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Nick Brandt’s Photos Stress the Resilience of Syrian Refugees in the Face of the Climate Crisis

07 Mar, 2025

This post was originally published on Colossal

In the Jordanian desert, Syrian families displaced by war huddle atop stacks of boxes like stalwart islands in a dry and unforgiving landscape. Photographer Nick Brandt captures children, siblings, and entire families who stand together and climb skyward like monuments or promontories—what the artist describes as “pedestals for those that in our society are typically unseen and unheard.”

The series marks the fourth chapter in an ongoing series called The Day May Break, which has taken Brandt around the world in search of visual stories illuminating the effects of the climate crisis.

a black-and-white photograph in the Jordanian desert of two people in black garments perched on a stack of boxes to create a monolith-like form

Brandt began the series in 2020, reflecting on myriad experiences of “limbo,” both in the midst of the pandemic and relating to the tenuous ecological balance of our planet. In an essay accompanying Chapter One of The Day May Break, Brandt writes:

Nearly twenty years ago, I started photographing the wild animals of Africa as an elegy to a disappearing world. After some (too many) years seeing the escalating environmental destruction, I felt an urgent need to move away from that kind of work and address the destruction in a much more direct way.

Brandt began the series in Zimbabwe and Kenya, focusing the first chapter on portrayals of both people and animals that have been impacted by environmental degradation and destruction. Every person he documented was deeply affected by the changing climate. “Some were displaced by cyclones that destroyed their homes,” Brandt says. “For some, like Kuda in Zimbabwe, or Robert and Nyaguthii in Kenya, it was more tragic: both of them lost two young children, swept away by the floods.”

For Chapter Two, Brandt traveled to the Senda Verde Animal Sanctuary in Bolivia, where wildlife affected by trafficking and habitat destruction are cared for. And for Chapter Three, subtitled SINK/RISE, he took his camera into the ocean off the coast of Fiji, focusing on individuals whose livelihoods have been impacted by rising sea levels. Plunging decrepit furniture onto the sea floor, individuals and families interact with one another entirely underwater.

a black-and-white photograph in the Jordanian desert of two people in black garments perched on a stack of boxes to create a monolith-like form

For the series’ newest addition, Chapter Four, subtitled The Echo of Our Voices, Brandt traveled to arid Jordan, one of the most water-scarce countries in the world. The dramatic black-and-white photos feature refugee families who fled the war in Syria. Perched on stacks of cubes, they transform into living monoliths, symbolic of resilience, surrounded by the rugged, sandy expanse.

The photographer says, “Living lives of continuous displacement largely due to climate change, they are forced to move their homes up to several times a year, moving to where there is available agricultural work—to wherever there has been sufficient rainfall to enable crops to grow.” Parents stand alongside their children; siblings embrace; and families are shown alternately gazing into the distance, turning to one another for comfort, or taking time to rest.

“This chapter is different from the first three chapters, both visually and emotionally: a show of connection and strength in the face of adversity; that when all else is lost, you still have each other,” Brandt says. Explore much more work on his website.

a black-and-white photograph in the Jordanian desert of a group of people in black garments perched on a stack of boxes to create a monolith-like form
a black-and-white photograph in the Jordanian desert of two children in black garments perched on a stack of boxes to create a monolith-like form
a black-and-white photograph in the Jordanian desert of a group of people in black garments perched on a stack of boxes to create a monolith-like form
a black-and-white photograph in the Jordanian desert of two children in black garments perched on a stack of boxes to create a monolith-like form
a black-and-white photograph in the Jordanian desert of a group of people in black garments perched on a stack of boxes to create a monolith-like form
a black-and-white photograph in the Jordanian desert of a group of people in black garments perched on a stack of boxes to create a monolith-like form

Do stories and artists like this matter to you? Become a Colossal Member today and support independent arts publishing for as little as $7 per month. The article Nick Brandt’s Photos Stress the Resilience of Syrian Refugees in the Face of the Climate Crisis appeared first on Colossal.

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Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

As enterprises accelerate their AI investments, the energy demand of AI’s power-hungry systems is worrying both the organisations footing the power bills as well as those tasked with supplying reliable electricity. From large language models to digital twins crunching massive datasets to run accurate simulations on complex city systems, AI workloads require a tremendous amount of processing power.

Of course, at the heart of this demand are data centres, which are evolving at breakneck speed to support AI’s growing potential. The International Energy Agency’s AI and Energy Special Report recently predicted that data centre electricity consumption will double by 2030, identifying AI as the most significant driver of this increase.1

The IT leaders examining these staggering predictions are rightly zeroing in on improving the efficiency of these powerful systems. However, the lack of expertise in navigating these intricate systems, combined with the rapidity of innovative developments, is causing heads to spin. Although savvy organisations are baking efficiency considerations into IT projects at the outset, and are looking across the entire AI life cycle for opportunities to minimise impact, many don’t know where to start or are leaving efficiency gains on the table. Most are underutilising the multiple IT efficiency levers that could be pulled to reduce the environmental footprint of their IT, such as using energy-efficient software languages and optimising data use to ensure maximum data efficiency of AI workloads. Among the infrastructure innovations, one of the most exciting advancements we are seeing in data centres is direct liquid cooling (DLC). Because the systems that are running AI workloads are producing more heat, traditional air cooling simply is not enough to keep up with the demands of the superchips in the latest systems.

DLC technology pumps liquid coolants through tubes in direct contact with the processors to dissipate heat and has been proven to keep high-powered AI systems running safely. Switching to DLC has had measurable and transformative impact across multiple environments, showing reductions in cooling power consumption by nearly 90% compared to air cooling in supercomputing systems2.

Thankfully, the benefits of DLC are now also extending beyond supercomputers to reach a broader range of higher-performance servers that support both supercomputing and AI workloads. Shifting DLC from a niche offering to a more mainstream option available across more compute systems is enabling more organisations to tap into the efficiency gains made possible by DLC, which in some cases has been shown to deliver up to 65% in annual power savings3. Combining this kind of cooling innovation with new and improved power-use monitoring tools, able report highly accurate and timely insights, is becoming critical for IT teams wanting to optimise their energy use. All this is a welcome evolution for organisations grappling with rising energy costs and that are carefully considering total cost of ownership (TCO) of their IT systems, and is an area of innovation to watch in the coming years.

In Australia, this kind of technical innovation is especially timely. In March 2024, the Australian Senate established the Select Committee on Adopting Artificial Intelligence to examine the opportunities and impacts of AI technologies4. Among its findings and expert submissions was a clear concern about the energy intensity of AI infrastructure. The committee concluded that the Australian Government legislate for increased regulatory clarity, greater energy efficiency standards, and increased investment in renewable energy solutions. For AI sustainability to succeed, it must be driven by policy to set actionable standards, which then fuel innovative solutions.

Infrastructure solutions like DLC will play a critical role in making this possible — not just in reducing emissions and addressing the energy consumption challenge, but also in supporting the long-term viability of AI development across sectors. We’re already seeing this approach succeed in the real world. For example, the Pawsey Supercomputing Centre in Western Australia has adopted DLC technology to support its demanding research workloads and, in doing so, has significantly reduced energy consumption while maintaining the high performance required for AI and scientific computing. It’s a powerful example of how AI data centres can scale sustainably — and telegraphs an actionable blueprint for others to follow.

Furthermore, industry leaders are shifting how they handle the heat generated by these large computing systems in order to drive further efficiency in AI. Successfully using heat from data centres for other uses will be a vital component to mitigating both overall energy security risks and the efficiency challenges that AI introduces. Data centres are being redesigned to capture by-product heat and use it as a valuable resource, rather than dispose of it as waste heat. Several industries are already benefiting from capturing data centre heat, such as in agriculture for greenhouses, or heating buildings in healthcare and residential facilities. This has been successfully implemented in the UK with the Isambard-AI supercomputer and in Finland with the LUMI supercomputer — setting the bar for AI sustainability best practice globally.

The message is clear: as AI becomes a bigger part of digital transformation projects, so too must the consideration for resource-efficient solutions grow. AI sustainability considerations must be factored into each stage of the AI life cycle, with solutions like DLC playing a part in in a multifaceted IT sustainability blueprint.

By working together with governments to set effective and actionable environmental frameworks and benchmarks, we can encourage the growth and evolution of the AI industry, spurring dynamic innovation in solutions and data centre design for the benefit of all.

1. AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works – News – IEA
2. https://www.hpe.com/us/en/newsroom/blog-post/2024/08/liquid-cooling-a-cool-approach-for-ai.html
3. HPE introduces next-generation ProLiant servers engineered for advanced security, AI automation and greater performance
4. https://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Adopting_Artificial_Intelligence_AI

Image credit: iStock.com/Dragon Claws

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