Advisory Board and Editors Social Computing

Journal Factsheet
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
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Ana G Maguitman

Ana Gabriela Maguitman is a Principal Researcher at the National Council for Science and Technology (CONICET) of Argentina and an Associate Professor at the Department of Computer Science and Engineering of the Universidad Nacional del Sur (Argentina). She obtained her PhD in Computer Science at Indiana University (USA). Dr. Maguitman leads the Knowledge Management and Information Retrieval Research Group at Universidad Nacional del Sur. Her main research areas include Natural Language Processing, Machine Learning, and Information Retrieval.

Yuqing Mao

Dr. Mao is currently a research scientist in Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Prior to joining the NLM, he was a Professor at Nanjing University of Chinese Medicine in China. Dr. Mao has received a Ph.D. degree from the School of Computer Engineering, Nanyang Technological University, Singapore (2012), and B.S. and M.S. degrees in computer science from Nanjing University in China in 1997 and 2000, respectively.

Gang Mei

Dr. Gang Mei is an Associate Professor in Scientific Computing in Engineering at China University of Geosciences (Beijing). He received his Ph.D degree in 2014 from the University of Freiburg in Germany. His main research interests are in the areas of Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, Data Mining, and Network Science and Applications. He is the IEEE Member, and has served as an Academic Editor for the journals IEEE Access, and PeerJ Computer Science.

Filippo Menczer

Filippo Menczer is a distinguished professor of informatics and computer science and director of the Observatory on Social Media at Indiana University. He holds a Laurea in Physics from the Sapienza University of Rome and a Ph.D. in Computer Science and Cognitive Science from the University of California, San Diego. Dr. Menczer is an ACM Fellow and a board member of the IU Network Science Institute. His research interests span Web and data science, computational social science, science of science, and modeling of complex information networks. In the last ten years, his lab has led efforts to study online misinformation spread and to develop tools to detect and counter social media manipulation.

Luc Moreau

Luc Moreau is a Professor of Computer Science, Head of the Web and Internet Science group (WAIS), and Deputy Head (Research and Enterprise) of ECS-Electronics and Computer Science at the University of Southampton.

Luc was co-chair of the W3C Provenance Working Group, which resulted in four W3C Recommendations and nine W3C Notes, specifying PROV, a conceptual data model for provenance the Web, and its serializations in various Web languages.

Jun Pang

Research interests: Formal methods, security and privacy, big data analytics, computational systems biology

Gabriella Pasi

Gabriella Pasi is Full Professor at the University of Milano Bicocca, Italy, where she leads the Information Retrieval research Lab within the Department of Informatics, Systems and Communication. Her research activity mainly addresses the definition of models and techniques for a personalized access to information (in particular related to the tasks of information Retrieval and Filtering). She is also working on the analysis of user generated content in social media.

Tomas Perez-Acle

Biologist, PhD in Biotechnology. Director of the Centro BASAL Ciencia & Vida. Head Researcher of the Computational Biology Lab (dLab) at Fundacion Ciencia & Vida, Santiago, Chile. Research Professor at Facultad de Ingeniería y Tecnología, Universidad San Sebastián.

Patricio Ramirez-Correa

Patricio Ramirez-Correa is an accomplished Professor at the Catholic University of the North in Chile, with a Ph.D. in Business, an M.Sc. in Marketing, an M.A. in Management, and a B.Sc. in Computer Engineering. His expertise lies in information technology, specifically in understanding its impact on organizational and individual levels. He is also a Visiting Professor at the University of Seville and the University of the Bío Bío.

Dr. Ramirez-Correa's research focuses on technology acceptance models and data science, and he has collaborated with researchers worldwide throughout his career. His contributions to the field of information technology are significant, having authored over one hundred papers in international journals, including highly reputable publications such as Technological Forecasting and Social Change, Computers & Education, Telematics and Informatics, Journal of Research in Interactive Marketing, and Industrial Management & Data Systems.

Dr. Ramirez-Correa's experience as an academic editor, guest editor, and reviewer for various journals has further solidified his knowledge and expertise in the field. In 2022, he was recognized by Stanford University as one of the top 2% most-cited researchers, a testament to his commitment to advancing the field of information technology through rigorous research and collaboration with colleagues worldwide.

Dirk Riehle

Prof. Dr. Dirk Riehle, M.B.A., is the Professor of Open Source Software at the Friedrich-Alexander University of Erlangen-Nürnberg. Before joining academia, Riehle led the Open Source Research Group at SAP Labs, LLC, in Palo Alto, California (Silicon Valley). Riehle founded the OpenSym conference series. Prof. Riehle holds a Ph.D. in computer science from ETH Zürich and an M.B.A. from Stanford Graduate School of Business.

Rossano Schifanella

Rossano Schifanella is an associate professor of computer science at the University of Turin and a researcher at ISI Foundation, where he is a member of the Data Science for Social Impact and Sustainability group. His research embraces the creative energy of a range of disciplines across machine learning, urban science, computational social science, complex systems, and data visualization. He leverages data-driven approaches to model the behavior of (groups of) individuals and their interactions in space and time, aiming at understanding the interplay between online and offline social behavior. He is passionate about understanding the dynamics of complex phenomena in modern cities and building interactive web interfaces to explore urban spaces and access human knowledge through geography.