WTFNS 2023
WTFNS features leading researchers in the field of network science who come from a variety of social science disciplines. The goal of WTFNS is to garner constructive feedback from leading network scientists on work in progress, and to build a professional support network for members of the NYUAD community working in this area.
Keynote Speakers
University of Pennsylvania
The reduction of race and gender bias in clinical treatment recommendations using clinician peer networks in an experimental setting
Esteban Moro
Massachusetts Institute of Technology + UC3M
Resilience of complex social systems to global challenges through behavioral data
Carnegie Mellon University
Individual and collective learning in experimental social networks facing "danger"
Presenters
The interdependence and knowledge flow between the East and the West in global AI research
I alone can fix it: The strongman narrative and democratic backsliding
Ingroup bias and othering process in close social ties: How Americans perceive COVID-19 susceptibility of others during the COVID-19 pandemic
Peer effects on residential solar panel diffusion
Characterizing the effect of retractions on scientific careers
Social status as a mechanism for motivation and coordination: The influence of high status on group-level cooperation
How explicitly targeting disadvantaged groups impacts their take-up of beneficial opportunities
The various roles of coworker networks for gender inequality
Pundits and framing struggles: The Gezi park resistance and its contested coverage in newspaper columns
Hiding opinions and social diffusion sources from AI algorithms