Ocean in Transformation
The ocean speaks to all our senses. Gaps in the data, between modes of sensing, hint at new avenues of exploration and experience. Explorers and researchers must reach across disciplines to explore this undiscovered territory, ripe with new possibilities of creativity and expression.
The workshop is focused on finding emergent relationships between data affecting the understanding and transformation of the ocean. Starting with a base of detailed maps and overlaying a curated collection of datasets, participants will discover and explore new interconnections between modes of sensing the ocean and new ways of expressing and sharing the wonder and delight of it.
Led by: Markus Reymann (TBA21-Academy) & John Palmesino (Territorial Agency)
Designing A Pop-Up Discovery Lab
This workshop explores how to design and implement a pop-up marine discovery lab. We will discuss how to identify areas of interest and inquiry, methods of marine sensing, and how to design an experiment using these parameters. It will also touch on getting community involvement and making use of data generated from a pop-up lab.
Led by: David Kong, Devora Najjar, & Teja Jammalamadaka (MIT Media Lab), Neil Gemmel (University of Otago)
My Deep Sea, My Backyard
Seventy percent of nations have deep-sea environments within their maritime Exclusive Economic Zones (EEZs), yet only 16% of them are able to explore those environments. My Deep Sea, My Backyard is an initiative born out of the Here Be Dragons conference held at the MIT Media Lab last February. Since then, a multidisciplinary team built two pilot programs that delivered simple, effective deep-sea camera technology and training to the nations of Kiribati and Trinidad & Tobago. In this workshop, we will introduce low-cost technologies that enable deep sea exploration, share learnings from the pilot program, and brainstorm opportunities for expanding this program to other regions.
Led by: Diva Amon (NHM), Randi Rotjan (BU), Alan Turchik (NGS), Brennan Phillips (URI), & Alexis Hope (MIT Media Lab)
Designing Telepresence Across Scales
How do we construct systems for remote collaboration and manipulation by groups of explorers with different interests and skill sets, given constraints like scarce (or expensive) bandwidth, long communication latency, and small budgets? And further how do we make these systems scale to match different contexts and communities, including education and public outreach? Help define the ideal remote presence environment, supporting easy setup of participants in multiple locations, incorporation of data and imagery from sensor networks and autonomous vehicles, and immersive experiences -- and then we’ll try to figure out how to build it in the real world. Includes live connection with NOAA Ship Okeanos Explorer and E/V Nautilus.
Led by: Mike Bove (MIT Media Lab) & Brian Kennedy (BU)
Seafloor to Satellites: Crowdcomputing and Data Across Scales
Deep ocean ecosystems are an important component of our planet, but they remain scientifically under explored. Traditionally, research on the ocean ecosystems has been decentralized and scattered, involving small teams of experts, on single ships, traveling to distant locations, and mapping oceans as much as possible within a limited time. This has restricted rapid advancement and sharing of scientific knowledge of the ocean with broader communities. While the advent of deep learning and an unprecedented growth of the seafloor and satellite datasets provide an exciting opportunity to decode patterns in deep ocean ecosystems, these datasets are unlabeled, decentralized, and disorganized. In addition, existing deep learning algorithms often fail to capture and incorporate human insights and local knowledge in scientific explorations. This heightens the need for designing a centralized citizen science platform for collectively studying and exploring the ocean. Toward this goal, we present foundational and methodological building blocks required to design the platform. This work makes several contributions to the open ocean exploration community. First, we illustrate the science of crowd powered computational ecosystem. Second, we explore incentive mechanisms to accomplish high cognitive overload tasks and augment human-AI performance at scale. Third, we discuss ethics and best practices of designing and empowering a sustainable community of citizen scientists. We provide an important opportunity to harness crowdcomputing and AI for deep ocean exploration.
Led by: Neil Gaikwad (MIT Media Lab), Max Vilgalys & Jeremy Stroming (MIT), and Ben Woodward (CVision AI)