• ADS Drinks & Data: ADS Meets SIGMOD

    Beurs van Berlage

    Amsterdam Data Science would like to invite you to a special Drinks & Data event at the premier data management conference ACM SIGMOD/PODS 2019 that will then be ongoing at the Beurs van Berlage in Amsterdam. The preceding catered reception will also give you the chance to see some of the posters and demos at the conference before hearing from experts in the field on topics in knowledge acquisition from data and machine learning infrastructure. Programme 17:30 Welcome drinks 17:55 Introduction Peter Boncz, Professor at VU Amsterdam and Senior Researcher at CWI. 18:00 Invited Talk #1: Infrastructure for Machine Learning: Ideas from Industry and Research Matei Zaharia, original creator of Apache Spark, professor at Stanford University and Chief Technologist and Co-Founder of Databricks. 18:30 Invited Talk #2: Ceres: Harvesting knowledge from the semi-structured web Xin Luna Dong, Principal Scientist at Amazon, leading the Amazon Product Knowledge Graph, and previously involved in Google’s Knowledge Vault. 19:00 Invited Talk #3: Topic Pages: From Articles to Answers Deep Kayal, Senior Data Scientist at Elsevier, specializing in Natural Language Processing and Machine Learning. 19:30 Closing Remarks Alexander van Boetzelaer, EVP Strategy at Elsevier. 19:35 Drinks & Networking 20:00 End Date: Thursday 4th July Time: 17:30-20:00 Location: Beurs van Berlage, Damrak 243, Amsterdam *** Registration is free but you must do so in advance through Meet-up. 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. ACM SIGMOD/PODS Conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. *** 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

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  • ADS Drinks & Data: Deep Dive Text Analytics

    Vrije Universiteit Amsterdam

    Amsterdam Data Science would like to invite you to our Drinks & Data: Text Analytics Meetup on Monday 20 May 2019 at 15:00. We will kick-off our Deep Dive into Text Analytics initiative with pitches from KPN and APG-AM. If your company is interested in contributing their own project for this Meetup, please contact Giulia (details below). We will provide you with further information about how to participate. The topics for this Meetup include Semi-Supervised/Active Learning, Sentiment Analysis, Interpretability, NLP & Classification, Data Labelling and Summarization. The final submitted projects will be showcased and the participants in the work-stream will jointly identify scope and logistics of their collaboration. Current Projects • KPN - Benchmarking approaches to transfer learning in NLP • APG-AM - Focus on summarization For more information on the Meetup: https://amsterdamdatascience.nl/wp-content/uploads/2019/04/ADS-Drinks-and-Data-Deep-Dive-into-Text-Analytics.pdf Programme 15:00-15:15 Walk-in with drinks 15:15-15:30 Welcome & introduction by Evangelos Kanoulas, Professor of Information Retrieval, UvA, and Gianluigi Bardelloni, Data Scientist, KPN 15:30-16:15 Topic pitches from all companies 16:15-17:00 Parallel workshop sessions for each topic (4 max.) 17:00-17:30 Project scope presentations on topics 17:30-18:00 Networking and drinks Date: Monday 20 May 2019 Time: 15:00-18:00 Location: TBC, but probably at the Vrije Universiteit van Amsterdam Registration is free, but please RSVP through the meetup page. The event will be in English and is open to all. Contacts for Information Giulia Donker (ADS) [masked] Gianluigi Bardelloni (KPN) [masked]

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  • ADS Drinks & Data: Information Security and the role of Data Science

    ADS Drinks & Data: Information Security and the role of Data Science In the past decade, there has been an explosion in our data interactions with the world around us. Individuals and organizations are struggling to keep up with the revolutionary amount of data available and determining the value it holds. Organizations are recognizing the dire need to ride the data science roller coaster and the security paradigm that needs to re-invent itself. Only then will they keep up with all the possibilities these interactions will bring. But how secure are our interactions with this enormous amount of data? Join Amsterdam Data Science, APG, ABN AMRO and VU Amsterdam for this meetup as we discuss information security from the lenses of financial organizations. Keynote Speakers: Marcel Prins (COO, APG Asset Management), Dr. Martijn Dekker (CISO, ABN AMRO Bank), Herbert Bos (Head of VUSec Systems Security, VU) Date: Monday 15 April Time: 15:00-17:00 Location: Amsterdam Symphony Auditorium, Gustav Mahlerplein 3, 1082 MS

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  • ADS Drinks & Data: Data Science and Behavioural Studies

    Amsterdam Business School

    In this ADS Drinks & Data we will highlight cutting-edge research with a focus on Data Science and Behavioural Studies. There will be an opportunity for audience participation and interaction to discuss the key challenges within this domain. There will also be a chance to network after over drinks & bites! How does information spread? How do images impact consumers' decision-making processes? How can we use data science to measure people's behaviours? These are some of the questions that will be presented at our next ADS Drinks & Data Meetup. Join ADS and the University of Amsterdam to hear talks from: • Han van der Maas, Professor and Head of Psychological Methods • Theo Offerman, Professor of Behavioral Game Theory • Willemijn van Dolen, Professor of Marketing • Ilja Sligte, Assistant Professor of Cognitive Neuroscience • Anna Keuchenius, PhD Candidate, Political Sociology: Power, Place and Difference • Javier Garcia Bernardo, PhD Candidate, Political Economy and Transnational Governance Date: Monday 8th April Time: 16:00-18:30 Location: Amsterdam Business School, M3.02, Plantage Muidergracht 12, Amsterdam *** Registration is free but please do so in advance through Meet-up 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.

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  • Data Science for Social Good

    De Bruyn Kopsstraat 9

    Qualogy and Amsterdam Data Science would like to invite you to the first ‘Data Science for Social Good’ event. Let’s explore how data science can be used to make the world a better place. Gemeente Rotterdam, the Neurodiversity Foundation and DSW will join us to showcase their work on machine learning, data science and big data with a social impact. *** Why participate? Get inspired! and contribute during the roundtable discussions to leverage a positive use of data science for our society. Share knowledge, create awareness and inspire others. *** Participants Eric Becker and Sjoerd Braaksma from Gemeente Rotterdam: Rotterdam smart traffic models increase the safety of its citizens. Tjerk Feitsma and Omotola Bolarin from the Neurodiversity Foundation: Mini.AI: a neurodiverse translator built for an inclusive society. Joël Koppe and Lisa Doove from DSW: Going beyond fraud detection: how to change behaviour for the best using data science. *** Agenda: 14:00 – 14:10 Welcome 14:10 – 16:10 Inspiring talks 16:10 – 16:20 Break 16:20 – 17:00 Roundtable discussions 17:00 – 17:20 Conclusion pitches 17:20 – 18:00 Drinks ADS and Qualogy want to help people and companies get excited and in action about the tech of tomorrow. This event is hosted by Qualogy. Date: Wednesday 27 March 2019 Time: 14:00 to 18:30 Location: De Bruyn Kopsstraat 9, 2288EC Rijswijk

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  • Data Science Career Fair Amsterdam

    VU University Amsterdam/Vrije Universiteit Amsterdam

    Registration via this link: https://goo.gl/forms/cpdDOiJVm7Iz2Vpt1 Amsterdam Data Science and the Big Data Alliance are pleased to announce that registration is now open for the second edition of the Data Science Career Fair in Amsterdam. The career fair will take place on Monday March 11 from 15:00-19:30 at VU University Amsterdam. For whom? We kindly invite all Master & PhD students keen to follow a Technical, Data Science or AI career with a tech background (e.g. AI, Data Science, Econometrics, Business analytics, Computer Science, Informatics, Information Systems, Software Engineering etc.) to participate in this career fair. Introducing… We are pleased to introduce the following companies (confirmed): Anchormen, Accenture, Aegon, APG, Bol.com, Bookarang, Booking.com, Checkdata, Chipsoft, CTcue, Dutch Analytics, Elsevier, GoDataDriven, KPN, ORTEC, Peace TechLab, PostNL, Qualogy, Sobolt, Tapp, TMC Data Science, Tiqets, Triple A Risk Finance , Valid, Whayle, ViriCiti, VodafoneZiggo. We are still welcoming new companies! Objective The objective of this Data Science Career Fair is to offer students the opportunity to connect with companies looking for employees and summer interns in data science (related) positions. Find out your career options, about internships and jobs through: Workshops and cases by leading Data Science organisations, Speed-dating sessions with your pre-selected organisations of choice, Inspire sessions on starting your own business, an academic career, working at a governmental organisation, working in industry, Followed by networking over free drinks and pizza. Registration and information Participation is free of charge. Please register via this link: https://goo.gl/forms/gGR1gPoDlBG1mxpC3 Registration deadline: 8 February 2019. Once we received your registration you will be asked to answer some additional questions and to submit your preferences. Please do not hesitate to contact us, if you have any questions. Please send an e-mail to [masked] .

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  • ADS Festive Drinks & Data: 2018 Highlights & Looking Forward to 2019

    ADS Drinks & Data: 2018 Highlights & Looking Forward to 2019 Amsterdam Data Science (http://amsterdamdatascience.nl) would like to invite you to our Festive Drinks & Data afternoon on Thursday 06 December at 15:00 where we will celebrate our 2018 highlights and share our plans for 2019. After we will have drinks & delicious snacks. Date: Thursday 06 December 2018 Time: 15:00-18:00 Location: Amsterdam Science Park Congress Center - Turing & Newton Rooms (next to CWI, Amsterdam Science Park 123) 15:00-15:30 Coffee & posters from the Amsterdam Academic Alliance (AAA) Data Science projects in the Newton Room - Peter Bloem (VU) - Davide Ceolin (CWI) - Evangelos Kanoulas & Bob van de Velde (UvA) - Benno Kruit (CWI): "Information Extraction from Tables for Knowledge Base Augmentation" - Chantal van Son (VU): "The Vaccination Debate: An Exploration of Long Term Concept and Perspective Mining" (Serge ter Braake, Chantal van Son, Davide Ceolin, Julia Noordegraaf, Inger Leemans, Piek Vossen, Lora Aroyo, Rens Bod) 15:40-15:45 Lynda Hardman, ADS Director (CWI) Introduction and opening 15:45-16:55 ADS 2018 Highlights & Looking Forward to[masked]-minute madness presentations followed by 1-minute question time on: Data Science & Artificial Intelligence Highlights and Plans in: Research, Education, Entrepreneurship & Network Outreach 2018 Highlights: - Emma Beauxis-Aussalet (AUAS, CWI): "Classification Errors for End-Users" - Mark Siebert (Elsevier): "Science Knowledge Graph & the AI Report" - Marco Virgolin (CWI): "Explainable, Evolutionary Machine Learning for Highly Individualized Radiation Dose Reconstruction" - Emma Beauxis-Aussalet (AUAS): "Digital Society School, Where Change Takes Shape" - Nanda Piersma (AUAS, CWI): "Data Studio" - Ana Maldonado (Qualogy): "Hackathons and Collaborations" - Liza Kolesnichenko (ACE): "Amsterdam Center for Entrepreneurship in 2018" Looking forward to 2019: - Koen Hindriks (VU): "Social Robots" - Julien Rossi (UvA): "Data Driven Legal Entailment" - Maarten Sukel (Gemeente Amsterdam, UvA): "Classification Methods for Urban Service Requests" - Paul Groth (UvA): "Data Engineering" - Herbert Bos (VU): "Amsterdam Cyber Security Center" - Esther Smit (UvA): "Amsterdam Data Exchange" 16:55-17:00 Lynda Hardman, ADS Director (CWI) Next Steps for ADS, 2019 & Beyond 17:00-18:00 Posters & Networking over Festive Drinks & Snacks in the Newton Room - Peter Bloem (VU) - Davide Ceolin (CWI) - Evangelos Kanoulas & Bob van de Velde (UvA) - Benno Kruit (CWI) - Chantal van Son (VU) Registration is free but please RSVP on our Meetup page: https://www.meetup.com/Amsterdam-Data-Science/events/255294331/ The event will be in English. **

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  • ACE, ADS & QUALOGY HACKATHON: Win a holiday!!

    ACE Startup Village

    Fancy a FREE trip to your favourite European destination? Then join us on 12-13 October! Working in small teams you will use Data Science to solve an innovative problem & at the same time create a societal impact! At the Qchallenge Hackathon you will help the Neurodiversity Foundation (http://neurodiversiteitnl.john.managedomain.nl) to find the best ways to remove the communicative barriers between neurodiverse (i.e. Autism, Aspergers and people in the spectrum) and neurotypical individuals. You will achieve this using Data Science & Machine Learning to mine IoT sensor data and find useful patterns. You will work on the data in teams of 4 or 5 people, you can either come as a team or we can make a team for you. Interested? All students are welcome, you just need an interest in Data Science, Machine Learning, Open Source, & cool tools like Python, R and Hadoop. Register NOW! https://www.qualogy.com/discover-qualogy/qchallenge-students ** Date: Friday 12 October (starts 10AM) - Saturday 13 October (ends 5:30PM) You can also stay over in true hackathon style if you wish! Location: Startup Village, Science Park Amsterdam Format: Work in teams of 4 to 5 people on the challenge. You can come as your own team, or we can help you find a team to work with. Food: Your meals will be included at the hackathon (sandwich lunches and pizza dinners, plus beers on the Saturday!). Entertainment: Free massages, a fun corner & tech coaching, amongst other activities.

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  • ADS Drinks & Data: Deep Dive into Reinforcement Learning

    Amsterdam Science Park 904

    ADS Drinks & Data: Deep Dive into Reinforcement Learning Date: Tuesday 25 September 2018 Time: 16:00-18:00 Location: Room C1.110 (1st floor), Science Park 904, UvA Registration: https://www.meetup.com/Amsterdam-Data-Science/ The ADS Deep Dive sessions are an opportunity to delve into a data science topic in more depth, specifically on Tuesday 25 September we will highlight cutting-edge research on Reinforcement Learning. We will have two speakers, each presenting for 25 minutes plus five minutes discussion time. Programme 16:00-16:15 - Coffee & walk-in 16:15 Introduction & Chair Zeynep Akata Assistant Professor (UvA) and Scientific Manager of UvA-Bosch Delta Lab https://ivi.fnwi.uva.nl/uvaboschdeltalab/people/zeynep-akata/ 16:15-16:45 Herke van Hoof Assistant Professor, Amsterdam Machine Learning Lab (UvA) https://staff.fnwi.uva.nl/h.c.vanhoof/homepage/ "Learning modular strategies with hierarchical reinforcement learning" Recent years have seen impressive results in learning optimal behaviour in complex systems, for example in the domain of games (Go and Atari) and simulated robots (Mujoco & OpenAI Gym). Many of these results were reached by deep reinforcement learning methods, where deep neural networks are used to model objects of interests. The flexibility of these networks comes at the cost of needing large amount of training data. However, in many systems, gathering many samples is impracticable. This includes many real-world robotics tasks, as well as systems with humans in the loop. One possible solution to this problem takes the form of learning modular policies, where individual modules can be transferred to related tasks. I will discuss our new approach for hierarchical reinforcement learning that can efficiently learn complex modular policies from experience. 16:45-17:15 Sander Bohte Researcher Neural Computation (CWI)Professor of Computational Neuroscience (UvA) and Professor of AI at Rijksuniversiteit Groningen https://homepages.cwi.nl/~sbohte/ "Efficient Continuous-time Reinforcement Learning" As the brain seems to use on-policy reinforcement learning, and most interesting cognitive tasks require some form of memory while taking place in continuous-time, recent work has developed plausible reinforcement learning schemes that are compatible with these requirements. I present this work, and the implementation of such RL based on spiking neurons. This formulation expresses such learning in terms of asynchronous and efficient sparse neural computation. 17:15-18:00: Drinks, snack & networking *** The event will be in English. It is free to attend but please register in advance. *** 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. *** Find out more about ADS at http://amsterdamdatascience.nl

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  • Smart Cities & Smart Health in Amsterdam & Beijing

    Title: Amsterdam Data Science Meetup on Smart Cities & Smart Health in Amsterdam & Beijing Date: Thursday 20 September 2018 Location: Agora 1, VU Main Building Times:[masked] Registration: https://www.meetup.com/Amsterdam-Data-Science/events/254612194/ Overview: Amsterdam Data Science researchers have an active collaboration with Beijing University of Technology on a number of specific themes including smart cities and smart health. As part of this active collaboration, on Thursday 20 September we welcome experts from Beijing to present their research to the ADS Meetup community and to discuss future collaborations and ideas. Note: The event is free to attend and will be in English. It is also fine if you would like to join for part of the event only. 09:45 Coffee, snack and walk-in Chair: Zhisheng Huang, VU 10:00-10:05 Welcome by Frans Snijders, Director of VU International Office 10:05-10:30 "Data Science in Service of City Liveability" Stevan Rudinac, UvA 10:30-10:55 Safia Akkus, Amsterdam Municipality 10:55-11:20 "Key Technologies and Integrated Application of Green Smart Village" Shaofu Lin, Director of Beijing Institute of Smart City 10 minute coffee break 11:30-11:55 "AI for Smart Health" Mark Hoogendoorn, VU 11:55-12:20 "Spatial Economics on Amsterdam North-South Line" Jan Rouwendal, VU 12:20-13:00 Networking over lunch 13:00-13:25 "Optimization of Bus Lines and Network Based on Perception of Individual Trip Characteristics" Jiancheng Weng, Beijing University of Technology 13:25-13:50 "Use of Spatially Explicit Information in the Analysis of Urban Development and Travel Behavior" Eric Koomen, VU 13:50-14:15 "Knowledge Graphs for eGovernment & Smart Cities" Wouter Beek, VU & Triply Abstract: Recent years have seen an increase in the use of Knowledge Graphs worldwide: Google and Reuters, Siri and Alexa, Elsevier and Airbnb are all using Knowledge Graphs. In this presentation we will take a look at recent uses of Knowledge Graphs by the Dutch government. The Dutch Cadastre agency now publishes the base registries for house and land ownership as a Knowledge Graph. The Dutch Bureau of Statistics publishes statistical information about cities and neighborhoods as a knowledge graph. And also the Chamber of Commerce, the Royal Cultural Heritage organization, and the Organization for Entrepreneurs all publish their data as knowledge graphs. We will explain this recent surge in Knowledge Graph use and will highlight the benefits of the use of Knowledge Graphs for eGovernment and Smart Cities. 10 minute coffee break 14:25-14:50 "Vectorial Dimension Reduction for Tensors Based on Bayesian Inference in Smart Health" Fujiao Ju, Beijing University of Technology 14:50-15:15 "Big Data on Amsterdam North-South Line" Elenna Dugundji, CWI 15:15-15:20 Further questions and wrap-up 15:20-16:00 Drinks and snacks **

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