EVENTS

ADS Research Assistants: Project Highlights

Details

May 16, 2017 - 10:00
Event Seminars

Venue

52.3337568
4.865719899999931

Event Overview:

In June 2016, Amsterdam Data Science awarded funding for 12 research assistant projects across the ADS partners (CWI, HvA, UvA, VU). In this meeting, each project will briefly present their project highlights. The projects span multiple research disciplines and knowledge institutions. Please join us to participate and gain more insight on the range of projects.

Each Research Assistant will present their key project highlights, what worked & what did not in 5 minutes (4 minutes presentation plus 1 minute question time).

Registration is free but please do so in advance through Meet-up

The event will be in English and is open to all

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Date: Tuesday 16 May

Location: VU W&N Building – Room WN-M129

Time: 10:00-11:30

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10:00 Opening & Introduction

10:00-10:35

1. Exploiting Free Text in Patient Records to Derive Healthcare Quality Indicators

Presented by Research Assistant: Robert-Jan Bruintjes. Project Leaders: Annette ten Teije (VU), Roel Lakmaker (CTcue)

2. Medical Information Extraction: From Patient Dossiers to Structured Forms

Presented by Research Assistant: Christina Zavou. Project Leaders: Evangelos Kanoulas (IvI, UvA), Lydia Mennes (CTcue)

3. Deep Learning with Optimal Spatial Scale Selection

Presented by: Sander Bohte (CWI). Research Assistant: Gereon Vienken. Project Leaders: Steven Scholte (FMG, UvA), Sander Bohte (CWI)

4. Multimodal Evidence of Concept Drift

Presented by Research Assistant: Oliver Becher. Project Leaders: Desmond Elliott ILLC, UvA), Laura Hollink (CWI)

5. The RDF Unified Migration Portal

Presented by Research Assistant: Dimitris Alivas. Project Leaders: Rinke Hoekstra and Albert Meroño Peñuela (Computer Science, VU), Auke Rijpma (International Institute of Social History, Amsterdam)

6. The RDF Unified Migration Portal

Presented by Research Assistant: Francesca Ceolan. Project Leaders: Rinke Hoekstra and Albert Meroño Peñuela (Computer Science, VU), Auke Rijpma (International Institute of Social History, Amsterdam)

10:35-10:50 Break

10:50-11:25

7. Crowd Management with Social Media (CroM-SoM)

Presented by Research Assistant: Maartje Kruijt. Project Leaders: Kathrin Dentler (Computer Science, VU), Hannes Muhleisen (CWI)

8. Crowd Management with Social Media (CroM-SoM)

Presented by Research Assistant: Ahmad Kabakibi. Project Leaders: Kathrin Dentler (Computer Science, VU), Hannes Muhleisen (CWI)

9. Comparing Bias in Europe – A Social Data Science Approach

Presented by Research Assistant: Maarten de Jonge. Project Leaders: Bob van de Velde (IvI & ASCoR, UvA); Maarten Marx (IvI, UvA)

10. Data Science Driven Journalism

Presented by Research Assistant: Paul Schrijver. Project Leaders: Maarten Marx (IvI, UvA), Dimitri Tokmetzis (Dagblad De Correspondent, Amsterdam)

11. Measuring and Improving City Livability

Presented by Research Assistant: Guido Jansen. Project Leaders: Wouter Meys (Citizen Data Lab, HvA), Stevan Rudinac and Marcel Worring (IvI, UvA)

12. Measuring and Improving City Livability

Presented by Research Assistant: Igna Vermeulen. Project Leaders: Wouter Meys (Citizen Data Lab, HvA), Stevan Rudinac and Marcel Worring (IvI, UvA)

11:25-11:30: Wrap-up & Close

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Amsterdam Data Science accelerates data science 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.

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ADS is an initiative of:

• Faculty of Digital Media and Creative Industries, Amsterdam University of Applied Sciences (AUAS)

• Centrum Wiskunde & Informatica (CWI)

• Informatics Institute, University of Amsterdam (UvA)

• Amsterdam Business School, Amsterdam School of Economics, Economics and Business, UvA

• Department of Computer Science, Vrije Universiteit Amsterdam (VU)

• Department of Mathematics, Faculty of Economics, Amsterdam Center for Business Analytics (ACBA), VU