Shared commitment to data-driven approach will help identify new policy solutions to reduce poverty and increase economic mobility in the US.
From scallop fishing in New Bedford to deforestation in the tropics, “our goal is to get some empirical traction on the problem,” says PhD student Aaron Berman.
Project led by MIT economist Rob Townsend aims to help low- and middle-income countries assess and utilize new technologies to improve central banks’ functions.
A new study shows someone’s beliefs about an LLM play a significant role in the model’s performance and are important for how it is deployed.
The new professorship will enable continued economics scholarship and help the chairholder train and support future economists.
The MITx MicroMasters in Data, Economics, and Design of Policy program educates learners around the world using its data-driven approach to poverty alleviation.
“I would like to understand the extent to which we understand things,” the MIT economist says.
In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.
Ranking at the top for the 13th year in a row, the Institute also places first in 11 subject areas.
The fellowships provide five years of funding to doctoral students in applied science, engineering, and mathematics who have “the extraordinary creativity and principled leadership necessary to tackle problems others can’t solve.”
Letting people work with a “navigator” dramatically increases how often they move to higher-opportunity neighborhoods.
Fifteen new faculty members join six of the school’s academic departments.
Students have new avenues for learning and research on the most effective approaches to fighting poverty in the US and other high-income countries.
The fellowship funds graduate studies at Stanford University.
The acclaimed cellist and writer discussed his new memoir and reflected on a remarkable musical career.