I am a Ph.D. student in Technology and Social Behavior, a joint program in computer science and communications at Northwestern University. My research, supervised by Ágnes Horvát, advances complex network analysis and machine learning methods to study social processes. My previous research developed computational methods for harvesting social signals to inform peace processes implementation and monitoring in Colombia. Funded by the U.S. Army Research Lab (ARL) and National Science Foundation (NSF), this work was a collaboration between the University of Notre Dame’s Kroc Institute for International Peace Studies and the Interdesciplinary Center for Network Science and Applications (iCeNSA).
Dambanemuya, H.K., Joshi, M., and Horvát, E-Á., 2019. Network Perspective on the Efficiency of Peace Accords Implementation. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. IEEE/ACM, Vancouver, BC, Canada, pp.341-348. pdf
Dambanemuya, H.K., and Horvát, E-Á., 2019. Network-Aware Multi-Agent Simulations of Herder-Farmer Conflicts. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. IEEE/ACM, Vancouver, BC, Canada, pp.721-722. pdf
Dambanemuya, H.K. and Horvát, E-Á., 2019. Harnessing Collective Intelligence in P2P Lending. In Proceedings of the 10th ACM Conference on Web Science. ACM, New York, NY, USA, pp.57-64. pdf
Nigam, A., Dambanemuya, H.K., Joshi, M. and Chawla, N.V., 2017. Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring. Big Data, 5(4), pp.337-355. pdf
Dambanemuya, H.K., and Diakopoulos, N., 2020. Alexa, What is going on with the Impeachment? Evaluating Smart Speakers for Information Quality. Computation + Journalism Symposium: Boston, MA
Dambanemuya, H.K., and Horvát, E-Á., 2019. Harnessing Collective Intelligence to Improve Decision-Making: Predicting Long-Term Success in P2P Lending. International Communication Association (ICA) Conference: Washington, D.C.