Thursday, 26 September 2013

Job: postdoc on Crowdsourced conceptualization of complex scientific knowledge and discovery of discoveries”. Leiden

PostDoc position (3 years, starting 1st November 2013 or as soon as possible thereafter)

The PostDoc position is funded by the Swiss Sinergia Grant “Crowdsourced conceptualization of complex scientific knowledge and discovery of discoveries”. The goal of this project is to make a significant step towards the semi-­‐automated conceptualization of scientific knowledge and its large scale analysis. This includes developing a participatory platform for knowledge elicitation as well as resolving a number of deep theoretical problems that have to be tackled prior to designing such a system. The results of these theoretical investigations will be implemented in the participatory platform, in order to increase its usability and data-­‐harvesting power and at the same time providing a validation framework for tuning the methods and algorithms. The project will be based on the ScienceWISE system (, already used by many scientists for semantically importing, storing and searching scientific data, and will develop it further.

Within the project, the specific contribution of the PostDoc position funded in Leiden will be the development and validation of algorithms for “networks of networks” based on scientific information (including the proper definition of their topological properties; multi-­‐level community detection and hierarchical clustering; coarse-­‐graining; studying the time evolution of multi-­‐networks, etc.). The ScienceWISE platform will provide significant opportunity and user feedback for real-­‐time validation of such methods.

As all postdoctoral positions in the Netherlands, the position is a regular employment contract and is renewed for 2 years after the first one, for a total of 3 years. Interested candidates should send an email with their CV and motivation to Alexey Boyarsky ( as soon as possible.

Wednesday, 18 September 2013

The simulation of Squazzoni & Gandelli's peer review simulation (downloadable)

Squazzoni, Flaminio, Gandelli, Claudio (2012, December 25). "Peer Review Model" (Version 2). CoMSES Computational Model Library.
Downloadable from:

The associated papers are:
Squazzoni F. and Gandelli C. (2013) Opening Black-Box of Peer Review. An Agent-Based Model of Scientist Behaviour, Journal of Artificial Societies and Social Simulation, 16 (2) 3: <>
Flaminio Squazzoni (2013) Can Editors Compensate for the “Luck of the Reviewer Draw” Effect in Peer Review? An Agent-Based Model. ESSA 2013 conference, Warsaw. (paper)

The papers from the session at ESSA 2013 on "Social simulation of science processes"

9th Conference of the European Social Simulation Association (ESSA), Warsaw, Sept. 2013
Parallel session: Social simulation of science processes
Session Chair: Flaminio Squazzoni
Location: Aula II, Warsaw School of Economics, "C" Building

Tuesday, 2013/09/17 16:00-17:45
  • Warren Thorngate and Wahida Chowdhury: By the numbers: Track record, flawed reviews, journal space, and the fate of talented authors (abstract) (full paper on SpringerLink)
  • Petra Ahrweiler, Nigel Gilbert and Andreas Pyka: Modelling research networks (extended abstract)
  • Melanie Baier: Heterogeneous, satisficing scientists on the road to scientific consensus (extended abstract)
  • Bulent Ozel: A Multi-agent Simulation Model on Individual Cognitive Structures and Collaboration in Sciences (extended abstract)
  • Flaminio Squazzoni, Francisco Grimaldo and Juan Bautista Cabotà: Can Editors Compensate for the “Luck of the Reviewer Draw” Effect in Peer Review? An Agent-Based Model (extended paper)

Sunday, 1 September 2013

An implementation of Gilbert's "A simulation of the structure of academic science" model

A netlogo version of the model described in:

Gilbert, Nigel. (1997). A simulation of the structure of academic science. Sociological Research Online, 2(2)3,

Which, as far as I am aware is the first multi-agent simulation of inter-scientist processes.

The model is accessible at the CoMSES model archive (