Diversify NetSci is an initiative aiming at fostering diversity in the field of Network Science in terms of race, gender, sexual orientation, geographical origin, and other axes of identity. Diversify NetSci aims to highlight the ongoing contributions of underrepresented groups to the field of Network Science and create a community where we can discuss the visible and invisible barriers these groups face in research and academia.
Over the past dozen years, Network Science has come into its own as a field, with well established conferences and journals, several degree programs around the world, and a growing pool of resources for kindergarten through post-graduate education and beyond. In addition, the rise of data science and proliferation of machine learning throughout the private sector, non-profits/ngos, and government, means that methods from network science are increasingly touching many aspects of our lives and businesses. As our field continues to grow and mature, establish degree programs and academic departments, and define a canon of introductory and advanced literature, it is important to identify and nurture diversity in our ranks and in our publications.
The goals for the satellite include:
Who Should Attend: Everyone! Although the agenda will include sessions for diverse attendees, Diversifying Network Science is a topic for every network scientist. Anyone committed to a welcoming, inclusive Network Science should attend.
Diversify NetSci is looking for several showcase speakers for a lightning session at NetSci 2023. The selected showcase speakers will be asked to prepare a 10-minute research talk.
Adriana Manna (Manna_Adriana@phd.ceu.edu), Central European University
Dina Mistry, PhD (email@example.com), Data Scientist
Evelyn (Evangelia) Panagakou, PhD (firstname.lastname@example.org), Northeastern University
C. Brandon Ogbunu (email@example.com), Yale University
Alessandra Urbinati, PhD (firstname.lastname@example.org), Νοrtheastern University