Complex Networks Winter Workshop
When: December 17-22, 2023
Location: Monastère des Augustine, Québec City, QC, Canada
Hashtag: #CNWW23
Follow us on Twitter! @CNWWs
IMPORTANT UPDATE: This is the first CNWW hosted at the Monastery after the Virtual CNWW hosted online due to the COVID-19 pandemic. CNWW aims to connect people across borders to solve interconnected problems, and we are happy to be back as a social and physical event.
To celebrate, we are hosting CNWW as a free event (no registration fees, with complimentary breakfast, lunch and coffee breaks) with priority given to participants of the Virtual CNWW. Participants will be responsible for their travel and lodging at the Monastery based on our special rate as always.
This return to the Monastery will feature a more flexible structure with blurred lines between faculty and participants. Many of our previous participants have done amazing science during the pandemic and we are hoping to follow an open schedule where all participants can present their work and ideas, with plenty of time for brainstorms and new projects as always. We will share details soon but you can already find the application form here.
About
The Complex Networks Winter Workshop (CNWW) is an international school that offers an extraordinary opportunity for participants to engage in rigorous transdisciplinary complexity science research alongside some of the top researchers in the field of networks. The CNWW is designed for graduate students, postdoctoral fellows, and professionals. The lectures will present open problems and recent advances in the field of complex networks. Participants of this program will collaborate in small transdisciplinary research groups involving other participants as well as faculty. All course lectures will be given in English.
Program Dates:
Up to 40 international graduate students, postdoctoral fellows and professionals from different disciplines will be accepted.
Application Deadline:
Application form can be found here.
Program Overview
The CNWW will focus on the themes detailed below and promote a lively, versatile and dynamic approach that includes lectures and a strong hands-on component framed by experts from a variety of disciplines.
- Introduction to Network Theory
- Random Networks
- Social, Ecological, Technological Networks
- Epidemiological Networks
- Big Data and Complex Networks
- Complex Networks applications in Northern Research
The training will also allow the development of interpersonal skills such as networking and international scientific collaboration, creativity and communication in a transdisciplinary research context.
Application Requirements
- Completed application form
- Up-to-date curriculum vitae
- Applications will be open here until:
Applications will be accepted from graduate students, postdoctoral fellows, faculty, and professionals. We envision a diverse cohort of participants for the CNWW, applicants from all disciplines with an interest in networks are encouraged to apply. Proficiency in English and some background in science or mathematics are required. Participants are expected to attend the entire session. Applicants are welcome from all geographic regions. Underrepresented minorities and women are encouraged to apply.
Faculty
Laurent Hébert-Dufresne
CNWW Director, Associate Professor, Department of Computer Science, and VCSI Leadership Steering Committee
Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.
Antoine Allard
CNWW Director and Associate Professor, Département de physique, de génie physique et d'optique, Université Laval, Québec, Canada
Antoine's research combines statistical mechanics, graph theory, nonlinear dynamics and geometry to develop mathematical models of complex networks and to study the structure/function relationship specific to complex systems. Recent projects involve the use of deep learning to simulate dynamical processes on networks, the use of non-Euclidean geometry to characterize the multiscale organization of the human connectome, and the use of percolation theory to highlight the role of superspreading events in the transmission dynamics of SARS-CoV-2.
Peter Dodds
Director, Vermont Complex Systems Institute and Professor, Department of Computer Science
Dodds's research focuses on system-level, big data problems in many areas including language and stories, sociotechnical systems, Earth sciences, biology, and ecology. His foundational funding was an NSF CAREER award granted to study sociotechnical phenomena (2009-2015). Together with Chris Danforth, he co-runs the Computational Story Lab.
Samuel Scarpino
Director of AI + Life Sciences and a Professor of the Practice in Health Sciences and Computer Science, Northeastern University
I am the Director of AI + Life Sciences and a Professor of the Practice in Health Sciences and Computer Science at Northeastern University. I also hold appointments in the Institute for Experiential AI and the Network Science, Global Resilience, and Roux Institutes. Prior to joining Northeastern, I was the Vice President of Pathogen Surveillance at The Rockefeller Foundation. Outside of Northeastern, I am an External Professor at both the Santa Fe Institute and the Vermont Complex Systems Center and a Co-Founder of Global.health.
Jean-Gabriel Young
CNWW Director and Assistant Professor, Department of Mathematics and Statistics and VCSI Leadership Steering Committee
Jean-Gabriel is a master of inference using complex models, data, and networks. His recent work focuses on new exciting inference problems in network science, including the inference of the past of dynamical networks, network reconstruction from noisy data; and the inference of high-order interactions from pairwise data.
Juniper Lovato
CNWW Director, Assistant Professor, Department of Computer Science, and VCSI Leadership Steering Committee
Juniper Lovato is an educator and researcher in the field of complex systems and data science. Her current research focuses on data ethics, group privacy, privacy policies, AI ethics, ethics of AI art, complex systems, the science of stories, and open source ecosystems.
Alice Patania
CNWW Faculty, Research Assistant Professor, Department of Mathematics and Statistics, and VCSI Leadership Steering Committee
Alice is a computational topologist and her research focus is to develop and apply new topological approaches to study complex systems. Currently, I apply these techniques to brain and social networks.
Testimonials
The CNWW allowed me to establish bonds with my peers in network science from around the globe. Since the workshop, I have been connecting with them and I think these could become lasting friendships that will foster collaboration and a broader, more diverse understanding of network science through casual discussion.
Sam Rosenblatt
University of Vermont
The most engaging workshop I have ever attended! The organizers put great effort in encouraging a collaborative, multi-disciplinary environment where ideas about complex networks could be explored.
Niall Keleher
U.C. Berkeley
The multiple disciplines represented by all the participants, the knowledgeable and highly approachable lecturers and mentors, the multicultural atmosphere and the historical location, the scientific content of the lectures, the imaginative research ideas, and the intense collaborative work that emerges during this event make CNWW one of most satisfying workshops that I have ever attended.
José R. Nicolás-Carlock
National Autonomous University of Mexico
CNWW was the perfect scholarly vacation. I learned so much, made new friends, experienced a beautiful city, and had a safe and supportive environment to take intellectual risks beyond what my typical responsibilities allow. I truly learned something from every single person I met at CNWW, and each welcomed me as someone from whom they could learn as well. I returned exhausted and exhilarated, brimming new knowledge and perspectives and excited for the cross-disciplinary connections I made with scholars from around the world. I would highly recommend participation in CNWW; the experience made me a better scholar and brought renewed vigor to my work. I am so thankful I had the opportunity to participate.
Sarah Shugars
Network Science Institute, Northeastern University
CNWW was a think tank, a refreshing intellectual experience that got me thinking about interesting topics that I otherwise have no time to think of in my daily work-life.
Anonymous
Contact
CNWW Director
Assistant Professor, Department of Computer Science at UVM
VCSI Leadership Steering Committee