20th LCDS meeting: Big Data, Policy & Infrastructure
- 12 June 2017
Niels Bohrweg 1
2333 CA Leiden
Economic and infrastructure data can provide policymakers with new insights. How can this data efficiently be processed and analyzed in a meaningful way, using techniques from the field of data science?
This meeting is organized in collaboration with Statistics Netherlands (CBS) and the Ministry of Infrastructure and the Environment (I&M).
14.00 - 14.10 Welcome by the board of LCDS
14.10 - 14.35 Beyond effective heuristics: Predictable, robust and performant AI - Holger H. Hoos (LIACS)
14.35 - 15.00 The story of the ILT ID-lab - Anne Marie Hollander & Jacques Niehof (Ministry of I&M, Human Environment and Transport Inspectorate/ILT)
15.00 - 15.25 A data-driven supply-side method to accurately estimate cross-border online consumption of goods - Quinten Meertens (CBS)
15.25 - 15.45 Break
15.45 - 16.10 Complexity in company turnover as measured from big data - Frank Pijpers (CBS)
16.10 - 16.35 RWS Datalab and case study on pavement deterioration - Martijn Koole (Ministry of I&M, Datalab Rijkswaterstaat)
16:35 – 17:00 Improving efficiency of inland ship inspection - Cor Veenman (LIACS)
17.00 - 17.15 Closing remarks