4 papers
On the Meta-Design of Allocation Problems
Unai Fischer-Abaigar, Emily Aiken, Christoph Kern +1
There is an extensive literature that studies how to find optimal policies in resource allocation problems, taking the underlying design parameters that define the allocation, such…
A Machine Learning Approach for Detection of Mental Health Conditions and Cyberbullying from Social Media
Edward Ajayi, Martha Kachweka, Mawuli Deku +1
Mental health challenges and cyberbullying are increasingly prevalent in digital spaces, necessitating scalable and interpretable detection systems. This paper introduces a unified…
Predicting Well-Being with Mobile Phone Data: Evidence from Four Countries
M. Merritt Smith, Emily Aiken, Joshua E. Blumenstock +1
We provide systematic evidence on the potential for estimating household well-being from mobile phone data. Using data from four countries - Afghanistan, Cote d'Ivoire, Malawi, and…
Privacy Guarantees for Personal Mobility Data in Humanitarian Response
Nitin Kohli, Emily Aiken, Joshua Blumenstock
Personal mobility data from mobile phones and other sensors are increasingly used to inform policymaking during pandemics, natural disasters, and other humanitarian crises. However…