Biometric and environmental data is capturing data as ecosystems of Internet of Things devices, ranging from body-worn wearables to sensors in smart cities, are generating an enormous amount of data. How can stakeholders in healthcare use the data, contextualized with advanced AI applictions, for digital real-world evidence to understand disease patterns or future epidemics without infringing on data sovereignty? What are new business models using new technologies from Edge Computing to distributed technologies and unbiased artificial intelligence to create social, ecological, and economic equality amongst all stakeholders? The lecture will discuss how lifestyle data is the basis for the development of personalized medicine, creating engaging prevention programs, and products that promote our health, as well as the advances in AI for the industry. The development of such models requires eclectic, diverse, and empowered teams and funding structures. Sabine Seymour explains the collection of lifestyle data and the wisdom created to boost your body's resilience against diseases.
More and more data of every single person is available in the digital sphere. However, the question can also be asked how this situation can be used in a socially sustainable manner. In her lecture, Sabine Seymour explores the question of how data economy can strengthen an equal distribution of ownership. She examines what new business models exist that democratize the ownership of data and use data for ever good purposes. Using the example of lifestyle data generated by Internet of Things devices (wearables, smart clothing), she shows how healthcare can be democratized and how biometric data can be used securely in the age of basic data protection regulations. Internet of Things devices ranging from body centered wearables to sensors in smart cities are generating an enormous amount of data. The raw data is contextualized to provide insights for enterprises, governmental institutions, and non-profit organisations. The process of collecting and contextualizing the data is highly complex and expensive which requires funding to create size-able platform infrastructures that empower sustainable and 'European standard' social business models.
What are parallels between a tokenized corporation, a DAO, and a data cooperative? What are insights for socially, economically, and environmentally just organizations and distributed governance models of the future? The economic landscape calls for resilience, environmental authenticity, and new models for distributed organizations. Dr. Seymour examines the parallels between centralized systems, the onset of the Internet, platform technologies, and now distributed networks in regards to governance models and economic systems. Why is distributed ownership a relevant new finance model for a regenerative lifestyle that includes all stakeholders? The case study is rooted in the human immune system and healthcare and uses distributed technologies to set up new organizational structures. It explains the regenerative economy model and proposes a resilient finance model for all stakeholders.
In this session, participants will learn how wisdom can be drawn from data through powerful examples of impact AI focused on women's health. Data now touches every part of our lives, from the biometric signals on our wrists to the pollution sensors and eDNA readers monitoring the ecosystems around us — but collecting it responsibly, without infringing on data sovereignty, is one of the greatest challenges of our time. How do we turn this flood of biometric and environmental data into wisdom that actually improves wellbeing?
Dr. Seymour will explain how lifestyle data can be gathered from wearables while protecting data sovereignty, and survey the current landscape of biometric and environmental data collected across an ecosystem of IoT devices — from pollution sensors to eDNA analysis. Participants will then discover the power of storytelling to simplify complex scientific knowledge about wellbeing, food as medicine, and longevity. True to Dr. Seymour's signature style, this keynote may unfold as a site-specific experience — sometimes leading participants into a nearby forest to illustrate complex systems and regenerative leadership in action.
Perfect for professionals and leaders seeking to translate complex data into meaningful action, this session will inspire participants to see data not just as information, but as a source of wisdom for a more regenerative way of living.
This session will be a testament to resilience, and a challenge to everything the business world assumes about limitation. Twenty years ago, a severe multiple sclerosis episode left Dr. Sabine Seymour in a wheelchair, speech-impaired, and paralyzed on the right side of her body. Today she surfs and free-skis big mountains. What happened in between — and what it means for how we think about resilience, leadership, and the human body — is the subject of this talk.
Dr. Seymour will share the more than 100 life hacks, lifestyle choices, and treatments that took her from paralysis back to life as an extreme athlete, debunking the notion that an autoimmune diagnosis is an endpoint rather than a beginning. Drawing on her work as an expert patient, creative scientist, and founder of Re. punk, she will expose the systemic bias and ethical gaps in women's health research, and share the healing power of what she calls "being punk" — a refusal to accept limits that haven't actually been tested.
Perfect for business leaders and professionals navigating high-pressure, high-stakes environments, this session translates hard-won lessons in physical and mental resilience into tools for leading — and living — without limitation.
In this session, participants will learn how new organizational models can create social, ecological, and economic equality among all stakeholders in the AI economy. As AI reshapes who benefits from data, capital, and innovation, ownership becomes a question of equity: who controls the models, who profits, who's left out. Dr. Sabine Seymour argues the structures we build will matter as much as the technology itself in determining whether AI closes gaps or widens them. Dr. Seymour will examine the differences between a tokenized corporation, a data cooperative, and a traditional startup, exploring how each structure distributes ownership, incentives, and accountability differently. Participants will explore these models through the lens of open-source, locally stored AI systems built for data sovereignty. A case study on women's health — a field chronically underfunded and underresearched worldwide — will ground the discussion in a real-world application where equitable data and organizational design directly affect health outcomes. Perfect for professionals and public leaders alike who are interested in public-private partnerships for impact solutions using AI, this session will equip participants with new frameworks for building — and choosing — organizations that align innovation with equity.