(2022) Pitt Cyber Accelerator Grant.
(2022) Pitt Momentum Funds.
(2021) Facebook Statistics for Improving Insights, Models, and Decisions request for proposals, Finalist.
(2021) Most Inspiring Research Paper Award at the ACM Collective Intelligence Conference.
Almaatouq, A., Rahimian, M.A., Burton, J.W., & Alhajri, A. (2022). The distribution of initial estimates moderates the effect of social influence on the wisdom of the crowd. SCIENTIFIC REPORTS, 12(1), 16546.Springer Science and Business Media LLC. doi: 10.1038/s41598-022-20551-7.
Collis, A., Garimella, K., Moehring, A., Rahimian, M.A., Babalola, S., Gobat, N.H., Shattuck, D., Stolow, J., Aral, S., & Eckles, D. (2022). Global survey on COVID-19 beliefs, behaviours and norms. NATURE HUMAN BEHAVIOUR, 6(9), 1310-+.Springer Science and Business Media LLC. doi: 10.1038/s41562-022-01347-1.
Eckles, D., Esfandiari, H., Mossel, E., & Rahimian, M.A. (2022). Seeding with Costly Network Information. Operations Research, 70(4), 2318-2348.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.2022.2290.
Hązła, J., Jadbabaie, A., Mossel, E., & Rahimian, M.A. (2021). Bayesian Decision Making in Groups is Hard. Operations Research, 69(2), 632-654.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/opre.2020.2000.
Moehring, A., Collis, A., Garimella, K., Rahimian, M.A., Aral, S., & Eckles, D. (2021). Providing normative information increases intentions to accept a COVID-19 vaccine. Available at SSRN 3782082.Center for Open Science. doi: 10.31234/osf.io/srv6t.
Almaatouq, A., Rahimian, M.A., Burton, J., & Alhajri, A. (2020). When social influence promotes the wisdom of crowds. Center for Open Science. doi: 10.31234/osf.io/f5ky3.
Holtz, D., Zhao, M., Benzell, S.G., Cao, C.Y., Rahimian, M.A., Yang, J., Allen, J., Collis, A., Moehring, A., Sowrirajan, T., Ghosh, D., Zhang, Y., Dhillon, P.S., Nicolaides, C., Eckles, D., & Aral, S. (2020). Interdependence and the cost of uncoordinated responses to COVID-19. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 117(33), 19837-19843.Proceedings of the National Academy of Sciences. doi: 10.1073/pnas.2009522117.
Eckles, D., Mossel, E., Rahimian, M.A., & Sen, S. (2019). Long ties accelerate noisy threshold-based contagions. SSRN Electronic Journal.Elsevier BV. doi: 10.2139/ssrn.3262749.
Banerjee, S., Mukherjee, N., & Rahimian, A. (2022). Deep learning for simulation-based Bayesian inference of hidden parameters in online reputation systems. In The 2nd Annual Artificial Intelligence in Management Workshop and Conference.USC Marshall.
Eckles, D., Mossel, E., Rahimian, A., & Sen, S. (2022). Long Ties Accelerate Noisy Threshold-based Contagions. In Conference on Network Science and Economics.The University of Chicago.
Hurtado, C., Rahimian, A., & Sherwin, M. (2022). A Random Generative Model of the Product Supply Chain Co-design Space. In IISE Annual Conference Proceedings.IISE.
Sassine, J., Rahimian, A., & Eckles, D. (2022). Influence of Repetition through Limited Recall. In Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 16(1), 863-872.Atlanta, Georgia, USA.
Burton, J., Hahn, U., Almaatouq, A., & Rahimian, A. (2021). Algorithmically Mediating Communication to Enhance Collective Decision-Making in Online Social Networks. In ACM Collective Intelligence Conference.