You're in!
Engaging with our content
A Leaf AI advisor?
Getting the ball rolling
Introductions
Requirements for completion
Machines of exponential importance
How to 10x your impact by choosing interventions carefully
The probability distribution of impact is probably heavy-tailed
Identifying pressing problems and the best solutions to them
Multiple multipliers
Effective altruism
Life and death choices: moral mathematics in the driver’s seat
Predicting the future with Bayes Theorem
Farmer or librarian?
Jamie’s (super?) forecast
The big reveal: Bayes Theorem in all its glory
Quick check
Neema’s case: Putting numbers into action
Neema’s case: Your answer
Neema's Case Walkthrough
Getting Better at Bayes
Waterfowl, waste-oil, wires, and willingness-to-pay
The moral menace of neglecting numbers
Scope insensitivity: your guess
Scope insensitivity: the results
What % utilitarian are you? Ethical theories by the numbers
Summing up
Spencer Greenberg Q&A
Emma Pierson Q&A
Further exploration
Tough choices in warzones and disasters
Key Terms: Cause areas, problems, and interventions
Exploring landmark numbers on problem size
A framework for prioritising pressing problems
Shocking neglect
Putting the framework into practice
What did you think?
You can quantify anything
How to estimate anything
Real decisions with real consequences
Bus or bike?
Saving 90 hours with a few minutes of maths
From mundane to moral mathematics
Using LLMs for CEAs
Quantifying Carefully
Summing up
Optional: Sanjay Joshi talk and Q&A
Optional: Alex Barry Q&A
Further exploration
Big Decisions
What’s the price of a human life?
Asking people how they want us to help them
Helping the voiceless
Weighing welfare across species
Counting neurons to weigh welfare across species (activity)
Don’t rely too much on neuron counts
Species comparison in practice
Predictions from the precipice: Climate modelling
Expected value and probability theory
Betting on big outcomes
Exploring expectations
Exploring expectations (activity)
Summing up
Annabella Wheatley talk and Q&A
Further exploration
The long and short of it
Machine learning and AI: maths at the forefront of emerging tech
Linear regression and gradient descent
What is a neural network?
Maths that might destroy the world
Maths that might save the world
Pandemic preparedness and battling biorisk
Manipulating materials and mathematical models for a flourishing future
Mathematical modelling of pandemics
The case for reducing existential risks
Two kinds of lasting legacy
Mistakes in the moral mathematics of existential risk
Summing up
Jack Parker Q&A
Noah Siegel talk and Q&A
Further exploration
A simple formula for career impact
A simple formula for career impact (Activity)
Career deliberations: Key terms and concepts
The status quo vs. moral ambition
The best learning is targeted learning
The best learning is targeted learning (Activity)
Why study maths?
Funnel vision, not tunnel vision
Casting a wide net
AIM high, DIY
Plenty of paths to impact
Multiply your income to maximise your impact?
Careers beyond finance & quant trading
Do you want to commit to this?
There's more than one STEM subject
Degrees that set you up for high-impact careers
Considering relevant degrees (Survey)
Making your degree research impactful
Degrees and careers that capitalise on your strengths
Making watertight plans
Your next steps on the path to impact
Your priority area to look into
Support Leaf?
Congratulations!
Vicky Cox talk and Q&A
Jessica Wen Q&A
Further exploration
