SUMMER SCHOOL IN SCIENCE MAPPING

Systematic Literature Reviews with Bibliometrix and Biblioshiny

The 2025 Summer School in Science Mapping will offer two sessions:

  • 3rd Italian Edition (taught in Italian) May 26–30, 2025
  • 1st International Edition (taught in English, with international guest speakers) June 9–13, 2025

Organized by the K-Synth academic spin-off and the Department of Economics and Statistics of the University of Naples Federico II, the school is directed by Professors Massimo Aria and Corrado Cuccurullo, authors of the Bibliometrix R package and the Biblioshiny web interface.

This five-day program offers intensive training on the methods and tools for producing Systematic Literature Reviews (SLRs) using Bibliometrix and Biblioshiny. It addresses the growing need for rigorous, data-driven reviews in an era of fragmented and rapidly expanding scientific production.

MAIN TOPICS

  • Knowledge Synthesis: Types of Systematic Literature Reviews
  • SAAS Workflow
  • Bibliometrix and Biblioshiny
  • Major Bibliographic Databases
  • Impact Metrics
  • Statistical Methods for Science Mapping
  • Network Analysis
  • Knowledge Structures: Conceptual, Intellectual, and Social

LEARNING OUTCOMES

Participants will develop technical and methodological skills in bibliometric analysis and science mapping, focusing on academic synthesis and research evaluation. Interactive sessions and individual consultations with faculty will support participants' research projects.

GUEST SPEAKERS (International Edition)

  • Nicolas Robinson-Garcia (University of Granada)
    Ramón y Cajal Fellow in bibliometrics and research evaluation. Scientific Director of U-CHASS and EC3 Research Group. Co-editor of Research Evaluation and Steering Committee member of the European Summer School for Scientometrics.
  • Manuel Jesús Cobo Martín (University of Granada)
    Associate Professor and main developer of SciMAT, specializing in knowledge extraction from scientific data using AI and complex systems.
  • Nicola De Bellis (University of Modena and Reggio Emilia)
    Coordinator of the Bibliometric Office and adjunct professor of Bibliographic Research. Longtime contributor to the European Summer School for Scientometrics.

TARGET AUDIENCE

PhD students, post-docs, and early-career researchers from universities and public/private research institutions aiming to strengthen their skills in bibliometric analysis and research synthesis.

REQUIREMENTS

  • Basic knowledge of R and RStudio
  • Familiarity with bibliometric concepts
  • Personal laptop for practical sessions

APPLICATION

Details and registration forms are available at the following link: https://www.bibliometrix.org/sssm

Application deadlines:

  • Italian Edition: April 30, 2025
  • International Edition: April 30, 2025

PREFSTAT summer schools

PrefStat (https://www.prefstat.org/) is a permanent inter-university research and working group that aims at disseminating statistical approaches in Preference Learning, understood as modeling and analysis of preference rankings and ordinal data related to preference analysis, jointly coordinated by University of Naples Federico II (DISES) and University of Oslo. 
 
PrefStat organizes a series of summer schools designed to provide a comprehensive overview of preference statistics, a rapidly growing field that has gained significant attention in recent years due to the numerous application fields involving human preferences (from recommender systems to Large Language Models, from surveys and psychological experiments to marketing, economics, and political science). PrefStat thus establishes a series of high-level courses on cutting-edge topics in the specific context of Statistical Learning from Preference Information, or Preference Learning. Preference learning is concerned with all data analyses involving preferences, rankings, ratings, clicking, or any kind of ordinal data. It entails modeling experiments involving a set of assessors (experts, judges, users) who express order relations about a set of items, thus being a subfield of both supervised and unsupervised statistical learning.
 
The school will provide a deep introduction to the topic and insight into more challenging tasks that are of interest in modern applications, such as handling partial, unstructured, exogenous information, individual preference prediction, and importance feature selection. 
 
The special feature of PREFSTAT summer schools is that each year, within the preference learning framework, the main topic is different (e.g., Bayesian preference learning, machine learning oriented preference learning, social choice, and so on).
 
The 2025 edition will be held in Oslo, Norway, from June 30 to July 4, 2025. 
 
For information contact Prof. Antonio D'Ambrosio or write to info@prefstat.org
 
 

Naples Summer School in Economics and Finance

The Naples School of Economics offers a Summer School program on recent advances in Economics and Finance available at the Department of Economics and Statistics of the University of Naples Federico II. The Summer School is addressed to Master students and PhD students in Economics and Finance.
 

Courses of the Naples Summer School in Economics and Finance of the VI Edition (16-19 June 2025):

  • Blockchain and its Applications, Marco Di Maggio (Imperial College)
  • Historical Economics, Francesco Drago (University of Catania)
  • Morality, Institutions, and Prosperity, Tore Ellingsen (Stockholm School of Economics)
  • Behavioural Macroeconomics, Nicola Pavoni (Bocconi University)
 
LEARNING OUTCOMES
Participants will gain insights into cutting-edge research in economics and finance through lectures by outstanding faculty.
After lectures, the faculty will be available to discuss research ideas and projects with participants.
 
APPLICATION

There are no admission fees. Admissions will be based on applicants' qualifications and research interests. The Summer School will take place at Monte Sant'Angelo Campus in the University of Naples Federico II. Logistic information will be provided to admitted students.

Participants will have to cover their travel and accommodation expenses.

Applicants must submit their application at the following link no later than 22 April 2025: 

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