Simple Autonomous Agents Can Enhance Creative Discovery in Human Groups
11 | Artificial Intelligence (AI) , Bots , Breadboard Software , Contagion Intervention , Experiment , Hybrid Systems , Methodology , NAC Favorite , Online Network , Social Contagion , Social Network

Citation:

Ueshima A, Jones MI, Christakis NA. Simple autonomous agents can enhance creative semantic discovery by human groups. Nature Communications. 2024 Jun 18;15(1):5212. doi: 10.1038/s41467-024-49528-y. PMID: 38890368; PMCID: PMC11189566.

Maternal and Child Health Interventions to Promote Behavior Change: A Population-Level Cluster-Randomized Controlled Trial in Honduras
9 | Experiment , Global Health , Honduras , LIMC , Maternal and Child Health (MNCH) , Methodology , RCT , Social Network , Trellis Software

Citation:

Oles W, Alexander M, Negron R, et al. Maternal and child health intervention to promote behaviour change: a population-level cluster-randomised controlled trial in Honduras. BMJ Open 2024;14:e060784. doi:10.1136/ bmjopen-2022-060784

Clinically relevant antibiotic resistance genes are linked to a limited set of taxa within gut microbiome worldwide
5 | Methodology , Microbiome , Honduras , Infectious Disease , Global Health

Citation:

Diebold PJ, Rhee MW, Shi Q, Trung NV, Umrani F, Ahmed S, Kulkarni V, Deshpande P, Alexander M, Thi Hoa N, Christakis NA, Iqbal NT, Ali SA, Mathad JS, Brito IL. Clinically relevant antibiotic resistance genes are linked to a limited set of taxa within gut microbiome worldwide. Nature Communications. 2023 Nov 14;14(1):7366. doi: 10.1038/s41467-023-42998-6. PMID: 37963868; PMCID: PMC10645880.

Algorithms for seeding social networks can enhance the adoption of a public health intervention in urban India (PNAS, 2022)
15 | Methodology , NAC Favorite , PNAS , India , Contagion Intervention , Experiment , Global Health , Social Contagion , Social Network , Sociocentric Network , Maternal and Child Health (MNCH) , LIMC , RCT , Trellis Software , Network Targeting

Citation:

M. Alexander, L. Forastiere, N. A. Christakis, and S. Gupta, “Algorithms for seeding social networks can enhance the adoption of a public health intervention in urban India,” PNAS, 119(30) e2120742119 (May 2022) DOI: https://doi.org/10.1073/pnas.2120742119

​Characterizing super-spreaders using population-level weighted social networks in rural communities
8 | Methodology , Honduras , Epidemic Disease , Infectious Disease , Social Network , Sociocentric Network , Trellis Software , Network Targeting

Citation:

S. Vishnempet Shridhar, M. Alexander, and N. A. Christakis, “​Characterizing super-spreaders using population-level weighted social networks in rural communities,” Philosophical Transactions of the Royal Society A, 380(2214) (Nov 2021) DOI: 10.1098/rsta.2021.0123​

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