ICAI Deep-Dive Data Series II: Public Data Application

This is a HYBRID event. It will be hosted at the University of Amsterdam. We will announce the room later.

*For participation on-site, please sign up here.
*For participation online, please sign up here.

About ICAI Deep-Dive:

ICAI Deep-Dive is a community meetup that focuses on shared interested topics and subjects in-depth, despite the differences in the primary research domains of each community member and lab. The aim is to promote knowledge production, transferring, and utilization via experience sharing and open discussion, finding solutions for the common challenges and issues in the community.

Program

13:00 Opening

13:03 Marcel Worring (Police Lab AI Amsterdam, UvA), presents “Using Public and Closed Data to Catch Criminals”

13:16 Q&A
How is police research different from regular university research?
How to make the results trustworthy?
How to make the results explainable?

13:30 Renato Calzone (JADS) will introduce ILUSTRE Lab.
13:35 Martijn Willemsen (TU Eindhoven, JADS) will present “Public data application on the energy usage recommendation system”
13:45 Q&A

14:00 End

***

Abstract:

Using Public and Closed Data to Catch Criminals

“The National Police Lab AI is a collaboration between the National Police, University Utrecht and University of Amsterdam. The lab is consisting of over 15 people and growing. In the lab there are three main streams of research: Data-driven, in particular, deep learning
based, methods, knowledge driven techniques to bring in the domain specifics and simulations to make predictions. In this talk we will elaborate on the different research areas, their reliance on data, and the ways of working in the lab where we cover the whole chain from fundamental research through applied research and on to deployment in the operation.”

Deep-Dive Data Series:

  • Event I: 12th May on Medical Data Usage.
  • Event II: 29th June on Public Data Application.
  • Event III: Fall 2022.
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Date

29 Jun 2022

Time

13:00 - 14:00

Labels

DEEP-DIVE SERIES,
HYBRID EVENT