Everybody wants to analyse their data, but only few posses the data science expertise to to this. Motivated by this observation we introduce a novel framework and system \textsc{VisualSynth} for human-machine collaboration in data science.
It wants to democratize data science by allowing users to interact with standard spreadsheet software in order to perform and automate various data analysis tasks ranging from data wrangling, data selection, clustering, constraint learning, predictive modeling and auto-completion. \textsc{VisualSynth} relies on the user providing colored sketches, i.e., coloring parts of the spreadsheet, to partially specify data science tasks, which are then determined and executed using artificial intelligence techniques.
Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences
Department of Psychology, Princeton University（普林斯顿大学心理学系）；Department of Psychology, Stanford University（斯坦福大学心理学系）；Princeton AI Lab, Princeton University（普林斯顿大学人工智能实验室）
SciSciGPT: Advancing Human-AI Collaboration in the Science of Science
Center for Science of Science and Innovation, Northwestern University（西北大学科学与创新科学中心）；Ryan Institute on Complexity, Northwestern University（西北大学瑞安复杂性研究所）；Northwestern Innovation Institute, Northwestern University（西北大学创新研究院）；McCormick School of Engineering, Northwestern University（西北大学麦考密克工程学院）；Kellogg School of Management, Northwestern University（西北大学凯洛格管理学院）
Advancing Quantum Information Science Pre-College Education: The Case for Learning Sciences Collaboration
School of Computing（计算学院）；University of Pittsburgh（匹兹堡大学）；Graduate School of Education（教育研究生院）；Stanford University（斯坦福大学）；Department of Psychology（心理学系）
Team Power Dynamics and Team Impact: New Perspectives on Scientific Collaboration using Career Age as a Proxy for Team Power
University of Texas at Austin（得克萨斯大学奥斯汀分校）；Peking University（北京大学）；Fudan University（复旦大学）；The University of Hong Kong（香港大学）；University of Michigan（密歇根大学）；University of Technology Sydney（悉尼科技大学）；Rice University（莱斯大学）
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
School of Statistics, University of Minnesota（明尼苏达大学统计学系）；AIScientists, Inc.（AIScientists公司）；Data Science Institute, University of Chicago（芝加哥大学数据科学研究所）；Carlson School of Management, University of Minnesota（明尼苏达大学卡尔森管理学院）；Cisco Research（思科研究）；Department of Electrical and Computer Engineering, University of Minnesota（明尼苏达大学电气与计算机工程系）；Division of Computational Health Sciences, University of Minnesota（明尼苏达大学计算健康科学 division）
CoWeaver: A Bi-directional, Learnable and Explainable Matching Engine for Mixed Human-Agent Science Collaboration
McGill University（麦吉尔大学）；Mila – Québec AI Institute（Mila——魁北克人工智能研究所）；University of Connecticut（康涅狄格大学）；Sichuan University（四川大学）；Gradient；Princeton University（普林斯顿大学）
Human-AI Collaboration in Science at Scale: A Global Large-scale Randomized Field Experiment
Kellogg School of Management, Northwestern University（西北大学凯洛格管理学院）；Center for Science of Science and Innovation, Northwestern University（西北大学科学与创新中心）；Northwestern Institute on Complex Systems, Northwestern University（西北大学复杂系统研究所）；Department of Computer Science, Stanford University（斯坦福大学计算机科学系）；Goizueta Business School, Emory University（埃默里大学戈伊兹特亚商学院）；Department of Information Science, Cornell University（康奈尔大学信息科学系）
Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration
University of Essex（埃塞克斯大学）；University College London（伦敦大学学院）；ESADE, Ramon Llull University（拉蒙·略乌尔大学ESADE商学院）；Institute for Analytics and Data Science, University of Essex（埃塞克斯大学分析与数据科学学院）
The Role of AI in Facilitating Interdisciplinary Collaboration: Evidence from AlphaFold
School of Information Management, Nanjing University（南京大学信息管理学院）；Department of Information Systems, City University of Hong Kong（香港城市大学信息系统系）；Faculty of Business - Marketing, Hong Kong Polytechnic University（香港理工大学商学院市场学系）
AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need
NSF STC Learning the Earth with AI and Physics (LEAP), Columbia University（NSF STC 学习地球与人工智能和物理（LEAP），哥伦比亚大学）；AWS Generative AI Innovation Center（AWS 生成式人工智能创新中心）；Department of Statistics, Columbia University（哥伦比亚大学统计系）
Rise of Generative Artificial Intelligence in Science
Manchester Institute of Innovation Research（曼彻斯特创新研究所）；Alliance Manchester Business School（Alliance 曼彻斯特商学院）；The University of Manchester（曼彻斯特大学）；School of Public Policy（公共政策学院）；Georgia Institute of Technology（佐治亚理工学院）
