Webinars

Data-Centric Engineering Webinar at AIChE – Data Science in Chemical Engineering

In a 45 minute panel discussion for the open access Data-Centric Engineering journal, leading researchers from industry and academia discussed how recent advances in data science methodologies can be applied to real-world chemical processes and industry. How can we leverage these technologies to make our chemical processes more efficient, profitable, environmentally friendly, and safe? What are the new avenues of research that combine chemical/process engineering and data science? Speakers include:

Francisco Navarro-Brull (Industrial Data Scientist at Solvay)
Oscar Mendez Lucio (Research Scientist, Artificial Intelligence for Drug Design, Janssen Pharmaceutical)
Costas Pantelides (Managing Director at Process Systems Enterprise Ltd and Professor of Chemical Engineering, Imperial College London)
Maria Jose Nieves Remacha (Senior Research Scientist at Eli Lilly)
Ruth Misener (Professor in Computational Optimisation at Imperial College London)

Organised by Antonio del Rio Chanona and Omar Matar of Imperial College London, and the DCE Editorial team.

Engineering needs a new journal for the advances made by data-centric approaches – Mark Girolami

Mark Girolami (University of Cambridge), the Editor-in-Chief of Cambridge University Press’s open access Data-Centric Engineering journal (cambridge.org/dce), discusses how the scale of data and precision of new methods are transforming all engineering sciences, the problems that data-centric engineering can help solve, the academic, industrial and policy audience the journal seeks to engage, and the importance of open science trends in embedding these new approaches in practice

Read Mark Girolami's vision for the journal here.

The time is right for Data-Centric Engineering – interview with Lord Robert Mair

Lord Robert Mair (University of Cambridge), an Editorial Board member of the new open access Data-Centric Engineering journal (cambridge.org/dce), discusses how sensing technologies are producing data that can better inform engineering design, and why open access and open data can lead to evidence-based policy decisions.

That Data-Centric Engineering is an open access journal is of fundamental importance - Stephane Bordas

Stephane Bordas (University of Luxembourg), an Executive Editor of the new open access Data-Centric Engineering journal (cambridge.org/dce), tell us that this new field marries the increased quantity and quality of data with analytical models, discusses how it can enrich a vast array of engineered solutions such as surgical simulations, and why open access not just to scientific literature, but underlying data and algorithms is of great importance.

To address global challenges we need open knowledge – Omar Matar

Omar Matar (Imperial College London) talks to us about how insights from data can inform a vast array of engineering challenges – from the design of subsea installations, to better understanding the microstructures of materials, to the control of a nuclear reactors – and why open knowledge is important for a multidisciplinary research.

Data-centric approaches are relevant through engineering processes and design - Roger Ghanem

Roger Ghanem (University of Southern California) says data-centric approaches are increasingly critical as we work with materials that we don't have experience with and encounter situations that are complex. He says there are very few venues that contemplate the multi-faceted growth of data science and its impact on engineering, and says the new Data-Centric Engineering journal can bring together constituencies, methodologies and applications.

Data-Centric Engineering: bridging the gap between models and reality - Carolina Osorio

Carolina Osorio (Massachusetts Institute of Technology) says we are entering a world where an understanding of the attributes of data and their limitations is of vital importance to engineering, and can help bridge the gap between reality and models. She also explains why case studies help build knowledge and solve problems.

All aspects of engineering are being ingested into this new data-driven world - Karthik Duraisamy

Karthik Duraisamy (University of Michigan) tells us how data is transforming engineering are important and why the new Data-Centric Engineering journal can serve a community not supported by existing journals.

Data-centric approaches allow us to ask complete new questions - Philip Withers

Philip Withers (University of Manchester) tells us that data-centric approaches have a universality that can connect different disciplines. He also tells us how a combination of the use of sensors in manufacturing approaches, more data about the materials being tested, and more information about microstructures and their properties can lead to better models and better predictions.

Open access can help data-centric engineering have an impact and reach practitioners

Data-centric approaches allow us to augment predictive models with data that tells us about the particulars of a given engineering situation and phenomena that are too complicated to be captured easily. Youssef Marzouk tells us know the new Data-Centric Engineering journal can sit at an intersection between engineering, statistics and methods, with a focus on practice.