Ágnes Horvát, Assistant Professor
Agnes develops network and data science approaches to understand and support collective intelligence in Web-based systems. Capitalizing on her background in physics, computer science, film and media, her work uses a multidisciplinary empirical approach to uncover the dynamics of success in knowledge creation and cultural markets, as well as to identify expressions of the wisdom of crowds that facilitate decision-making and innovation.
Henry Dambanemuya (Technology and Social Behavior)
Henry’s research examines potential ways in which machine learning, complex networks analysis and computational social science can be harnessed for social innovation. The core premise of his work has broad implications for how modern civilisations can effectively coordinate their responses and communication strategies in high-stakes real-world challenges, such as peace agreements and capital allocation in online crowdfunding.
Keywords : Applied Machine Learning, Complex Networks, Computational Social Science
Rod Abhari (Media, Technology, and Society)
Rod Abhari analyzes the diffusion of scientific (mis)information across online platforms. In doing so, he aims to both improve the accuracy of scientific reporting and combat the spread of science-based populism. He holds an M.A. in Communications from the University of Wisconsin – Madison and an M.A. in Science and Technology Studies (STS) from the University of Maastricht in the Netherlands.
Keywords : Science and Health Communication, Methods for Social Change, Hyperlink Analysis
Herminio Bodon (Technology and Social Behavior)
Herminio’s research interests are in Science of Science, Applied Machine Learning, and Collective Intelligence. His work applies data science to study scientific discussions on different social media platforms. Currently he is studying who is more likely to share and discuss scientific papers on Twitter.
Katherine O’Toole (Technology and Social Behavior)
Katherine’s research focused on the effects that technology and computing have on larger social networks and group behavior, as well as the ability of technology to connect us and change the way ideas are developed and disseminated. Her research focuses on developing a better understanding of creativity, especially within existing social contexts and networks, and applying this knowledge to design tools that will help users be more innovative and creative.
Keywords : Complex Network Analysis, Human-Computer Interaction, Social Computing
Yixue Wang (Technology and Social Behavior)
Yixue analyzes human behavioral data as a means to enhance diversity, maintain civility and eliminate biases. She is specifically interested in promoting online deliberation, supporting journalistic sourcing practices via online comments, designing article-level news personalization, and promoting gender equality in the music industry.
Keywords : Computational Journalism, Computational Social Science, Human-Computer Interaction
Joseph Abruzzo (Kellogg School of Management, Marketing)
Joseph’s research interests are at the intersection of consumer behavior and network science. His current projects examine geographic location as a determinant of charitable giving and the influence of consumers’ social circles on the their attachment to brands.
Keywords : Consumer Behavior, Psychology, Charitable Giving, Brand Attachment, Social Networks
Kyosuke Tanaka (Media, Technology, and Society)
Kyosuke’s research explores how individuals develop and capitalize on their awareness of social and communication ties in their team and organization to accomplish their tasks using various computational, statistical, and experimental methods.
Keywords : Network Science, Network Cognition, Human Heuristics, Teamwork, Human-Machine Co-operations
Sohyeon Hwang (Media, Technology, and Society)
Sohyeon’s research interests center around understanding the complexity of governing heterogeneous online spaces. One line of her work examines the dynamics and significance of localized governance mechanisms and another line focuses on information distortion as content moves across such spaces.
Keywords : Online Governance, Social Computing, Information Distortion, Complexity
Jasmine Wu (Media, Technology, and Society)
Jasmine’s research interests include social network analysis, teams in organizations, and scientific collaboration. Jasmine applies advanced computational tools to understand team processes in both academic and industrial settings to further improve management and team performance. Prior to NU, she graduated from Cornell University with a Bachelor of Science degree in Information Science and Communication. There, her research focused on gender differences in immersive virtual environments and co-authorship networks.
Haomin Lin (Georgia Institute of Technology, Computational Science and Engineering)
Haomin is passionate about studying how information is diffused in online media, how the information flow in complex social networks can affect individuals’ subjective beliefs, and how this process can thus change the public opinion and group behaviors based on big data analytics. In the past, he has conducted data analysis on text data from different media and run simulations on information diffusion models to observe social phenomenon and reason the mechanisms behind them.
Keywords : Computational Social Science, Information Diffusion Online, Social Networks, Data Analysis, Text Mining.
- Orsolya Vásárhelyi, University of Warwick
- Eunseo (Dana) Choi, MIT
- Igor Zakhlebin
- Gaoyuan (Louis) Huang, Visa Inc.
- Isabella Loaiza-Saa, MIT Media Lab
- Melanie De Vincentiis, Sciences Po