Worum es bei uns geht

๐—”๐—บ๐˜€๐˜๐—ฒ๐—ฟ๐—ฑ๐—ฎ๐—บ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ (ADS) accelerates ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ and ๐—”๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ (AI) 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.

๐—”๐——๐—ฆ is a collaboration of Amsterdam University of Applied Sciences (AUAS/HvA), Centrum Wiskunde Informatica (CWI), University of Amsterdam (UvA) and Vrije University Amsterdam (VU).

All our events are in English and attendance is free but please sign up in advance through Meet-up.

Find out more about ADS at https://amsterdamdatascience.nl/

We bring together data science researchers from academia, industry, and government to share ideas, pursue research, and foster talent.

๐—”๐——๐—ฆ ๐—š๐—ผ๐—น๐—ฑ ๐—ฃ๐—ฎ๐—ฟ๐˜๐—ป๐—ฒ๐—ฟ๐˜€
โ€ข Faculty of Digital Media and Creative Industries, HvA
โ€ข Amsterdam University of Applied Sciences, HvA
โ€ข Centrum Wiskunde en Informatica (CWI)
โ€ข Amsterdam Business School and Amsterdam School of Economics, UvA
โ€ข Informatics Institute (IvI), UvA
โ€ข Computer Science, VU

โ€ข Elsevier: Empowering Knowledge
โ€ข Qualogy: Quality in Information Technology
โ€ข VodafoneZiggo
โ€ข ING Bank

Bevorstehende Events (5)

ADS Drinks & Data: Tech Talks in Data Science, AI and Machine Learning

๐—”๐——๐—ฆ ๐——๐—ฟ๐—ถ๐—ป๐—ธ๐˜€ & ๐——๐—ฎ๐˜๐—ฎ: ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ง๐—ฎ๐—น๐—ธ๐˜€ ๐—ถ๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ, ๐—”๐—œ ๐—ฎ๐—ป๐—ฑ ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด Amsterdam Data Science would like to invite you to a special Drinks & Data event at the Spark + AI Summit that will then be ongoing at the RAI Exhibition Center in Amsterdam. In collaboration with Databricks and WiTNL we will be aiming to help connect and empower women in Data Science, AI and ML, and their allies. Tech Talks will focus on highly technical themes and topics to give an in depth view of our speakers' cutting edge research. ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ฒ 18:30 Walk-in & Drinks 19:00 Welcome & Introduction by ADS, Databricks & WiTNL 19:15 Invited Talk #1: Understanding the Depop Inventory by Clemence J Burnichon ๐˜“๐˜ฆ๐˜ข๐˜ฅ ๐˜‹๐˜ข๐˜ต๐˜ข ๐˜š๐˜ค๐˜ช๐˜ฆ๐˜ฏ๐˜ต๐˜ช๐˜ด๐˜ต ๐˜ข๐˜ต ๐˜‹๐˜ฆ๐˜ฑ๐˜ฐ๐˜ฑ 19:50 Invited Talk #2: How to Create a Scalable Machine Learning Pipeline Leveraging Databricks' Ecosystem by Adi Polak ๐˜š๐˜ฆ๐˜ฏ๐˜ช๐˜ฐ๐˜ณ ๐˜Š๐˜ญ๐˜ฐ๐˜ถ๐˜ฅ ๐˜‹๐˜ฆ๐˜ท๐˜ฆ๐˜ญ๐˜ฐ๐˜ฑ๐˜ฆ๐˜ณ ๐˜ˆ๐˜ฅ๐˜ท๐˜ฐ๐˜ค๐˜ข๐˜ต๐˜ฆ ๐˜ข๐˜ต ๐˜”๐˜ช๐˜ค๐˜ณ๐˜ฐ๐˜ด๐˜ฐ๐˜ง๐˜ต 20:25 Invited Talk #3: How to Make Knowledge Graphs Work for Humans by Laura Hollink ๐˜›๐˜ฆ๐˜ฏ๐˜ถ๐˜ณ๐˜ฆ ๐˜›๐˜ณ๐˜ข๐˜ค๐˜ฌ ๐˜™๐˜ฆ๐˜ด๐˜ฆ๐˜ข๐˜ณ๐˜ค๐˜ฉ๐˜ฆ๐˜ณ, ๐˜๐˜ฏ๐˜ง๐˜ฐ๐˜ณ๐˜ฎ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ ๐˜ˆ๐˜ค๐˜ค๐˜ฆ๐˜ด๐˜ด ๐˜ข๐˜ต ๐˜Š๐˜ž๐˜ 21:00 End ๐——๐—ฒ๐˜๐—ฎ๐—ถ๐—น๐˜€ Date: Tuesday 15th October Time: 18:30-21:00 Location: Forum Room @ RAI Exhibition Center *** Registration is free but you must do so in advance through Meetup. The event will be in English and is open to all. *** Amsterdam Data Science (ADS) 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. Women in Tech NL is the Dutch chapter of Women in Tech - Global Movement and it is a global platform with members from 60 countries in the world. Their goal is to bring together Academia, Industry and the Start-Ups, individuals and organisations, women and men, everyone who is dedicated to work towards closing the gender gap in tech. *** We will be taking photos of the event and posting them on the ADS website and social media channels. If you have any questions or concerns, please contact us through this Meetup page or via the ADS website: www.amsterdamdatascience.nl

ADS Drinks & Data: A-Z of Data Science

Science Park 904

๐—”๐——๐—ฆ ๐——๐—ฟ๐—ถ๐—ป๐—ธ๐˜€ & ๐——๐—ฎ๐˜๐—ฎ: ๐—”-๐—ญ ๐—ผ๐—ณ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ Ever wondered how Data Science can be applied to every-day problems? In this ADS Drinks & Data Meetup we hear from three Data Scientist about the work they've carried out, from identifying the problem to how they used Data Science to solve it. ๐— ๐—ฎ๐—ฟ๐—ถ๐—ฒ๐—ธ๐—ฒ ๐˜ƒ๐—ฎ๐—ป ๐—˜๐—ฟ๐—ฝ Lead Digital Humanities Lab at KNAW Chair ๐——๐—ฎ๐—ฎ๐—ป ๐—ข๐—ฑ๐—ถ๐—ท๐—ธ Lead Data Scientist at RTL Invited Talk #1 Topic: Searching to be Entertained Daan is the Lead Data Scientist at RTL, where he takes on the challenges of a broadcaster, such as delivering content more personally. Daan was previously at Blendle, leading a team of data scientist and engineers to help the news aggregator become more data-driven and the user experience more personal. As an applied researcher, he actively pursues collaborations to put research into practice. Daan enjoys bridging disciplines and the challenges of working with a team to use data to improve a product experience. ๐—–๐—ต๐—ฎ๐—ป๐˜๐—ฎ๐—น ๐˜ƒ๐—ฎ๐—ป ๐—ฆ๐—ผ๐—ป PhD candidate in Computational Linguistics at VU Invited Talk #2 Topic: Alternative Facts: Finding Contradicting Information In and Across Texts Chantal van Son is a PhD candidate in Computational Linguistics and is conducting her research in the Computational Lexicology and Terminology Lab (CLTL) at the VU Amsterdam. Her research focuses on finding contradicting information in and across texts, for instance when one fact is in conflict with another, or when two people express different perspectives towards the same statement. In the age of 'alternative facts', 'fake news' and 'filter bubbles', she hopes to contribute to more complete, transparent and balanced access to information for web users. Her use case is the online vaccination debate, which has been one of the most heated and polarised debate topics for years now, and which impact on public health is evident. ๐—™๐—น๐—ฎ๐˜ƒ๐—ถ๐—ฎ ๐—•๐—ฎ๐—ฟ๐˜€๐—ผ๐˜๐˜๐—ถ Model Risk Oversight at ING Invited Talk #3 Topic: Data Science and Modelling Flavia is working for ING Bank in Model Risk Oversight. She has joined ING Bank in January 2019 in Model Validation. Before ING, Flavia has been working for UniCredit Group as quantitative analyst, on design and development of internal models on the trading book side (Counterparty Credit Risk) and stress tests for behavioural models (Interest Rate Risk) on the banking book side. Before joining the banking sector, Flavia has worked as Maรฎtre de Confรฉrences at University of Lyon (Mathematics and Mathematical Applications), after a 1 year Post-Doc position in quantitative finance and applied mathematics at University of Florence. She is still active in scientific research. Flavia holds a PhD in Mathematics for Economic Decisions obtained through a joint program between University of Pisa & University of Toulouse. She believes that research and risk modeling can benefit from synergies between science and business to meet the challenging demands for โ€˜โ€™future bankingโ€™โ€™. ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ฒ 17:00 Walk-in & Drinks 17:15 Welcome & Introduction 17:30 Invited Talk #1: Searching to be Entertained 18:00 Invited Talk #2: Alternative Facts 18:30 Invited Talk #3: Data Science and Modelling 19:00 Questions & Answers 19:30 Drinks, Pizza & Networking 20:00 End ๐——๐—ฒ๐˜๐—ฎ๐—ถ๐—น๐˜€ Date: Thursday 24 October 2019 Time: 17:00-20:00 Location: Science Park 904, room C0.05

Quantum Computing in Banking & Finance

Royal Industrieele Groote Club

๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐—•๐—ฎ๐—ป๐—ธ๐—ถ๐—ป๐—ด & ๐—™๐—ถ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ Join Amsterdam Data Science for this conference on the challenges and implications of Quantum Computing on Banking & Finance, with world renowned speakers from academia and the industry. Please register for this event via Eventbrite: https://www.eventbrite.com/e/quantum-computing-in-banking-finance-tickets-73561964817 ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ฒ 14:00 ๐™Œ๐™ช๐™–๐™ฃ๐™ฉ๐™ช๐™ข ๐˜พ๐™ค๐™ข๐™ฅ๐™ช๐™ฉ๐™ž๐™ฃ๐™œ ๐™๐™ช๐™ฃ๐™™๐™–๐™ข๐™š๐™ฃ๐™ฉ๐™–๐™ก๐™จ - Outlook on Quantum Computing Technology by Barbara Terhal (Professor at QuTech/TU Delft) - Algorithms and Software for Quantum Applications (in finance) by Stacey Jeffery (CWI & UvA) 15:00 ๐™„๐™ข๐™ฅ๐™ก๐™ž๐™˜๐™–๐™ฉ๐™ž๐™ค๐™ฃ๐™จ ๐™›๐™ค๐™ง ๐˜ฝ๐™–๐™ฃ๐™ ๐™ž๐™ฃ๐™œ ๐™–๐™ฃ๐™™ ๐™๐™ž๐™ฃ๐™–๐™ฃ๐™˜๐™š (1) General overview by Stefan Woerner (Global Lead Quantum Finance & Optimization, IBM Research, Zurich) 15:30 ๐™„๐™ข๐™ฅ๐™ก๐™ž๐™˜๐™–๐™ฉ๐™ž๐™ค๐™ฃ๐™จ ๐™›๐™ค๐™ง ๐˜ฝ๐™–๐™ฃ๐™ ๐™ž๐™ฃ๐™œ ๐™–๐™ฃ๐™™ ๐™๐™ž๐™ฃ๐™–๐™ฃ๐™˜๐™š (2) - Risk Analytics by Drona Kandhai & Adil Acun (Quantitative Analytics, ING) - Quantum computing and payment systems by Oscar Covers (Cyber Security Analyst, Betaalvereniging) - Information security by Dimitri van Esch & Shairesh Algoe (Quantum Computing Leads, ABNAMRO) 16:30 ๐™Œ๐™ช๐™š๐™จ๐™ฉ๐™ž๐™ค๐™ฃ๐™จ & ๐˜ฟ๐™ž๐™จ๐™˜๐™ช๐™จ๐™จ๐™ž๐™ค๐™ฃ ๐™ฌ๐™ž๐™ฉ๐™ ๐™ฉ๐™๐™š ๐™Ž๐™ฅ๐™š๐™–๐™ ๐™š๐™ง๐™จ Moderated by Hans van Loon (Cybersecurity Advisory, NVB) 16:45 Drinks & Networking 17:30 End This programme will be moderated by Hans Amman and Marc Salomon from the University of Amsterdam Business School. ๐——๐—ฒ๐˜๐—ฎ๐—ถ๐—น๐˜€ Date: Friday 8th November 2019 Time: 15:00-17:30 Location: Koninklijke Industrieele Groote Club, Dam 27, 1012 JS, Amsterdam *** Registration is free but you must do so in advance through Eventbrite: https://www.eventbrite.com/e/quantum-computing-in-banking-finance-tickets-73561964817 The event will be in English and is open to all. *** Amsterdam Data Science (ADS) 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. *** We will be taking photos of the event and posting them on the ADS website and social media channels. If you have any questions or concerns, please contact us through this Meetup page or via the ADS website: www.amsterdamdatascience.nl

ADS Event: Sport Data Challenge

Startup Village

Are you interested in all the incredible ways sport data can be used? Do you want to help people run faster and run smarter? Or are you interested in the small details that have the biggest impact on competition day? Join us for the very first Sport Data Challenge for a chance to show off your data skills and win amazing prizes. ๐—ช๐—ฒ ๐—ต๐—ฎ๐˜ƒ๐—ฒ ๐—น๐—ถ๐—บ๐—ถ๐˜๐—ฒ๐—ฑ ๐—ฝ๐—น๐—ฎ๐—ฐ๐—ฒ๐˜€ ๐—ฎ๐˜ƒ๐—ฎ๐—ถ๐—น๐—ฎ๐—ฏ๐—น๐—ฒ ๐˜€๐—ผ ๐—ฟ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ถ๐—ป๐˜๐—ฒ๐—ฟ๐—ฒ๐˜€๐˜ ๐—ก๐—ข๐—ช. You must register through this link: http://bit.ly/sportdatachallenge Once registration closes we will be in contact with more information. ๐—ช๐—ต๐—ผ ๐—ฎ๐—ฟ๐—ฒ ๐˜„๐—ฒ ๐—น๐—ผ๐—ผ๐—ธ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ? We are looking for students (Bachelors, Masters or PhDs) who are looking for a challenge in creating a real impact in the world of Dutch sports. We want your help to revolutionize and innovate the field and take Dutch sports to the next level. If you are passionate about data and have knowledge and experience with data science, machine learning, algorithms or artificial intelligence, sign up here! ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ฒ 12:30 - Welcome lunch 13:00 - Keynote 13:30 - Introduction 14:00 - Challenge 19:00 - Pizza & Wrap-up 20:00 - Ceremony & Drinks 21:30 - End ๐——๐—ฎ๐˜๐—ฎ How? Thanks to Le Champion - Various running events - Multiple years - Runner information - Fun details such as shoe brand - Distance/time intervals - Type of runner (e.g. amature) ๐—˜๐˜…๐—ฎ๐—บ๐—ฝ๐—น๐—ฒ ๐—–๐—ต๐—ฎ๐—น๐—น๐—ฒ๐—ป๐—ด๐—ฒ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ โ€œWhat is the impact of bad weather and how can the organisation react?โ€ โ€œWhat does it take to run the Dam tot Dam Loop in less than two hours? Can a speed analyses help?โ€ ๐—ช๐—ฒ ๐—ต๐—ฎ๐˜ƒ๐—ฒ ๐—น๐—ถ๐—บ๐—ถ๐˜๐—ฒ๐—ฑ ๐—ฝ๐—น๐—ฎ๐—ฐ๐—ฒ๐˜€ ๐—ฎ๐˜ƒ๐—ฎ๐—ถ๐—น๐—ฎ๐—ฏ๐—น๐—ฒ ๐˜€๐—ผ ๐—ฟ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ถ๐—ป๐˜๐—ฒ๐—ฟ๐—ฒ๐˜€๐˜ ๐—ก๐—ข๐—ช. You must register through this link: http://bit.ly/sportdatachallenge Once registration closes we will be in contact with more information.

Vergangene Events (78)

ADS Drinks & Data: Data Science on Human Interaction

Centrum Wiskunde & Informatica

Fotos (392)