ADS Coffee & Data: Sustainable Systems & Software Architectures

Date: Friday 08 June 2018

Time: 09:30-11:30

Location: VU Main Building, Agora 1 (3rd Floor)

Registration: https://www.meetup.com/Amsterdam-Data-Science/

Theme: ADS Coffee & Data: Sustainable Systems & Software ArchitecturesADS Coffee & Data offers the opportunity for researchers and business to share their knowledge and give insight on a central theme, specifically on the morning of Friday 08 June this will be on Data Science in Sustainable Systems & Software Architectures. The event will be an opportunity to gain insight on the potential of data science to address challenges in this theme. There will also be a chance to network with a cup of coffee.

09:30-09:45: Coffee & walk-in

Introduction & Chair: : Patricia Lago, Full Professor, Software and Services Research Group Lead, Department of Computer Science, VU Amsterdam
https://www.cs.vu.nl/~patricia/Patricia_Lago/Home.html

09:45-10:10: Ivano Malavolta, Assistant Professor in Data-Driven Software Engineering, Software and Services Research Group, Department of Computer Science, VU Amsterdam
http://www.ivanomalavolta.com

“Experimenting on Mobile Apps Quality – a tale about Energy, Performance, and Users’ Perception”

10:10-10:35: Giuseppe Procaccianti & Marco Gracia, Vandebron/Big Data team, https://vandebron.nl/

“Reactive fast-data Architectures for Smart Charging of Electric Vehicles”

10:35-11:00: Jorge Luis Reyes, Senior Data Researcher, Sense Health, https://www.sense-health.com

“Data-driven mental healthcare for a sustainable society”

11:00-11:30 Coffee & Networking

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Registration is free but please do so in advance through Meetup.

The event will be in English and is open to all.

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Amsterdam Data Science (ADS) accelerates data science and artificial intelligence research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.