The 15^th edition of the Illicit Network Workshop will be hosted by the Complexity Science Hub on June 29-30 2026. The location is conveniently located at a 20 minute train ride from Vienna International Airport. The conference venue is located in the historical city center.

Submission Guidelines

Proposals for presentations/papers (Stream 1: 1,000 words minimum; Stream 2-4: 300 words maximum) can be submitted via EasyChair (https://easychair.org/conferences/?conf=inw2026) before March 2 2026. Proposals should include the type of paper (see below), the title, authors, author affiliations of the presentation, and a clear description of the research questions, data, and methods of analysis used. Abstracts of stream 1 papers should also include preliminary findings when available.

2 types of proposals are welcome

• Stream 1: Publication ready researchPresenters will be required to submit a full paper by the June 22 2026 deadline for consideration for publication in a special issue (more details to follow). Presenters will have 15 minutes to present completed research followed by 5 minutes questions and answers
• Stream 2: In-progress researchPresenters will have 10 minutes to present early-stage research followed by 10 minutes feedback from delegates

Committees

Program Committee

• Bernhard Haslhofer <haslhofer@csh.ac.at>
• Rafael Prieto-Curiel <prieto-curiel@csh.ac.at>
• Aili Malm <Aili.Malm@csulb.edu>
• David Bright <david.bright@deakin.edu.au>
• David Decary-Hetu <david.decary-hetu@umontreal.ca>
• Martin Bouchard <mbouchard@sfu.ca>

Organizing committee

• Bernhard Haslhofer <haslhofer@csh.ac.at>
• Rafael Prieto-Curiel <prieto-curiel@csh.ac.at>

Venue

Since 2016, the Complexity Science Hub has conducted independent science for a better understanding of our complex world. We advance progress by extracting meaning from the enormous amounts of data representing our planet in its various dimensions: the economy, human migration, health and disease, climate crisis, social values, urban development, conflict, and more. Our research approach lets us see the world in a new way, as interconnected, dynamic, co-evolving, extensive networks, that allow us to understand these complex systems and identify their weaknesses and strengths. Using this knowledge, we can make evidence-based statements about how complex systems will respond to change and propose realistic interventions to move them in a positive direction for society. In other words, we want to find solutions for a better world.

We employ more than 70 independent researchers who together cover knowledge in disciplines ranging from algorithms to zoonoses and everything in between. Each researcher has a breadth of expertise – most often a disciplinary specialization (e.g., sociology, economics, medicine) in addition to physics, computation, and/or applied mathematics. We are unified by the vocabulary of complexity science – a set of computational, mathematical, data analytic, and modeling tools. While the majority of our researchers are established scientists working at the forefront of complexity science, one-third are doctoral students. Their unique transdisciplinary training at the Complexity Science Hub qualifies them to contribute to the global challenges ahead and to bring complexity science into new sectors.

Contact

All questions about submissions should be emailed to Bernhard Haslhofer <haslhofer@csh.ac.at>.