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Prof. Dr. Matteo Valleriani


Max Planck Institute for the History of Science

Boltzmannstr. 22, D-14195 Berlin

Prof. Dr. Matteo Valleriani


Fellow | BIFOLD

Principal Investigator | Berlin Center for Machine Learning

Professor for Special Appointments | University of Tel Aviv

Honorary Professorship in History of Science | Technical University Berlin

Research Group Leader at Dept. I | Max Planck Institute for the History of Science in Berlin

Matteo Valleriani is Research Group Leader in Dept. I, Honorary Professor at the Technische Universität Berlin, Professor for Special Appointments at the Faculty of Humanities at Tel Aviv University, and Principal Investigator of the Project “Images and Configurations in Corpora of University Textbooks” at the Berlin Center for Machine Learning.

2011 Paul-Bunge-Preis: Hans Jenemann Stiftung. Gesellschaft Deutscher Chemiker
2010 Marc-Auguste Pictet Prize: Société de Physique et d’Histoire Naturelle of Geneva
2007 International Museum Communication Award 2007 (3rd position) for the virtual exhibition. Einstein – Ingenieur des Universums (co-author)
1998 Carlo D’Amelio Award in Philosophy of Science. Department of Philosophy of the University of Naples “Federico II”

  • Cloud Computing
  • Big Data
  • IT Management
  • Resource Management
  • AI-supported IT Operations
  • HPC

BIFOLD Update| Dec 03, 2023

New open research positions

Join BIFOLD and collaborate with renowned experts on cutting-edge Machine Learning and Data Management research! Develop robust, trustworthy, and sustainable AI solutions with our team of international scientists. 

Machine Learning| Sep 21, 2023

Peter-Haber-Preis for AI in historical sciences

Bachelor student Anika Merklein's award-winning poster uses AI to unveil secrets of early printing.

Digital Humanities| Dec 05, 2022

Detecting Visual Elements in Historical Documents

Historians are increasingly in need of digital tools to process and extract information from electronic copies of historical sources. BIFOLD scientists developed YOLO (You Only Look Once).

Machine Learning| Jun 29, 2022

The shared scientific identity of Europe

The project Sphere: Knowledge System Evolution and the Shared Scientific Identity of Europe is one of the leading Digital Humanities projects, exploring a large corpus of more than 350 book editions about geocentric cosmology and astronomy from the early days of printing between the 15th and the 17th centuries (Sphaera Corpus) for about 76.000 pages of material. The relatively large size of this humanities dataset presents a challenge to traditional historical approaches, but provides a great opportunity to computationally explore such a large collection of books. In this regard, the Sphere project is an incubator of multiple Digital Humanities (DH) approaches aimed at answering various questions about the corpus, with the ultimate objective to understand the evolution and transmission of knowledge in the early modern period.

Digital Humanities| Jul 01, 2021

In search of Europe’s scientific identity

In the past, scholars used to pore over dusty tomes. Today Dr. Matteo Valleriani, group leader at the Max Planck Institute for the History of Science as well as honorary professor at TU Berlin and fellow at the Berlin Institute for the Foundations of Learning and Data (BIFOLD), uses algorithms to group and analyze digitized data from historical works. The term used to describe this process is computational history. One of the goals of Valleriani’s research is to unlock the mechanisms involved in the homogenization of cosmological knowledge in the context of studies in the history of science.

BIFOLD Update| Aug 06, 2020

An overview of the current state of research in BIFOLD

Since the official announcement of the Berlin Institute for the Foundations of Learning and Data in January 2020, BIFOLD researchers achieved a wide array of advancements in the domains of Machine Learning and Big Data Management as well as in a variety of application areas by developing new Systems and creating impactfull publications. The following summary provides an overview of recent research activities and successes.

Digital Humanities| Jun 04, 2020

New research fellow Olga Nicolaeva

Prof. Dr. Matteo Valleriani’s research group at MPIWG will expand by one research fellow: Olga Nicolaeva. In the frame of BIFOLD they will create a predictive Machine Learning model, which is able to establish a causal connection between distribution of ‘knowledge atoms’ (illustrations, tables, text parts) in the corpus of early modern textbooks on geocentric cosmology.