We accelerate discovery to reach the future faster

  • Forrest Sheldon
    People

    Welcome, Forrest

    Postdoctoral Research Fellow Forrest Sheldon arrives at the London Institute. He studies combinatorial design and models of reprogramming.

  • Papers

    How to count logics

    The fraction of logics that are biologically permitted can be bounded and shown to be tiny, which makes inferring them from experiments easier.

  • Papers

    The rules of life

    The bipartite nature of genetic regulatory networks means their logics are composed, which severely restricts which ones can show up in life.

  • WEBSITE

    Research themes

    Our four research themes, from the nature of the universe to the future of tech, all use mathematics to understand the world and improve it.

  • PERSPECTIVES

    Lessons from the RI

    As the government creates its Advanced Research & Invention Agency, it could learn from the exceptional history of the Royal Institution.

  • WEBSITE

    Our journals

    Our new Journals page provides a guide to the journals we have published in, as well some journals that we haven’t, but would like to.

  • News

    Move to the RI

    We are delighted to announce that we have moved to the Royal Institution, where we will expand our programme of curiosity-driven research.

  • Press

    From zero to IRO

    If the government wants a broader ecosystem of scientific research organisations, it needs to support non-university science. Here’s how.

  • Projects

    Recursively divisible

    Generalizing the divisor function to find a new kind of number that can be recursively divided into parts, for use in design and technology.

  • Events

    Grand challenges

    A one-day meeting at the RI to discuss accelerating discovery with Bit.Bio and do a hackathon of the 23 mathematical challenges of our time.

  • PEOPLE

    Welcome, Sarah

    Welcome to our new director of development Sarah Myers Cornaby. She’ll be leading our fundraising and strategy for growing the Institute.

  • PAPERS

    True scale-free networks

    Naturally occurring networks have an underlying scale-free structure that is often clouded by finite-size effects in the sample data.

Who's funding us

Adtones

Boston Consulting Group

BCG Henderson Institute

BitBio

Cancer Research UK

MoD Defence Enterprise

DARPA

DTRA

EU Innovation Council

Framework Programme 7

Garfield Weston

Horizon 2020

Invenia Labs

LIMS Ventures

Medical Research Council

Office of Naval Research

Porter Foundation

Rose Foundation

Edward Harvist Trust

European Home Affairs