The FAIR-DI European Conference on Data Intelligence 2024 took place from October 27 to 30 in Karlsruhe, gathering experts to discuss significant advancements in data intelligence.
The event brought together specialists from theoretical and experimental backgrounds, focusing on research data management, related services and tools, databases, and the impact of large language models (LLMs) and artificial intelligence (AI) in materials science.
Several talks introduced new databases and services for research data management during the conference, covering material synthesis, artificial photosynthesis, theoretical calculations, and polymers. Although each solution was tailored to its specific field, a common principle emerged: the importance of enabling the efficient use of substantial datasets to accelerate scientific discovery. By utilizing the potential of LLMs - such as active learning and chatbots - these tools aim to predict and discover new materials and methods while supporting scientists throughout their experiments.
A central theme of the conference was the evolving field of data intelligence. While data and intelligence are interconnected, they also influence each other independently. The community is currently focused on managing existing data in both theoretical and experimental contexts using machine learning, natural language processing, and large language models. However, these methods are expected to shape future data collection practices, raising essential questions: Which data should be prioritized? How do we ensure data quality? Can we capture all relevant data? And what role will robots play in data generation and collection? These questions were actively discussed during the conference and are anticipated to drive research in the coming years.
A highlight of the conference was the FAIR-DI Award ceremony, which recognized outstanding data handling in a PhD thesis aligned with FAIR principles. This year's award was presented to Lena Pilz from KIT. She delivered an engaging presentation on her innovative use of Chemotion as an electronic lab notebook (ELN), expanding its application to metal-organic framework (MOF) synthesis and openly publishing her research data according to FAIR principles. Congratulations!
We thank all participants of the FAIR-DI European Conference on Data Intelligence 2024 for contributing to the success of this event.
We are delighted to announce the FAIR-DI Award for Data Handling in a PhD Thesis. The FAIR-DI Award recognizes an exceptional PhD Thesis in the field of FAIR (Findable, Accessible, Interoperable, Re-purposable) data.
The recipient of this award will have the opportunity to present their thesis at the FAIR-DI European Conference on Data Intelligence 2024 (Karlsruhe, Germany, 27-30 Oct 2024) and will receive a prize of €2000.
Karlsruhe, Germany, October 27 – 30, 2024.
Building on the success of previous editions, we are pleased to announce the upcoming FAIR-DI European Conference on Data Intelligence 2024. Following the remarkable achievements and insightful discussions at the 2020 and 2022 Conferences on a FAIR Data Infrastructure for Materials Genomics, we are excited to continue the discussion and further collaboration and innovation in this growing field with the theme of Data Intelligence.
Videos of talks from this year's FAIR-DI Conference on a FAIR Data Infrastructure for Materials Genomics are available on the conference's KouShare page under "videos". You can also find the links for specific talks on our conference program page.
The second International FAIR-DI Conference on a FAIR Data Infrastructure for Materials Genomics will take online place from July 12-15, 2022. The full program of 78 talks by experts in Data management, Experimental and computational databases, Exascale computing, High-throughput experiments and computations and Machine learning, is now available to view or download here.
Registration for the conference is free and open until June 30, 2022.
At our next FAIR-DI - FAIRmat Colloquium on April 7, Hans-Joachim Bungartz will talk about Providing Infrastructure for the Infrastructure.
After a great start of our colloquium series (watch the talk by Barend Mons here: https://youtu.be/N4CBAqKQmQs), our next colloquium will take place on December 2 at 10:15 CET.
Christoph T. Koch will talk about Ingredients for Effective Computer-augmented Experimental Materials Science.
We are very much looking forward to her talk since it will set the stage for fruitful discussions in many sessions. So come ready to ask questions!
https://www.fair-di.eu/fairdi-colloqium-home
Elsa Olivetti's talk about Text and Data Mining for Materials Development will be postponed to spring 2022. Originally, the talk was to take place on November 4, 2021, as part of the second FAIR-DI - FAIRmat colloquium.
The next colloquium with Christoph Koch from Humboldt-Universität zu Berlin will be held as a hybrid event on December 02 at 10:15 CET.
We are very much looking forward to his talk since it will set the stage for fruitful discussions in many sessions. So come ready to ask questions! In case you missed it, you can watch the talk by Barend Mons on How to materialise FAIR here: https://www.fair-di.eu/fairdi-colloqium-videos
After a great start of our colloquium series (watch the talk by Barend Mons here: https://youtu.be/N4CBAqKQmQs), our next colloquium will take place on November 4 at 10:15 CET.
Elsa Olivetti from the Massachusetts Institute of Technology will talk about Text and Data Mining for Materials Development.
We are very much looking forward to her talk since it will set the stage for fruitful discussions in many sessions. So come ready to ask questions!
https://www.fair-di.eu/fairdi-colloqium-home
We are excited to have leading FAIR data specialist Barend Mons as our first speaker at the FAIR-DI - FAIRmat Colloquium on October 7!
Barend Mons is the Scientific Director of the GO FAIR Foundation, President of CODATA, and key person behind the renowned paper The FAIR Guiding Principles for Scientific Data Management and Stewardship. He will talk about "How to materialise FAIR".
Registration required: https://www.fair-di.eu/fairdi-colloqium-home