Events

Contributed Talk by Xindi Wang, Alexander J. Gates, Magnus Resch and Albert-László Barabási

On July 2nd, 10–12 EST, as part of the Networks 2021 conference, a joint Sunbelt and NetSci Conference, Nature editors Mary Elizabeth Sutherland and Federico Levi will host a round table on Computational Social Science.

The satellite is being hosted by our AccelNet-MultiNet team. AccelNet-MultiNet program is an NSF-supported effort, led jointly by the Network Science Institutes of Northeastern University (NetSI) and Indiana University (IUNI), to expand international collaborations centered around the exploration of multilayer network science.

Satellite at Networks2021 organized by WiNS - society fostering opportunities for the education, employment, and career advancement of women and non-binary researchers in Network Science.

The Networked Justice satellite will provide a forum for network scientists to convene and discuss the ways that networks intersect with issues of social equity, inclusivity, and justice, and how networks can be used to promote just outcomes for marginalized populations.

Hosted by NULab for Texts, Maps, and Networks, the panel will feature: David Lazer (Northeastern University), Andrea Parker (Georgia Institute of Technology), Jacqueline Wernimont (Dartmouth College), and Alessandro Vespignani (Northeastern University) speaking about their multidisciplinary research into COVID-19 and its impacts.

The Indiana University Network Science Institute and Northeastern University Network Science Institute present: Alessandro Vespignani - MultiNet Epidemiology at the Time of COVID-19

A two day-long satellite of the NetSci 2020 conference dedicated to diversity in Network Science.

NetSI, in conjunction with DK-Lab and NSF, is sponsoring the Fifth Workshop on Critical and Collective Effects in Graphs and Networks (CCEGN-V). The workshop aims at facilitating the transfer of ideas, insights and interdisciplinary approaches to tackle new and exciting problems in random graph theory and its applications to real networks.