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DTSTART;TZID=Europe/London:20261029T130000
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UID:8899-1793278800-1793282400@abcp.org.uk
SUMMARY:Choosing the Right Research Methods
DESCRIPTION:Choosing the Right Research Methods: A Practical Guide to Research Design for PhD Students and Early-Career Researchers\nThis event is organised by the EDI Working Group of ABCP as part of its “每月一谈” (“EDI Monthly Talk”) series. \nSpeaker\n \nDr Peikai Li is a lecturer at the Leeds University Business School. He earned his PhD in Work and Organizational Psychology from Utrecht University and worked as a postdoc at Ghent University. His research primarily focuses on work stress\, leadership\, and meta-analysis. His work has been published in journals such as Leadership Quarterly\, Human Resource Management\, Human Relations\, Journal of Organizational Behavior\, Journal of Vocational Behavior\, Journal of Business Ethics\, Journal of Occupational and Organizational Psychology. \nChair\n\nProfessor Qihai Huang\, Strategic Lead for Research\, School of Business\, Education and Law\, University of Huddersfield\nDr Xunnan Li\, Senior Lecturer\, Deputy Director of Leeds Centre for New Chinese Writing\, University of Leeds\, Main Editor of Studies in Theatre and Performance\n\nAbstract\nChoosing an appropriate research method is one of the most important decisions in social science research. This talk offers a practical introduction to how PhD students and early-career researchers can move from a research question to a suitable research design. Rather than focusing on technical details\, the talk will discuss how different types of questions require different kinds of evidence\, data\, and analysis. Drawing on examples from organizational behavior\, management psychology\, and related fields\, it will briefly compare common approaches such as cross-sectional surveys\, longitudinal studies\, experience sampling methods\, experiments\, interviews\, systematic reviews\, and meta-analysis. The talk will also reflect on common challenges in methodological learning\, including how to avoid choosing methods simply because they appear advanced or fashionable. It will also consider how statistical software\, coding\, and AI tools can support research design and data analysis. The aim is to help doctoral students and early-career researchers think more clearly and strategically about matching research questions with appropriate methods. \nPhD students who are developing research topics and conducting research\, as well as early-career researchers and other social science researchers interested in strengthening the quality of their research designs\, are warmly invited to attend and engage in discussion and knowledge exchange. \nHow to participate?\nMicrosoft Teams \nMeeting ID: 318 599 406 076 256 \nPasscode: Mm9Tp3tE
URL:https://abcp.org.uk/event/20261029-choosing-the-right-research-methods/
LOCATION:virtual
CATEGORIES:EDI Working Group events
ORGANIZER;CN="ABCP (Association of British Chinese Professors%2C %E5%85%A8%E8%8B%B1%E5%8D%8E%E4%BA%BA%E6%95%99%E6%8E%88%E5%8D%8F%E4%BC%9A)":MAILTO:contact@abcp.org.uk
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DTSTART;TZID=Europe/London:20261126T170000
DTEND;TZID=Europe/London:20261126T190000
DTSTAMP:20261014T154325Z
CREATED:20261009T120048Z
LAST-MODIFIED:20261014T154325Z
UID:8918-1795712400-1795719600@abcp.org.uk
SUMMARY:Peer Review Practices of Top AI and Cyber Security Conferences
DESCRIPTION:How to participate?\nOnline on MS Teams: \nhttps://teams.microsoft.com/meet/372521797829137?p=1OtsoPAM2C7Gr9Klvj \nMeeting ID: 372 521 797 829 137 \nPasscode: Zh27DS98 \nIntroduction\nABCP’s Specialty Committee on AI and Cyber Security is organising an online panel discussion on the current peer review practices of top AI and cyber security conferences and how such practices will evolve in the future\, considering the exponentially increasing number of paper submissions (e.g.\, ICLR 2027 received over 60k submissions). \nThe following five AI and/cyber security researchers will join the panel discussion. They have served on the PCs (Program Committees) of many top AI and cyber security conferences\, and three of them also had experiences or will have experience on co-chairing PCs or a track of such conferences. \n\nProfessor Lorenzo Cavallaro\, Professor of Computer Science\, UCL (University College London)\, UK (ACM CCS 2027 and 2028 PC Co-Chair)\nDr Ruizhe Li\, Assistant Professor\, University of Birmingham\, UK (regular Area Chair of NeurIPS\, ICLR\, ACL\, EMNLP\, IJCAI\, NAACL and CIKM)\nDr Kaihua Qin\, Assistant Professor\, University of Warwick\, UK (regular PC member of all top four cyber security conferences – IEEE S&P\, ACM CCS\, USENIX Security\, and NDSS)\nDr Cheng Zhang\, Director of Research leading CoreML team\, Ellison Institute of Technology (EIT)\, UK (NeurIPS 2024 PC Co-Chair; NeurIPS 2025 General Chair; current member of NeurIPS Board)\nDr Yixin Zou\, Leader of Human-Centered Security and Privacy group\, Max Planck Institute for Security and Privacy (MPI-SP)\, Germany (PETS/PoPETs 2026 and 2027 Vice Program Chair/Associate Editors-in-Chief; ACM CCS 2025 Co-Chair of “Usability and Measurements” Track)\n\nThe panel discussion will be facilitated by Professor Shujun Li\, Professor of Cyber Security at the University of Kent (part of London and South East University Group). Professor Li is also a Co-Chair of ABCP’s Specialty Committee on AI and Cyber Security and ABCP’s VP for IT & Governance. \nThe event is open to all. The working language will be English. \nThe panel discussion is co-organised and technically sponsored by the Institute of Cyber Security for Society (iCSS) and the Artificial Intelligence and Data Analytics (AIDA) Research Group at the University of Kent (part of London and South East University Group)\, and by the AI-Cyber SIG of CRANE\, an EPSRC-funded NetworkPlus for strengthening the UK’s cyber security research ecosystem. \n\n\n\n\n\n\n\n\n\nBios of Panellists\nProfessor Lorenzo Cavallaro grew up on pizza\, spaghetti\, and Phrack\, and soon developed a passion for underground and academic research. He is a Full Professor of Computer Science at University College London (UCL)\, where he leads the Systems Security Research Lab (S2Lab). His work is driven by a simple question: how do we make AI reason in a way we can trust? His research explores the foundations of trustworthy AI for systems security\, focusing on semantics-grounded representations\, program analysis\, and uncertainty-aware reasoning in adversarial settings. The goal is not just to improve models\, but to build a principled science of (code) reasoning. He publishes regularly at leading venues in computer security and machine learning\, received a Distinguished Paper Award at USENIX Security 2022\, an ICML Spotlight 2024\, serves the community through program committees and editorial roles\, and is Program Co-Chair of ACM CCS 2027 and 2028. He is also co-founder and Chief Scientific Officer of BynarIO\, where these ideas are translated into practice to autonomously identify\, prioritize\, and repair vulnerabilities in real-world software\, restoring trust and control over what we run. In addition to his love for food\, he finds his Flow in science\, music\, and family. \n \nProfessor Lorenzo Cavallaro \n\nDr Ruizhe Li is an Assistant Professor at the School of Computer Science\, University of Birmingham. He was a postdoctoral research fellow in the Web Intelligence Group\, affiliated with the Centre for Artificial Intelligence at UCL. He received his PhD from the Sheffield NLP group\, the Department of Computer Science at University of Sheffield. Ruizhe’s research interests focus on AI safety\, interpretability of LLMs and Multimodality LLMs by understanding LLMs internal working mechanism\, improving LLMs safety internally across different domains\, and applying to multimodality LLMs downstream tasks as well. He has consistently published on different top-tier AI\, machine learning and NLP conferences\, such as ACL\, IJCAI\, ICML\, ICLR\, EMNLP\, AAAI. He serves as the Area Chair of NeurIPS\, ICLR\, ACL\, EMNLP\, IJCAI\, NAACL\, CIKM\, etc. He was awarded INLG 2019 Best paper runner-up\, Area Chair Award of ACL 2023\, Best Paper Award of COLM 2025 XLLM-Reason-Plan Workshop\, Best reviewers of EMNLP 2020 and 2024 and Gold Reviewer of ICML 2026. His research is supported by Google\, Cohere\, Thinking Machines Lab and The Royal Society. \n \nDr Ruizhe Li \n\nDr Kaihua Qin is an Assistant Professor of Computer Science at the University of Warwick. His research focuses on understanding and tackling security challenges in emerging computational systems\, particularly blockchain and DeFi systems\, as well as AI-driven and agentic systems. His work has appeared at leading venues including IEEE S&P\, USENIX Security\, ACM CCS\, and NeurIPS. He has extensive peer-review experience\, serving on the program committees of top security conferences including ACM CCS\, IEEE S&P\, USENIX Security\, and NDSS. \n \nDr Kaihua Qin \n\nDr Cheng Zhang is a Director of Research at the Ellison Institute of Technology (EIT)\, where she leads AI research to accelerate scientific workflows through autonomous laboratories (AutoLabs). She currently leads a team developing multimodal foundation models\, including vision-language-action (VLA) models and world models. She has over a decade of experience in generative AI and machine learning\, spanning cutting-edge research and the translation of research into real-world products through collaboration with cross-functional teams. Before joining EIT\, Dr Zhang served as a Research Manager in Meta’s Superintelligence Lab (formerly the GenAI/LLaMA team)\, leading the EMEA team on reasoning and agent research. Prior to that\, she held Technical Lead Research Manager role at Microsoft Research Cambridge for over 6.5 years and conducted research at Disney Research\, Carnegie Mellon University\, before that. Throughout her career\, Dr Zhang has driven high-impact projects that bring scientific research innovations to real-world applications. She and her teams have delivered cutting-edge work in reasoning and agentic systems with foundation models (contributing to Llama 3.3 and Llama 4) deep generative modeling\, causal machine learning\, and probabilistic modeling in prior work. Her research on causally aware deep learning led to a program allocation system at Microsoft that tripled marketing efficiency in scaled managed partners\, and she advanced AI-driven personalized education technologies reaching more than half of UK schools through third-party collaborations. Dr Zhang is also an active contributor in the global AI research community\, serving as Program Chair for NeurIPS 2024\, General Chair for NeurIPS 2025\, and a current member of the NeurIPS Board. \n \nDr Cheng Zhang \n\nDr Yixin Zou is a tenure-track faculty member at the Max Planck Institute for Security and Privacy in Bochum\, Germany\, where she leads the Human-Centered Security and Privacy group. Her research seeks to make security\, privacy\, and AI technologies safer and more equitable for everyone\, especially marginalized and underserved communities. She regularly publishes at leading venues in computer security and human-computer interaction. She is a vice program chair for PETS 2026 and 2027 and a regular program committee member for CHI and SOUPS\, and she previously served as a co-chair of the Usability and Measurements track at ACM CCS 2025. She earned a Ph.D. in Information from the University of Michigan in 2022. \n \nDr Yixin Zou
URL:https://abcp.org.uk/event/20261126-peer-review-practices-top-ai-cyber-security-conferences/
LOCATION:virtual
CATEGORIES:ABCP Virtual Seminar Series,SC on AI and Cyber Security
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