Events

Due to the COVID-19 pandemic, we have postponed all in-house events and speakers. We will begin to post virtual talks and meetings as they are scheduled.



Talk recording available

Jul

2020

11:00 am

Brennan Klein, Sarah Shugars and Matthew Simonson



Remote Talk

NetSI PhD Presentations

Jul

2020

2:00 pm

Octavian Ganea



Remote Talk

Hyperbolic Geometry in Machine Learning

Jun

2020

12:00 pm

Timothy Sacco



Remote Talk

Masculinity and the market: How capitalism and gender shape inequality in STEM

Jun

2020

3:00 pm

Sam Scarpino



Remote Talk

When words speak louder than numbers: Communicating the science of COVID-19

Jun

2020

10:30 am

Alessandro Vespignani



Special Event

Community. Conversation. Connection.

May

2020

2:30 pm

President Aoun and Alessandro Vespignani



Special Event

Monitoring the spread of COVID-19

Apr

2020

2:00 pm

Michael Foley



Dissertation Defense

The Network Dynamics of Intragroup Conflict

Apr

2020

11:00 am

Barabási Lab Journal Club



Journal Club

COVID-19 Open Journal Club

Apr

2020

2:00 pm

Sarah Shugars



Dissertation Defense

Reasoning Together: Network Methods for Political Talk and Normative Reasoning

Apr

2020

3:30 pm

Daniel Segrè



Visiting Speaker

Environmental modulation of synthetic and natural inter-microbial interactions

Mar

2020

2:00 pm

Carolina Mattsson



Dissertation Defense

Financial Transaction Networks Describe and Model Economic Systems

Mar

2020

1:30 pm

Sam Scarpino



Visiting Speaker

COVID-19: Keep calm and wash your hands

Mar

2020

2:00 pm

MOBS Lab



Symposium

NetSI: MOBS Lab presents Coronovirus (COVID-19) Updates

Feb

2020

4:00 pm

Brent Reidy



Visiting Speaker

The Impossibility of Knowing Everything

Feb

2020

4:00 pm

Amin Rahimian



Visiting Speaker

Social Network Interventions for Faster and Further Diffusions



Talk recording available

Mar

2019

Mark Newman



Patterns and surprises in rich but noisy network data

Jan

2019

Jure Leskovec



Deep Learning on Graphs

Apr

2018

László Lovász



Hyperfiniteness, a decomposition principle for networks

Apr

2018

Duncan Watts



Computational Social Science: Exciting Progress and Future Challenges

Jan

2018

Boleslaw K. Szymanski



Failures, Dynamics, Evolution and Control of the Global Risk Network

Nov

2017

Sidney Redner



Densification, Emergent Modularity, and Related Mysteries of Complex Networks

Nov

2017

Mario Small



Understanding Personal Networks: The Limits of Big Data and the Perils of Common Sense

Sep

2017

Nicholas Christakis



Social Network Experiments

Jun

2017

Neo Martinez



Synthesizing Ecology with Ecological Networks

Apr

2017

Danielle Bassett



The Network Architecture of Human Thought

Mar

2017

Sandra González-Bailón



Networks and the Unintended Consequences of Communication

Feb

2017

Michael Macy



Can We At Least Agree on Science?

Dec

2016

David Jensen



Inferring Causal Models of Complex Relational and Dynamic Systems

Apr

2016

Jon Kleinberg



Network Models for Long-Range Planning with Behavioral Biases

Apr

2016

Lise Getoor



Collective Graph Identification

Unless otherwise noted, all NetSI talks and events take place at the Institute.‍

177 Huntington Ave.
Boston, MA 02215

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Stay tuned for upcoming events at NetSI!

‍

Jun

2020

CANCELLED - SINSA2020: Summer Institute in Network Science and its Applications

NetSI is hosting a summer institute with eight network science courses offered over two weeks. The 2020 Summer Institute in Network Science and its Applications (SINSA) will be a two-week long program offering (8) short, intensive courses that explore fundamental network science and special applications of network approaches.

May

2020

CCEGN2020: Critical and Collective Effects in Graphs and Networks

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.

Feb