<script type="application/ld+json">{"@context":"https://schema.org","@graph":[{"@type":"WebPage","@id":"https://www.marvinuehara.com/research#webpage","url":"https://www.marvinuehara.com/research","name":"Research – Stigmergy Network Theory | Marvin Uehara","description":"Marvin Uehara's research page presenting the origins and implications of the Stigmergy Network Theory: how digital traces left by individuals enable leaderless collective action, social change, and crowdsourced risk management online.","inLanguage":"en","isPartOf":{"@id":"https://www.marvinuehara.com/#website"},"author":{"@id":"https://www.marvinuehara.com/#person"},"about":{"@id":"https://www.marvinuehara.com/research#theory"},"speakable":{"@type":"SpeakableSpecification","cssSelector":["h1","p"]}},{"@type":"Person","@id":"https://www.marvinuehara.com/#person","name":"Marvin Uehara","url":"https://www.marvinuehara.com/","email":"muehara@temple.edu","jobTitle":"Interdisciplinary Scholar, Instructor, and Researcher","description":"Marvin Uehara is a global educator and researcher born in Brazil, based in Miyazaki, Japan. He developed the Stigmergy Network Theory to explain how digital traces left by individuals drive emergent collective action and social change without centralized coordination. His research is rooted in personal experience with risk and community safety, and spans AI literacy, transformational leadership, and digital communication.","knowsAbout":["Stigmergy Network Theory","Digital Traces","Collective Action","Crowdsourcing","Swarm Intelligence","Risk Perception","Transformational Leadership","AI Literacy","Human-Computer Interaction","EdTech"],"worksFor":{"@type":"Organization","name":"Temple University Japan","url":"https://www.tuj.ac.jp/"}},{"@type":"ScholarlyArticle","@id":"https://www.marvinuehara.com/research#theory","name":"Stigmergy Network Theory","headline":"Stigmergy Network Theory: Mediated Communication and Coordination Through Digital Traces","description":"A research theory developed by Marvin Uehara proposing that humans, like ants using pheromone trails, leave digital breadcrumbs online that enable indirect coordination, emergent collective action, and social change without centralized leadership. Rooted in personal experience with community risk and tragedy, the theory draws on stigmergy from entomology to explain how hashtags, online movements, crowdsourced reports, and shared narratives amplify into large-scale behavioral change. Key mechanisms include uncoordinated flow, error control, and risk perception as drivers of digital collective action.","url":"https://www.marvinuehara.com/research","author":{"@id":"https://www.marvinuehara.com/#person"},"keywords":["stigmergy","human stigmergy","digital traces","collective action","crowdsourcing","swarm intelligence","risk perception","social change","online movements","digital communication","error control","uncoordinated flow","transformational leadership"],"subjectOf":[{"@id":"https://www.marvinuehara.com/research#video1"},{"@id":"https://www.marvinuehara.com/research#video2"}]},{"@type":"VideoObject","@id":"https://www.marvinuehara.com/research#video1","name":"Building a Collaborative Stigmergy Network – Marvin Uehara","description":"A short video by Marvin Uehara introducing the concept of a collaborative network of like-minded people connected through digital traces, rooted in the Stigmergy Network Theory.","url":"https://www.youtube.com/shorts/vfL387S0FNU","embedUrl":"https://www.youtube.com/embed/vfL387S0FNU","author":{"@id":"https://www.marvinuehara.com/#person"},"inLanguage":"en","uploadDate":"2024-01-01"},{"@type":"VideoObject","@id":"https://www.marvinuehara.com/research#video2","name":"Human Stigmergy: Context, Implications, and Research Updates – Deep Dive","description":"A full-length deep dive podcast and seminar video by Marvin Uehara exploring the context, implications, and updates of the Stigmergy Network Theory research project. Covers how human stigmergy — inspired by ant pheromone trails — explains leaderless online movements, risk perception, error control, the Queensland floods case study, AI applications, and the potential of crowdsourced digital traces to drive real-world social change.","url":"https://www.youtube.com/watch?v=QS4f2jX7BbI","embedUrl":"https://www.youtube.com/embed/QS4f2jX7BbI","author":{"@id":"https://www.marvinuehara.com/#person"},"inLanguage":"en","uploadDate":"2024-01-01","transcript":"This seminar is part of the research project on human stigmergy. We are training the next generation of positive changemakers in digital communication and transformational leadership. Our goal is to equip these emerging leaders with the tools they need to discover and pursue their passions — like identifying urgent problems in their communities and figuring out how to tackle them. We want to help these active citizens share their valuable insights online, strategically documenting their journeys while allowing like-minded individuals to find, enhance, and enjoy their efforts. We will provide them with valuable insights and clear guidelines on how to leverage algorithms that classify and rank billions of digital traces uploaded daily on platforms that connect us all. Ever feel like you are watching something incredible — like when a huge online movement just kind of explodes out of nowhere? Yeah, like thousands, even millions of people joining forces, but there is no CEO, no single leader calling the shots. So how does that even happen? That is a good question. That is what we are diving into today: the mystery of how these movements happen — spontaneous collective action. And the answer might be hiding in plain sight. We just have not seen it yet. Taking inspiration from ants — yep, you heard that right — we are unpacking this wild idea of human stigmergy, which is a term we kind of borrowed from how ants build those crazy complex colonies. It is really about indirect coordination — like a chain reaction of cues and responses. Imagine a trail of ants. They do not need some big blueprint or a boss telling them where to go. Each ant leaves behind a pheromone trail — a trace in the environment that guides all the other ants. So it is like they are communicating but not directly. Exactly. It is a perfect example of order emerging from what seems like chaos — from all these individual actions. So how does this ant analogy translate to us humans, especially online? We are not laying down pheromone trails, right? But we are leaving behind digital footprints. Exactly. Think about a hashtag that blows up overnight. It is not just random chance. It is individuals responding to what they see others doing, amplifying a message, and then it creates a ripple effect. So you are saying these digital traces we are leaving are how we understand how these online movements gain traction. That is what this researcher argues. And it is not just about going viral — it is about how these movements actually lead to change in the real world. This researcher's work suggests that our perceptions of risk, especially in uncertain situations, leave those digital breadcrumbs that can actually then guide collective action. So give me an example. Remember the early days of the pandemic? Everyone turned to social media to share information, anxieties, coping mechanisms. All of those digital traces, fueled by a shared sense of urgency, shaped how individuals and communities responded. So it is like our anxieties, our need to figure things out in a crisis — it becomes this driving force. But does that also make you think about the whole fake news problem? What if those digital traces are misleading? That is the double-edged sword — it can go south quickly. The researcher is really interested in how these systems self-correct, especially with all this misinformation and manipulation. He uses the term uncoordinated flow and error control to describe this process, which is really important for how online communities deal with uncertainty. Think of it like this: you see a post about some breaking news event, but then you see other people questioning it, providing alternative sources, maybe even debunking it. That is error control in action — a constant push and pull of information that helps everyone figure things out. It is like a digital immune system trying to fight off the spread of bad information. So it is not just about how fast things spread, but also how well the truth — or at least a consensus — emerges from all the noise. That is the key. It is really interesting how this researcher connects these big ideas to stuff that happens in real life. Like that story about their mom almost getting hit by a motorcycle at that intersection. It was not just the near accident itself — it is what they did after. They really dug deep, like an investigator, talking to people in the neighborhood, asking about the intersection. And it turned out that spot had a history of accidents. People knew it was dangerous but nothing ever changed. That is a perfect example of where human stigmergy could have made a difference. Imagine if there had been a way for people to share what they knew about that intersection — it might have saved lives. It makes you think about all the risks we encounter every day without even realizing them, and the power of shared knowledge. So how does this connect to the researcher's work on that mobile app about child maltreatment? The researcher was really affected by a news story about a child who had died from abuse. They became fixated on finding ways to stop these things from happening. That is where the app idea came in — they wanted to create an app where people could report signs of child maltreatment anonymously. So kind of like a digital safety net. It would collect all these reports, analyze the data, and then alert the authorities. Ambitious. It was a long shot, but they wanted to leverage the power of crowdsourced information and AI to solve a really complex problem. Sadly, it never got off the ground. But you can see how it connects to human stigmergy — individuals sharing their observations to create this pool of knowledge and potentially driving positive change. And even though the app was never built, it pushed the researcher to think more about AI and its potential for error management. They started to see the connections between the app, the accident with their mother, and risk perception. Which brings us to the Queensland floods in Australia — a turning point for the research. This was back before social media was as big as it is now. People were mostly using online forums and message boards. And that is where the researcher found something incredible — a single post urging people to evacuate days before the official warnings were issued. Someone saw the danger before the authorities. This person had local knowledge, a deep understanding of the land, and they understood the danger. The researcher kept thinking: what if more people had seen that post? It could have saved lives. And that is the power of human stigmergy — finding those critical signals amidst all the noise. Recognizing those vital whispers of insight that can make a difference. This flood event pushed the researcher even further into the world of AI — searching for ways to sift through all the chaos to find those needles in the digital haystack. It is like we are talking about a sixth sense — but instead of predicting earthquakes, it is about recognizing these patterns in human behavior. Like a collective intuition amplified by technology. And this is where AI comes in. So the researcher really dove into the world of AI after their doctorate. They were all in — taking courses on statistics, machine learning, the whole nine yards. They were looking for the tools to make sense of it all, to connect the dots between individual perception and collective action. This led to some pretty radical ideas, like that project about using AI at border crossings, which definitely raised some eyebrows. It is not about endorsing those applications — it is about understanding the potential for misuse, because human stigmergy can be used for good or bad. And this researcher actually jumped into the startup world. They co-founded a company that used AI to analyze online reviews. It shows they wanted to bridge the gap between theory and real-world applications — to actually put these ideas into practice. And even though the startup did not make it, they learned a lot from the experience. So we have got this brilliant mind, a bit of a risk taker, who is trying to understand how the world works. And then they discover this concept of stigmergy — which started with ants — and suddenly everything clicks. They started to see human stigmergy everywhere. Those online movements, the ones that seem to come out of nowhere, were not random. They were the result of people responding to each other, leaving those digital cues, creating these feedback loops. It is like we are all connected in this invisible web — all leaving these digital breadcrumbs that influence each other. So where does this leave us? It means we are not just passive bystanders — we are shaping the digital world with every click, every like, every share. So we have a responsibility to be more aware, to think critically about what we see and do online. Because human stigmergy is a powerful force. It can be used for good or bad. And the more we understand it, the better equipped we will be to navigate this digital age. We need to be mindful of the digital trails we leave behind. Knowledge is power. Think about your own experiences online — can you see human stigmergy at work? It is happening all around us, and it is shaping the future. Until next time, keep those digital breadcrumbs insightful."},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.marvinuehara.com/"},{"@type":"ListItem","position":2,"name":"Research","item":"https://www.marvinuehara.com/research"},{"@type":"ListItem","position":3,"name":"From Personal Experience to Academic Theory","item":"https://www.marvinuehara.com/research/from-personal-experience-to-academic-theory"},{"@type":"ListItem","position":4,"name":"The Origins of the Stigmergy Network Theory","item":"https://www.marvinuehara.com/research/from-personal-experience-to-academic-theory/the-origins-of-the-stigmergy-network-theory"}]}]}</script>