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The team explores the rise of citizen scientists in the age of AI. From whale tracking to personalized healthcare, AI is lowering barriers and enabling everyday people to contribute to scientific discovery. The discussion blends storytelling, use cases, and philosophical questions about who gets to participate in research and how AI is changing what science looks like.

Key Points Discussed

Citizen science is expanding thanks to AI tools that make participation and data collection easier.

Platforms like Zooniverse are creating collaborative opportunities between professionals and the public.

Tools like FlukeBook help identify whales by their tails, combining crowdsourced photos with AI pattern recognition.

AI is helping individuals analyze personal health data, even leading to better follow-up questions for doctors.

The concept of “n=1” (study of one) becomes powerful when AI helps individuals find meaning in their own data.

Edge AI devices, like portable defibrillators, are already saving lives by offering smarter, AI-guided instructions.

Historically, citizen science was limited by access, but AI is now democratizing capabilities like image analysis, pattern recognition, and medical inference.

Personalized experiments in areas like nutrition and wellness are becoming viable without lab-level resources.

Open-source models allow hobbyists to build custom tools and conduct real research with relatively low cost.

AI raises new challenges in discerning quality data from bad research, but it also enables better validation of past studies.

There’s a strong potential for grassroots movements to drive change through AI-enhanced data sharing and insight.

Timestamps & Topics

00:00:00 🧬 Introduction to AI citizen science

00:01:40 🐋 Whale tracking with AI and FlukeBook

00:03:00 📚 Lorenzo’s Oil and early citizen-led research

00:05:45 🌐 Zooniverse and global collaboration

00:07:43 🧠 AI as partner, not replacement

00:10:00 📰 Citizen journalism parallels

00:13:44 🧰 Lowering the barrier to entry in science

00:17:05 📷 Voice and image data collection projects

00:21:47 🦆 Rubber ducky ocean data and accidental science

00:24:11 🌾 Personalized health and gluten studies

00:26:00 🏥 Using ChatGPT to understand CT scans

00:30:35 🧪 You are statistically significant to yourself

00:35:36 ⚡ AI-powered edge devices and AEDs

00:39:38 🧠 Building personalized models for research

00:41:27 🔍 AI helping reassess old research

00:44:00 🌱 Localized solutions through grassroots efforts

00:47:22 🤝 Invitation to join a community-led citizen science project

#CitizenScience #AIForGood #AIAccessibility #Zooniverse #Biohacking #PersonalHealth #EdgeAI #OpenSourceScience #ScienceForAll #FlukeBook #DailyAIShow #GrassrootsScience

The Daily AI Show Co-Hosts:

Andy Halliday, Beth Lyons, Brian Maucere, Eran Malloch, Jyunmi Hatcher, and Karl Yeh