GreenApps: A Platform for Cellular Edge Applications

Ahmad, T., Reed-Sanchez, E., Zarinni, F., Afutu, A., Adjaho, K., Nyarko, Y., & Subramanian, L. (2018, June). GreenApps: A Platform For Cellular Edge Applications. In Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, (p. 45). ACM.

This paper presents the design, implementation and deployment of GreenApps, a ground-up platform that enables off-grid, near off-line and highly available cellular applications in rural contexts. The GreenApps platform has been deployed in two rural regions in Kumawu, Ghana and Pearl Lagoon, Nicaragua and supports different community-centric applications.

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Comparing Learning Models with Ideal Micro & Experimental Data Sets

Nyarko, Y., & Schotter, A. (2000). Comparing Learning Models with Ideal Micro & Experimental Data Sets. New York University.

This paper compares three learning models. The models compared are the Reinforcement Learning Model of Erev and Roth, the EWA model of Camerer and Ho and a Belief Learning model in which beliefs are elicited from subjects using a proper scoring rule…

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Learning, Quantal Response Equilibrium and Equilibrium in Beliefs

Nyarko, Y. (1998). Learning, Quantal Response Equilibrium and Equilibrium in Beliefs, Working Paper (No. 01-03, revised 2001). C.V. Starr Center for Applied Economics, New York University.

This paper makes two points. First, the modeling used in the rational (Bayesian) learning literature can be generalized to handle the repeated shocks to preferences inherent and implicit in models of quantal response equilibria (QRE).

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