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Extreme heat is a killer and its impact is becoming far, far deadlier as the human-caused climate crisis supercharges temperatures, according to a new study, which estimates global warming tripled the number of deaths in the recent European heat wave.
For more than a week, temperatures in many parts of Europe spiked above 100 degrees Fahrenheit. Tourist attractions closed, wildfires ripped through several countries, and people struggled to cope on a continent where air conditioning is rare. https://tripscan.xyz
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The outcome was deadly. Thousands of people are estimated to have lost their lives, according to a first-of-its-kind rapid analysis study published Wednesday.
A team of researchers, led by Imperial College London and the London School of Hygiene and Tropical Medicine, looked at 10 days of extreme heat between June 23 and July 2 across 12 European cities, including London, Paris, Athens, Madrid and Rome.
They used historical weather data to calculate how intense the heat would have been if humans had not burned fossil fuels and warmed the world by 1.3 degrees Celsius. They found climate change made Europe’s heat wave 1 to 4 degrees Celsius (1.8 to 7.2 Fahrenheit) hotter.
The scientists then used research on the relationship between heat and daily deaths to estimate how many people lost their lives.
They found approximately 2,300 people died during ten days of heat across the 12 cities, around 1,500 more than would have died in a world without climate change. In other words, global heating was responsible for 65% of the total death toll.
“The results show how relatively small increases in the hottest temperatures can trigger huge surges in death,” the study authors wrote.
Heat has a particularly pernicious impact on people with underlying health conditions, such as heart disease, diabetes and respiratory problems.
People over 65 years old were most affected, accounting for 88% of the excess deaths, according to the analysis. But heat can be deadly for anyone. Nearly 200 of the estimated deaths across the 12 cities were among those aged 20 to 65.
Climate change was responsible for the vast majority of heat deaths in some cities. In Madrid, it accounted for about 90% of estimated heat wave deaths, the analysis found.
That insight is part of the value of having kids play with dolls that have disabilities, said Dr. Sian Jones, co-founder of the Toy Box Diversity Lab at Queen Margaret University in Edinburgh, Scotland.
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It’s based on a theory of mirrors and windows by Rudine Sims Bishop, a professor emerita of education at Ohio State University. Bishop realized that having diverse characters in books was good for all kids: It helps children from minority groups see themselves mirrored in the lives of book characters, and it gives kids a window into the lives of others, helping them build empathy.
Jones says that when kids play with dolls that have mobility challenges, for example, it helps them identify and understand the struggles of people with disabilities whom they meet in real life.
“Barbie in a wheelchair cannot use the doll’s house in their kindergarten classroom, so they have to build a ramp in order for her to be able to access the door to their doll’s house, for example,” said Jones, who lives with cerebral palsy.
When she started her work incorporating disabled dolls into school curricula, Jones said, there were few available for purchase. She mostly had to make them herself. Now, she can buy them from big companies like Lego and Mattel, “which is wonderful.”
Mazreku says the work to design the doll was well worth it. She recently got to bring one home to give to her 3-year-old daughter.
“I brought Barbie home to her and gave her a chance to interact with her and see her things,” Mazreku said. “And she looked at me and she said, ‘She looks like Mommy.’ And that was so special for me.”
Her daughter doesn’t have type 1 diabetes, she said. “But she sees me every day, living with it, representing and understanding and showing the world and wearing my devices confidently, and for her to see Barbie doing that was really special.”
“AI expends a lot of energy being polite, especially if the user is polite, saying ‘please’ and ‘thank you,’”
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Dauner explained. “But this just makes their responses even longer, expending more energy to generate each word.”
For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all.
Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task.
“Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,” Luccioni explained. https://tripscan.biz
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If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator.
Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said.
When possible, Luccioni recommends going back to basic sources — online encyclopedias and phone calculators — to accomplish simple tasks.
Why it’s hard to measure AI’s environmental impact
Putting a number on the environmental impact of AI has proved challenging.
The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models.
That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said.
Furthermore, many AI companies don’t share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI’s water consumption.
“You can’t really say AI consumes this much energy or water on average — that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said.
One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.
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Extreme heat is a killer and its impact is becoming far, far deadlier as the human-caused climate crisis supercharges temperatures, according to a new study, which estimates global warming tripled the number of deaths in the recent European heat wave.
For more than a week, temperatures in many parts of Europe spiked above 100 degrees Fahrenheit. Tourist attractions closed, wildfires ripped through several countries, and people struggled to cope on a continent where air conditioning is rare.
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The outcome was deadly. Thousands of people are estimated to have lost their lives, according to a first-of-its-kind rapid analysis study published Wednesday.
A team of researchers, led by Imperial College London and the London School of Hygiene and Tropical Medicine, looked at 10 days of extreme heat between June 23 and July 2 across 12 European cities, including London, Paris, Athens, Madrid and Rome.
They used historical weather data to calculate how intense the heat would have been if humans had not burned fossil fuels and warmed the world by 1.3 degrees Celsius. They found climate change made Europe’s heat wave 1 to 4 degrees Celsius (1.8 to 7.2 Fahrenheit) hotter.
The scientists then used research on the relationship between heat and daily deaths to estimate how many people lost their lives.
They found approximately 2,300 people died during ten days of heat across the 12 cities, around 1,500 more than would have died in a world without climate change. In other words, global heating was responsible for 65% of the total death toll.
“The results show how relatively small increases in the hottest temperatures can trigger huge surges in death,” the study authors wrote.
Heat has a particularly pernicious impact on people with underlying health conditions, such as heart disease, diabetes and respiratory problems.
People over 65 years old were most affected, accounting for 88% of the excess deaths, according to the analysis. But heat can be deadly for anyone. Nearly 200 of the estimated deaths across the 12 cities were among those aged 20 to 65.
Climate change was responsible for the vast majority of heat deaths in some cities. In Madrid, it accounted for about 90% of estimated heat wave deaths, the analysis found.
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That insight is part of the value of having kids play with dolls that have disabilities, said Dr. Sian Jones, co-founder of the Toy Box Diversity Lab at Queen Margaret University in Edinburgh, Scotland.
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Jones and her colleague Dr. Clare Uytman study how playing with dolls and toys with a range of physical challenges can reduce systemic inequality for disabled people.
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It’s based on a theory of mirrors and windows by Rudine Sims Bishop, a professor emerita of education at Ohio State University. Bishop realized that having diverse characters in books was good for all kids: It helps children from minority groups see themselves mirrored in the lives of book characters, and it gives kids a window into the lives of others, helping them build empathy.
Jones says that when kids play with dolls that have mobility challenges, for example, it helps them identify and understand the struggles of people with disabilities whom they meet in real life.
“Barbie in a wheelchair cannot use the doll’s house in their kindergarten classroom, so they have to build a ramp in order for her to be able to access the door to their doll’s house, for example,” said Jones, who lives with cerebral palsy.
When she started her work incorporating disabled dolls into school curricula, Jones said, there were few available for purchase. She mostly had to make them herself. Now, she can buy them from big companies like Lego and Mattel, “which is wonderful.”
Mazreku says the work to design the doll was well worth it. She recently got to bring one home to give to her 3-year-old daughter.
“I brought Barbie home to her and gave her a chance to interact with her and see her things,” Mazreku said. “And she looked at me and she said, ‘She looks like Mommy.’ And that was so special for me.”
Her daughter doesn’t have type 1 diabetes, she said. “But she sees me every day, living with it, representing and understanding and showing the world and wearing my devices confidently, and for her to see Barbie doing that was really special.”
“AI expends a lot of energy being polite, especially if the user is polite, saying ‘please’ and ‘thank you,’”
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Dauner explained. “But this just makes their responses even longer, expending more energy to generate each word.”
For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all.
Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task.
“Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,” Luccioni explained.
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If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator.
Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said.
When possible, Luccioni recommends going back to basic sources — online encyclopedias and phone calculators — to accomplish simple tasks.
Why it’s hard to measure AI’s environmental impact
Putting a number on the environmental impact of AI has proved challenging.
The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models.
That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said.
Furthermore, many AI companies don’t share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI’s water consumption.
“You can’t really say AI consumes this much energy or water on average — that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said.
One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.
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