Signatories
The primary signatory list now lives on the homepage below the declaration text.
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Gentian Zavalani ORCID PhD students, Scientists, CASUS Center for Advanced System Understanding
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Fabio Mogavero ORCID Associate Professor of Computer Science, Università degli Studi di Napoli Federico II
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Leo van Iersel ORCID TU Delft
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Maurizio Grasselli ORCID Politecnico di Milano
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Felix Lotter ORCID PhD Student, Max Planck Institute for Mathematics in the Sciences
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Jordi-Lluís Figueras Romero ORCID Uppsala University
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Jaclyn Lang ORCID Assistant Professor, Temple University
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Jörn Hatzky ORCID Researcher, QPS (Netherlands)
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Anh-Chi Tuan ORCID MSc student - Politecnico di Milano
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Gianluca Garello ORCID Associate professor, Università di Torino
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Stephen Preston ORCID Professor, CUNY Brooklyn College and Graduate Center
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Gian Maria Dall'Ara ORCID Scuola Normale Superiore di Pisa, Istituto Nazionale di Alta Matematica "Francesco Severi"
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Natalie Packham ORCID Professor of Mathematics and Statistics, Berlin School of Economics and Law
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Moses Boudourides ORCID Northwestern University
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Tom de Jong ORCID University of Nottingham
Comment
While the recommendations may be underwhelming and prove insufficient, I consider the declaration's identification and description of values and threats to be urgent and valuable.
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Michel Verhaegen ORCID Emeritus Professor TU Delft
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Enrique Pardo ORCID Full Professor, Universidad de Cádiz
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William Waites ORCID Senior Research Fellow, University of Edinburgh
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Henrik Kreidler ORCID PostDoc, Leipzig University
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Bart Smets ORCID Eindhoven University of Technology
Comment
A reasonable and balanced approach to adapting ourselves to what is, in the end, just another new tool.
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Kaiyi Zhang ORCID Tsinghua University
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Wenyong Zhou verified email Fudan University
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Betul Tanbay Bogazici University, Professor - Chair of the International Day of Mathematics (IDM)
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Jinxi Zhang verified email King's College London, University of London
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Aalok Thakkar verified email Ashoka University
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José A. Alonso verified email Universidad de Sevilla
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Ronny Bergmann ORCID Associate Professor, Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
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Xiangfei Li ORCID Suzhou High School of Jiangsu Province
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Niels Lindner ORCID Freie Universität Berlin
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Isaac Meilijson ORCID Faculty Of Exact Sciences, Tel Aviv University
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Manuel Blickle ORCID Johannes Gutenberg University Mainz
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Floris Vermeulen ORCID University of Münster
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Rahul Vishwakarma ORCID WorkOnward
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Yulin Chen verified email University of Science and Technology Beijing
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Henk Mulder ORCID Researcher, Independent
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Ankita Sharma verified email Imperial College London
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Kapil Paranjape ORCID Indian Institute of Science Education and Research Mohali
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Sheung-Yu Pau
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Ulrike Grömping ORCID FB II, Berliner Hochschule für Technik
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Madhukar Anand PhD Computer and Information Sciences, Mathematics Major.
Comment
The declaration brings much needed clarity on guidelines and recommendations to address the challenges posed by the use of AI. We need a similar one for Computer Science and Software Development
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Chongchuo Li ORCID
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Roland Cristopher Caballar ORCID Assistant Professor, University of Santo Tomas
Comment
May AI be a tool to advance understanding of mathematics and push the frontiers of knowledge ever onward, not a machine that constrains our mathematical understanding and puts limits on what we can know.
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Luna Xin ORCID Bachelor, University of Waterloo
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浩宇 陈 ORCID Nanjing University
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Ambros Gleixner verified email Hochschule für Technik und Wirtschaft Berlin
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Manjunath Krishnapur verified email Indian Institute of Science
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Wojciech Gajda ORCID Professor, Adam Mickiewicz University in Poznań
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Yiming Wu Undergraduate student in Engineering
Comment
As a student,I wholeheartedly endorse this declaration and hope that AI will make even greater contributions to mathematics and the advancement of humanity.
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Kenny De Commer ORCID Hoogleraar (professor), Vrije Universiteit Brussel
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Peihan Wu ORCID Sichuan University
Comment
The majority of the essence of this declaration is of utmost importance.
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Andrzej Blikle ORCID Professor, Institute of Computer Science Polish Academy of Sciences
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Rowyn Boyd
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Zhenyu Cao ORCID Student, Hunan University of Humanities, Science and Technology
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Zhuo Chen ORCID School of Mathematical Sciences, East China Normal University
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Yang Qiu ORCID Cornell University
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Hongjian Yang ORCID Ph.D., Stanford University
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Andrej Srakar ORCID Artificial Intelligence, Jožef Stefan Institute
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Paolo Stefano Giudici ORCID Professor of Statistics, University of Pavia
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Danilo Gligoroski ORCID Norwegian University of Science and Technology (NTNU)
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Chandan Singh Dalawat ORCID Visiting Professor, Ashoka University
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Ang Li verified email Guangdong University of Technology
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shangjun shi ORCID East China Normal University
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Martin Ruskov ORCID Ricercatori, Universita' degli Studi di MILANO
Comment
Research in AI could only be sustainable if models are open, not only weights, bit also data and tools, as in the Model Openness Framework.
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f alberto grunbaum ORCID UC Berkeley
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Kyle Ormsby ORCID Reed College Department of Mathematics & Statistics
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Max Petschack verified email University of Melbourne
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A Sankaranarayanan ORCID Vivo Bio Tech Ltd
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Prof. Dan Wu ORCID School of Electrical and Electronic Engineering, Huazhong University of Science and Technology
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Chenxing Qian ORCID PhD, University of Pittsburgh
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George Turcas ORCID Lecturer, Babes-Bolyai University
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Gabor Szekelyhidi ORCID Professor, Northwestern University
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Jordan Martino verified email Northeastern University
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Sam Wang verified email New York University
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Jinyang Zhang verified email University of California, Berkeley
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Mirza Mehmedagic verified email University of Chicago
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Arman Valaquenta ORCID Founder and CEO, Dauðalogn Holdings Limited
Comment
We used to take square roots by hand. Then we used calculators. We must remain in charge what to take square roots of now, with AI. Insight is ours.
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Benjamin Galluzzo ORCID Executive Director, Consortium for Mathematics and its Applications (COMAP)
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Yunchu Dai ORCID Mathematics, Massachusetts Institute of Technology
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Brian Chao ORCID Graduate student, Cornell University
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Michael A. Boss ORCID PhD, Physics
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Lejian Wang verified email Jilin University
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Ian Zemke ORCID University of Oregon
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Patrick Shafto verified email Rutgers University
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Allen Nikora verified email Jet Propulsion Laboratory (retired)
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Florian Richoux ORCID Senior researcher, National Institute of Advanced Industrial Science and Technology (AIST)
Comment
The Leiden Declaration is a necessary statement regarding the rise of generative AI in scientific research. In fact, most of its recommendations extend beyond mathematics and remain relevant to most of scientific fields.
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Peijie Li ORCID The University of Hong Kong
Comment
AI brings great productivity to mathematical research, allowing people to focus more on innovative ideas than technical details. It shall be seen as the crystallization of the wisdom of all humanity and shall belong to all the people, be used for the people and by the people.
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Rohitesh Pradhan ORCID Ewing Christian College, Prayagraj
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He Xin ORCID
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Dmitrii Pasechnik ORCID Research Professor, Northwestern University
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Alexander Mundey ORCID Research Fellow, Adelaide University
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Sang-hyun Kim ORCID Professor, Korea Institute for Advanced Study
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Xingkai Wang verified email Pennsylvania State University
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Songhua He ORCID Research Assistant, Rutgers, The State University of New Jersey
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富可 王 ORCID National University of Defense Technology
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Daxin Xu ORCID Academy of Mathematics and Systems Science
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James Propp ORCID UMass Lowell
Comment
If you are an individual mathematician, be aware that use of these new tools carries along with it the risk of atrophy of old skills and habits. As you use AI, pay attention to its effect on you.
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Zhe Xu ORCID University of Oregon
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Shaoyun Bai ORCID Assistant Professor, Massachusetts Institute of Technology
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Ada Chan ORCID York University
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Rommel Real ORCID Assistant Professor, University of the Philippines Mindanao
Comment
I have signed the Leiden Declaration on AI in Research because I believe that artificial intelligence should strengthen, rather than replace, the fundamental principles of scholarship. As a researcher working at the intersection of network science, computational social science, and AI-assisted methodologies, I view AI as a powerful tool for discovery, synthesis, and scientific productivity. At the same time, scientific responsibility, intellectual accountability, transparency, reproducibility, and critical judgment remain irreducibly human responsibilities. The challenge before us is not whether AI should be used in research, but how it should be used. The future of science will be shaped not by a choice between humans and AI, but by thoughtful collaborations that combine computational capabilities with human understanding, creativity, and ethical responsibility. I therefore support the Leiden Declaration's call for preserving the values of scholarly inquiry while embracing the opportunities created by rapidly advancing AI technologies.