Amsterdam Business School, Plantage Muidergracht, Amsterdam, Netherlands
ADS Festive Drinks & Data: 2017 Highlights & Looking Forward to 2018
ADS Drinks & Data: 2017 Highlights & Looking Forward to 2018
Amsterdam Data Science are thrilled to invite you to our Festive Drinks & Data afternoon on Thursday 07 December where we will celebrate our many 2017 highlights and share with you our big plans for 2018. After we will have drinks & delicious bites.
Date: Thursday 07 December 2017
Time: 15:30-18:00
Location: Amsterdam Business School (UvA) – Room M1.01
Programme
15:30 – Coffee
15:40 – Introduction & Chair by Maarten de Rijke (Informatics Institute, UvA) on “ADS 2017 Highlights”
15:45-16:55 – ADS strategic directions: 2017 Highlights & looking forward to 2018, 4-minute madness presentations followed by 1 minute question time on:
Foundations of Data Science, Health & Life Sciences, Digital Business, City Analytics, Responsible Data Science, Education & Entrepreneurship
15:45-15:55 – Foundations of Data Science
2017 Highlight: Peter Bloem (Department of Computer Science, VU) on “Information content of knowledge graphs”
Looking forward to 2018: Paola Grosso (Informatics Institute, UvA) on “Sustainable systems and software architectures”
15:55-16:05 – Health and Life Sciences
2017 Highlight: Mark Hoogendoorn (Department of Computer Science, VU) on “Predictive Modeling for Depressed Patients using Machine Learning Techniques”
Looking forward to 2018: Jasmijn Baaijens (Department of Life sciences & Health, CWI) on “Virus infections disentangled – towards a complete understanding of virus DNA”
16:05-16:15 – Digital Business
2017 Highlight: Rens Dimmendaal (Amsterdam Business School, UvA) on “Innovation & Data Science: Generating knowledge on the success factors of mobile apps”
Looking forward to 2018: Frans Feldberg (School of Business & Economics, VU) on “Data-Driven Business Innovation: How to Create Value from (Big) Data?”
16:15-16:25 – City Analytics
2017 Highlight: Stevan Rudinac (Amsterdam Business School & Informatics Institute, UvA) on “Multimedia Analytics in Urban Computing”
Looking forward to 2018: Nanda Piersma (Digital Media & Creative Industry HvA & Department of Intelligent & Autonomous Systems CWI) on “Urban analytics, urban well-being and citizen empowerment”
16:25-16:35 – Responsible Data Science
2017 Highlight: Frank van Harmelen (Department of Computer Science, VU) on “Responsible Data Science: Fairness, Accuracy, Confidentiality, and Transparency”
Looking forward to 2018: Aysenur Bilgin (Department of Information Access, CWI) on “The NEWSGAC (News Genres: Advancing Media History by Transparent Automatic Genre Classification) project”
16:35-16:45 – Education
2017 Highlight: Evangelos Kanoulas (Informatics Institute, UvA) on “The Data Science Master Track”
Looking forward to 2018: Geleyn Meijer (Faculty of Digital Media & Creative Industry, HvA) on “The Digital Society School”
16:45-16:55 – Entrepreneurship
2017 Highlight: To be added
Looking forward to 2018: Yulia Bodnar (Amsterdam Center for Entrepreneurship, ACE) on “How ACE supports entrepreneurship in data science”
16:55-17:00 – Lynda Hardman (Department of Information Access, CWI) on “Next Steps for ADS, from 2018 & onwards”
17:00-18:00 – Networking over festive drinks & bites
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Registration is free but please RSVP on our Meetup page. The event will be in English.
Amsterdam Data Science is a partnership of AUAS (HvA), CWI, UvA and VU. Our mission is to develop world-class data science talent and technology within the Amsterdam region. We are the focal point for research, innovation and education.