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X-WR-CALDESC:Events for Erasmus Centre for Data Analytics
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DTSTART;TZID=Europe/Amsterdam:20220111T090000
DTEND;TZID=Europe/Amsterdam:20220113T170000
DTSTAMP:20260410T115124
CREATED:20220110T120352Z
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SUMMARY:Annual event of the Open & Agile Smart Cities (OASC) network\, bringing the community of members and partners together\, open for all to join
DESCRIPTION:Join us for three days of engaging workshops and sessions on solutions\, concerns and visions that cities have come across on their digital transformation journey. CxC Festival 2022 brings the OASC community and new friends together – in a hybrid event format in Brussels\, Belgium\, and wherever in the world you are. \n\n\n\nThe hottest topics in the digital transformation as seen from the ground\, from the cities and communities we all live in: data spaces\, local digital twins\, digital underpinnings of the green transformation\, safety\, security\, trust\, AI\, standards and\, of course: MIMs – Minimal Interoperability Mechanisms. \n\n\n\nYou can jump in and out of short\, focused sessions\, join the conversations in workshops and roundtables or simply reap the benefit of the learnings of your peers. All sessions are open for everyone. \n\n\n\nOur own Associate Executive Director\, Dr. Marcel van Oosterhout\, will be giving a presentation on “Monitoring and measuring the impact of digital transformation on societal priorities” on January 12 from 10:30 to 11:15.  \n\n\n\nCheck out the rest of the program at: https://oascities.org/wp-content/uploads/2022/01/CxC-22-Programme-1-1.pdf.
URL:https://ecda.eur.nl/en/event/annual-event-of-the-open-agile-smart-cities-oasc-network-bringing-the-community-of-members-and-partners-together-open-for-all-to-join/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220120T160000
DTEND;TZID=Europe/Amsterdam:20220120T170000
DTSTAMP:20260410T115124
CREATED:20220114T111116Z
LAST-MODIFIED:20220119T204400Z
UID:12552-1642694400-1642698000@ecda.eur.nl
SUMMARY:ECDA Insights Social Artificial Intelligence #1
DESCRIPTION:Learning Fair and Interpretable Rules Based on Linear Programming by Hakan Akyuz   \n\n\n\nThis talk being part of the Social Impact of AI expert practice makes an introduction to the concepts of interpretability and fairness in machine learning. We introduce two algorithms for interpretability and fairness based on using rule sets. Rules embody a set of if-then statements which include one or more conditions to classify a subset of samples in a dataset. In various applications\, such classification rules are considered interpretable by the decision-makers. Fairness is usually built upon interpretability and needs to be simultaneously integrated within it. Both algorithms take advantage of linear programming (LP)\, and hence\, they are scalable to large data sets.  \n\n\n\nThe first algorithm extracts rules for the interpretation of trained models that are based on tree/rule ensembles. The second algorithm generates a set of classification rules through a column generation approach. The proposed algorithms return a set of rules along with their optimal weights indicating the importance of each rule for classification. Fairness requires additional conditions to be imposed on the LPs and restricts the set of rules generated. This boils down to obtaining a fair subset of rules in the end.  \n\n\n\nOur algorithms allow assigning cost coefficients\, which could relate to different attributes of the rules\, such as rule lengths\, estimator weights\, number of false negatives\, discrimination ratio and so on. Thus\, the decision-makers can adjust these coefficients and constraints to divert the training process and obtain a set of rules that are more appealing for their needs. We have tested the performances of our algorithms on a collection of datasets.  \n\n\n\nOur results show that a good compromise between interpretability and accuracy can be obtained by the proposed algorithms. We have more promising outcomes for fairness compared to a state-of-the-art approach on average.
URL:https://ecda.eur.nl/en/event/ecda-insights-social-artificial-intelligence-learning-fair-and-interpretable-rules-based-on-linear-programming/
CATEGORIES:ECDA Insights
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ORGANIZER;CN="Erasmus Centre for Data Analytics":MAILTO:ecda@rsm.nl
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220121T120000
DTEND;TZID=Europe/Amsterdam:20220121T130000
DTSTAMP:20260410T115124
CREATED:20211110T212539Z
LAST-MODIFIED:20211110T212541Z
UID:12399-1642766400-1642770000@ecda.eur.nl
SUMMARY:Industry talk (via Zoom):  “The CCAF Crowdfunding Report: Development and Perspective”
DESCRIPTION:Rotem Shneor (Associate Professor of Management at University of Agder and Editor of The Global Alternative Finance Market Benchmarking Report). https://www.uia.no/en/kk/profil/rotems \n\n\n\nSubject: “The CCAF Crowdfunding Report: Development and Perspective”
URL:https://ecda.eur.nl/en/event/industry-talk-via-zoom-the-ccaf-crowdfunding-report-development-and-perspective/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220124T140000
DTEND;TZID=Europe/Amsterdam:20220124T150000
DTSTAMP:20260410T115124
CREATED:20211221T100118Z
LAST-MODIFIED:20220119T204519Z
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SUMMARY:TechDate: Dynata
DESCRIPTION:We would like to announce the second TechDate of the academic year partnering with Dynata! It will take place on January 24th from 14 to 15!  \n\n\n\nThe Future of Data Collection \n\n\n\nWith the increasing demand for data and competition from the gig-economy\, it is harder than ever to get the consumers attention. Where it gets harder and harder to expand the reach within traditional research panels\, we leverage different types of first-party data assets to increase feasibility and delivering a more diverse and representative sample to increase your data accuracy. We will share our point of view on how we can make data collection future proof and the innovative methodologies that already exist.   \n\n\n\nSample methodology: how can we still engage Gen Z and Gen Y for research and increase representativity?Data Solutions: how can we append different data sources to make survey data richer?Passive data:Metering: Our data encompasses millions of people globally with thousands of profile attributes collected directly from individuals. Combined with activities such as search terms\, app usage\, and website visits collected from a variety of devices – phones\, desktop\, and mobile – we provide data that gives you a 360-degree view of consumer and business professionals.Campaign effectiveness: ADimension® provides the capability to measure the performance of advertising campaigns across desktop\, tablet and mobile devices\, including in-app\, using key brand metrics so you can better understand consumer insights from an individual centric viewIn the moment measurement: Crowdlab helps to understand how people actually experience life\, products and services\n\n\n\nDynata: Dynata is one of the world’s largest first-party data platforms for insights\, activation & measurement; a partner for data-driven insights that power growth. We improve our clients’ business and market understanding by connecting them to the interests\, opinions and actions from the world’s largest community of real people to strengthen their market research and advertising activities.
URL:https://ecda.eur.nl/en/event/techdate-dynata/
LOCATION:online
CATEGORIES:TechDate
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