CNetS alumnus Mihai Avram is the recipient of the 2020 Indiana University Distinguished Master’s Thesis Award for his work on Hoaxy and Fakey: Tools to Analyze and Mitigate the Spread of Misinformation in Social Media. This award recognizes a “truly outstanding” Master’s thesis based on criteria such as originality, documentation, significance, accuracy, organization, and style. Some of the findings in Mihai’s thesis have recently been published in the paper Exposure to social engagement metrics increases vulnerability to misinformation, in The Harvard Kennedy School Misinformation Review. Congratulations Mihai!
Onur Varol, a postdoctoral research associate at Northeastern University who earned his Ph.D. in Informatics from CNetS, has been honored with the University Distinguished Ph.D. Dissertation Award for 2018, which is the highest honor for research Indiana University bestows on its graduate students. “I am extremely happy to receive this award,” Varol said. “I would like to especially thank my advisor, Filippo Menczer, and the Informatics department for nominating me. I was lucky to be surrounded by the best advisors, collaborators, and research group I could imagine during my doctoral studies, and I am a proud IU alumni and a Hoosier.” Varol’s dissertation, “Analyzing Social Big Data to Study Online Discourse and Its Manipulation,” provided insights into analysis of online conversations and mechanisms used for their manipulation. Varol built machine learning frameworks like Botometer to detect social bots. More…
Every year the Informatics Department awards a prize to an Associate Instructor (AI) who has excelled at teaching and service. For the 2016-2017 academic year, CNetS PhD candidate Clayton A. Davis was singled out among a crowd of outstanding nominees as being particularly deserving of this award. The nomination noted Clayton’s commitment to teaching and learning, the above-and-beyond work that he put into preparing creative assignments, and his overall excellence as an instructor. Clayton was “born to disseminate knowledge,” and we predict for him a brilliant career as a teacher and communicator, as well as researcher. Congratulations!
Congratulations to Emilio Ferrara for winning the 2016 Junior Scientific Award from the Complex Systems Society (CCS), which unveiled the winners of the CSS scientific awards in a packed plenary session at ECCS’16 in Amsterdam, the Netherlands. Continue reading Emilio Ferrara receives Junior Scientific Award at CSS’16
The CNetS poster “The Rise of Social Bots in Online Social Networks” by Emilio Ferrara, Onur Varol, Prashant Shiralkar, Clayton Davis, Filippo Menczer, and Alessandro Flammini won a Best Poster Award at CCS 2015. The poster was presented by Clayton Davis. The results will also appear in the paper “The Rise of Social Bots” to be published in Comm. ACM (in press, preprint).
The paper “Modularity and the Spread of Perturbations in Complex Dynamical Systems” by Artemy Kolchinsky, Alexander J. Gates and Luis M. Rocha, and the poster “Information Theoretic Structures of the French Revolution” by Alexander Barron, Simon DeDeo and Rebecca Spang won additional awards.
Finally, our former postdoctoral scientist Bruno Gonçalves (now tenured faculty member at Aix-Marseille Université) received a Junior Scientist Award from the Complex Systems Society for his contributions to the study of human social behavior from large-scale online attention and behavioral data. This is the second Junior Scientist Award for CNetS (the first was won by Filippo Radicchi).
Congratulations to the CNetS team!
Congratulations to Filippo Radicchi for winning the First Junior Scientific Award from the Complex Systems Society (CCS), which unveiled the winners of the first CSS scientific awards in a packed plenary session at ECCS’14 in Lucca, Italy. CSS also honored Prof. Eugene Stanley with the Senior Scientific Award, and Dr. Giovanna Miritello with a second Junior Scientific Award. Quoting the nomination:
Filippo Radicchi is among the best young researchers in complex systems and networks, with contributions that span from theoretical studies of structural and dynamical properties of networks to analyses of large-scale empirical data about human behaviour and performance.
We could not agree more.