CSS Awards
In order to recognise contributions to the science of complex systems, CCS 2024 will present the following awards on behalf of the Complex Systems Society.
Senior Scientific Award
Sponsored by Frontiers in Big Data & Frontiers in Complex Systems
The most prestigious award granted by the society to recognize society members who have advanced the field of complexity science by achieving truly exceptional scientific results.
Junior Scientific Award
Granted by the society to young researchers (up to ten years after PhD completion) who have achieved outstanding results in complexity science in the areas representative of the CSS.
Emerging Award
The award granted by the society to young researchers (up to three years after PhD completion) and aimed at recognizing promising results in complexity science in the areas representative of the CSS.
Service Award
Awarded to members of the society for their efforts in promoting complex systems science and the CSS society nationally and internationally.
Special Award
The Special CSS award is the award granted by the society to distinguish personalities who, through their activity in society in general, contributed in some way to the development of the field of complex systems.
Conference Awards
We will also present the following awards for the following different conference contributions.
Best Talk
Sponsored by PeerJ Computer Science
Best talk (regular contribution) of the conference. One recipient.
Giovanni Mauro
Modeling gentrification as a relocation flow-based, spatio-temporal process
Best Lightning Talk
Sponsored by Taylor & Francis
Best lightning talk presentation of the conference.
Manran Zhu
Milgram’s experiment in the knowledge space: Individual navigation strategies
Best Poster
Sponsored by JPhys Complexity
Best poster presentation of the conference. Three recipients.
Beatriz Arregui-García
Patterns in Temporal Networks with Higher-Order Egocentric Structures
Zihao Chen
Measuring travel time variability and its spatial-temporal inequality using bus open data service (BODS)
Emma Fraxanet Morales
Leveraging frustration-based clustering approaches to identify societal fault lines and issue alignment in signed networks of online interaction