You’ve reached your free article limit
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
Sign In or Create an Account.
By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy
Welcome to Heatmap
Thank you for registering with Heatmap. Climate change is one of the greatest challenges of our lives, a force reshaping our economy, our politics, and our culture. We hope to be your trusted, friendly, and insightful guide to that transformation. Please enjoy your free articles. You can check your profile here .
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Subscribe to get unlimited Access
Hey, you are out of free articles but you are only a few clicks away from full access. Subscribe below and take advantage of our introductory offer.
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Create Your Account
Please Enter Your Password
Forgot your password?
Please enter the email address you use for your account so we can send you a link to reset your password:
Five years from the emergence of the disease, the world — and the climate — is still grappling with its effects.

Five years ago this month, the novel coronavirus that would eventually become known as Covid-19 began to spread in Wuhan, China, kicking off a sequence of events that quite literally changed the world as we know it, the global climate not excepted.
The most dramatic effect of Covid on climate change wasn’t the 8% drop in annual greenhouse gas emissions caused by lockdowns and border closures in 2020, however. It wasn’t the crash in oil prices, which briefly went negative in April 2020. It wasn’t the delay of COP26 and of the United Nations Intergovernmental Panel on Climate Change’s Sixth Assessment Report. And it wasn’t, sadly, a legacy of green stimulus measures (some good efforts notwithstanding).
Rather, it was in the way the world’s governments (especially the largest and most powerful) responded to the virus, which undermined the very idea of multilateralism, climate action included. This took place along three main vectors: inertia on global financial rules, even as long-acknowledged failings turned catastrophic; a renaissance in industrial policy that may prove transformative for domestic fiscal policy; and, at the intersection of both, deterioration of what we might call geopolitics or “global solidarity.”
Evidence of this phenomenon can be found in nearly every aspect of the global order. The World Bank in October pointed to Covid as chief among a “polycrisis” of “multiple and interconnected crises occurring simultaneously, where their interactions amplify the overall impact.” Development gains have almost slowed to a halt. Extreme poverty has increased overall in low-income countries since 2014, after decades of improvement, according to the World Bank’s analysis.
None of this, however, was an inevitable effect of Covid. Poor countries got poorer, for the most part, because of norms and hard rules in global finance that they have little control over — what a group of researchers last year termed “financial subordination.”
To understand why, a brief history: Developing countries during the 2010s were seeking new avenues of finance as traditional sources like multilateral development bank loans, official development assistance, and commercial bank loans waned. Many turned to the U.S. dollar sovereign bond markets, and also to China; a few countries also turned to commodity traders like Glencore and Trafigura, taking on opaque debts to be repaid with their own oil and other commodities.
When the pandemic response shut down many kinds of economic activity in 2020, what World Bank researchers called a “fourth wave” of debt followed. After a continuous series of debt surges from 1970 to 1989, 1990 to 2001, and 2002 to 2009, global debt markets had been relatively stable for the preceding decade. What was different about this fourth wave was that it was largely in developing countries.
With Covid, the fourth wave turned into a tsunami. Countries everywhere were paralysed by the pandemic, but the poorest ones lost critical revenue from tourism, remittances, and some exports. On top of that, they suffered the same lockdowns and illness that depressed local economic activity and drained government budgets in many countries. Unlike rich countries, developing countries had limited ability to dip into reserves or raise money from the bond markets to keep their citizens safe and tide over those who lost work.
Wealthy countries and lenders did little to ameliorate this stress. A “Debt Servicing Suspension Initiative” facilitated by the G20 provided some relief for 46 countries; China participated, too, granting deferrals to some of its debtor countries. But private bondholders (who were earning returns as high as 9%) and multilateral banks did not. The debts still had to be paid, and by 2023, aggregate net capital flows were negative for developing countries — that is, more money flowed from poorer countries to richer ones than the other way around.
Numerous governments defaulted on their debts in the wake of Covid, including Ghana, Sri Lanka, Zambia, Ethiopia, and Suriname. But perhaps just as bad, many, many more countries continued to pay their debts by slashing their health and social welfare budgets just as they were needed most. Low- and middle-income countries spent more on debt servicing in 2022 than they spent on health in 2020, during the height of the pandemic.
Tensions between the U.S. and China, meanwhile, became even more overt around Covid, helped in part by accusations and recriminations over the source of the disease. The two great powers were themselves deeply changed. China emerged from its Covid Zero measures with public discontent at a nearly unprecedented pitch and its engines of economic growth — domestic infrastructure and residential property — faltering as vast local government debts became unmanageable. The country’s central government renewed its focus on an export-led growth model, but this time instead of cheap, low-tech consumer goods, it was semiconductors, solar panels, and electric vehicles.
It quickly became clear that the Biden administration would not be much less hawkish towards China than Trump’s was. It largely focused inwards, on tackling the disenfranchisement of formerly solid Democratic working class constituencies that Trump had exploited and Covid deepened. These were largely seen as an outcome of untrammelled free trade — especially with China. But Covid lockdowns and the rush to regain normalcy in the re-opening choked complex supply chains and logistics networks, driving up prices around the world and helping to spark a global inflation crisis that has yet to meaningfully abate in many parts of the world.
When Russia invaded Ukraine, energy prices shot up, particularly in those countries reliant on imported oil and natural gas. This shook the global fossil energy economy. Exports of liquified natural gas by the United States to Europe skyrocketed, as European countries desperately sought alternatives to Russian piped gas. Those same desperate Europeans also bought LNG shipments that had been bound for countries like Bangladesh and Pakistan, outbidding the poorer countries which then endured blackouts and further hits to their financial reserves as they struggled to match the new EU price.
Global energy price rises compounded the Covid supply-chain pressures and monetary policymakers decided hiking interest rates was unavoidable. While Russian troops tried to capture Kyiv in March of 2022, the U.S. Federal Reserve — perhaps the most powerful U.S. entity for the rest of the world — began hiking interest rates, taking them from just a quarter of a percent before the invasion to more than 5% by mid-2023. This strengthened the U.S. dollar, heaping more pressure on developing countries trying to pay dollar-denominated debts. Meanwhile, in rich and poor countries alike, the jump in living costs has helped drive backlashes against incumbents, and a surge in far-right populism.
Perhaps years ago, if we’d known that we’d see a spike in temperatures, droughts, and storms alongside a flood of cheap solar panels and EVs, technological breakthroughs in batteries, and a renewed interest in industrial policy, it might have seemed that more urgent climate action was assured. Instead, divisions have worsened. The agreement text from this year’s United Nations climate conference is actually slightly watered down from the last year’s statement on fossil fuel phaseout. A special conference on biodiversity Cali, Colombia, finished last month only when delegates had to catch flights home, and a desertification conference hosted by Saudi Arabia finished this month with no group statement.
Rachel Kyte, the UK special envoy for climate change, told an event hosted by the Overseas Development Institute think tank that even as it approached its 10-year anniversary, the 2015 Paris Agreement was more fragile than it had ever been. Countries like the UK, she said, had been inflicting “paper cuts” on developing countries for so long that the ill will was becoming impossible to wave away.
“[W]e’ve also cherry-picked which international laws we want to stand behind and then, which conflicts we believe the international law is important for and not,” she added. “And you sit in the climate negotiations and they know that you know that they know that you know.”
And yet a hopeful note sounding out of all of this has been the central role of clean energy in many countries’ responses to the increasingly fractious global landscape. Responses to Covid, as chaotic as they were, demonstrated that governments can take decisive action. Although the vast majority of Covid stimulus was climate-neutral at best; about a trillion dollars’ worth of investments really were green. Efforts to boost cycling gained ground in some cities, including in Paris, where bike trips now outnumber car trips in and around the city center.
Renewed interest in energy security sparked by the Ukraine invasion has been largely supportive of clean energy. Europe’s combined wind and solar generation rose 10% in the first year after the invasion as the bloc made its emissions reduction target more ambitious. Green industrial policy introduced by the Biden administration has encouraged other countries to see decarbonization as a competitive opportunity rather than an obligation. And China’s doubling down on its manufacturing of the “new three” — batteries, EVs, and solar panels — has created an oversupply that spurred rapid uptake of clean energy in many countries.
Fractures, however, are rife. Too many countries have steep tariffs on clean energy imports preventing them from taking advantage of cheap Chinese components, adding to other barriers to clean energy generation, such as the restrictive planning rules in Japan, where renewable energy generation lags; even wind power, where the country has ample potential, was virtually flat for the decade to 2022. Tariffs on imports to the U.S., while helping to build a domestic industry, also slow the rate of deployment. Globalized supply chains tend to be cheaper; a study in Nature estimated that they saved the U.S. up to $31 billion in the 12 years leading up to 2020, while China saved up to $45 billion, compared to a scenario in which domestic suppliers were prioritized. Even with its rapid expansion in clean tech manufacturing thanks to the Inflation Reduction Act, it will take years for the U.S. to catch up to China’s capabilities, while in the meantime, tariffs will slow down installations.
For those in wealthier and more powerful countries, there’s at least a chance of political shift. For countries under financial subordination, there are hard limits to what can be achieved.
Geopolitical alignment is an increasingly sensitive question for countries trying to avoid the pitfalls of appearing to be too close to either China or the U.S. Auto manufacturing has become the site of intense competition and tension, with the U.S. and EU putting punitive tariffs on Chinese EV imports to compensate for “state subsidies.” The introduction of the European carbon border adjustment mechanism this year, which penalizes high-carbon imports so they don’t undermine the continent’s carbon pricing regime, has introduced a new source of tension around trade, particularly for African countries that rely on exports to Europe and are nowhere near having their own carbon accounting scheme that is a prerequisite to avoiding the surcharges.
We may only know in retrospect, but the supply bottlenecks and inflationary surges associated with the Covid lockdowns and reopenings may have been a kind of masked transition phase into a new, more permanently supply-constrained world. Researchers at Potsdam Institute and the European Central Bank published new research in March showing that climate change impacts will raise general inflation by more than a percentage point by 2035.
The damage could be seen in the recent COP29 in Azerbaijan. Trust was close to an all-time low over negotiations for a new target for finance flows from wealthy to poor countries. After it ended with a controversially low $300 billion target, Fiona Harvey of the Guardian called it the second worst COP of the 18 she’s attended, surpassed only by the disastrous 2009 COP15 in Copenhagen, which ended with no agreement at all. It can also be seen in the rebound in emissions since 2021.
While some hopeful shifts have emerged from the Covid era, the increasingly febrile global atmosphere risks endangering our already slim chances of protecting the habitable atmosphere. As climate impacts worsen, pushing back on that axiom will be more difficult, but more urgent. Combating climate change is such a monumental undertaking that collaboration – in technology, manufacturing, knowledge, and diplomacy – will be vital.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
What 700 math problems say about the AI economy’s biggest open question
This is Heatmap Daily, an evening news digest written by our executive editor. Subscribe here.
Happy Monday and welcome back.
It’s been a big weekend: I’m fairly certain Saturday Night Live mentioned Heatmap’s data center polling in one of its Weekend Update segments over the weekend. Watch here.
There are 22 days to the midterm elections here in the United States. We’ll soon enter that pre-election wormhole where only national politics can break through. So today I wanted to look at a story that might, on its face, seem like it has nothing to do with climate or energy. And warning: It’s a little bit of a weird one.
Last week, OpenAI released what it described as the solution to more than 700 open problems in mathematics. Many of the problems, such as the Quasi-Riemann hypothesis, had gone unsolved for decades. Some of the solutions came with proofs written in the programming language Lean.
The release made a stir in part because OpenAI had reached the solutions by using an internal model — that is, a version of ChatGPT not yet open to the general public. In a statement, the Association for Human Mathematics lambasted OpenAI for using an internal model to do research, violating what it described as a precept of AI-driven math research. (I’ve since seen speculation that OpenAI may not have even meant to solve the problems, but gave them to the internal model as a test … and then got the answers.) It’s also not clear whether all of OpenAI’s 700 solutions are correct — in many cases the proofs are so intricate that mathematicians are still wrapping their heads around them.
“There are some sad stories related to their users getting scooped [and] conflicts of interest,” Levent Alpöge, a mathematician at Anthropic, posted on X. “It’s obviously the most significant moment in mathematical history.”
On Friday night, the UCLA mathematician Terence Tao gave a pre-planned lecture at Caltech about what he called “Math 2.0”; it considered the revolution the field had seemingly undergone in the previous few days. (He posted the slides to his blog over the weekend, and I’m using them to summarize his talk here.) For most of math’s history, he said, the field operated under “proof scarcity,” in which finding a solution to an open math problem and confirming it as true was “difficult and rare,” requiring “significant human expertise.”
But AI, it has turned out, is well suited to solving math problems. This is partly because math, like the large language models themselves, is entirely conceptual, so confirming a proof as true requires no recourse to the physical. But it’s also because math’s solutions are “objectively verifiable”: “There is broad consensus on what constitutes a correct and complete proof of a given problem,” and thanks to the existence of proof programming languages like Lean, they can even be checked by computer.
The end result is that math is now entering a world of “proof abundance,” he said.
That is, perhaps surprisingly, a problem for math’s practitioners, and it will mandate a new intellectual regime for the discipline. Mathematicians have often used open problems as “lighthouses,” Tao wrote, “not destinations to be reached … but useful guides to explore the mathematical landscape.” Mathematicians often learn more in the solving than in the solution, in other words. But if mathematicians can now generate shortcuts to math problems without knowing how they got there, or even how the problem works, then actual human mathematical understanding will suffer. (One way to understand this is that mathematicians are now dealing with the same problem that math teachers have faced since the invention of the pocket calculator: How do you confirm students actually understand the material? Except the world’s most elite mathematicians themselves are the students in question.)
This disconnect can pose its own AI alignment problems, Tao said, analogizing math to pharmaceuticals. Suppose an advanced AI found what appears to be a cure for cancer that can pass a stage 3 clinical trial: “After a large amount of compute, it produces a cocktail of previously unknown chemicals which it claims, when mixed and injected into a patient, will kill all their cancer cells,” he said. It even generates a programmatic proof of the cocktail’s effectiveness.
“Before injecting this cocktail into your bloodstream,” he asked, “would you find it reassuring to know that there is at least one human cancer expert who understands — even partially — the mechanism behind this cure?” If not, you can see mathematicians’ problem, confronted by a surfeit of proofs that seem to work, but nobody who can explain how or why they do.
Now, Tao’s analogy is somewhat peculiar because something like this actually does happen all the time in medicine: Doctors still don’t fully understand how many drugs work, including acetaminophen, SSRIs, and lithium. (That said, those compounds were identified by trial and error, not by a mechanical superintelligence.) But the broader situation that Tao is painting — as well as the crisis posed by OpenAI’s 700 proofs — get at a significant question with economic importance far beyond just math: Will AI solve the economy’s secular attention shortage or worsen it?
This question has greater import than it may seem — but let me qualify what I mean by “attention shortage.” Writing in 1971, the economist Herber Simon observed the sudden superabundance of information that had exploded in every economic domain. There were more facts, data, news articles, and opportunities than any individual or organization knew what to do with. He pointed out that this newfound “wealth” of information implied an insufficiency of something else: attention.
“What information consumes is rather obvious: it consumes the attention of its recipients,” he wrote in Designing Organizations for an Information-Rich World. “Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.”
He wrote this, of course, well before the advent of internet, smartphones, sensors, or networked cameras — all of which have worsened the problem. But in the ensuing half century, the economy has learned to deal (or at least intermittently manage) this secular scarcity of attention. Much of what we now call knowledge work is devoted to filtering, siphoning, processing, and otherwise attending to the information superabundance.
AI is, in theory, supposed to help address this same set of problems. AI is commodified attention — or, at least, that is its promise. (The most important machine learning paper of the past decade, after all, is entitled “Attention Is All You Need.”) Many AI products, such as Meta’s Muse, now want you to believe that by ceding control of your email, your calendar, your restaurant reservations, and your digital life to AI, you will gain an attentional edge. The AI will do the grunt-work of attending to boring things for you, and you will feel less overwhelmed. If this vision comes true, the economy’s mismatch of information and attention will prove to be a short-lived historical blip.
But the past week of math news and Tao’s “Math 2.0” regime suggest a different scenario is more likely, at least in the immediate near term. By allowing far faster and more automated information production, AI will create a new, more vicious, and even more abstract form of information overload. Every profession and intellectual discipline will be overwhelmed with new papers, ideas, observations, proofs, or choices. Yet the human understanding required to convert this new information into useful action will become even more scarce. In such a world, AI will not solve the economy’s attention shortage, but worsen it.
I’m not sure which world would be worse for humanity, to be candid. One world suggests the eventual automation of all human effort. But in Tao’s world, many of us might still have jobs — they will just involve even more filtering, sorting, and processing of an ever-deepening pile of automated idea generation than we do today.
And what is the connection to climate and energy? One easy connection might be to the permitting process: If you think a new transit line (at the local level) or transmission line (at the state or federal level) could be overwhelmed with procedural concerns 10 years ago, wait until you see what happens when information itself can be mechanically produced. But that is only one example of a more general problem. Soon, if not already, any process of providing input to an important policy question — on energy, decarbonization, or anything else — will be overwhelmed with facially high-quality analysis. It will be left to policy officials and elected leaders to sort through it.
This past weekend’s storms caused flooding and property damage up and down the coast — and it’s going to get worse.
California has around 3,400 miles of shoreline, ranging from the wild, foggy beaches of the North Coast to the sunbather-studded sands of Orange and San Diego counties. That’s a whole lot of border to share with the Pacific Ocean, especially when the water is as hot and tempestuous a neighbor as it is right now.
Just ask the city of Long Beach, which this weekend was on the receiving end of some Super El Niño mischief. Swells from the storm briefly dubbed Hurricane Rachel “annihilated” beachfront mansions and flooded city streets, causing pieces of the local boardwalk to “shred away.” “It’s never happened like this before,” one resident of 64 years told the New York Post.
But while things might look bad in California at the moment, they can still get much worse. One disaster modeler recently estimated the state could see as much as $3 billion in flooding and mudslide-related losses alone this winter — not to mention coastal erosion, king tides, and storm swell. Governor Gavin Newsom declared a state of emergency at the end of September, while many cities, including San Diego, have declared their own local emergencies.
El Niño will likely peak in December, meaning that towns and cities across the state have just a few remaining weeks to finalize projects, whether that means improving drainage in landslide-prone environments such as Rancho Palos Verdes or distributing NOAA weather radios in areas likely to lose power, as emergency managers are in Santa Cruz. The approaching winter storms, combined with El Niño, represent “a humbling reminder of the ongoing effects of climate change and the importance of emergency preparedness,” Laath Martin, the public affairs lead for the city of Long Beach, wrote to me in an email.
El Niño is a cyclical phenomenon, occurring when temperatures in a particular stretch of the Pacific Ocean rise half-a-degree Celsius above the average of the preceding 30 years. But there are signs these natural variations are happening less predictably because of climate change, and we know for sure that a warmer atmosphere makes the baseline for its impacts worse: king tides, Kelvin waves, and storm surge piggyback on top of rising sea levels to result in more severe coastal flooding and erosion. A warmer atmosphere also holds more water, which means more rain — perhaps 200% above normal — which, in turn, results in flooding and mudslides further inland, as well.
“Based on what I am seeing now, I am officially concerned,” Daniel Swain, a climate scientist at the University of California Agriculture and Natural Resources, said last week after reviewing the latest outlook. There’s a reason this year’s El Niño is being called a Godzilla.
In general, the weather pattern causes the jet stream to shift south in the winter, bringing wetter and snowier conditions to the lower U.S. while the northern part of the country stays drier and mild. (It’s also responsible for a weaker Atlantic hurricane season, as we’ve already seen this year.) In addition to El Niño-driven Kelvin waves, warm bulges of water that raise the sea level on the coast by as much as 18 inches, the state of California — and particularly southern California — sits directly in a storm track that will deliver “atmospheric rivers” of heavy rain to a region prone to landslides and flash floods.
In many parts of the state, that rain will test the best-made plans in addition to plans deferred. In Los Angeles, the Department of Sanitation and Environment, or LASAN, has told the City Council it has concerns about the ability of the aging wastewater pipes and plants to handle heavy rainfall associated with a supercharged El Niño. In San Diego, which requires some $3.3 billion to upgrade what is in some places a century-old wastewater system, emergency managers are preparing to work with what they have by clearing debris and brush that could back up in the drains, CalMatters reports. In both cases, the time required for systemwide repairs far exceeds the time remaining before the winter’s supercharged atmospheric rivers are due to arrive. (Rezende told me inland flooding affects more businesses and residents in San Diego than coastal flooding, since the population in the city is set further back from the coastline.)
The city of Roseville, northeast of Sacramento, by contrast, is leaning on decades of flood planning to get through the season. After a series of back-to-back storms in 1986 that killed 13 people and caused $400 million in damage, the city and FEMA invested $39 million to upgrade Roseville’s infrastructure, including widening streams and adding levees and stormwater bypass channels. With more accurate floodplain modeling that has “helped keep new construction at higher elevations,” Helen Dyda, the city manager’s public information officer told me that “less than 7% of the city is within a floodplain” today. Dyda added that the city prepares for winter storms every year — it has some 160 miles of creek shoreline, after all — but that the El Niño-specific preparations are, as a result, more similar to routine maintenance: “clearing more dense vegetation and fallen trees from key creek areas.”
Long Beach is caught somewhere in the middle. After swells from Hurricanes Marie and Polo hammered the city in September, Long Beach hastily developed a seven-point plan to strengthen its peninsula in the near and long term. It will also begin a $11.4 million dredging project this fall that will place 415,000 cubic yards of sand on the beach as a buffer zone. “While this effort will achieve a much-desired result, it will not stop the ocean from pulling sand from the peninsula with every wave, especially during the significant weather systems Long Beach continues to experience,” Martin, the city’s public affairs lead, wrote to me. “Back-passing will need to continue to return sand back to the peninsula each day until more permanent, long-term man-made and environmental solutions can be identified, permitted and implemented.”
In certain cities, preparations for the peak of El Niño overlap with ongoing repairs from the last bad storm season. In Santa Cruz County, the 2016 El Niño caused an estimated $9 million in damage, while many in the community of Pajaro are still recovering from the flood damage caused by a series of severe atmospheric rivers in 2023. “We have a list of hazards that the city is vulnerable to, and we plan for all of them not individually, but all together,” Meredith Albert, Santa Cruz’s emergency management manager, told me. She added that many of the city’s preparedness activities and El Niño initiatives, like urging the community to be prepared to spend 72 hours unsupported, overlap with other disasters it works year-round to prepare for, like earthquakes, landslides, and wildfires.
“El Niño turns up the volume a little bit, but it doesn’t necessarily change our hazard landscape,” is how Albert put it to me.
Santa Cruz has not declared a local state of emergency, and Albert told me they won’t until they “run out of resources.” Other cities, like San Diego, have declared one preemptively. “In the past, you’d have to go through a longer review if you wanted to make some headway on projects, and sometimes that would take many weeks or many months of permitting,” Rezende said. “With a state of emergency, we streamline that process and get projects in the queue.”
Both Rezende and Albert told me the governor's statewide emergency declaration mostly helps state agencies position themselves for a faster response or has implications for higher-level permitting processes. (In Carlsbad, for example, which has seven miles of badly eroding beach, just one mile is controlled by the city; the other six are managed by the State Parks.) The state has also teamed up with ICEYE, a satellite imaging company, to receive information about flooding even in the dark or through rain clouds.
No state of emergency, though, can make it so a city can replace a century-old sewer system by Christmas or reengineer a beach by the time January’s storms begin to make landfall. But if a Godzilla analogy fits the onslaught of a super El Niño, it also offers a classic disaster-movie lesson on how to survive it.
Albert’s advice for how to prepare? Ask a neighbor for a cup of sugar. Take their dog for a walk. Build a relationship that could prevent a tragedy. “We know that our city will be cut off for at least a couple of days,” she told me of a hypothetical major disaster, referring back to Santa Cruz’s experience after the 1989 Loma Prieta earthquake, which cut off the city’s power, communication, and supply lines. “And we also know that we can’t build those relationships during the disaster. We’re trying to build them before.”
The city is doing a lot to prepare for the storm, she said. “But the question is also, what are all of us doing?” Albert went on. “You know better than I do, at the city level, who’s not going to receive that alert,” whether that be an elderly or unhoused neighbor or a nonnative English speaker who might not receive or understand emergency communications.
“Check in on a neighbor” is easier said than done — active engagement and connection to one’s community is trending downward in most parts of the U.S. But the people and places that bounce back from disaster and tragedy are almost uniformly the ones that look after each other. Borrowing a cup of sugar, to this introvert, sounds like a nightmare. But there’s never been a better time than a Godzilla El Niño to bake a poorly resourced cake.
Heatmap News is looking for an ambitious, energetic senior editor to join our growing newsroom.
The senior editor will report to the deputy editor of the website and will be tasked with assisting in running all aspects of our coverage. This individual will be the primary editor on many of the site’s stories, including breaking news, features, and long-term projects, on topics ranging from permitting reform to decarbonized fuels to greenhouse gas accounting to the electric vehicle market. This person will also play a role in overseeing and furthering our cross-platform efforts such as newsletters, events, and podcasts. Additional duties will include managing and maintaining the site’s social media presence and digital production on stories, newsletters, and podcasts.
Candidates should be intellectually curious news junkies with a deep interest in climate change and the energy transition. They should have a proven ability to work in a fast-paced digital newsroom, spot great angles, line edit stories, and change hats quickly as needed. They should also be responsible, reliable, and a good colleague.
Candidates should have 5+ years experience editing for a digital publication. A background in climate or energy coverage is an obvious plus, but compelling candidates from other verticals, particularly politics and business, will also be considered. Heatmap is a fully remote workplace, so candidates from all U.S. locales are encouraged to apply.
Above all, candidates should be passionate about Heatmap’s mission and absolutely thrilled about building something from the ground up.
The salary minimum is $100,000 and the maximum is $120,000. Competitive benefits, unlimited paid time off, and a generous equity plan, which gives employees a real stake in the company, are also offered. This position is remote.
Interested candidates should send a brief cover letter and resume to editors@heatmap.news with the subject line ‘Senior Editor Application.’
Heatmap News is a media platform focused on the energy transition.
Heatmap News is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by applicable law.
To sample Heatmap’s work, poke around the site and sign up for our newsletter: