About Us Section
The Forest of Advocacy is a project of the LazerLAB and the Northeastern Centers for Computational Social Science and Digital Humanities (NECSS/NEDH).
Authors:
Mauro Martino
Sasha Goodman
David Lazer
We acknowledge the valuable feedback received from participants in the Lazer Lab, including Yaniv Altshuler, Jesse Shore, Drew Margolin, Yu-ru Lin, and Piotr Sapieżyński.
Special thanks to Northeastern's College of Computer and Information Science for supporting the project.
Follow Us!
If you would like to see a particular organization visualized, let us know! We will do our best to include a new one every week.
Send suggestions and comments to: vispolitics@gmail.com
This material is licensed under the Creative Commons Attribution-ShareAlike license, which is compatible with Wikipedia.
This means you are free share and adapt the work, as long as this project is credited.
Additionally, the Lazer Lab requests that any organization publishing the images provides a digital copy before and after printing.
We welcome everyone to share this website, and to download the high-resolution files below:
DOWNLOAD THE HIGH-RES IMAGES (7 mb)
LazerLAB
Northeastern Centers for Computational Social Science and Digital Humanities (NECSS/NEDH).
The Lazer Lab conducts computational, empirical and experimental research on social influence, social networks and network science. The Lab's work is centered around the notion that how people and organizations are connected together is critical to understanding their functioning, success and failure.
Members of the lab come from backgrounds in Political Science, Computer Science, Psychology, Sociology, Economic Development, Organizational Behavior, Media Studies and Data Visualization, and bring these skills and perspectives to bear on complex research problems. The group has extensive collaborative relationships with other research teams in Boston and throughout the world.
Current projects include work on large scale communication networks, network effects in the political media, remote-sensed social networks, temporally disaggregated networks, methods for network analysis, and social influence on health, political beliefs, and problem solving in organizations.
