Space expertise brings £1.3m big data science boost to North East of England

The North East of England’s reputation as a major hub for space, data science, and the digital industries has received a further boost with the announcement of a new £1.3 million Centre for Doctoral Training in the field of data-intensive science.

The Centre – which will be known as NUdata – will be run by Northumbria and Newcastle Universities. It will be supported by over 40 industrial partners across a range of sectors within the region, UK, and across the globe.

The Government is keen to make the UK a leader in artificial intelligence and data science and there is an urgent need for data scientists qualified at the Ph.D. level across all sectors. The Department of Business, Energy, and Industrial Strategy asked research councils to support the development of these crucial roles. 641efc31 e33c 4cd9 be53 f0dc6b400c8f ntitled20design2061 e0767

The Science and Technology Facilities Council (STFC) has now announced the funding of five new centers for doctoral training in data-intensive science across the UK for £6.5 million – including almost £1.3 million to NUdata to train 21 Ph.D. students over the next six years.

Researchers at both Northumbria and Newcastle Universities are already gathering, analyzing, and interpreting vast amounts of big data in the fields of solar physics, space physics, cosmology, and astrophysics to unravel the secrets of our Universe.

They joined forces in a bid to create a new center that would draw on this world-leading expertise to train a new generation of scientists in artificial intelligence and data science using astronomy as its inspiration.

The universities have attracted more than 40 industrial partners to the center, including Amazon’s Alexa, the BBC, Britishvolt, GSK GlaxoSmithKline, Marks and Spencer, the Met Office, the National Audit Office, Northumbrian Water, Ordnance Survey, Procter & Gamble, Tesco, and the World Food Programme – all of which rely heavily on big data to deliver their services.

Professor James McLaughlin, Head of Northumbria University’s Solar and Space Physics research group, led the bid to create the NUdata center.

He said: “Our vision is to train students in STFC science and data science in a city renowned for both. We will train a new generation of Ph.D. students to address the data challenges presented by STFC frontier research, as well as apply those skills to different sectors of the broader economy.

“Businesses are absolutely reliant on big data to succeed, and so industrial involvement is at the heart of this new center for doctoral training.

“In designing these new PhDs we have made a deliberate effort to work with a range of companies from household names, large multinationals, government-type organizations, and local SMEs. Given the city’s reputation for the data and digital sectors, we hope that this Centre for Doctoral Training will provide a key contribution to the leveling up agenda and put the UK at the forefront of artificial intelligence and the data revolution.”

Professor Tamara Rogers, Professor of Computational Astrophysics at Newcastle University and Newcastle University’s NUdata lead added: “The UK faces a shortage of skills in managing, visualizing, analyzing, and interpreting large, complex datasets and high rates of data flow. These skills are increasingly needed across a wide range of sectors as complex data analysis underpins many aspects of society.

“Driven by the need to handle the ever-increasing data rates and high-performance computing generally, our new Centre for Doctoral Training is in a strong position to contribute to developing these skills by training the next generation of PhD-qualified data specialists.”

Professor Grahame Blair, Executive Director of Programmes at the Science and Technology Facilities Council, said: “Big data is the linchpin of big science. This funding will bring on the next generation of data science experts, to ensure the UK research and innovation sector continues to thrive.

“When processing and analyzing huge quantities of data, a vital step on the road to scientific discoveries, scientists gain invaluable skills which could also help with industrial and societal challenges.

“These exciting research projects take the expertise gained during frontier research in astronomy and particle physics, to find solutions and techniques which can also be applied in industry and society.”

Students at NUdata will learn a thorough grounding in computational and data science techniques, machine learning, deep learning algorithms, and big data challenges based on astronomy-related data before moving on to a six-month placement, choosing to work with one of the many business partners.

The placements will help them to gain explicit knowledge of the industry as well as additional expertise in data-intensive techniques and their application. It will also mean that graduates of NUdata have the skills required to work either in industry or academia.

Northumbria and Newcastle Universities have a long-established tradition of working collaboratively for the benefit of people living in the city and beyond. This partnership approach has been strengthened even further through the Collaborative Newcastle Universities Agreement (CNUA) – combining the Universities’ collective power, expertise, and world-leading research.

NUdata is one of several joint Centres for Doctoral Training between the two universities, which also includes the successful ONE Planet Doctoral Training Partnership and ReNU which is helping create a new generation of specialists capable of tackling the most challenging problems in renewable energy.

For more information or details on how to apply for a Ph.D. at the center, visit the NUdata webpages or follow @NUdataCDT on Twitter.

21st Century Jobs in Healthcare, Education, Space and Defense will require modeling, simulation talent

$1M Department of Education Grant to create modeling and simulation pipeline in Florida Professor Roger Azevedo is the lead investigator on the grant. He specializes in intelligent system design — the intersection of intelligent machines and how humans use them.  CREDIT UCF/Karen Norum

Many of tomorrow’s jobs haven’t been imagined yet, but those well versed in cutting-edge technologies, such as modeling and simulation will have the competitive edge. 

UCF’s School of Modeling, Simulation and Training (SMST) is already a national leader in modeling and simulation research and education. The Department of Defense employs many of our doctoral graduates as do a range of commercial companies. Now, thanks to a Department of Education $1 million grant, UCF will strengthen its existing graduate program, create a new undergraduate modeling and simulation curriculum and launch outreach programs for high schools, all to create a pipeline of talent that will help lead the nation in this exploding area of innovation.

“It is essential to build a future workforce with the critical skills and competencies in modeling and simulation so that we retain our competitiveness in national security and space,” says Grace Bochenek, the school’s director and a co-investigator on the grant. “The new skills are going to be necessary across many industries from security and space to education and healthcare.”

Congress declared modeling and simulation a National Critical Technology as early as 2007. It has only become more important since then as the technology has advanced. At UCF, modeling and simulation research has helped train firefighters, co-pilots, fighter pilots, law enforcement, teachers, clinicians and military medics, among others. There’s also ongoing research using simulation that focuses on teams that will travel together on long missions to other planets and asteroids.

Even some of the most popular video games kids are playing are simulations —Fortnite, Halo, etc.  One of the hottest holiday toys of 2021 was the Oculus, a virtual reality home system that transports users into a simulated world.

“We can’t lose sight of the human element in the design and use of intelligent machines for training and education,” says SMST Professor Roger Azevedo, the lead investigator on the grant. He specializes in intelligent system design — the intersection of intelligent machines and how humans use them.

Part of Azevedo’s work will focus on ensuring the new courses and curriculum developed accounts for the human element. The new courses and curriculum will take into consideration the role of cognitive, metacognitive, affective, and motivational self-regulatory processes during learning with advanced learning technologies, which is Azevedo’s area of expertise. He focuses on understanding the complex interactions between humans and intelligent learning systems by using interdisciplinary methods to measure cognitive, metacognitive, emotional, motivational, and social processes and their impact on learning, reasoning, performance, and transfer. Even more critical is that students learn how to take on complex challenges by using critical thinking/problem solving skills to solve societal challenges using innovative and transformative new immersive technologies and platforms, such as metaverse, as research, learning, training, and assessment tools.

“This is exciting work, and the future is full of possibility because simulation and modeling has so many potential applications to help people and our society as a whole,” Azevedo says. “We can’t wait to get started.”

Azevedo also has affiliations with UCF’s departments of computer science and internal medicine. He co-leads UCF’s Learning Sciences cluster, which develops new technologies to improve learning outcomes and human performance, exploring how we interact with and learn using machines. He received his doctorate in educational psychology from McGill University and completed postdoctoral training in cognitive psychology at Carnegie Mellon University. He joined UCF in 2018 and in 2021 he was named among the top 2% of researchers in his field by the journal PLOS Biology.

The award comes during SMST’s 40th anniversary year, which has seen modeling and simulation go from small scale projects to being used in practically every field.

Regional nuclear war a risk for global food security

Even a limited nuclear war could have dangerous effects far beyond the region that is fatally hit. It would result in global cooling that substantially reduces agricultural production in the world's main breadbasket regions, from the US to Europe, Russia, and China. The particular effect on food security worldwide including trade responses has now for the first time been revealed by an international team of scientists in a study based on advanced supercomputer simulations. The sudden temperature reduction would lead to a food system shock unprecedented in documented history. It would not undo long-term climate change from fossil fuels use, though - after about a decade of cooling, global warming would surge again.

"We now know that nuclear conflict would not just be a terrible tragedy in the region where it happens - it is also an underestimated risk for global food security," says Jonas Jaegermeyr at the Potsdam Institute for Climate Impact Research, the NASA Goddard Institute for Space Studies, and the University of Chicago; lead author of the study now published in the Proceedings of the National Academy of Sciences. "We find severe losses in agricultural production, but importantly we also evaluate trade repercussions affecting local food availability. It turns out that major breadbasket regions would cut exports leaving countries worldwide short of supplies. A regional crisis would become global because we all depend on the same climate system." {module INSIDE STORY}

+++Soot from fires ignited by the bombs would partially block sunlight+++

As an example of regional conflict, the scientists studied the implications of a limited nuclear war between India and Pakistan using less than 1 percent of the worldwide nuclear arsenal. Fires ignited by the bombs would send large amounts of soot high up into the atmosphere where winds would rapidly distribute it around the globe. These particles would partially block sunlight from reaching the Earth's surface, causing sudden cooling and changing weather patterns. For the injection of 5 million tons of smoke, climate models calculated global mean temperature drops of about 1.8 Celsius degrees (3.2 Fahrenheit degrees) and precipitation declines of 8 percent for at least five years - pushing Earth into a state substantially colder and drier. To put this into context, so far greenhouse gases from fossil fuels have warmed our planet by roughly 1 degree Celsius. Before this study, however, there has been very little understanding of how global agricultural systems would respond to cooling.

In the first year after the war, domestic reserves and global trade could largely buffer the food production loss, the researchers now show. By year four, grain stocks would virtually be depleted and the international trade systems would come to a halt. Continuing production losses, therefore, propagate from the breadbasket regions in the Northern Hemisphere to the often poorer populations of the Global South. Maize and wheat availability would shrink by at least 20 percent in more than 70 countries with about 1.3 billion people. "This is a surprisingly sharp response in view of the much larger conflict scenarios imaginable when it comes to nuclear war," says Jaegermeyr.

+++"More people could die outside the target areas due to famine"+++

"As horrible as the direct effects of nuclear weapons would be, more people could die outside the target areas due to famine, simply because of indirect climatic effects," says co-author Alan Robock at Rutgers University. "Nuclear proliferation continues, and there is a de facto nuclear arms race in South Asia. Investigating the global impacts of a nuclear war is, therefore - unfortunately - not at all a Cold War issue."

The authors exclude India and Pakistan from their analyses, in order to avoid arbitrary assumptions when mixing up the direct and indirect effects of war. Under the assumption that food production in the two countries would drop essentially to zero, indirect global food shortages would be even worse. While the two countries' nuclear arsenals continue to grow both in number and weapon size, this study used the lower end of potential soot emission estimates.

"We ran an ensemble of six leading AgMIP global crop models for this study, and they all agree to a great deal on the signal. This shows how robust the simulations are," says co-author Cynthia Rosenzweig at the NASA Goddard Institute for Space Studies. She's a veteran pioneer of breakthrough agricultural model intercomparisons (AgMIP) which today are one important part of the larger Impacts Model Intercomparison Project (ISIMIP) coordinated by the Potsdam Institute. "Comparing different [super]computer simulation models reduces uncertainties. Today, we can say with confidence that such a regional nuclear war would have adverse consequences for global food security for about a decade, unmatched in modern history."