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, develops network-based machine learning tools to enhance crowd-aware system design. I am also affiliated with the Community Data Science Collective (CDSC) working with Aaron Shaw to investigate network effects on conflict dynamics in online collaborative communities. My previous research developed computational methods for harnessing 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 (ASONAM). pre-print
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 (ASONAM). pre-print
Dambanemuya, H.K. and Horvát, E-Á., 2019. Harnessing Collective Intelligence in P2P Lending. In Proceedings of the 10th ACM Conference on Web Science (WebSci ‘19). 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