News & events

Daniel serves as an Area Chair for the AI for Science workshop at NeurIPS 2026

Daniel serves as a reviewer for the 4th Workshop on Artificial Intelligence for Scientific Publications (WASP 2026) at AACL-IJCNLP 2026

Daniel will deliver a keynote, AI vs. AI: Guarding the Scientific Record Against Fabrication, Manipulation, and Machine-Authored Content, in the Ethics & Governance in AI for Science track of AI4Sci Korea 2026, Seoul, South Korea (September 28 – October 1, 2026)

Dissecting the gender divide: authorship and acknowledgment in scientific publications (Keigo Kusumegi, Daniel, and Yukie Sano) is published in Scientometrics

Daniel joined the Program Committee of AAAI 2027

Daniel served as an Area Chair for the AI for Science workshop at ICML 2026

Daniel joined the Program Committee of the 3rd International Workshop on AI for the Science of Science (AI4SciSci 2026) at JCDL 2026

Daniel joined the panel The Future Infrastructure of the Scientific Ecosystem (with Jessica Hullman and Aaron Clauset, moderated by Misha Teplitskiy) at the International Conference on the Science of Science and Innovation (ICSSI 2026), held in Boulder, Colorado, June 29 – July 1

Strong lab presence at ICSSI 2026 in Boulder: Almene gave the lightning talk How Willing Are LLMs to Commit Scientific Fraud? A Study of 17 Commercial and Open Models; Christopher presented Quantifying and Understanding Global Disparities in Biomedical Research; Carolina presented Parental Occupation and Socioeconomic Origins in Academic Faculty (with Katie Spoon, Dan Larremore, Daniel, and Aaron Clauset) and a poster on LLM-based gender classification; and Pawin presented the poster Driving Science with Multi-Agents and Reinforcement Learning: Are LLMs Effective for Automated Peer Review?

Beyond a number game: Flat team structures improve inclusion and performance in diverse scientific teams (Huimin Xu et al., with Daniel) is published in JASIST

Almene and Pawin were selected to attend the Machine Learning Summer School (MLSS) 2026 at Columbia University in New York City

New preprint by Almene, with Maria Pacheco and Daniel: SciIntBench: Measuring LLM Compliance with Research Integrity Norms Under Adversarial Framing

At the 9th World Conference on Research Integrity (WCRI 2026) in Vancouver, Canada, Daniel gave the talk Estimating the predictability of questionable journals: signals and interpretation and Pawin presented the poster Identifying Potential Falsified Research Outcomes from Partial Table Duplications

New preprint by Pawin and Daniel: REM-CTX: Automated Peer Review via Reinforcement Learning with Auxiliary Context

NBER working paper Government Funding and the Direction of Academic Energy Research (David Popp, Myriam Gregoire-Zawilski, Lizhen Liang, and Daniel), from our Sloan Foundation project, is out

Widespread reference missingness disparities in open scholarly metadata (Huaxia Zhou, Lizhen Liang, and Daniel) is published in Quantitative Science Studies

Daniel serves on the editorial boards of Humanities and Social Sciences Communications and the Journal of Social Computing

Daniel delivered the keynote at the 2nd International Workshop on Artificial Intelligence and the Science of Science (AI4SciSci 2025) at JCDL 2025, presenting our work on estimating the predictability of questionable open-access journals

Carolina passed her preliminary exam. Congrats Carolina!

Estimating the predictability of questionable open-access journals (Han Zhuang, Lizhen Liang, and Daniel) is published in Science Advances

Daniel participated in the inaugural National Conference on Research Integrity (NCRI 2025) in Chicago, IL

Carolina presented her work at the 10th Atlanta Conference on Science and Innovation Policy (ATLC 2025) at Georgia Tech

New preprint by Pawin and Daniel: REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning

Predicting the longevity of resources shared in scientific publications is published in Humanities and Social Sciences Communications, and Paraphrase Identification with Deep Learning: A Review of Datasets and Methods (Chao Zhou, Cheng Qiu, Lizhen Liang, and Daniel) in IEEE Access

MAMORX: Multi-agent Multi-modal Scientific Review Generation with External Knowledge (Pawin Taechoyotin, Guanchao Wang, Tong Zeng, Bradley Sides, and Daniel) was accepted at the NeurIPS 2024 Workshop on Foundation Models for Science

Comparative Explanations for Recommendation: Research Directions (Meysam Varasteh, Elizabeth McKinnie, Amanda Aird, Daniel, and Robin Burke) appeared at the IntRS workshop at RecSys 2024

Incorporating costs and benefits to the evaluation of uncertain research results: applications to cancer research funding (Han Zhuang and Daniel) is published in Quantitative Science Studies

Welcome to our new Ph.D. students Pawin Taechoyotin, Almene De Meran Meguimtsop, and Christopher Ebuka Ojukwu!

MISTI: Metadata-Informed Scientific Text and Image Representation through Contrastive Learning (Pawin and Daniel) appeared at the 4th Workshop on Scholarly Document Processing (SDP 2024) at ACL 2024

Science Needs You: Mobilizing for Diversity in Award Recognition (Elizabeth Novoa-Monsalve, David Patterson, Stephanie Ludi, and Daniel) is published in Communications of the ACM

New NSF grant (co-PI) 'The impact of socioeconomic diversity on science and innovation' with Aaron Clauset and Dan Larremore.

Moderator for the panel 'The Other Side: Junk, Fraud, Retractions, and Paper Mills' at the International Conference on Science of Science and Innovation 2024 (Washington, DC)

Invited Speaker - Colorado Clinical and Translational Sciences Institute - What research can teach us about research integrity and culture? University of Colorado Anschutz Medical Campus

CU Lab Venture Challenge Winner ($125,000)

Daniel will be program committee co-chair for the International Conference on Science of Science and Innovation

Daniel participated on a panel on Law and Generative AI

Dr. Han Zhuang successfully defends his thesis and is headed to Barabasi Lab at Northeastern University! Congrats Han!

Daniel was interviewed by The Conversation on our ChatGPT

Daniel will present his work on large scale nearest neighbor search during the Ray Summit Meetup, part of Ray Summit 2022

Workshop on Data-Driven Science of Science at KDD 2022

Science of Science Summer School (S4) 2022! Virtual. Apply now!

Invited talk at International Conference on Data Intelligence & Information Service Development, organized by Tianjin Normal University China (virtual)

Daniel Acuna will be a member of the ACM DEI Council, leading the focus on improving data-driven bias detection and awareness in peer review.

Daniel Acuna has been promoted to Associate Professor with Tenure!

Daniel Acuna is presenting at the Future Privacy Forum on "Promoting Responsible Research Data Access" (Virtual, by invitation only)

Nanjing University awarded visiting scholar alumni Tong Zeng a research excellence award for high productivity for his work during his visit to SOS+CD!

Postdoctoral alumni Qing Ke joins the Department of Data Science at the City University of Hong Kong!

Postdoctoral alumni Science of Science Summer School (S4) 2021 with 50+ mentees and 12+ mentors finished successfully!; six micro-grants announced

Daniel Acuna appeared in a The New Yorker article

Massive dataset on mentorship released by SOS+CD in collaboration with Stephen David: MENTORSHIP

Successfully ran the iConference workshop on AI and Science of Science

Daniel Acuna presented at International Conference of Social Computing (virtual)

Daniel Acuna interviewed for Nature News (2020) Pioneering duplication detector trawls thousands of coronavirus preprints

Our work mentioned in Nature Machine Learning Editorial (2020) A match for virtual conferences

Our work mentioned in Nature News (2020) Publishers launch joint effort to tackle altered images in research papers

Our work mentioned in a Nature Feature interview about Elisabeth Bik (2020)

Presented our work at the ACM FAT Conference Barcelona, Spain

Daniel Acuna participated in the Data Science Leadership Summit, Santa Fe, New Mexico

Daniel Acuna and Han Zhuang participated in the Atlanta Conference on Science and Innovation Policy, Atlanta, Georgia

Daniel Acuna and Han Zhuang participated in the Metascience 2019 Symposium, Stanford University, Stanford, CA. Han Zhuan was awarded the best poster award!

Daniel Acuna was an invited speaker at the International Conference on Science of Science, Tsinghua University and the University of Chicago Center in Beijing, China

Presented our work in the 6th World Conference on Research Integrity, Hong Kong

2019 Research Integrity Conference, Chicago, IL

Invited speaker to the 8th Annual Ethics in Biomedical Research Lecture, University of Rochester School of Medicine and Dentistry

Short paper presentation at iConference 2019, University of Maryland

Daniel Acuna was invited to present at the Symposium of Yotta Informatics, Tohoku University, Sendai, Japan

Interview for Nature News (2018) Researchers have finally created a tool to spot duplicated images across thousands of papers