Want to Strengthen American Democracy? The Science of Collaboration Can Help
This article is part of the magazine, "The Future of Science In America: The Election Issue," co-published by LeapsMag, the Aspen Institute Science & Society Program, and GOOD.
American politics has no shortage of ailments. Many do not feel like their voice matters amid the money and influence amassed by corporations and wealthy donors. Many doubt whether elected officials and bureaucrats can or even want to effectively solve problems and respond to citizens' needs. Many feel divided both physically and psychologically, and uncomfortable (if not scared) at the prospect of building new connections across lines of difference.
Strengthening American democracy requires countering these trends. New collaborations between university researchers and community leaders such as elected officials, organizers, and nonprofit directors can help. These collaborations can entail everything from informal exchanges to co-led projects.
But there's a catch. They require that people with diverse forms of knowledge and lived experience, who are often strangers, choose to engage with one another. We know that strangers often remain strangers.
That's why a science of collaboration that centers the inception question is vital: When do diverse individuals choose to work together in the first place? How can we design institutions that encourage beneficial collaborations to arise and thrive? And what outcomes can occur?
How Collaborations Between Researchers and Community Leaders Can Help
First consider the feeling of powerlessness. Individual action becomes more powerful when part of a collective. For ordinary citizens, voting and organizing are arguably the two most impactful forms of collective action, and as it turns out there is substantial research on how to increase turnout and how to build powerful civic associations. Collaborations between researchers familiar with that work and organizers and nonprofit leaders familiar with a community's context can be especially impactful.
For example, in 2019, climate organizers with a nonpartisan group in North Carolina worked with a researcher who studies organizing to figure out how to increase volunteer commitment—that is, how to transform volunteers who only attend meetings into leaders who take responsibility for organizing others. Together, they designed strategies that made sense for the local area. Once implemented, these strategies led to a 161% year-over-year increase in commitment. More concretely, dozens of newly empowered volunteers led events to raise awareness of how climate change was impacting the local community and developed relationships with local officials and business owners, all while coming to see themselves as civic leaders. This experience also fed back into the researcher's work, motivating the design of future studies.
Or consider how researchers and local elected officials can collaborate and respond to novel challenges like the coronavirus. For instance, in March 2020, one county in Upstate New York suddenly had to figure out how to provide vital services like internet and health screenings for residents who could no longer visit shuttered county offices. They turned to a researcher who knew about research on mobile vans. Together, they spoke about the benefits and costs of mobile vans in general, and then segued into a more specific conversation about what routings and services would make sense in this specific locale. Their collaboration entailed a few conversations leading up to the county's decision, and in the end the county received helpful information and the researcher learned about new implementation challenges associated with mobile vans.
In April, legislators in another Upstate New York county realized they needed honest, if biting, feedback from local mayors about their response to the pandemic. They collaborated with researchers familiar with survey methodology. County legislators supplied the goals and historical information about fraught county–city relationships, while researchers supplied evidence-based techniques for conducting interviews in delicate contexts. These interviews ultimately revealed mayors' demand for more up-to-date coronavirus information from the county and also more county-led advocacy at the state level.
To be sure, there are many situations in which elected officials' lack of information is not the main hurdle. Rather, they need an incentive to act. Yet this is another situation in which collaborations between university researchers and community leaders focused on evidence-based, context-appropriate approaches to organizing and voter mobilization could produce needed pressure.
This brings me to the third way in which collaborations between researchers and community leaders can strengthen American democracy. They entail diverse people working to develop a common interest by building new connections across lines of difference. This is a core democratic skill that withers in the absence of practice.
In addition to credibility, we've learned that potential collaborators also care about whether others will be responsive to their goals and constraints, understand their point of view, and will be enjoyable to interact with.
The Science of Collaboration
The previous examples have one thing in common: a collaboration actually took place.
Yet that often does not happen. While there are many reasons why collaborations between diverse people should arise we know far less about when they actually do arise.
This is why a science of collaboration centered on inception is essential. Some studies have already revealed new insights. One thing we've learned is that credibility is important, but often not enough. By credibility, I mean that people are more likely to collaborate when they perceive each other to be trustworthy and have useful information or skills to share. Potential collaborators can signal their credibility by, for instance, identifying shared values and mentioning relevant previous experiences. One study finds that policymakers are more interested in collaborating with researchers who will share findings that are timely and locally relevant—that is, the kind that are most useful to them.
In addition to credibility, we've learned that potential collaborators also care about whether others will be responsive to their goals and constraints, understand their point of view, and will be enjoyable to interact with. For instance, potential collaborators can explicitly acknowledge that they know the other person is busy, or start with a question rather than a statement to indicate being interested. One study finds that busy nonprofit leaders are more likely to collaborate with researchers who explicitly state that (a) they are interested in learning about the leaders' expertise, and (b) they will efficiently share what they know. Another study underscores that potential collaborators need to feel like they know how to interact—that is, to feel like they have a "script" for what's appropriate to say during the interaction.
We're also learning that institutions (such as matchmaking organizations) can reduce uncertainty about credibility and relationality, and also help collaborations start off on the right foot. They are a critical avenue for connecting strangers. For instance, brokers can use techniques that increase the likelihood that diverse people feel comfortable sharing what they know, raising concerns, and being responsive to others.
Looking Ahead
A science of collaboration that centers the inception question is helpful on two levels. First, it provides an evidence base for how to effectively connect diverse people to work together. Second, when applied to university researchers and community leaders, it can produce collaborations that strengthen American democracy. Moreover, these collaborations are easily implemented, especially when informal and beginning as a conversation or two (as in the mobile vans example).
Existing research on the science of collaboration has already yielded actionable insights, yet we still have much to learn. For instance, we need to better understand the latent demand. Interviews that ask a wide variety of community leaders and researchers who have not previously collaborated to talk about why doing so might be helpful would be enlightening. They could also be a useful antidote to the narrative of conflict that often permeates discussions about the role of science in American politics.
In addition, we need to learn more about the downstream consequences of these collaborations, such as whether new networks arise that include colleagues of the initial collaborators. Here, it would be helpful to study the work of brokers – how they introduce people to each other, how much they follow up, and the impact of those decisions.
Ultimately, expanding the evidence base of the science of collaboration, and then directly applying what we learn, will provide important new and actionable avenues for strengthening American democracy.
[Editor's Note: To read other articles in this special magazine issue, visit the beautifully designed e-reader version.]
A new injection is helping stave off RSV this season
In November 2021, Mickayla Wininger’s then one-month-old son, Malcolm, endured a terrifying bout with RSV, the respiratory syncytial (sin-SISH-uhl) virus—a common ailment that affects all age groups. Most people recover from mild, cold-like symptoms in a week or two, but RSV can be life-threatening in others, particularly infants.
Wininger, who lives in southern Illinois, was dressing Malcolm for bed when she noticed what seemed to be a minor irregularity with this breathing. She and her fiancé, Gavin McCullough, planned to take him to the hospital the next day. The matter became urgent when, in the morning, the boy’s breathing appeared to have stopped.
After they dialed 911, Malcolm started breathing again, but he ended up being hospitalized three times for RSV and defects in his heart. Eventually, he recovered fully from RSV, but “it was our worst nightmare coming to life,” Wininger recalled.
It’s a scenario that the federal government is taking steps to prevent. In July, the Food and Drug Administration approved a single-dose, long-acting injection to protect babies and toddlers. The injection, called Beyfortus, or nirsevimab, became available this October. It reduces the incidence of RSV in pre-term babies and other infants for their first RSV season. Children at highest risk for severe RSV are those who were born prematurely and have either chronic lung disease of prematurity or congenital heart disease. In those cases, RSV can progress to lower respiratory tract diseases such as pneumonia and bronchiolitis, or swelling of the lung’s small airway passages.
Each year, RSV is responsible for 2.1 million outpatient visits among children younger than five-years-old, 58,000 to 80,000 hospitalizations in this age group, and between 100 and 300 deaths, according to the Centers for Disease Control and Prevention. Transmitted through close contact with an infected person, the virus circulates on a seasonal basis in most regions of the country, typically emerging in the fall and peaking in the winter.
In August, however, the CDC issued a health advisory on a late-summer surge in severe cases of RSV among young children in Florida and Georgia. The agency predicts "increased RSV activity spreading north and west over the following two to three months.”
Infants are generally more susceptible to RSV than older people because their airways are very small, and their mechanisms to clear these passages are underdeveloped. RSV also causes mucus production and inflammation, which is more of a problem when the airway is smaller, said Jennifer Duchon, an associate professor of newborn medicine and pediatrics in the Icahn School of Medicine at Mount Sinai in New York.
In 2021 and 2022, RSV cases spiked, sending many to emergency departments. “RSV can cause serious disease in infants and some children and results in a large number of emergency department and physician office visits each year,” John Farley, director of the Office of Infectious Diseases in the FDA’s Center for Drug Evaluation and Research, said in a news release announcing the approval of the RSV drug. The decision “addresses the great need for products to help reduce the impact of RSV disease on children, families and the health care system.”
Sean O’Leary, chair of the committee on infectious diseases for the American Academy of Pediatrics, says that “we’ve never had a product like this for routine use in children, so this is very exciting news.” It is recommended for all kids under eight months old for their first RSV season. “I would encourage nirsevimab for all eligible children when it becomes available,” O’Leary said.
For those children at elevated risk of severe RSV and between the ages of 8 and 19 months, the CDC recommends one dose in their second RSV season.
The drug will be “really helpful to keep babies healthy and out of the hospital,” said O’Leary, a professor of pediatrics at the University of Colorado Anschutz Medical Campus/Children’s Hospital Colorado in Denver.
An antiviral drug called Synagis (palivizumab) has been an option to prevent serious RSV illness in high-risk infants since it was approved by the FDA in 1998. The injection must be given monthly during RSV season. However, its use is limited to “certain children considered at high risk for complications, does not help cure or treat children already suffering from serious RSV disease, and cannot prevent RSV infection,” according to the National Foundation for Infectious Diseases.
Until the approval this summer of the new monoclonal antibody, nirsevimab, there wasn’t a reliable method to prevent infection in most healthy infants.
Both nirsevimab and palivizumab are monoclonal antibodies that act against RSV. Monoclonal antibodies are lab-made proteins that mimic the immune system’s ability to fight off harmful pathogens such as viruses. A single intramuscular injection of nirsevimab preceding or during RSV season may provide protection.
The strategy with the new monoclonal antibody is “to extend protection to healthy infants who nonetheless are at risk because of their age, as well as infants with additional medical risk factors,” said Philippa Gordon, a pediatrician and infectious disease specialist in Brooklyn, New York, and medical adviser to Park Slope Parents, an online community support group.
No specific preventive measure is needed for older and healthier kids because they will develop active immunity, which is more durable. Meanwhile, older adults, who are also vulnerable to RSV, can receive one of two new vaccines. So can pregnant women, who pass on immunity to the fetus, Gordon said.
Until the approval this summer of the new monoclonal antibody, nirsevimab, there wasn’t a reliable method to prevent infection in most healthy infants, “nor is there any treatment other than giving oxygen or supportive care,” said Stanley Spinner, chief medical officer and vice president of Texas Children’s Pediatrics and Texas Children’s Urgent Care.
As with any virus, washing hands frequently and keeping infants and children away from sick people are the best defenses, Duchon said. This approach isn’t foolproof because viruses can run rampant in daycare centers, schools and parents’ workplaces, she added.
Mickayla Wininger, Malcolm’s mother, insists that family and friends wear masks, wash their hands and use hand sanitizer when they’re around her daughter and two sons. She doesn’t allow them to kiss or touch the children. Some people take it personally, but she would rather be safe than sorry.
Wininger recalls the severe anxiety caused by Malcolm's ordeal with RSV. After returning with her infant from his hospital stays, she was terrified to go to sleep. “My fiancé and I would trade shifts, so that someone was watching over our son 24 hours a day,” she said. “I was doing a night shift, so I would take caffeine pills to try and keep myself awake and would end up crashing early hours in the morning and wake up frantically thinking something happened to my son.”
Two years later, her anxiety has become more manageable, and Malcolm is doing well. “He is thriving now,” Wininger said. He recently had his second birthday and "is just the spunkiest boy you will ever meet. He looked death straight in the eyes and fought to be here today.”
Story by Big Think
For most of history, artificial intelligence (AI) has been relegated almost entirely to the realm of science fiction. Then, in late 2022, it burst into reality — seemingly out of nowhere — with the popular launch of ChatGPT, the generative AI chatbot that solves tricky problems, designs rockets, has deep conversations with users, and even aces the Bar exam.
But the truth is that before ChatGPT nabbed the public’s attention, AI was already here, and it was doing more important things than writing essays for lazy college students. Case in point: It was key to saving the lives of tens of millions of people.
AI-designed mRNA vaccines
As Dave Johnson, chief data and AI officer at Moderna, told MIT Technology Review‘s In Machines We Trust podcast in 2022, AI was integral to creating the company’s highly effective mRNA vaccine against COVID. Moderna and Pfizer/BioNTech’s mRNA vaccines collectively saved between 15 and 20 million lives, according to one estimate from 2022.
Johnson described how AI was hard at work at Moderna, well before COVID arose to infect billions. The pharmaceutical company focuses on finding mRNA therapies to fight off infectious disease, treat cancer, or thwart genetic illness, among other medical applications. Messenger RNA molecules are essentially molecular instructions for cells that tell them how to create specific proteins, which do everything from fighting infection, to catalyzing reactions, to relaying cellular messages.
Johnson and his team put AI and automated robots to work making lots of different mRNAs for scientists to experiment with. Moderna quickly went from making about 30 per month to more than one thousand. They then created AI algorithms to optimize mRNA to maximize protein production in the body — more bang for the biological buck.
For Johnson and his team’s next trick, they used AI to automate science, itself. Once Moderna’s scientists have an mRNA to experiment with, they do pre-clinical tests in the lab. They then pore over reams of data to see which mRNAs could progress to the next stage: animal trials. This process is long, repetitive, and soul-sucking — ill-suited to a creative scientist but great for a mindless AI algorithm. With scientists’ input, models were made to automate this tedious process.
“We don’t think about AI in the context of replacing humans,” says Dave Johnson, chief data and AI officer at Moderna. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
All these AI systems were in put in place over the past decade. Then COVID showed up. So when the genome sequence of the coronavirus was made public in January 2020, Moderna was off to the races pumping out and testing mRNAs that would tell cells how to manufacture the coronavirus’s spike protein so that the body’s immune system would recognize and destroy it. Within 42 days, the company had an mRNA vaccine ready to be tested in humans. It eventually went into hundreds of millions of arms.
Biotech harnesses the power of AI
Moderna is now turning its attention to other ailments that could be solved with mRNA, and the company is continuing to lean on AI. Scientists are still coming to Johnson with automation requests, which he happily obliges.
“We don’t think about AI in the context of replacing humans,” he told the Me, Myself, and AI podcast. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
Moderna, which was founded as a “digital biotech,” is undoubtedly the poster child of AI use in mRNA vaccines. Moderna recently signed a deal with IBM to use the company’s quantum computers as well as its proprietary generative AI, MoLFormer.
Moderna’s success is encouraging other companies to follow its example. In January, BioNTech, which partnered with Pfizer to make the other highly effective mRNA vaccine against COVID, acquired the company InstaDeep for $440 million to implement its machine learning AI across its mRNA medicine platform. And in May, Chinese technology giant Baidu announced an AI tool that designs super-optimized mRNA sequences in minutes. A nearly countless number of mRNA molecules can code for the same protein, but some are more stable and result in the production of more proteins. Baidu’s AI, called “LinearDesign,” finds these mRNAs. The company licensed the tool to French pharmaceutical company Sanofi.
Writing in the journal Accounts of Chemical Research in late 2021, Sebastian M. Castillo-Hair and Georg Seelig, computer engineers who focus on synthetic biology at the University of Washington, forecast that AI machine learning models will further accelerate the biotechnology research process, putting mRNA medicine into overdrive to the benefit of all.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.