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Amsterdam Data Science and Elsevier Sign Long-Term Collaboration Agreement to Boost Local Data Science Scene

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Focus on applying latest technology to search, share and reuse data

Amsterdam, 1 November 2016 – Network organization Amsterdam Data Science (ADS) today signed an agreement with scientific information solutions provider Elsevier aimed at advancing data science research and education in Amsterdam. Both parties are embarking on a number of joint projects that will enable data scientists to access and share data and use the latest technology to collaborate and advance the field of data science together.

Kajsa Ollongren, Alderperson and deputy mayor of the City of Amsterdam, supports the initiative: “The partnership between Elsevier and Amsterdam Data Science is great news for Amsterdam as it helps us to further develop the city as a hub in data science and attracting international technology talent. Seeing our best educational and research institutes teaming up with Netherlands-based multinational science & health data company Elsevier will boost Amsterdam’s international competitive position and improve the overall data tech climate in the greater Amsterdam metro area.”

ADS and Elsevier will collaborate together on several fronts, including research and development, joint promotion of Amsterdam as a data science center, and data science talent development. This partnership marks the first long-term collaboration agreement signed by ADS, an initiative of the University of Amsterdam, VU University, Amsterdam University of Applied Sciences and Centrum Wiskunde & Informatica.

“Business and society are generating and storing more data than ever before”, said Prof. Marcel Worring, Director of the Informatics Institute at the University of Amsterdam. “The most-heard questions across sectors are how to find and use that data to gain new insights and make informed decisions, but also how to enable reproducibility of the data, deploy semantic technologies and create a safe data sharing environment. Answering these questions requires a multi-stakeholder approach involving partners from academics, business and society. ADS bundles these forces. In Elsevier we’ve found a partner that has a proven track record in deploying technology to analyze data, enable data sharing and reuse and facilitate collaboration among researchers.”

“As a global technology company, we’re engaging in data science and big data collaborations around the world”, said Michiel Kolman, Senior Vice President Global Academic Relations at Elsevier. “But our company has its roots and its head office in the Netherlands so it’s exciting to collaborate with ADS and local institutions to help develop our home city as a national and international data science hub, making it an even more attractive place for data science researchers. In addition to contributing to ADS’ goals ourselves, we’re looking forward to learn a lot from the companies and knowledge institutes that are part of the ADS network. Advancing data science is a multi-stakeholder endeavor.”

A number of projects have already started. These are focused on improving data search and reproducibility of research that will ultimately result in higher quality research outcomes. These projects entail:

* Developing better methods and infrastructure to share data for scientific experiments, ensuring better reuse of data in a safe and trusted manner.
* Developing new search and discovery technologies for searching data underlying scientific experiments.
* Applying knowledge graph technology to, for instance, help researchers find funding for their research or identify new relations that were previously not detectable.

Both parties have committed to developing new projects together in the years to come, among other things providing corporate work experience programs for grad students and post-docs at Elsevier, and specialized Elsevier staff engaging in teaching the next generation data scientists.

More information: http://amsterdamdatascience.nl/news/ads-elsevier-sign-long-term-collaboration-agreement/

#DigitalCity
T E, posted

Coffee & Data: Cities

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Visit Coffee & Data: Cities on Friday 7 October 2016 and learn about the opportunities of data science for cities and citizens. Get the latest insights from research into blockchain for cities, online neighbourhood platforms, city logistics and crowd management, and be inspired by updates from the municipality of Amsterdam and the Amsterdam Innovation Arena.

Coffee & Data is an event series by Amsterdam Data Science (ADS), a collaboration of UvA, VU, HvA, CWI, that offers the opportunity for researchers and business to share their knowledge and give insight on a central theme. There is also a chance to network with a cup of coffee.

With presentations by:

  • Tamas Erkelens (Programme Manager Data Innovation, Municipality of Amsterdam) - Data Innovation in Amsterdam
  • Ruurd Priester (Research Fellow, HvA) - Neighbourhood Insights
  • Marc Makkes (High Performance Distributed Computing Group, VU) - Blockchain for Cities
  • Hannes Mühleisen (Scientific staff member, CWI) - Crowd Management with Social Media
  • Jan Wester (TNO, Big Data Value Center) - Amsterdam Innovation Arena
  • Susanne Balm (Faculty of Technology, HvA) - City logistics in neighbourhoods

Register for this event at the ADS Meetup page: http://www.meetup.com/Amsterdam-Data-Science/events/232753585/

Background
In this Coffee & Data event we will explore the boundaries of data science technology and applications for cities and citizens. Citizens are generating masses of data on social media, voicing their opinions and sharing images of their neighbourhoods. Cities have many datasets, for example on public space, infrastructure and processes. Data scientists research how end users can gain new, valuable insights to improve city processes and neighbourhoods.

Part of Amsterdam eWeek
This ADS Coffee & Data Event is part of Amsterdam eWeek, 3-8 October 2016, the International Festival for Online Business, Media, Marketing and Technology. For more information see: <http://www.amsterdameweek.com>

Details
Location: University of Amsterdam, Oudemanhuispoort building, Room D0.08
Address: Oudemanhuispoort 4-6, Amsterdam
Date: Friday 7 October, 08:45 - 11:30 (see Meetup page for full programme)

Event on Oct 7th