Analytics
Analytics
Analytics transforms data into information and provide insights to support organisations in making better decisions. Our academics conduct research in different areas of analytics including descriptive analytics and process management, predictive analytics and AI (machine learning), prescriptive analytics and decision making under uncertainty. Our research interests are broad and multidisciplinary with expertise in financial technology, revenue management, social media, transportation, and healthcare.
The DSSGx UK 2023 event, held at The Shard, showcased impactful projects addressing issues like deforestation, greenwashing, and educational support, with keynote insights from Sir Bernard Silverman on data science’s role in combating modern slavery.
Recent Papers
- Eftekhari, S., Yaraghi, N., Gopal, R.D. and Ramesh, R., 2023. Impact of health information exchange adoption on referral patterns. Management science, 69(3), pp.1615-1638.
- Liang, G., Strub, M.S. and Wang, Y., 2023. Predictable forward performance processes: Infrequent evaluation and applications to human‐machine interactions. Mathematical Finance, 33(4), pp.1248-1286.
- Karaca, U., Birbil, Ş.İ., Aydın, N. and Mullaoğlu, G., 2023. Masking primal and dual models for data privacy in network revenue management. European Journal of Operational Research, 308(2), pp.818-831.
- Wang, L., Gopal, R., Shankar, R. and Pancras, J., 2022. Forecasting venue popularity on location‐based services using interpretable machine learning. Production and Operations Management, 31(7), pp.2773-2788.
- Pearce, M.A.L., Poloczek, M. and Branke, J., 2022. Bayesian optimization allowing for common random numbers. Operations Research, 70(6), pp.3457-3472.
- Anderson, E., Chen, B. and Shao, L., 2022. Capacity games with supply function competition. Operations Research, 70(4), pp.1969-1983.