Rethinking wildfire with data analytics and systems design.
Leaf blower as a firefighting tool
Using Leaf Blowers on Grass Fires
The New Science of Wildfire Prediction
Introducing a new tool for wildfire reforestation: Drone reforestation / DroneSeed is planting trees from the air
Shortcut multi-year rehabilitation efforts
DroneSeed is a Seattle-based startup that aims to combat this growing problem with a modern toolkit that scales: drones, artificial intelligence and biological engineering
Another company working with this concept of Automate Reforestation:
Flash Forest is a Canadian reforestation company that uses UAV technology, automation and ecological science to regenerate ecosystems on a global scale.
Want to Fight the Zombie Fire Apocalypse? Weaponize Math
Boosted by advances in sensors and artificial intelligence, a new generation of machines is automating a tech-averse industry
Industrial drone maker Percepto integrated its Spot robots with Percepto’s Sparrow drones, with the aim being better infrastructure assessments
How to Make (Almost) Anything
Dr. Neil Gershenfeld, Director of MIT’s Center for Bits and Atoms, meshes together the physical and virtual worlds through quantum computing and digital fabrication of the IoT, and pushes the boundaries of what can be done in order to create a more sustainable future.
Science in the Age of Experience 2020
Science is a driver of sustainable innovation.
At Science in the Age of Experience, you’ll join thought leaders, influencers, and your peers from around the world to discover and explore the newest dynamics in science.
Focusing on the urgency for science & technology to drive life-changing collaborations and innovations to resolve the crisis we face and push for a more sustainable future. It highlights some of the insights, fast responses and early successes in life sciences, in manufacturing and in cities that have emerged recently and contributed to improving human life.
Join this virtual event.
Want a More Equitable Future? Empower Citizen Developers
To drive innovation, we need to put technology in the hands of every worker, organization, and public-sector agency around the world.
A predictive principle for self-organization in active collectives
Shake, rattle, and help each other along
In classical statistical mechanics, the deterministic dynamics of a many-body system are replaced by a probabilistic description. Chvykov et al. work toward a similar description for the nonequilibrium self-organization of collectives of active particles. In these systems, continuously input energy drives localized fluctuations, but larger-scale ordering can emerge, such as in the flight of a flock of birds. A key concept in their theory is the importance of rattling, whereby ordered patterns emerge through local collisions between neighbors at specific frequencies. The authors demonstrate this behavior using a set of flapping robots and produce related simulations of the robot behavior.
Low rattling: A predictive principle for self-organization in active collectives
Pavel Chvykov, Thomas A. Berrueta, Akash Vardhan, William Savoie, Alexander Samland, Todd D. Murphey, Kurt Wiesenfeld, Daniel I. Goldman, Jeremy L. England
Vol.: 371, Issue 6524, pp. 90-95
Mutual Aid 101: Toolkit
Mutual aid is “cooperation for the sake of the common good.” It’s getting people to come together to meet each other’s needs, recognizing that as humans, our survival is dependent on one another. If you’re interested in learning more about the long history, politics and practice of mutual aid, we encourage you to read the links
The natural world abounds with self-organizing collectives, where large numbers of relatively simple agents use local interactions to produce impressive global behaviors, such that the system as a whole is greater than the sum of its parts (1). Well-known examples include social insect colonies, bird flocks, and fish schools.