I work as a researcher in statistical anomaly detection in live data streams. I work at Lancaster University and my research is funded by the Detection of Anomalous Structure in Streaming Settings group, which is funded by a combination of industrial funding and the Engineering and Physical Sciences Research Council (ultimately the UK Government).
Thereās a very critical research problem thatās surprisingly openāif you are monitoring a noisy system for a change of state, how do you ensure that you find any change as soon as possible, while keeping your monitoring costs as low as possible?
By ālowā, I really do mean lowāI am interested in methods that take far less power than (for example) modern AI tools. If the computational cost of monitoring is high, the monitoring just wonāt get done, and then something will go wrong and cause a lot of problems before we realise and try to fix things.
This has applications in a lot of areas and is valued by a lot of people. I work with a large number of industrial, scientific and government partners.
Improving the underlying mathematical tooling behind figuring out when complex systems start to show problems reduces existential risk. If for some reason we all die, itāll be because something somewhere started going very wrong and we didnāt do anything about it in time. If my research has anything to say about it, āthe monitoring system cost us too much power so we turned it offā wonāt be on the list of reasons why that happened.
I also donate to effective global health and development interventions and support growth of the effective giving movement. I believe that a better world is eminently possible, free from things like lead pollution and neglected tropical diseases, and that everyone should be doing at least something to try to genuinely build a better world.
I disagree voted, but I am not disagreeing about this happeningāI am disagreeing about it being a good idea.
People who are exceptionally talented should be exceptionally capable of ignoring all the other bad advice they get, and the presence of more advice that is bad for them shouldnāt hurt them. Also they should be capable of understanding EA as a project about āthe most good you can doā and be on board with solid, actionable advice for the average person being easily accessible around the place.
One of EAās biggest failings is its community structures actively causing harm to people interested in EA, and more grounded advice would go a long way towards addressing that.