Name: ICAI Deep-Dive Data II: The positive impact of using AI and data in our lives
Start: 2022-06-29T13:00:00+02:00
End: 2022-06-29T14:00:00+02:00

Ëvent name: ICAI Deep-Dive Data Series II: **From criminal catching to energy saving: The positive impact of using AI and data in our lives.**

This is a **HYBRID** event.

\*For participation **on-site**, please [sign up here](https://icai.ai/registration-form-icai-deep-dive-data-series-ii-public-data-application/). The walk-in time is from 12:45 pm on.

**Location**:
Science Park G
Room G 0.18B
Science Park 508
1098 XH Amsterdam
[https://www.uva.nl/locaties/sciencepark/science-park-g.html](https://www.uva.nl/locaties/sciencepark/science-park-g.html)

\*For participation **online**, please sign up via this page.

**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 by Esther Smit( ICAI, UvA)

13:03 [Marcel Worring ](https://staff.fnwi.uva.nl/m.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](https://www.linkedin.com/in/renatocalzone/) (JADS) will introduce ILUSTRE Lab.
13:35 [Martijn Willemsen](https://martijnwillemsen.nl/) (TU Eindhoven, JADS) will present "Energy Saving recommendations: personalized advice is important to achieve a successful energy transition"
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."

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**Energy Saving recommendations: personalized advice is important to achieve a successful energy transition**

To achieve a more sustainable energy system, we have to take into account all stakeholders involved. Governmental agencies and energy suppliers and distributors work together to shape the environment in which new sustainable innovations such as heat-pump, solar PV and electric vehicles can have a place. Subsidies and regulations might motivate consumers to invest in these new technologies or to adapt their life-style to reduce and change their energy consumption. However, such policies are often ineffective as consumers are unaware of what measures to take and which measures fit them best. I will demonstrate how personalized energy recommendations tailored to the energy saving ability of the consumer are effective in helping consumers to know what to change. I will also discuss how we plan to extend this work (in the context of the Ilustre LAB) to topics such as grid balancing, in which current Demand-response methods do not yet use the full potential of AI and recommendations to have individual users play a more active role in aligning supply and demand of energy.

**Deep-Dive Data Series**:

* Event I: 12th May on **Medical Data Usage.**
* Event II: 29th June on **From criminal catching to energy saving: The positive impact of using AI and Data in our lives**
* Event III: Fall 2022.

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