Dr. Recommender Systems: Mounia Lalmas becomes an honorary doctor in Gothenburg

The University of Gothenburg has appointed Mounia Lalmas (-Roelleke) as an honorary doctor at its Faculty of Science and Technology. That is a nice sentence to read. Not only because Lalmas is one of the best-known researchers at the intersection of information retrieval, user engagement, and recommender systems. Also because it is rare that recommender systems receive this kind of ceremonial academic visibility. The promotion ceremony will take place on October 23, 2026.

Lalmas is currently Senior Director of Research and Head of Tech Research at Spotify. Her work concerns the systems that decide what people find, hear, click, skip, save, and return to. Before Spotify, she worked at Yahoo, Microsoft Research, the University of Glasgow, and Queen Mary University of London. She also holds honorary or visiting roles at UCL and the University of Amsterdam. Since 2015, she has also been an Honorary Professor at University College London, where she co-supervises and examines MSc and PhD students and gives guest lectures on topics such as computational advertising, user engagement, social media, and search. Her publication record is long, but the short version is simple: she helped make engagement a serious research object, not just a dashboard number.

This is important for recommender systems. Our field has often been tempted by easy measurements. Accuracy. Click-through rate. Watch time. More recently, we have learned that these are useful but not sufficient. Lalmas has been one of the people pushing the conversation toward better questions. What is a good experience? What does a recommendation system optimize over time? How do we evaluate systems that interact with real people, at scale, under real product constraints? The Gothenburg announcement makes exactly this point: her recent work focuses on evaluating, personalizing, and making recommender systems serve users over time, not only in the next interaction.

An honorary doctor, or doctor honoris causa, is not a normal PhD. It is not awarded after coursework, a dissertation, and an oral defense. It is a university’s way of recognizing a person who has made a major contribution to research, education, or society. At Gothenburg, honorary doctorates are proposed through the university’s academic structures and decided by the faculty board. The Faculty of Science and Technology states that it honors people who have contributed significantly to research, education, or the advancement of knowledge in the faculty’s areas. So this is not a degree in the ordinary sense. It is a public academic honor.

This should not be confused with her Honorary Professorship at UCL. That role is an academic affiliation with teaching, supervision, and examination duties. The honorary doctorate from Gothenburg is different. It is a formal recognition by a university of her broader scientific and professional contribution. In other words, one is an academic role; the other is an academic honor.

In Lalmas’s case, there is a small joke hiding in the title. She is already Dr. Mounia Lalmas. Public biographies list her PhD in computer science from the University of Glasgow. So the honorary doctorate is not a substitute for an earned doctorate. It is a second kind of recognition. The university is not saying: “Here is the degree you missed.” It is saying: “Your work has shaped a field that matters to us.” For recommender systems, this distinction is beautiful. The honor is not only for a person. It is also a signal that our field has become mature enough to be honored as a field.

The University of Gothenburg is not a random place for this to happen. It has visible activity in recommender systems and human-centered AI. The key name here is Alan Said. He is Associate Professor of Computer Science at the Department of Applied Information Technology. His research covers recommender systems, personalization, evaluation, fairness, transparency, and sustainable AI. Gothenburg has also hosted work on trust in recommender systems and organized the Nordic Personalization Workshop, which focused on ethics and responsibility in personalization and recommender systems.

Was Alan Said the driving force behind Lalmas’s honorary doctorate? I do not have access to the nomination documents, so this remains speculation. But it is informed speculation. Gothenburg’s own process says that honorary doctors are proposed through academic units and then decided by the faculty board. Lalmas herself says that her connection to Gothenburg grew through the RecSys community and that the university has a strong presence there. Said is the most publicly visible recommender-systems scholar at Gothenburg. Also, Said and Lalmas have a documented professional history: they co-organized and co-authored work around the SIGIR 2013 workshop on benchmarking adaptive retrieval and recommender systems. That is not proof. But it is a rather suggestive footprint.

This is one reason why the honorary doctorate feels deserved and also well placed. Lalmas stands for a type of recommender-systems research that bridges industry and academia. Spotify is not a toy dataset. It is a global system where recommendations shape cultural consumption. That gives researchers access to questions that cannot easily be created in a lab. It also creates responsibility. Industry researchers can see the messy world. But they must also publish, explain, and generalize. Lalmas has done much of that work in public.

We should have more honorary doctorates in recommender systems. Not as a prize inflation mechanism. We already have awards, best papers, test-of-time awards, and program-committee service scars. We need something else: public academic rituals that tell universities, students, and the broader public that recommender systems are a serious intellectual field. ACM RecSys is now the central international forum for the discipline. The field has its own methods, its own evaluation problems, its own ethical failures, and its own very practical impact on daily life. That is enough material for a few honorary hats.

There is another point here, and it matters especially for professionals. A normal PhD is often not a realistic option once a person is deep inside industry. A doctorate usually means admission to a doctoral program, supervision, a dissertation, an oral examination, and years of focused academic work. That structure is valuable. It protects standards. But it also fits badly with many professional careers. People in companies may publish important papers, lead important systems, and shape entire research directions while having no practical path into a traditional doctoral program.

An honorary doctorate can recognize such people, but we should be honest about what it is. It is a symbolic substitute, not an earned one. For those who want the earned doctorate, cumulative dissertations are a promising bridge. At my University of Siegen, for example, the regulations in the Faculty of Science and Technology allow a cumulative dissertation based on a few peer-reviewed articles in which the doctoral candidate made a leading contribution, combined with an overarching scientific framing and the usual examination process. For professionals who publish as part of their work, this model can be much more realistic than leaving the industry for a classical PhD path.

So let us celebrate this one properly. Mounia Lalmas becoming an honorary doctor is good news for her, good news for Spotify, and good news for Gothenburg. But it is also good news for recommender systems. It says that building, studying, and criticizing personalization systems is not merely engineering support work. It is science. It is social infrastructure. It is culture. And sometimes, apparently, it even comes with a robe.