-25, 2024 📍 Location: EPFL ✍️ Registration: will open in August. Stay tuned. Participants will have the unique opportunity to share their #datasets with a vibrant scientific community. This means you'll be able to: 🗂️ Bring and enhance your datasets to work more efficiently. 💡 Create models and analyses to add new dimensions to existing datasets.   Challenge Focus: 📊 Maximizing Dataset Utilization: Improve how datasets are used and understood. 🧩 Developing Models and Analysis: Innovate by creating new applications and insights from these datasets. Why Participate? 🖥️ Access cutting-edge datasets and computational resources. 🔧 Engage with the latest models and tools. 🤝 Collaborate with experts and peers in mixed teams, gaining valuable insights and networking opportunities. Join us to push the boundaries of Open Research Data in the sciences! 🚀 Stay tuned for more details 👉 https://lnkd.in/e7t_pE7X

ORD for the Sciences #Hackathon: Register and Submit Your Project Proposal!   🎥 Check out this video where Oksana Riba Grognuz shares why working with #OpenResearchData is like preparing fugu fish - it requires skilled experts to unleash full data potential! 🐡 Join us at the Hackathon and be part of this exciting journey by registering today.   But that’s not all - we also need your project ideas!   We invite you to submit proposals for one of the two tracks, both exploring #FAIR principles and governance:   💻 #DataScience: Develop innovative projects using open datasets, tools, or models to extract valuable insights.   🛠️ Research Data Infrastructure (RDI): Prototype and improve RDIs. 🔔 Project submission closes on September 30th.   Watch the video for inspiration, register, and bring your ideas to life during this hands-on event!   📆 Event Dates: October 24-25, 2024 📍 Location: EPFL ✍️ Registration and project submission: https://lnkd.in/e7t_pE7X

One of the things from this year that I'm most proud of is the guidance document that we set up during the #OSR24NL retreat, and that I took back to our faculty to actually implement it! We are not at the implementation stage yet, but the guidance document went through several rounds of feedback, which has led to some changes. So it was time to upload a new version on Zenodo: https://lnkd.in/eC5fHeP5 There is still a lot of work to do, but I'm happy where I left this - and hopeful for implementation of this in the future! #OpenScience #OpenData #OpenSoftare #OpenMethods #OpenHardware #OpenEducation

Today I'm at the National Open Science Festival at Maastricht University, where Hugo Quené, Coosje Veldkamp and myself gave a session on stimulating (re)use of FAIR research data among researchers. While significant efforts have been invested in ensuring the production of FAIR data, an equally critical aspect - stimulating the reuse of data - remains relatively underexplored. What obstacles and opportunities can be identified in data (re)use and which strategies could help to promote (re)use of existing data? Together with participants from various institutions and disciplines we discussed ways to stimulate the 'R' in FAIR, which aligns with the ambitions of the FAIR data and software track part of the Open Science agenda of Utrecht University. #openscience #FAIRdataandsoftware #reuse #metadata #sustainability

🌟 𝗦𝗰𝗶𝗯𝗼𝗿𝗴 𝗦𝗽𝗼𝘁𝗹𝗶𝗴𝗵𝘁 🔬 Meet Pierre Baillargeon, Senior Data Architect and one of TetraScience’s SciBorgs—experts in science, data, and technology whose combined expertise helps to accelerate innovation and outcomes for life sciences organizations. When asked which scientist inspires him most, Pierre chose Carl Sagan: "It’s incredibly important that scientists can explain complex concepts understandably and engagingly. His impact on the popularity of science, advancement of scientific education, and championing rational thought have inspired generations of scientists and educators." Who inspires you? Let us know in the comments! Learn more about Tetra Sciborgs: https://lnkd.in/gwMsYQQx #TetraScience #Sciborgs #DataDrivenScience

Are you contemplating an "open source" scalable data science adoption? If so, have you evaluated the Kubeflow-Kubernetes ecosystem for your scaled ML/AI/Deep Learning requirements? Recent enhancements to Kubeflow project features have made adoption more efficient, and its acceptance by the CNCF, along with increased community support, provides assurance for adopters. Meanwhile, CERN (Large Hadron Collider) is utilising Kubeflow to explore the mysteries of the universe - We’re glad to have followed the same path, providing a contemporary data science platform that serves our community. More info. on CERN's adoption:

💻 What exactly is a #hackathon? 🤔 𝐃𝐞𝐟𝐢𝐧𝐢𝐭𝐢𝐨𝐧 A 𝐡𝐚𝐜𝐤𝐚𝐭𝐡𝐨𝐧 is an event, typically lasting several days, where people collaborate to engineer a solution to a problem, build or improve software (or an app), or simply get together to identify new opportunities. The word hackathon is a portmanteau of the words 𝒉𝒂𝒄𝒌𝒆𝒓, which means clever programmer, and 𝒎𝒂𝒓𝒂𝒕𝒉𝒐𝒏, an event marked by endurance. Hackathons usually last more than one day. 💻 Have you heard about the BioMed X Institute hackathon in August? What? 𝐌𝐚𝐤𝐢𝐧𝐠 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐬 𝐨𝐟 𝐇𝐮𝐦𝐚𝐧 𝐃𝐢𝐬𝐞𝐚𝐬𝐞 𝐑𝐞𝐩𝐫𝐨𝐝𝐮𝐜𝐢𝐛𝐥𝐞 𝐇𝐚𝐜𝐤𝐚𝐭𝐡𝐨𝐧 When? 𝐀𝐮𝐠𝐮𝐬𝐭 28 & 29, 2024 Where? 𝐇𝐞𝐢𝐝𝐞𝐥𝐛𝐞𝐫𝐠 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐂𝐚𝐦𝐩𝐮𝐬 💻 The event is free of charge, but registration is required. You can register here: https://lnkd.in/gpXF4Pru. 💻 To request more info, please send an email to 𝐇𝐚𝐜𝐤𝐚𝐭𝐡𝐨𝐧𝐕𝐏𝐄@𝐛𝐢𝐨.𝐦𝐱. 𝐓𝐞𝐚𝐦 𝐕𝐏𝐄, 𝐭𝐡𝐞 𝐡𝐚𝐜𝐤𝐚𝐭𝐡𝐨𝐧 𝐡𝐨𝐬𝐭𝐬 Douglas McCloskey | Lilija Wehling | Gurdeep Singh | Ahmad Wisnu Mulyadi AI Health Innovation Cluster | EMBL | European Bioinformatics Institute | EMBL-EBI | University of Heidelberg | BioRN Life Science Cluster Rhine-Neckar

Ready to push the boundaries of science? Enveda is offering two exciting challenges for the Bio x ML hackathon we're co-hosting with our friends at Lux Capital and EvolutionaryScale: 1️⃣ Enhancing MS/MS Fragmentation Predictions: Leverage our GrAFF-MS model, which uses graph neural networks to predict mass spectrometry fragmentation patterns, or develop your own solution. You'll have access to ~1 million curated MS/MS spectra. 2️⃣ Advancing Molecular Similarity: Develop models that classify molecular similarity, capturing the nuanced perspective of expert chemists. Train your model on larger datasets and fine-tune it with Enveda's curated set of 600 molecular pairs, each annotated by five chemists. 💰 Prize: $10,000 for the best team, plus the opportunity to present your work to, and work with, Enveda’s team. 🌐 Open to participants worldwide. More info here: https://lnkd.in/ek7Z6zRV Join the hackathon and make an impact: https://hackathon.bio/

👣 Make your first steps towards #FAIR (meta)data descriptions, #ontolgy terms and #data deposition and take part in the workshop of the same name at the #NFDI4Microbiota Annual Conference on December 4th. ‼️ Current good science practices require to correctly label the data produced in modern biology. Not only do these labels give context and interpretation during data analysis, but they also allow interoperability between different investigations and potential reanalyses. However, the process of describing your data thoroughly, i.e. adding correct metadata, is not straightforward and can be confusing. Maja Magel from @Thomas Clavel lab at RWTH Aachen University will show you in this workshop how to identify #metadata standards and selecting the minimal amount of metadata necessary to describe your datasets, as well as how to use FAIR terms/ descriptions. When? December 4 in Leipzig | For Free 👉 Interested? Please register here for the workshop and our conferences: https://lnkd.in/e8HHuZx4