Sonja Bauman, 39, and Mariela Florez, 83, taking one of their regular walks in Plantation, Fla. The pair met through an online platform called Papa that provides "family on demand." (Photo by Sonja Bauman)
In 2020, Papa connected Bauman, the 39-year-old Floridian, with another woman in her mid-70s who lives alone and has very limited mobility. Bauman began driving her to doctor’s appointments and helping her with chores around the house. “When I’m not there, she doesn’t leave her apartment,” said Bauman. The two have gone to the gym together, and they walk slowly through the neighborhood, chatting so it feels less like exercise.
Parker was driven to start Papa by the problem of social isolation among seniors, exacerbated by the pandemic, but he believes users of all ages can benefit. “Many of our Pals feel more comfortable opening up with older members than their same-aged friends,” he said.
Other platforms aim for similar, in-person connections. Generation Tech unites teens with seniors for technology training. And Mon Ami, which provides case management software for aging and disability service providers, has an app that connects isolated older people with college-age volunteers.
Making new connections through video
Several new sites match you with strangers for real-time video chatting on various topics, such as finding common ground on political issues. Other video platforms focus on intergenerational connections.
S. Jay Olshansky, a gerontology professor at the University of Illinois-Chicago, recalls the first time he saw Hyunseung Lee, an 11-year-old from Seoul, through his computer screen. The kid was shy, but Olshansky, 67, encouraged him to ask questions. “Turns out, he was thirsting for this kind of interaction.”
They’d connected through Eldera, a platform that pairs mentors age 60 and up with mentees, using an algorithm, for video conversations. “The time and wisdom of older adults is the most important natural resource we can give future generations,” said Dana Griffin, Eldera's CEO. “Connecting through a screen is the opposite of social media.”
In weekly meetings, Olshansky noticed Lee’s unique interest in math. “There’s something special in you,” Olshansky told him. “How do we bring it to the surface?” He suggested Lee write a book on his favorite subject, and the preteen ran with it, cranking out 70 pages in two weeks. Lee has published his love letter to theorems on Amazon.
Hyunseung Lee, age 11, of Korea, and U.S. college professor Jay Olshanksy, 67, discuss math, strategy and Hyunsung's budding career as a book author during their video chats through a platform called Eldera. (Photo by Dana Palmer/Eldera)
Lee’s parents told Olshansky that their son has become more assertive — a recurring theme, Griffin said. “Confidence is the number one thing parents tell us about.” Since Eldera’s inception last year, the number of mentors has grown exponentially. Even so, Griffin said the waitlist for mentors typically numbers 200 kids.
Another site, Big and Mini, hosts video interactions between seniors and young adults; about 10,000 active users have joined since 2019, said co-founder Aditi Merchant.
Users often bring the benefits of their video interactions to their real-world relationships. Olshansky views Lee as an older version of his grandkids. “Eldera teaches me how to interact with them.” Lee, high on confidence, began instructing his classmates in math. Griffin noted that a group of Eldera mentors in Memphis, who met initially on Eldera, now take walks together in-person to trade ideas for helping each other’s Eldera kids solve problems in their schools and communities.
“We’ve evolved into a community for older adults who want to give back to the world,” said Griffin. Other new tools for connection take the form of virtual reality apps.
Connecting in virtual reality
During pandemic isolation, record numbers of people bought devices for virtual and augmented reality. Such gadgets can convince you that you’re hanging out with friends, even if they’re in another hemisphere. Lifelike simulations from miles away could be especially useful for meaningful interactions between people of different generations, since they’re often geographically segregated.
VR’s benefits require further study, but users report less social isolation and depression, according to MIT research. The immersive, 3-D experience is more compelling than FaceTime or Zoom. “It’s like the difference between a phone call and video call,” said Rick Robinson, Vice President of AARP’s Innovation Labs.
“When VR is designed right, the medium disappears,” said Jeremy Bailenson of Stanford.
Dana Pierce, a 56-year-old government employee in Indiana, got Meta's VR headset in May, 2021, thinking she’d enjoy it more than a new laptop. After many virtual group tours of exotic destinations, she has no regrets. Her adventures occur on Alcove, an app made by Robinson’s Innovation Labs. He co-created it with VR-company Rendever and sought input from people over age 50 to tailor it to their interests. “I’m an introvert,” said Pierce. “I’ve been more socially active since getting my headset than I am in real life.”
Tagging along with her to places like Paris are avatars representing real people around the world. She’s gotten to know VR users in their 70s, 80s and 90s, as well as younger people and some her own age. One is a new friend she plays chess with in relaxing nature settings. Another is her oldest son. He lives 90 minutes away but, earlier this year, Pierce welcomed him and his girlfriend to her virtual house on Alcove. They chatted in the living room decorated with family photos uploaded by Pierce. Then they took out a boat to go VR fishing — because why not — until 2 a.m.
“When VR is designed right, the medium disappears,” said Jeremy Bailenson, a communications professor who directs Stanford’s Virtual Human Interaction Lab. He’s teaching a class of 175 students entirely in VR. After months of covid isolation, the first time the class met, “there was a big catharsis. It really feels like you’re in a big crowd.” Like-minded people meet in VR for events such as comedy shows and creative writing meetups, while the Swedish pop group ABBA has performed this year as digital versions of themselves (“ABBA-tars”) during a virtual concert tour.
Karen Fingerman, a psychologist and director of the Texas Aging and Longevity Center at the University of Texas-Austin, supports the idea of VR for social connection, though she added that some people need it more than others. Hospitals and assisted-living facilities are using products such as Penumbra’s REAL I-Series and MyndVR to bring VR excursions to isolated patients and seniors. “If you’re in a bed or facility, this gives you something to talk about,” said Gita Barry, Penumbra’s executive vice president.
Pierce uses it on most days. She may see another adult son, who lives with her, less often as a result. But VR helps her manage real-world stressors, more than escaping them. After a long workday, she visits her back porch on Alcove, which overlooks a pond. “It’s my little retreat,” she said. “VR improves my mood. It’s added a lot to my life.”
Some seniors are using more than one technology. Olshansky and Lee discuss strategy while playing Internet chess. And Olshansky recently began using VR. He sees his sister, who lives far away, in a virtual beach house. “It’d be a great way to interact with Hyunseung,” he said. “I should get him a headset.”
A version of this article first appeared in The Washington Post on December 3, 2021.
Artificial Intelligence is already helping to grow some of the food we eat.
The chef-farmers choose from among 45 types of herb and leafy-greens seeds, plop them into grow trays, and a few weeks later they pick and serve. While success is predicated on at least a small amount of these humans’ care, the systems are autonomously surveilled round-the-clock from Babylon’s base of operations. And artificial intelligence is helping to run the show.
Babylon piloted the use of specialized cameras that take pictures in different spectrums to gather some less-obvious visual data about plants’ wellbeing and alert people if something seems off.
Imagine consistently perfect greens and tomatoes and strawberries, grown hyper-locally, using less water, without chemicals or environmental contaminants. This is the hefty promise of controlled environment agriculture (CEA) — basically, indoor farms that can be hydroponic, aeroponic (plant roots are suspended and fed through misting), or aquaponic (where fish play a role in fertilizing vegetables). But whether they grow 4,160 leafy-green servings per year, like one Babylon farm, or millions of servings, like some of the large, centralized facilities starting to supply supermarkets across the U.S., they seek to minimize failure as much as possible.
Babylon’s soilless hydroponic growing system
Courtesy Babylon Micro-Farms
Here, AI is starting to play a pivotal role. CEA growers use it to help “make sense of what’s happening” to the plants in their care, says Scott Lowman, vice president of applied research at the Institute for Advanced Learning and Research (IALR) in Virginia, a state that’s investing heavily in CEA companies. And although these companies say they’re not aiming for a future with zero human employees, AI is certainly poised to take a lot of human farming intervention out of the equation — for better and worse.
Most of these companies are compiling their own data sets to identify anything that might block the success of their systems. Babylon had already integrated sensor data into its farms to measure heat and humidity, the nutrient content of water, and the amount of light plants receive. Last year, they got a National Science Foundation grant that allowed them to pilot the use of specialized cameras that take pictures in different spectrums to gather some less-obvious visual data about plants’ wellbeing and alert people if something seems off. “Will this plant be healthy tomorrow? Are there things…that the human eye can't see that the plant starts expressing?” says Amandeep Ratte, the company’s head of data science. “If our system can say, Hey, this plant is unhealthy, we can reach out to [users] preemptively about what they’re doing wrong, or is there a disease at the farm?” Ratte says. The earlier the better, to avoid crop failures.
Natural light accounts for 70 percent of Greenswell Growers’ energy use on a sunny day.
Courtesy Greenswell Growers
IALR’s Lowman says that other CEA companies are developing their AI systems to account for the different crops they grow — lettuces come in all shapes and sizes, after all, and each has different growing needs than, for example, tomatoes. The ways they run their operations differs also. Babylon is unusual in its decentralized structure. But centralized growing systems with one main location have variabilities, too. AeroFarms, which recently declared bankruptcy but will continue to run its 140,000-square foot vertical operation in Danville, Virginia, is entirely enclosed and reliant on the intense violet glow of grow lights to produce microgreens.
Different companies have different data needs. What data is essential to AeroFarms isn’t quite the same as for Greenswell Growers located in Goochland County, Virginia. Raising four kinds of lettuce in a 77,000-square-foot automated hydroponic greenhouse, the vagaries of naturally available light, which accounts for 70 percent of Greenswell’s energy use on a sunny day, affect operations. Their tech needs to account for “outside weather impacts,” says president Carl Gupton. “What adjustments do we have to make inside of the greenhouse to offset what's going on outside environmentally, to give that plant optimal conditions? When it's 85 percent humidity outside, the system needs to do X, Y and Z to get the conditions that we want inside.”
AI will help identify diseases, as well as when a plant is thirsty or overly hydrated, when it needs more or less calcium, phosphorous, nitrogen.
Nevertheless, every CEA system has the same core needs — consistent yield of high quality crops to keep up year-round supply to customers. Additionally, “Everybody’s got the same set of problems,” Gupton says. Pests may come into a facility with seeds. A disease called pythium, one of the most common in CEA, can damage plant roots. “Then you have root disease pressures that can also come internally — a change in [growing] substrate can change the way the plant performs,” Gupton says.
AI will help identify diseases, as well as when a plant is thirsty or overly hydrated, when it needs more or less calcium, phosphorous, nitrogen. So, while companies amass their own hyper-specific data sets, Lowman foresees a time within the next decade “when there will be some type of [open-source] database that has the most common types of plant stress identified” that growers will be able to tap into. Such databases will “create a community and move the science forward,” says Lowman.
In fact, IALR is working on assembling images for just such a database now. On so-called “smart tables” inside an Institute lab, a team is growing greens and subjects them to various stressors. Then, they’re administering treatments while taking images of every plant every 15 minutes, says Lowman. Some experiments generate 80,000 images; the challenge lies in analyzing and annotating the vast trove of them, marking each one to reflect outcome—for example increasing the phosphate delivery and the plant’s response to it. Eventually, they’ll be fed into AI systems to help them learn.
For all the enthusiasm surrounding this technology, it’s not without downsides. Training just one AI system can emit over 250,000 pounds of carbon dioxide, according to MIT Technology Review. AI could also be used “to enhance environmental benefit for CEA and optimize [its] energy consumption,” says Rozita Dara, a computer science professor at the University of Guelph in Canada, specializing in AI and data governance, “but we first need to collect data to measure [it].”
The chef-farmers can choose from 45 types of herb and leafy-greens seeds.
Courtesy Babylon Micro-Farms
Any system connected to the Internet of Things is also vulnerable to hacking; if CEA grows to the point where “there are many of these similar farms, and you're depending on feeding a population based on those, it would be quite scary,” Dara says. And there are privacy concerns, too, in systems where imaging is happening constantly. It’s partly for this reason, says Babylon’s Ratte, that the company’s in-farm cameras all “face down into the trays, so the only thing [visible] is pictures of plants.”
Tweaks to improve AI for CEA are happening all the time. Greenswell made its first harvest in 2022 and now has annual data points they can use to start making more intelligent choices about how to feed, water, and supply light to plants, says Gupton. Ratte says he’s confident Babylon’s system can already “get our customers reliable harvests. But in terms of how far we have to go, it's a different problem,” he says. For example, if AI could detect whether the farm is mostly empty—meaning the farm’s user hasn’t planted a new crop of greens—it can alert Babylon to check “what's going on with engagement with this user?” Ratte says. “Do they need more training? Did the main person responsible for the farm quit?”
Lowman says more automation is coming, offering greater ability for systems to identify problems and mitigate them on the spot. “We still have to develop datasets that are specific, so you can have a very clear control plan, [because] artificial intelligence is only as smart as what we tell it, and in plant science, there's so much variation,” he says. He believes AI’s next level will be “looking at those first early days of plant growth: when the seed germinates, how fast it germinates, what it looks like when it germinates.” Imaging all that and pairing it with AI, “can be a really powerful tool, for sure.”
Researchers from the University of Cambridge have laid the foundations for growing synthetic embryos that could develop a beating heart, gut and brain.
The organoid revolution
In 1981, scientists discovered how to keep stem cells alive. This was a significant breakthrough, as stem cells have notoriously rigorous demands. Nevertheless, stem cells remained a relatively niche research area, mainly because scientists didn’t know how to convince the cells to turn into other cells.
Then, in 1987, scientists embedded isolated stem cells in a gelatinous protein mixture called Matrigel, which simulated the three-dimensional environment of animal tissue. The cells thrived, but they also did something remarkable: they created breast tissue capable of producing milk proteins. This was the first organoid — a clump of cells that behave and function like a real organ. The organoid revolution had begun, and it all started with a boob in Jello.
For the next 20 years, it was rare to find a scientist who identified as an “organoid researcher,” but there were many “stem cell researchers” who wanted to figure out how to turn stem cells into other cells. Eventually, they discovered the signals (called growth factors) that stem cells require to differentiate into other types of cells.
For a human embryo (and its organs) to develop successfully, there needs to be a “dialogue” between these three types of stem cells.
By the end of the 2000s, researchers began combining stem cells, Matrigel, and the newly characterized growth factors to create dozens of organoids, from liver organoids capable of producing the bile salts necessary for digesting fat to brain organoids with components that resemble eyes, the spinal cord, and arguably, the beginnings of sentience.
Synthetic embryos
Organoids possess an intrinsic flaw: they are organ-like. They share some characteristics with real organs, making them powerful tools for research. However, no one has found a way to create an organoid with all the characteristics and functions of a real organ. But Magdalena Żernicka-Goetz, a developmental biologist, might have set the foundation for that discovery.
Żernicka-Goetz hypothesized that organoids fail to develop into fully functional organs because organs develop as a collective. Organoid research often uses embryonic stem cells, which are the cells from which the developing organism is created. However, there are two other types of stem cells in an early embryo: stem cells that become the placenta and those that become the yolk sac (where the embryo grows and gets its nutrients in early development). For a human embryo (and its organs) to develop successfully, there needs to be a “dialogue” between these three types of stem cells. In other words, Żernicka-Goetz suspected the best way to grow a functional organoid was to produce a synthetic embryoid.
As described in the aforementioned Nature paper, Żernicka-Goetz and her team mimicked the embryonic environment by mixing these three types of stem cells from mice. Amazingly, the stem cells self-organized into structures and progressed through the successive developmental stages until they had beating hearts and the foundations of the brain.
“Our mouse embryo model not only develops a brain, but also a beating heart [and] all the components that go on to make up the body,” said Żernicka-Goetz. “It’s just unbelievable that we’ve got this far. This has been the dream of our community for years and major focus of our work for a decade and finally we’ve done it.”
If the methods developed by Żernicka-Goetz’s team are successful with human stem cells, scientists someday could use them to guide the development of synthetic organs for patients awaiting transplants. It also opens the door to studying how embryos develop during pregnancy.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.
