ELTRUN’s Post

#ICIQSeminar | 🙌Thank you Dr. Juan V. Alegre-Requena from ISQCH CSIC for delivering a seminar about the integration of digital chemistry within the broader chemistry community. Advances in hardware and algorithms now enable digital chemistry to tackle complex problems. Automation reduces errors, boosts reproducibility, and supports data storage and reuse AQME is an automated end-to-end workflow software that performs multi-step tasks of computational chemistry ROBERT automates ML-related tasks (data curation, hyperparameter optimization, and ML predictor generation) The combination of these programmes allows for high-quality reaction energy profile studies and ML predictions to be generated with just a few command lines, starting from simple inputs such as databases with SMILES strings. 🔵 Also thanks to our seminar sponsor BASF ICERCA - Centres de Recerca de Catalunya | Barcelona Institute of Science and Technology (BIST) | SOMM Alliance

If you have ever wondered, ❓ What makes FAIR data so difficult in research, ❓ How do others keep up with the increased pressure for innovation speed, or ❓ What does it mean to do data-driven biological research, I'd warmly recommend to have a look on this white paper: How to make research data your competitive advantage ⤵ The reason why I like this document, is that it clearly explains the challenges and references recent market studies, provides "tick-a-box" action items on key considerations (architecture, governance & solution), and includes real-life industry-specific case studies. A perfect read for biotech R&D and IT leaders & stakeholders. (Let me know if you prefer me to share a pdf version via message, happy to do so)

𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝟬𝟯: 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗗𝗲𝘀𝗶𝗴𝗻, 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝗼𝗳 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗠𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀 👥 𝗖𝗵𝗮𝗶𝗿: Ioannis Papadimitriou 🌐 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝘁𝗵𝗲 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗠𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆! Discover how digital modeling and simulation tools transform the materials industry, driving competitiveness and sustainability. 🧪💡 𝗗𝗶𝗠𝗔𝗧 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 aims to develop digital technologies for modeling, simulation, and optimization across the material value chain, integrating data analysis and visualization to enhance quality, sustainability, efficiency, and competitiveness. More information: https://dimat-project.eu/ 🔍 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐄𝐱𝐩𝐞𝐜𝐭: -Insights into the DiMAT project, which promotes comprehensive digital solutions for European companies. -Innovative methods connecting initial design to manufacturing and process optimization. -Case studies showcasing improvements in quality, sustainability, and operational efficiency. 💡 𝐊𝐞𝐲 𝐓𝐨𝐩𝐢𝐜𝐬: 1.  Digital solutions for advanced materials across the value chain: design, processing, and manufacturing. 2.  Tools for optimizing production and industrial processes. 3.  Case studies in textiles, composites, glass, and graphite sectors. 4.  Strategies to enhance the sustainability and resilience of the materials industry. 📢 Don't miss the chance to be part of the discussion. From process optimization to innovations in design, this session promises practical and scalable solutions to industry challenges. 💡𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐃𝐚𝐭𝐞𝐬: - Papers Submission Deadline: 9th Feb 2025  - Notification of Acceptance: 31st Mar 2025  - Final Paper Submission: 15th May 2025 📅 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐃𝐚𝐭𝐞: 16th – 19th June 2025 📍 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Valencia, Spain 📖 𝐓𝐨𝐩𝐢𝐜 𝐀𝐫𝐞𝐚𝐬: Engineering, Technology, Innovation, Entrepreneurship and more! 🔗 Learn more about the Conference at: https://lnkd.in/dHgSmuh9 Keep following us to learn more about the Conference and Paper Submission! #CallForPapers #ICE2025 #Engineering #Technology #Innovation #Entrepreneurship

++++ IPMAI project officially launched ++++ The official kick-off meeting of the IPMAI project took place at the Software Competence Center Hagenberg from 8 to 9 April 2024. IPMAI is a synonym for Interpretable Prescriptive Maintenance using #ArtificialIntelligence. Objective of this project is the development of a new artificial intelligence (AI)-based maintenance strategy for machines with gearboxes.  IPMAI's approach is of general applicability because of its AI-generated explanations innovative in terms of user acceptance and because of the use of the gearbox as a general wear indicator. The lead partner of this project is Software Competence Center Hagenberg, which will be working on this innovative topic together with eight other partners from Austria and the Czech Republic over the next three years. The consortium consists of the following organisations: -          Software Competence Center Hagenberg GmbH (Leadpartner) -           University of Applied Science Upper Austria, Research and Development GmbH -           AC2T research GmbH -           University of South Bohemia in České Budějovice -           College of Polytechnics in Jihlava -           Intemac Solutions, s.r.o. -           CDP Center for Digital Production GmbH -           Business Upper Austria – OÖ Wirtschaftsagentur GmbH -           dataPartner s.r.o. This project is co-funded by the European Union within the Interreg Austria-Czechia – programme.

I am glad to receive the news that the research outcome of the Master's degree thesis reached the 2nd position in the SSRN database of Top Ten download list for ERPN: Other Microeconomic Theory (Sub-Topic), IRPN: Innovation & Product Development (Topic) and IRPN: Innovation Management (Topic). The paper titled "Circular Economy Maturity Framework for Small and Medium Enterprises," authored by Gabriel Bandeira, Dr. Ubiratã Tortato, and myself, published as a preprint is available at: https://lnkd.in/djx3xrug #circulareconomy #smes

My prediction it would go to Autor, Acemoglu and Katz for skill biased technological change, automation, the computerization of work, etc didn’t win even though Acemoglu did win. Which frankly speaks volumes about Acemoglu because he could win the prize several ways. The 57-page scientific explainer does not mention Autor and the word “skill” is mentioned twice, but never for the things I was linking Acemoglu to. so then that’s two pieces of evidence that Sweden is waiting to give it to Katz for skill biased technological change either alone or with Autor. The first was that that work with Claudia Goldin was never mentioned when she won even though the race between education and technology that they coauthored is her most cited work. And now two, in the Acemoglu, Robinson and Johnson award, the work on skill and automation seems not to be the focus — it’s more for the institutions and global inequality work.  so I feel good to guess Autor and Katz safely but I will say if an economist were ever to win it twice, it would be Acemoglu. 

🫵 Are you ready to supercharge your #material manufacturing business with DiMAT? 💡 Share your insights, become an early adopter, and gain exclusive access to #DiMAT digital toolkits and expert support!

The Science System Advisory Group (SSAG) is now seeking submissions for phase one of its consultation process.    Submissions are open until 11.59pm Friday 17 May 2024.   The SSAG has been established by the Ministry of Business, Innovation and Employment to provide advice to the government on strengthening the science, innovation and technology system.    In the first phase of consultation, the questions are broad and high-level to allow the SSAG to determine principles that will shape subsequent discussions and calls for future submissions.   Group members will consider challenges and aspirations of the many components of the sector, and its structure, efficiency and effectiveness. A two-part report will be developed, with the first part delivered end of June, and the second end of October 2024.    The first part will focus on determining principles for the sector moving ahead and providing preliminary advice and recommendations. The second will provide final recommendations and advice on longer-term changes to ensure the future success of the science system in New Zealand.   To make a submission please visit ssag.org.nz/submit  

Achieving a more rapid time to market, however, can be complicated by lengthy, costly product development cycles; changes in the labor market and talent acquisition strategies; and the highly-regulated nature of this industry. Successful life science organizations must ensure that every step along the product development continuum is carried out as efficiently and effectively as possible, including the development and commissioning of laboratory infrastructure. In this paper, we explore how smart life science technologies combine with digitalization and data-driven services to optimize project timelines, scale up production, support certification efforts, and take products to market rapidly—without compromising on product / research quality or safety. Read more in our paper: https://sie.ag/6ysAkm