Skip to main content
Climate
Search

Main navigation

  • Climate 101
    • What We Know
    • What Can Be Done
    • Climate Primer
  • Explore
    • Podcast
    • Explainers
    • Climate Questions
    • For Educators
  • MIT Action
    • News
    • Events
    • Resources
  • Search
MIT

Main navigation

  • Climate 101
    • What We Know
    • What Can Be Done
    • Climate Primer
  • Explore
    • Podcast
    • Explainers
    • Climate Questions
    • For Educators
  • MIT Action
    • News
    • Events
    • Resources
  • Search
VideoMay 8, 2017

Combining Experts and Online Crowds to Address Climate Change - Tom Malone

    Description

    In this video, Tom Malone explains his reasons for creating Climate CoLab, an online community for climate change research and innovation.

    Tom highlights the essential involvement of both experts and interested individuals in developing new climate change technologies.

    He gives examples of some of the excellent grant-winning projects submitted to Climate CoLab contests, including the design of a solar panel that follows the sun, generating more energy and producing clean drinking water in the process. 

    by ClimateX Team
    Topics
    Energy
    Renewable Energy
    Humanities & Social Science

    Related Posts

    PostAugust 18, 2026

    Steady Heat, Flexible Power: Flexibility by Proxy in Nuclear-Thermal Energy...

    MIT Center for Energy and Environmental Policy Research
    rendering of energetic plasma
    PostAugust 11, 2026

    Researcher Profile: 3 questions with Jennifer Morris

    MIT Center for Sustainability Science and Strategy
    Jennifer Morris moderating a panel at the 48th Global Change Forum in March 2026 (Photo by Jamie Bartholomay)
    PostAugust 6, 2026

    A new way to watch heat move through electronics

    MIT News
    To measure how heat moves through materials, MIT researchers use laser pulses (red) to heat a sample while ultrafast X-rays (purple) penetrate multiple material layers and measure changes as heat dissipates.
    PostAugust 4, 2026

    Solving the solvent problem

    MIT Department of Nuclear Science and Engineering
    A machine-learning-guided pipeline enables researchers to generate solvent candidate pools on demand, narrow the selections down, and experimentally test the most promising electrolyte recipes. These scanning electron microscopy images show the morphology of sodium-metal deposits obtained from three different electrolyte candidates.

    MIT Climate Knowledge in Your Inbox

     
     

    MIT Groups Log In

    Log In

    Footer

    • About
    • Terms & Conditions
    • Privacy Policy
    • Accessibility
    • Contact
    MIT Climate Project
    MIT
    • Instagram
    • TikTok
    • YouTube
    • Simplecast
    Communicator Award Winner
    Communicator Award Winner