LUMS Inaugural Lecture: Professor Ahmad Daryanto
Wednesday 22 April 2026, 4:00pm to 5:00pm
Venue
Hybrid: Online and in personOpen to
All Lancaster University (non-partner) students, Alumni, Applicants, External Organisations, Families and young people, Postgraduates, Prospective International Students, Prospective Postgraduate Students, Prospective Undergraduate Students, Public, Staff, UndergraduatesRegistration
Free to attend - registration requiredRegistration Info
Event Details
Lancaster University Management School is excited to invite you to our Inaugural Lecture Series, a special set of public lectures celebrating the careers of our newest Professors.
Each lecture features a brief presentation by one of our Professors, offering an overview of their research and a glimpse into their personal academic journey.
This year, the lectures are hybrid, so you can attend in person or online via MS Teams, making them accessible to a broad audience including staff, students, alumni, and the wider public. Each session lasts approximately 60 minutes, including time for both the presentation and audience Q&A.
An inaugural lecture is a distinguished academic event, marking a colleague’s promotion to professorship—a significant milestone in their career. These lectures offer a unique opportunity for our newly appointed Professors to share their pioneering research, highlight achievements in research, innovation, engagement, and teaching, and showcase the societal impact of their work.
The series is free and open to everyone. Whether you are an expert in the field or simply curious, we warmly welcome all staff, students, their guests, and members of the local community to join us in celebrating these academic milestones.
Lecture Title
In Search of Places
About this lecture
Professor Ahmad Daryanto will deliver his inaugural lecture entitled "In Search of Places," presenting his new research to answer the question: Can Language AI detect human psychological constructs from text?
The lecture would appeal to coffee lovers and café lovers alike—especially those who've ever left a five-star review just because it felt like coming home. Note: Tea drinkers, don't worry—we see you too. Your chai latte reviews are equally revealing.
About the Speaker
Ahmad Daryanto (Anto) is a Professor of Marketing at Lancaster University Management School. His research interests are on data analytics and research methods, service marketing, and sustainable consumer behaviour. He has published in top international journals such as the Journal of Consumer Psychology, Journal of the Academy of Marketing Science, Journal of Service Research, Journal of Small Enterprises and Development, Industrial Marketing Management, Journal of Retailing and Consumer Services, Advances in Consumer Research, Journal of Business Research, and Personality and Individual Differences. Some of his research had been funded by Fundamental Research Funds for the Central Universities in China.
Anto currently acts as an associate editor for Sustainability Futures (Elsevier). He has acted as a co-chair session on marketing analytics and big data at the prestigious AMA winter conference 2020. Anto held a visiting professor position at Beijing Foreign Studies University (2016-2019) under the scheme of High- End Foreign Expert Program of Government of China. He received a foreign professor appreciation award while holding the visiting position at the BFSU.
Anto has acted as an external grant reviewer for UK Research Innovation (UKRI) future leadership (2020) and a lead reviewer for the British Academy small research grants (2020).
He is currently an external examiner at two universities: International Business School of Xi’an-Jiaotong Liverpool University for its marketing degree programs (2021 - 2024), and Regents' University of London for its new MSc program in Data Science and Business (2022-2026). He was an external examiner at Imperial College Business School, London, for its MSc in Strategic Marketing program (2018 - 2022).
Anto is a statistical programmer. He has invented several statistical programs for an SPSS environment. For instance, he is the inventor of EndoS, which is a software that can be used to address an endogeneity problem, which is one of the challenging problems in regression modelling; his HeteroskedasticityV3 software has been used by graduate students and researchers worldwide.
Contact Details
| Name | Sonia Stevenson |