Phone: | +49 261 287 - 2715 |
E-Mail: | hopfgartner(at)uni-koblenz.de |
Web: | hopfgartner.de/ |

Prof. Dr. Frank Hopfgartner
Head of Institute
Profile
I am a Professor for Data Science at Universität Koblenz and Visiting Professor at the University of Sheffield. In Koblenz, I lead the Institute for Web Science & Technologies and coordinate the MSc in Web and Data Science and BSc in Computational Social Science programmes.
My main research interest is in the intersection of human-centred and responsible artificial intelligence and data science. In particular, I am interested in understanding and modelling how data-driven systems (e.g., information retrieval and recommender systems) shape and influence people and society. Often, I collaborate with partners from industry or other disciplines interested in developing personalisation services or in gaining new insights into their data or society.
My work is underpinned by data mining, natural language processing, machine learning, and human-computer interaction techniques.
I am an active member of the research community. I have hold roles such as steering committee member of the ECIR and ACM SIGIR ICTIR conferences, general chair of ACM CIKM'23 and ACM CHIIR'24, or was co-organiser of evaluation campaigns at CLEF, NTCIR, and MediaEval. I am on the editorial board of the IP&M journal and was guest editor for various special issues of other journals.
I have completed my PhD in Computing Science at University of Glasgow under the supervision of Prof. Joemon M. Jose and Prof. Keith van Rijsbergen. After this, I have worked at research-led science & engineering centres in the US and Ireland, as well as at universities in Germany, China, and the UK. Since 2022, I am a Senior Fellow of the (UK) Higher Education Academy.
Research
My research group is interested in turning data into insight and advancing AI into socially responsible, human-centred solutions. To pursue our vision, our research focuses on two main areas: Data Science and Human-Centred and Responsible AI. Our research projects are often interdisciplinary in nature to address research questions from different angles.
Data Science
We investigate how personal data can be collected, structured, and analysed to generate new knowledge and actionable insights. This work spans several key areas:
Personal Data: Healthcare records, lifelogs, and cultural heritage collections.
User-Generated Content: Social media posts, emails, and digital archives.
Privacy-Aware Data Processing: Methods that ensure sensitive information is handled responsibly.
Insight Extraction: Analysing data to understand user behaviour, societal trends, and emerging patterns.
To study the impact of our research, we have collaborated with project partners from various sectors. Examples include working with healthcare providers to predict adverse outcomes of COVID-19 cases, with the GLAM sector (Galleries, Libraries, Archives, Museums) to process and analyse personal digital archives, with arts and humanities institutions to enable access to historical documents, with telecommunications companies to predict customer churn, and with the police to improve data forensics techniques.
Human-centred and Responsible AI
We investigate how AI can empower people while promoting fairness, transparency, and social responsibility. Our research covers:
Information Retrieval & Recommender Systems: Creating interactive systems that help users find relevant content, from web search to personalised recommendations.
Fairness, Accountability, Transparency, and Ethics (FATE): Studying algorithmic bias and promoting transparent, trustworthy AI.
Responsible Data Science Education: Collaborating with higher education institutions to develop learning materials and outline curricula for human-centred data science, raising awareness of the social consequences of AI and promoting ethical, informed use of data.
Our work enhances systems that help users find relevant information. We contribute to user modelling, interactive information retrieval, and search experience, including gamification. Collaborations with information service providers and arts and humanities institutions have supported the development of personalised recommendation techniques, improved access to historical documents, and established the first living lab for large-scale benchmarking. We also study ways to reduce algorithmic bias, increase accountability, and make AI systems more transparent and trustworthy.
Supervision
Research Supervision
At Institute WeST, I coordinate and oversee the broader direction of our research agenda. Over the years, I have had the privilege of supervising several doctoral students to the successful completion of their PhDs. These researchers have pursued a diverse range of topics within the domains of natural language processing, Web Science, social media analysis, human-computer interaction, and related interdisciplinary fields. Many of my former PhD students have gone on to pursue successful academic or industry careers. According to the Math Geneology Project, they now count among the extended academic lineage that traces back to figures such as Sir Isaac Newton and Galileo Galilei.
Supervision of BSc and MSc theses
To date, I have supervised 100+ Bachelor and Master theses. My supervision approach is student-centered, with an emphasis on selecting research topics with practical relevance. Students interested in writing their thesis with me are advised to check the student handbook of Institute WeST, which provides guidance on how to identify a suitable topic and initiate the supervision process.
Publications
Most of my publications can be downloaded from open access repositories. Older publications are archived in repositories of The University of Sheffield, The University of Glasgow, TU Berlin, Dublin City University, and of UC Berkeley.
Other publication lists can also be found on ORCID and on Google Scholar.
Service
I actively contribute to the research and academic community in information retrieval and data science. I have acted as General Chair for conferences including ACM CHIIR 2024, ACM CIKM 2023, and HealthWear 2016, and as a Steering Committee Member for prestigious conferences such as ACM SIGIR ICTIR and ECIR. I have also served as Program Chair for SocInfo 2022, and in various other roles (Workshop chair, Tutorial chair, Demo chair, etc.) at ACM CHIIR'27, ACM MM'25, ECIR'23, ACM ICMR'20, ACM CHIIR'19, iConference'18, MMM'17, ACM ICMR'17, MMM'14, and MMM'12. I have organized numerous workshops, tutorials, and evaluation campaigns on topics like gamification, lifelogging, news recommendation, and quantification.
I have been a member of technical (senior) program committees for over 150 conferences and workshops, including SIGIR, RecSys, WWW, Multimedia, CIKM, and ECIR, and have reviewed for leading journals such as UMUAI, TOIS, WEB, and Multimedia Systems. I have also served as an external examiner for PhD theses at universities in the UK, Germany, Ireland, Italy, France, and Finland, and evaluate research proposals for national and international funding agencies like COST, EPSRC, DAAD, NSERC, and FWF.
Additionally, I have contributed as a member of the editorial board of the Information Processing and Management journal and as a guest editor for special issues in scientific journals. Through these activities, I aim to support the development, dissemination, and application of knowledge in information retrieval, recommendation systems, and related fields, while fostering collaboration between academia and industry.
Conference-related activities
ACM SIGIR International Conference on the Theory of Information Retrieval (2019-2023)
European Conference on Information Retrieval (2017-2023)
9th ACM SIGIR Conference on Human Information Interaction and Retrieval, Sheffield, UK (CHIIR'24)
32nd ACM International Conference on Information and Knowledge Management, Birmingham, UK (CIKM'23)
First International Conference on Wearables in Healthcare, Budapest, Hungary (HealthWear’16)
13th International Conference on Social Informatics (SocInfo'22)
ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'27): Workshops and Tutorials Co-Chair
ACM Multimedia Conference (MM'25): Tutorial Co-Chair
European Conference on Information Retrieval (ECIR'23): Demo Co-Chair
ACM Conference on Multimedia Retrieval (ICMR’20): Brave New Ideas Co-Chair
ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR’19): Demos and Resources Co-Chair
Annual Conference of the iSchool Organization (iConference’18): Poster Co-Chair
23rd International Conference on Multimedia Modeling (MMM’17): Demo Co-Chair
ACM Conference on Multimedia Retrieval 2014 (ICMR’14): Proceedings Co-Chair
20th International Conference on Multimedia Modeling (MMM’14): Special Session Co-Chair
18th International Conference on Multimedia Modeling (MMM’12): Demo Co-Chair
Member of technical program committees of 150+ conferences and workshops, including many editions of top-tier conferences such as ACM SIGIR, ACM RecSys, WWW, ACM Multimedia, CIKM, ECIR.
Workshops, tutorials, and evaluation campaigns
Co-organiser of 30+ workshops and tutorials at major conferences, e.g., on gamification (ACM SIGIR, ECIR, ACM CHI PLAY), quantified self (ACM UbiComp, ACM UMAP, ACM Hypertext, IEEE BIBM), lifelogging (ACM CHIIR, ACM Multimedia, IEEE ICME), news recommendation and retrieval (ACM RecSys, ECIR), real-time data processing and living lab evaluation (ACM RecSys, ECIR, IEEE ICME), and personalization and user modelling (ACM SIGIR, IIiX, UMAP).
Co-ordinator of evaluation campaigns to promote reproducible research, namely NTCIR MART (2020), NTCIR Lifelog (2015-2022), MediaEval NewsREEL Multimedia (2018), and CLEF NewsREEL (2014-2017)
Outreach and public engagement
Co-organiser of outreach events such as Search Solutions in London (funded by BCS), Ethics, Privacy, Transparency and Bias in Information Retrieval in Sheffield (funded by BCS), Digital Humanities meets Computer Science workshop in Glasgow (funded by Scottish Informatics and Computer Science Alliance), Science Meeting on Lifelogging in Glasgow (funded by European Science Foundation).
Head of Academic Relations of the German-Chinese Association for Artificial Intelligence (2019-2022)
Editorials and reviewing
Information Management & Processing Journal (Editorial Board, 2016-2025)
User Modeling and User-Adapted Interaction Journal (Guest Editor, 2020)
Personal and Ubiquitous Computing Journal (Guest Editor, 2019)
Online Information Review Journal (Guest Editor, 2019)
International Journal of Human-Computer Studies (Guest Editor, 2018)
UMUAI
ACM TOIS
ACM WEB
ACM MMSys
ACM Inf Sys
MTAP
Human-Computer Studies
Assessment and Examination
TU Berlin
University College London (UCL)
University of Glasgow
University of Strathclyde
Queen’s University Belfast
Politecnico di Milano
Université Paris 1 Panthéon-Sorbonne
University of Luxembourg
COST Action
EPSRC (Engineering and Physical Sciences Research Council)
DAAD (German Academic Exchange Service)
NSERC (Natural Sciences and Engineering Research Council of Canada)
FWF (Austrian Science Fund)
NRC (Norwegian Research Council).
University of Surrey
Aston University
University of Glasgow
Talks
I am frequently invited to present my research to different audiences. This includes talks to experts from various subject areas but also to the general public. I adapt the focus and language of my presentations based on the interests and prior knowledge of the audience.
To date, a majority of my presentations has been targeting technical audiences. For instance, I have given guest lectures or seminar talks at computer science departments or companies, as well as keynote presentations and invited talks at technical conferences and workshops, most of which were co-located with conferences sponsored by special interest groups of the ACM.
I have also presented to the general public and to academics and practitioners of other subject areas, e.g., at public lectures or at seminar talks organised by departments of digital humanities, philosophy, business, health science, or library, archives and information science.
Experiencing the COVID-19 Pandemic through the Lens of Google (at ACM IUI'22 workshop)
An Introduction to Retrieval and Reminiscence from Lifelog Archives at NTCIR (at ACM ICMR'22 workshop)
Promoting Algorithmic Transparency in Information Access (at Fairness and Ethics in IR Workshop, Glasgow, 2021)
Do you see what I see? Search Engines as a Lens of Life during the COVID-19 Pandemic (at ACM RecSys'21 workshop)
Recommender Systems and Brexit: Illustrating the Need for Transparent and Unbiased Information Access (at German-Chinese Association of Artificial Intelligence, 2019)
The Impact of Personalisation Services on Society (at ACM CIKM'19 workshop)
Stream-Based Recommendation: Observations and Solutions (at Intelligent Systems Lab, University of Bristol, 2018)
The Quantified Self as Testbed for Multimodal Information Retrieval (at IR Seminar, School of Computing, University of Glasgow, 2018)
News Retrieval and Recommendation Initiatives (at ACM CIKM'18 workshop)
Catching up with Industry - Online Evaluation of Information Access Systems (at FIRE'16 conference)
Capturing User Interests for Content-Based Recommendations (at ACM RecSys'15 workshop)
Setting up a Living Lab for Information Access Research (at Living Labs for IR Challenge Workshop, Amsterdam, 2014)
Benchmarking Recommender Systems in a Living Lab (at MediaEval'13 conference)
Bringing Information to Life: Multimodal Sensor Analysis (at Institute of Automation of Chinese Academy of Sciences, Shenyang, China, 2012)
The Legacies of Stephen Dwoskin’s Personal Cinema Project as Testbed for Digital Humanities Research (at Digital Humanities Hub, University of Reading, 2022)
Information Bias and Algorithmic Transparency (at Alumni event of German Academic Exchange Service (DAAD), 2021)
Creating Digital Memories from Lifelogging and Quantified Self Data (at The British Museum, 2018)
Self-Tracking and Archiving (at The National Archives of the Netherlands, 2017)
Becoming a Quantified Self (at Department of Library Information and Archive Sciences, University of Malta, 2016)
The Role of Data in Information Science Research (at The ESRC Scottish Graduate School for Social Science, 2016)
Self-Tracking and the Future of Health Apps (at Digital Festival Brussels, 2016)
Lifelogging and the Ethics of Personal Computing (at School of Philosophy, Nankai University, 2015)
Facilitating Long-Term User Engagement (at Business School, Nankai University, 2015)
Technical Foundations of Multimedia Recommendation (at Filmstudios Babelsberg, 2014)
Profile
I am a Professor for Data Science at Universität Koblenz and Visiting Professor at the University of Sheffield. In Koblenz, I lead the Institute for Web Science & Technologies and coordinate the MSc in Web and Data Science and BSc in Computational Social Science programmes.
My main research interest is in the intersection of human-centred and responsible artificial intelligence and data science. In particular, I am interested in understanding and modelling how data-driven systems (e.g., information retrieval and recommender systems) shape and influence people and society. Often, I collaborate with partners from industry or other disciplines interested in developing personalisation services or in gaining new insights into their data or society.
My work is underpinned by data mining, natural language processing, machine learning, and human-computer interaction techniques.
I am an active member of the research community. I have hold roles such as steering committee member of the ECIR and ACM SIGIR ICTIR conferences, general chair of ACM CIKM'23 and ACM CHIIR'24, or was co-organiser of evaluation campaigns at CLEF, NTCIR, and MediaEval. I am on the editorial board of the IP&M journal and was guest editor for various special issues of other journals.
I have completed my PhD in Computing Science at University of Glasgow under the supervision of Prof. Joemon M. Jose and Prof. Keith van Rijsbergen. After this, I have worked at research-led science & engineering centres in the US and Ireland, as well as at universities in Germany, China, and the UK. Since 2022, I am a Senior Fellow of the (UK) Higher Education Academy.
UNIVERSITY OF KOBLENZ
Universitätsstraße 1
56070 Koblenz