Taking flight with Haikubox

Our Story

How an early love of birds fledged into the AI-enabled Haikubox

David Mann visits the Cornell Lab of Ornithology in 1977

The Naturalist

Haikubox took flight when a bioacoustics expert rediscovered an early love of birds.

The Haikubox founder, David Mann, grew up in Syracuse, NY and spent a lot of time outdoors, no matter the weather. A collector of small creatures, he was fascinated by birds and watched them at home and in nearby Sapsucker Woods on the Cornell University campus. In this photo, nine-year old David had his binoculars ready for something more interesting than Canada Geese (was he also imagining the invention of the Internet and machine learning?).

David studied biology at Cornell and earned a PhD in biological oceanography from MIT and the Woods Hole Oceanographic Institution. His focus?

Animal acoustics.

Singing bird

The Science

When David and long-time colleague Holger Klinck, PhD, Director of the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology, realized they shared a common interest and the technical skills to develop an automatic birdsong identification tool, Haikubox was hatched.

Core Values

Fulfilling our responsibility to positively impact the environment, one backyard at a time

Our mission is to improve environmental literacy and promote conservation and stewardship by helping people learn and care about the natural world.

Birdwatching attracts people from all walks of life — anyone can look out a window, step outside, or visit a park to see and enjoy birds.  The Haikubox community is open to all, including those traditionally underrepresented in many scientific activities and careers.

We encourage instructors from elementary through post-secondary to use Haikubox as a teaching tool to help students learn science and math concepts and vocabulary, including for English language learners and students with disabilities who rely on context and visual clues. 

We expect to grow Haikubox into the world’s largest nature monitoring network, and look forward to developing new global research partnerships. Haikubox can be used for passive acoustics monitoring (PAM), an innovative, powerful and inexpensive way to study many animals, including invasive and endangered species.

Small but mighty

The Team

These four people wear many hats and are all dedicated to the Haikubox mission of improving environmental literacy and stewardship by helping consumers learn and care about their birds.

  • David Mann CEO and Founder of Haikubox

    David

    David oversees Haikubox development and is the Listen site creator / developer. He holds a BS in Biology from Cornell University and PhD from Woods Hole Oceanographic Institution/MIT.

  • Mike Hall Haikubox's mechanical engineer

    Mike

    Mike is a mechanical engineer and hardware designer who ensures everything looks great and performs as expected. He holds an engineering degree from North Carolina State University.

  • Austin Anderson AI and computer wiz for Haikubox

    Austin

    Austin is the data scientist and computer programmer responsible for neural net and smartphone app development. He holds an MS in Data Science from New College of Florida.

  • Amy Donner business development and birdsong listener for Haikubox

    Amy

    Amy labels thousands of bird and other sounds and is responsible for business development. She holds a BS in Biology from Cornell University and an MBA from Boston University.

Iterative development

The Process

The images below capture some of the steps taken to develop Haikubox, including testing enclosure designs, comparing neural nets, and evaluating performance in sun/heat, as well as the small batch assembly process in our Florida office.

In addition to the development of Haikubox, Loggerhead Instruments, founded in 2003 and located in Sarasota, FL, enables scientific discoveries by developing, manufacturing and supplying underwater acoustics equipment to the world’s oceanographers (loggerhead.com).

  • Image showing the early stages of Haikubox development
  • Image showing the early stages of Haikubox development
  • Image showing the early stages of Haikubox development
  • Image showing the early stages of Haikubox development
  • Image showing the early stages of Haikubox development
  • Image showing the early stages of Haikubox development
  • Image showing the early stages of Haikubox development
  • Image showing the early stages of Haikubox development
  • Image showing the early stages of Haikubox development
National Science Foundation logo

This material is based upon work supported by the National Science
Foundation under Cooperative Agreement No. 2135664. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.