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Tomnod was founded to meet the needs of a growing digital world, where the size and complexity of digital data sets continue to increase exponentially and new analytical methods are required to realize their potential. We specialize in data improvement, machine learning/automated computation, and human generated analysis (crowdsourcing). This expertise has been generated over 20+ years of combined Ph.D. level research and multiple highly successful public platform launches. Tomnod core competencies:
  • Proven track record:
    • Successful remote sensing campaign in Mongolia to find the Tomb of Genghis Khan.
    • Engagement of the crowd on (6000 visitors engaged for 7.5 minutes on average, 1.5 million tags).
    • Successful cycle of crowdsourcing, groundtruthing, and reporting back to the crowd.
    • User interface expertise integrates social, altruistic and game-based motivations to engage online crowds.
    • Herd-It Facebook integration: herds of Facebook players categorize the "feeling" of songs.
    • Statistical analytics and innovative visualization for insightful data reporting.
    • Published scientific contributions in crowdsourcing and machine learning.
  • Management and Integration: Political, international expertise, software/hardware integration for field use Tomnod is a company of engineers, explorers, and adventurers. Tomnod's founders all have PhDs in engineering with expertise spanning human computation and crowdsourcing, machine learning, signal and image processing. The team created and executed the National Geographic Valley of the Khans project, a multi-institutional collaboration that uses technology to search for the tomb of Genghis Khan. Through this project, the team developed cutting-edge innovations in archaeological exploration - including crowdsourced remote sensing - culminating in two significant expeditions to Mongolia involving a team of 31 international explorers.