5 Matching Annotations
  1. Jul 2024
    1. 26:30 Brings up progress traps of this new technology

      26:48

      question How do we shift our (human being's) relationship with the rest of nature

      27:00

      metaphor - interspecies communications - AI can be compared to a new scientific instrument that extends our ability to see - We may discover that humanity is not the center of the universe

      32:54

      Question - Dr Doolittle question - Will we be able to talk to the animals? - Wittgenstein said no - Human Umwelt is different from others - but it may very well happen

      34:54

      species have culture - Marine mammals enact behavior similar to humans

      • Unknown unknowns will likely move to known unknowns and to some known knowns

      36:29

      citizen science bioacoustic projects - audio moth - sound invisible to humans - ultrasonic sound - intrasonic sound - example - Amazonian river turtles have been found to have hundreds of unique vocalizations to call their baby turtles to safety out in the ocean

      41:56

      ocean habitat for whales - they can communicate across the entire ocean of the earth - They tell of a story of a whale in Bermuda can communicate with a whale in Ireland

      43:00

      progress trap - AI for interspecies communications - examples - examples - poachers or eco tourism can misuse

      44:08

      progress trap - AI for interspecies communications - policy

      45:16

      whale protection technology - Kim Davies - University of New Brunswick - aquatic drones - drones triangulate whales - ships must not get near 1,000 km of whales to avoid collision - Canadian government fines are up to 250,000 dollars for violating

      50:35

      environmental regulation - overhaul for the next century - instead of - treatment, we now have the data tools for - prevention

      56:40 - ecological relationship - pollinators and plants have co-evolved

      1:00:26

      AI for interspecies communication - example - human cultural evolution controlling evolution of life on earth

  2. Oct 2023
    1. Performing optimization in the latent space can more flexibly model underlying data distributions than mechanistic approaches in the original hypothesis space. However, extrapolative prediction in sparsely explored regions of the hypothesis space can be poor. In many scientific disciplines, hypothesis spaces can be vastly larger than what can be examined through experimentation. For instance, it is estimated that there are approximately 1060 molecules, whereas even the largest chemical libraries contain fewer than 1010 molecules12,159. Therefore, there is a pressing need for methods to efficiently search through and identify high-quality candidate solutions in these largely unexplored regions.

      Question: how does this notion of hypothesis space relate to causal inference and reasoning?

    2. Wang et. al. "Scientific discovery in the age of artificial intelligence", Nature, 2023.

      A paper about the current state of using AI/ML for scientific discovery, connected with the AI4Science workshops at major conferences.

      (NOTE: since Springer/Nature don't allow public pdfs to be linked without a paywall, we can't use hypothesis directly on the pdf of the paper, this link is to the website version of it which is what we'll use to guide discussion during the reading group.)

  3. Dec 2022
  4. Dec 2019
    1. Four databases of citizen science and crowdsourcing projects —  SciStarter, the Citizen Science Association (CSA), CitSci.org, and the Woodrow Wilson International Center for Scholars (the Wilson Center Commons Lab) — are working on a common project metadata schema to support data sharing with the goal of maintaining accurate and up to date information about citizen science projects.  The federal government is joining this conversation with a cross-agency effort to promote citizen science and crowdsourcing as a tool to advance agency missions. Specifically, the White House Office of Science and Technology Policy (OSTP), in collaboration with the U.S. Federal Community of Practice for Citizen Science and Crowdsourcing (FCPCCS),is compiling an Open Innovation Toolkit containing resources for federal employees hoping to implement citizen science and crowdsourcing projects. Navigation through this toolkit will be facilitated in part through a system of metadata tags. In addition, the Open Innovation Toolkit will link to the Wilson Center’s database of federal citizen science and crowdsourcing projects.These groups became aware of their complementary efforts and the shared challenge of developing project metadata tags, which gave rise to the need of a workshop.  

      Sense Collective's Climate Tagger API and Pool Party Semantic Web plug-in are perfectly suited to support The Wilson Center's metadata schema project. Creating a common metadata schema that is used across multiple organizations working within the same domain, with similar (and overlapping) data and data types, is an essential step towards realizing collective intelligence. There is significant redundancy that consumes limited resources as organizations often perform the same type of data structuring. Interoperability issues between organizations, their metadata semantics and serialization methods, prevent cumulative progress as a community. Sense Collective's MetaGrant program is working to provide a shared infastructure for NGO's and social impact investment funds and social impact bond programs to help rapidly improve the problems that are being solved by this awesome project of The Wilson Center. Now let's extend the coordinated metadata semantics to 1000 more organizations and incentivize the citizen science volunteers who make this possible, with a closer connection to the local benefits they produce through their efforts. With integration into Social impact Bond programs and public/private partnerships, we are able to incentivize collective action in ways that match the scope and scale of the problems we face.