Universiteit Leiden

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20th LCDS meeting: Big Data, Policy & Infrastructure

12 June 2017
Snellius Building
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