Modern science is increasingly carried out in collaborations, which affect scientific output and success. Notably, these collaborations are not centrally managed, but are formed by individual scientists. When considering all these collaboration decisions, an evolving collaboration network emerges. To understand the interplay between this network and scientific success, we will have one invited speaker (Dr. Riccardo Gallotti) and two contributed talks.

1. Dr. Giacomo Livan (University College London, UK)
   Early coauthorship with top scientists predicts success in academic careers (RECORDING)

2. Dr. Riccardo Gallotti (Fondazione Bruno Kessler, IT)
   Effects of homophily and academic reputation in the nomination and selection of Nobel laureates (RECORDING)

3. Ana Marı́a Jaramillo (University of Exeter, UK)
   Gender differences in productivity and collaboration networks of top-ranked academics (RECORDING)

The main metrics used to quantify scientific success are citation counts, h-index, and the impact factor of journals. Even though scientometricians are aware of the shortcomings and faultiness of these metrics, the scientific community still relies on them.

One major shortcoming is that different scientific fields have different citation cultures. For example, Fields medal winners might have fewer citations, a smaller h-index than a less accomplished scientist working in molecular biology. Another problem is the notorious cumulative advantage of scientists that have older publications: older publications have more time to attract citations. If we naively use citation data to develop success metrics, we are unable to capture the impact of scientists.

In our satellite, one invited talk from Prof. Ludo Waltmann and two other speakers will present recent advances to address these problems and quantify scientific success.

1. Shuqi Xu (University of Electronic Science and Technology of China, CN)
   Unbiased evaluation of ranking metrics reveals consistent performance in citation data (RECORDING)

2. Prof. Ludo Waltman (Centre for Science and Technology Studies, NL)
   Measuring scientific success: Peer review, citations, impact factors, and beyond (RECORDING)

3. Felber J. Arroyave Bermudez (University of California - Merced, US)
   Fuzzy problems and the emergence of neglected research domains (RECORDING)

To understand scientists' careers many factors must be considered, e.g., social networks, geographic distance, institutional prestige, mentorship. For example, the social network of a scientists can positively affect his/her visibility. On the other hand geographical and institutional constraints can limit access to career opportunities. Prof. Alexander Petersen and two contributed talks will address this issue.

1. Prof. Frank van der Wouden (University of Hong Kong, CN)
   Impact of geographical distance on acquiring know-how through scientific collaboration

2. Prof. Alexander Petersen (University of California - Merced, US)
   Quantifying the impact of weak, strong, and super ties in scientific careers - (RECORDING)

3. Dr. Luca Verginer (ETH Zurich, CH)
   Memory in scientific careers - (RECORDING)