In the early days of summer, backyards come to life. Warmer temperatures transform spring buds into lush greenery, coax insects from their winter slumber, and invite newborn animals to explore their surroundings on wobbling legs or wings.
With smartphones, documenting this emerging wildlife has never been easier. These days, all the tools you need to become a backyard naturalist fit right in the palm of your hand. And while June is an especially good time to start, you can use your phone to observe organisms, identify species, and record sightings any time of year, no matter your location. It’s more than just a hobby—scientists can use your data to conduct important research, allowing you to make contributions as a citizen scientist.
“Twenty years ago, if a researcher wanted to understand an ecological pattern, the main way to do that was to go out and collect data,” said Corey Callaghan, a global change ecologist at the University of Florida. “But now with this smartphone revolution over the last 20 years, the number of observations recorded by everyday people—whether they’re really into birding or just interested in the animals in their backyard—has exponentially increased the amount of data available to use,” he said.
Gillian Bowser, a wildlife ecologist at Colorado State University, also recalls a time when a lack of digital tools limited research in her field. “The data now is so much more accessible because of the smartphone,” she said. These devices are particularly useful because they record the precise location of each sighting and allow users to easily upload data to open-source platforms, she said.
Gizmodo turned to Bowser and Callaghan for expert advice on becoming a backyard naturalist. They shared their favorite apps, pro tips, and explained how researchers like them use the data you collect to support science.
Step 1: Download iNaturalist
Numerous apps can help you document wildlife, but some are easier to use than others. For those who are just getting started as backyard naturalists, iNaturalist is “a really good entry point,” Callaghan said.
This free app is available for both iOS and Android. It allows you to record observations, identify species, and share your data with other naturalists all in one place. Unlike specialized apps such as eBird or Picture Insect, iNaturalist can document any kind of organism. Once you download it, all you have to do is set up an account with your email address.
Now, you’re ready to start snapping photos of plants, birds, pesky neighborhood squirrels, and even that weird-looking bug in your bathroom. You name it—the iNaturalist community can probably identify it. The app does this through crowdsourcing, which means users work together to identify species. This fosters collaboration among experts, novices, and everyone in between.
For extra help identifying species, you can also download iNaturalist’s free companion app, Seek. Also available for both iOS and Android, Seek uses artificial intelligence to analyze images and determine which species you observed. “Simply point your phone—with Seek turned on—at whatever, and it’ll identify it for you,” Bowser said. The app will also provide background information about the species, such as whether it’s native to your area, she added.
Both Bowser and Callaghan recommend getting comfortable with iNaturalist before you start playing around with less beginner-friendly apps like eBird, eButterfly, or iSpy. Building a knowledge base through iNaturalist will help you progress to more specialized apps, they said.
Step 2: Start exploring

Charge your phone, put on some sunscreen, and pull your socks up over your pants, because it’s time to observe some wildlife. Don’t worry, you don’t have to go trekking into the wilderness. There are plenty of fascinating species to be found in your backyard, local park, or even your window box. iNaturalist and Seek work well anywhere, including dense urban jungles and indoor spaces.
Rule number one: “Don’t be discouraged,” Callaghan said. When you’re first starting out, it can be especially difficult to snap photos of small, fast-moving creatures like a field mouse or a dragonfly. “Patience is one of my biggest tips,” he said. You may not be able to take a clear picture of a tiny bee buzzing by with your smartphone, but there’s plenty of scientific value in documenting plants or larger, slower-moving animals, too.
That said, there are things you can do to make sure that you’re generating good data. To get as clear a photo as possible, make sure your shot is in-focus and well-lit. You can tap your finger on the screen to bring your subject into focus, use your backpack or your hand to shade it if the Sun is too bright, or use the flash to illuminate it—though this may scare off some animals.
You’ll also want to get as close as you can to your subject while still prioritizing safety. It’s okay to get up close and personal with a daisy or an earthworm, but bears, tick-carrying deer, or nesting birds—not so much. When in doubt, stay farther away. If you can do so safely, try to photograph your subject from multiple angles to capture all of its features.
Finally, add some field notes to your observation. Some examples include a specific description of where the sighting occurred, how a plant smells or feels, or the number of individuals you saw. The more information you provide, the easier it will be to identify the species. More details also give scientists more data points to use.
This may sound challenging, but you don’t have to go it alone. Callaghan recommends checking out events hosted by your local Audubon chapter, like nature walks. Bowser noted that iNaturalist also lets users join or organize group projects. This pools your observations with others under a common theme, helping you connect with users who share your interests or live in your area.
If getting outside isn’t possible for you, you can document the species living inside your home. There’s even an iNaturalist project specifically for indoor observations called Never Home Alone: The Wild Life of Homes. There’s great value in “even just knowing what we share our everyday urban lives with,” Callaghan said.
Step 3: Share your data

Bowser recommends iNaturalist “because of its ability internally to get things to research.” When you upload an observation, it becomes data that scientists can use to answer questions like, “Are butterflies declining in New York City?” she explained.
By default, all images, audio recordings, and observation data you upload will be given a Creative Commons license that allows others to use your content for non-commercial purposes, as long as they credit you. It also lets iNaturalist export your data to research partners such as the Global Biodiversity Information Facility (GBIF) so that scientists can access it.
You can choose not to license some or all of your data, which means others will need your explicit permission to use it. To change the default licenses for your account, sign into the iNaturalist website and navigate to Account Settings, then Content & Display, and scroll down until you see Licensing.
As ecologists, Bowser and Callaghan use citizen science data to understand biodiversity patterns in space and time. Anyone can collect data that helps scientists track and conserve species. You may even discover a new one. The iNaturalist Montana Moth Project, for example, has identified some 4,000 previously unknown species, according to Bowser.
“There are millions of species that are undefined,” she said.
While conducting citizen science is incredibly valuable, Callaghan stresses that apps like iNaturalist are designed to be fun. “Use them for what you want,” he said. “Go out and learn about what we share our backyards with.”
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![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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