Data-Centric Engineering at The Alan Turing Institute

Artificial Intelligence for Decarbonisation’s Virtual Centre of Excellence (ADViCE) event funded by Department for Energy Security and Net Zero (DESNZ) and delivered by The Alan Turing Institute, Energy Systems Catapult and Digital Catapult. #AI #Netzero #decarbonisation https://lnkd.in/er8Z5Y3k

DOING AI DIFFERENTLY! The Doing AI Differently initiative officially launches at Royal Academy of Engineering on 13th March 2025. Doing AI Differently challenges traditional approaches to AI development by positioning humanities perspectives as integral—rather than supplemental—to technical innovation. The initiative is building a community of scholars from diverse disciplinary backgrounds, with a special focus on bringing humanities and arts contributions further up the AI development pipeline, to the fundamental design of the technology. Core Challenges 1. Developing Interpretive Technologies. Leveraging current AI architectures to implement deeper interpretive capabilities, developing approaches to represent multiple perspectives and capture semantic depth while maintaining computational tractability. 2. Exploring Alternative AI Architectures.  Exploring fundamentally new approaches to AI design that move beyond current limitations in foundation models and gradient-based learning to enable more pluralistic and culturally adaptive AI systems. 3. Advancing Human-AI Ensembles Moving beyond simple substitution or assistance models, to foster new relationships between human and artificial intelligence, each contributing unique capabilities to achieve outcomes neither could accomplish alone. The initiative’s objectives include: Developing pilots demonstrating humanities-driven technical advances in AI. Fostering interdisciplinary partnerships through targeted funding mechanisms. Creating pathways and scalable models for humanities scholars to participate in large-scale AI projects.   Potential Benefits: New paradigms for complex, context-dependent tasks in AI research Enhanced AI tools for deep contextual analysis across disciplines AI systems better aligned with societal values and ethical considerations The rapid deployment of increasingly sophisticated AI systems makes this timing critical, and we seek to develop inclusive, research-led ideas that will provide practical ways to address some of the recommendations set out in the recent UK Government AI Opportunities Action Plan. To support research under this theme, an Arts & Humanities Research Council (AHRC–UKRI) International Science Partnerships Fund (ISPF) funding call will be launched in April 2025. This call will be focussed on collaborations between the UK, US and Canada. It adds the opportunities for research and innovation in AI – artificial intelligence – in the UK The Initiative is led by The Alan Turing Institute, The University of Edinburgh and the UK’s Arts and Humanities Research Council (AHRC) AHRC–UKRI with partner institutions in the UK and North America. The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336. With Drew Hemment #AI #DCE #DoingAIdifferently #AHRC

The UK is set to become the home for net zero interventions and the place for responsible AI innovation and adoption. Together, these goals can work in tandem, enabling new AI products and services to support high carbon emitting sectors to decarbonise. The Alan Turing Institute, Digital Catapult, and Energy Systems Catapult are driving this goal through the Artificial Intelligence for Decarbonisation’s Virtual Centre of Excellence (ADViCE) programme. ➡️ Join our latest in-person event to discover actionable insights and collaborative possibilities to advance AI solutions for sustainability in your field - register your interest now: https://ow.ly/s9Qt50V7GuU 🗓️ Thursday 13 March ⏰ 10:00 - 13:00 #AI #sustainability #decarbonisation #DCE

ALERT! Data-Centric Engineering at The Alan Turing Institute in collaboration with University of Strathclyde and Lloyd's Register Foundation are planning a series of workshops to discuss the role of AI and data science in asset management of critical infrastructure: 5th March (Glasgow) 21st March (London) 4th April (Glasgow) 25th April (London) Are you involved in operating and maintaining the infrastructure in the UK which supplies clean water and energy to our society, enables the movement of people and goods across the country and provides the communication infrastructure for the transfer of digital information among people and organisations? If so, we’d love to hear from you. Reach out to Graeme West or send a DM. Further information on the project can be found here: https://lnkd.in/eJrdqayN We are looking forward to hearing from you!

The latest ADViCE (Artificial Intelligence for Decarbonisation’s Virtual Centre of Excellence) blog post is out!   Following the Government’s announcement of its AI Opportunities Action plan, Adam Sobey reflects on how data-driven approaches can enable much-needed immediate changes to emissions reductions.   “Much of the focus is on technologies that are slow burners. We seem to focus on technology solutions that are net zero, but targeted at 2040, or solutions that will remove CO2 from the atmosphere, risking overshoot. It’s clear we need to start reducing emissions now, not just waiting for net zero solutions to become available”.   Link to the full blog post in the comments, or head over directly to the ADViCE Knowledge Base (https://lnkd.in/dRFRhA68)   The ADViCE Knowledge Base is a collection of resources and content specifically related to the usage of AI for decarbonising high-emitting industries. These resources include reports, webinar recordings, event summaries, as well as case studies and databases relevant to the usage of AI for decarbonisation.   ADViCE: https://lnkd.in/d4ZNEM_8 ADViCE Knowledge Base: https://lnkd.in/dRFRhA68 Blog Post: https://lnkd.in/dy-AANeP

As we close an eventful year of growth and unexpected twists , let us extend our heartfelt thanks to our collective DCE team whose contributions have been nothing short of inspiring. And likewise, to the whole DCE community. Together, we have contributed to advancing data-centric engineering in 2024. As we look to 2025, exciting opportunities await us. Let’s continue to forge new paths for data-centric engineering a safer world. Wishing you all a joyful festive season and a prosperous New Year of growth, and collaboration. 🌟 To a bright 2025, together. With Alice Budden, Katy Henderson, Kimberly T., Francisco Gómez Medina, PhD, Alexandra Brintrup, Drew Hemment, Shakir Laher, Graeme West, Panagiotis Papadopoulos, Christopher Nathan, Domenic Di Francesco, PhD CEng, Zack Xuereb Conti, Sizhe Yuen, Ting Su, PhD, Ziyang W., Adam Sobey #DataCentricEngineering #DCECommunity #DCE

As we close an eventful year of growth and unexpected twists , let us extend our heartfelt thanks to our collective DCE team whose contributions have been nothing short of inspiring. And likewise, to the whole DCE community. Together, we have contributed to advancing data-centric engineering in 2024. As we look to 2025, exciting opportunities await us. Let’s continue to forge new paths for data-centric engineering a safer world. Wishing you all a joyful festive season and a prosperous New Year of growth, and collaboration. 🌟 To a bright 2025, together. With Alice Budden, Katy Henderson, Kimberly T., Francisco Gómez Medina, PhD, Alexandra Brintrup, Drew Hemment, Shakir Laher, Graeme West, Panagiotis Papadopoulos, Christopher Nathan, Domenic Di Francesco, PhD CEng, Zack Xuereb Conti, Sizhe Yuen, Ting Su, PhD, Ziyang W., Adam Sobey #DataCentricEngineering #DCECommunity #DCE

🚀 Celebrating Innovation in Engineering! 🌉 We are proud to share that the MX3D Bridge project has been awarded the prestigious “Outstanding Development in Welded Fabrication” prize by the American Welding Society (AWS)!  🏆 This recognition places the bridge among legends like the Panama Canal and Mars Curiosity Rover. As the world’s first 3D-printed stainless steel bridge, it blends groundbreaking Wire Arc Additive Manufacturing (WAAM) with cutting-edge IoT systems and a digital twin, enabling real-time monitoring and predictive maintenance. Data-Centric Engineering at The Alan Turing Institute, supported by Lloyd's Register Foundation, played a crucial role in developing the bridge’s digital twin, collaborating with other partners like MX3D, Arup, Autodesk, FORCE Technology, Imperial College London, and the University of Twente to revolutionise how we monitor and maintain critical infrastructure. This achievement highlights the potential of data-centric solutions to make engineering safer and more sustainable—driving impact far beyond bridges! 🌍 Congratulations to MX3D, the City of Amsterdam, and all partners on this impressive achievement! 👏 with Katy Henderson, Alice Budden, Kimberly T., Ting Su, PhD, Francisco Gómez Medina, PhD, Alexandra Brintrup, Sizhe Yuen, Ziyang W., Zack Xuereb Conti, Domenic Di Francesco, PhD CEng, Xander Burbidge (Né Brouwer), Shakir Laher, Graeme West, Drew Hemment, Panagiotis Papadopoulos, Adam Sobey 🔗 Learn more about our contributions: https://lnkd.in/eM4smPnN #EngineeringInnovation #DigitalTwin #3DPrinting #DataCentricEngineering #MX3DBridge #AmericanWeldingSociety #WeldingAward #AlanTuringInstitute