Complex Networks Winter Workshop
December 14th to the 19th 2025
(with arrival on the 13th and departure on the 20th)
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 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. Including:
- 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.
Up to 40 international graduate students, postdoctoral fellows and professionals from different disciplines will be accepted.
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.
Application Deadline: May 15th, 2025.
Notice of acceptance: June 1st, 2025
Registration Deadline: July 1st, 2025
Application Requirements
- Completed application form
- Up-to-date curriculum vitae


The Winter Workshop will be held at the historic Monastère des Augustines in Quebec City, a serene haven of wellness and heritage, originally founded in 1639.
Accommodation
All participants will stay in one of the Monastery's rooms for the entire duration of the workshop.
Your participation fees include:
- lodging at the monastery
- breakfast
- lunch breaks
- coffee breaks
- access to the monastery
- guided tour of the monastery
- cocktail reception
Room Types and Related Registration Fees
Chambre Authentique: 1451.43 CAD
Chambre Authentique Double: 1080.81 CAD per person
Contemporaine Simple: 1784.70 CAD
Contemporaine Double: 1164.15 CAD per person
Invited mentors
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
"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
"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
"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













