| Dec. 4 | Title | Speaker | |
| 10:00 | 10:05 | Welcome | Henrik Boström, SU |
| 10:05 | 10:30 | Analyzing structured and unstructured data in electronic health records | Jing Zhao, Aron Henriksson, SU |
| 10:30 | 10:45 | Facilitating statistical and visual pattern detection in large databases of electronic health records: Introducing the vigiTrace analytics suite | Ola Caster, WHO Uppsala Monitoring Centre |
| 10:45 | 11:00 | WEB-RADR: An IMI project for gathering and analysing adverse drug reaction information from smartphones and social media | Johan Ellenius, WHO Uppsala Monitoring Centre |
| 11:00 | 11:30 | Challenges created by Life Sciences – Beyond the big data problems | Jan Komorowski, UU |
| 11:30 | 12:00 | Automating bioinformatics analyses on Swedish e-infrastructures | Ola Spjuth, UU |
| 12:00 | 13:00 | Lunch | |
| 13:00 | 13:30 | Conformal prediction – a tutorial for machine learning researchers | Ulf Johansson, HB |
| 13:30 | 13:45 | Conformal prediction in Bioclipse | Ernst Ahlberg, AstraZeneca |
| 13:45 | 14:00 | Computational Toxicology at Swetox | Ulf Norinder, Swetox |
| 14:00 | 14:30 | Integrated Vehicle Health Management at Scania AB | Jonas Biteus, Scania, Tony Lindgren, SU |
| 14:30 | 15:00 | Deep Convolutional Networks and solving large scale computer vision problems | Josephine Sullivan, KTH |
| 15:00 | 15:30 | Break | |
| 15:30 | 16:00 | Machine Learning at Chalmers CSE: Graph Kernels, Word and Graph Embeddings and Bayesian Reinforcement Learning | Devdatt Dubhashi, CTH |
| 16:00 | 16:15 | Interactive learning problems, adaptive experiment design and optimal optimisation | Christos Dimitrakakis, CTH |
| 16:15 | 16:30 | Some problems in business data science and risk analytics | Desheng Dash Wu, SU |
| 16:30 | 17:00 | Data Science at University of Skövde | Alexander Karlsson m.fl., HIS |
| 17:00 | 17:30 | Center for Applied Intelligent Systems Research (CAISR) at Halmstad University | Jens Lundström, HH |
| 18:30 | 20:30 | Dinner | |
| Dec. 5 | Title | Speaker | |
| 09:00 | 09:30 | Is my network reproducible? Sparsity selection and network validation via bootstrap | Rebecka Jörnsten, CTH |
| 09:30 | 09:45 | Indexing and Mining Large Data Series | Panagiotis Papapetrou, SU |
| 09:45 | 10:00 | Learning from small graphs | Thashmee Karunaratne, SU |
| 10:00 | 10:15 | Data-Driven Prognostics of Lead-Acid Batteries using Random Survival Forests | Erik Frisk, Mattias Krysander, LiU |
| 10:15 | 10:30 | Self-organizing management of large-scale heterogeneous networks | Olof Görnerup, SICS |
| 10:30 | 11:00 | Presentation of discussion topics: | |
| Creating a National Data Science Doctoral Programme in Sweden: Some international examples | Devdatt Dubhashi, CTH | ||
| Computational Life Sciences | Jan Komorowski, UU | ||
| Data Driven Vehicle Health Management | Jonas Biteus, Scania | ||
| Adaptive experiment design and robot scientists | Christos Dimitrakakis, CTH | ||
| Finding common scientific grounds in applied research across multiple domains | Jens Lundström, HH | ||
| Comprehensible models from high-dimensional or complex data | Niklas Lavesson, BTH | ||
| Data series: summarization, indexing, and modeling | Panagiotis Papapetrou, SU | ||
| 11:00 | 12:00 | Group discussions I | |
| 12:00 | 13:00 | Lunch | |
| 13:00 | 15:00 | Group discussions II | |
| 15:00 | 16:00 | Plenary presentation of discussion outcomes |
Program
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