Is evolution predictable? Unlocking fundamental biological insights using new machine learning methods

UKRI FLF · United Kingdom government procurement

This opportunity is now closed. GlobalGov surfaces government procurement from around the world, including the markets your competitors overlook.

Closed
Status

Opportunity Overview

Is evolution predictable? If I asked you whether a new antibiotic might face resistance, would you say yes? What about larger changes? Which animal species will be extinct in a million years, or ten? What will new ones look like? How will human culture itself have evolved?

The answers to questions like these matter deeply for the resilience of our ecosystem and society. But it is not yet known to what degree such questions are answerable. Is evolution predictable in theory and practice? From what? To what extent?

This Future Leaders Fellowship will empower me to lead an international network of researchers to give concrete answers to fundamental questions of evolutionary predictability.

A key to their answers is evolutionary convergence, the repeated evolution of similar phenotypes, or overall phenomes, like the suggested (but also disputed) repetition of body forms in placental and marsupial mammals. Convergence offers to tell us what we can expect from evolution, more of the same, or its alternative, something entirely new? But, while many examples of convergence have been hypothesised, no study has measured the full extent to which they vary with evolutionary distance and, therefore, just how predictable they are.

For the first time, new computational methods of machine learning will allow us to measure the extent of evolutionary convergence across entire visible phenomes. This fellowship will undertake the most comprehensive tests of evolutionary convergence ever performed, across two parallel research programs on diverse evolutionary groups, the butterflies and moths and the mammals, our own evolutionary clade. This will compare the extent and evolutionary patterns of convergence in all phenotype visible among hundreds of thousands of lepidopteran photographs and images from 3D mammal skull scans. This will test the extent to which evolution is ultimately, or only locally, predictable across real-world macroevolutionary diversifications.

This will give...

Your competitors are watching the same crowded contracts everyone else is. Track live opportunities like this one worldwide, set deadline alerts, and win where they aren’t. Free for 14 days, no card.

Start Free

Solicitation Details

Issuing agencyUKRI FLF
CountryUnited Kingdom
CategoryData & Analytics
PublishedJune 02, 2024
Procurement stageActive solicitation
ClosedClosing date not published
StatusClosed — no longer accepting responses
Official sourceView original notice
Last verifiedOctober 10, 2026

Source: UK Research and Innovation (UKRI) — Open Government Licence v3.0.

Browse Similar Open Opportunities in United Kingdom

Global Travel, Accommodation and Venue Management Services
Capital Programme Delivery Framework(s)
NEPRO Total Talent
Workforce Solution 2
Technology Products and Associated Services 3
Technology Products and Associated Services 3
GMCA 2201 NW Regional Children’s Services Contract
Integrated Partnerships Framework

See every United Kingdom Data & Analytics opportunity your competition is missing. Free for 14 days.

Get real-time alerts, competitive intelligence, and deadline tracking for this and every market worldwide.

Start Free Trial — No Card Required

Free 14-day trial · no card required

See who is already competing here →

Get a free United Kingdom Data & Analytics intelligence report in your inbox

A personalized report on United Kingdom Data & Analytics opportunities, emailed in 5-10 minutes. One per month, no account needed.