Activities and services

Activities and services

Agenda

Analytics for a Better World – Launch Conference
Bringing together our key partners
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We are organising a launching conference to bring together our key partners, researchers and (potential) sponsors. Our aim is to inspire each other, share ABW’s vision and plans and explore opportunities for collaboration.
Research meetup 9 – Saving lives by efficient use of emergency medical response vehicles
Karen Aardal, Delft University of Technology
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In this seminar we will review emergency medical response vehicle location models and dispatch algorithms with a focus on ambulances on wheels and helicopters.
Research meetup 8 – Space technology for social and environmental impact
Lisa Broekhuizen and Elke Sauter (Space4Good, Den Haag, The Netherlands)
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This session explores the use of remote sensing, geospatial analysis and artificial intelligence to provide novel geospatial insights for increased operational efficiency and data-driven transparency.
Research meetup 7 – Redesigning Sample Transportation in Malawi Through Improved Data Sharing and Daily Route Optimization
Emma Gibson (MIT, Cambridge, USA)
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Centralized diagnostic networks play a critical role in the delivery of essential healthcare services in resource-limited settings. We propose a two-part system that uses a low-cost, feature phone data sharing platform to monitor sample volumes at healthcare facilities, and an optimized sample transportation model to generate efficient routes for ST couriers on a daily basis. Since implementation, the proportion of unnecessary courier trips has been reduced by 55% and average ST delays have been shortened by an estimated 25%.
Research meetup 6 – Analytics for the Design of Gravity-Driven Water Distribution Systems for Poor Rural Communities: the NeatWork Tool
Jean-Philippe Vial (Geneva, Switzerland)
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NeatWork is an optimization and simulation tool for the design of water-distribution systems with the aim of providing clean water to poor rural communities.
Research meetup 5 – Analytics-Enabled Health System Innovation
Retsef Levi (MIT, Cambridge, MA, USA)
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This talk describes the implementation of data- and analytics-driven innovation in health systems. In particular, it is focused on innovation around operations, system design, and optimization of large delivery systems.
Research meetup 4 – Analytics to improve mobility for elderly and disabled citizen
Frans de Ruiter (CQM, Eindhoven, The Netherlands)
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In this webinar, we highlight the benefits of analytics in assisted door-to-door travel on long distances for elderly and disabled people.
Research meetup 3 – Analytics in the fight against cancer – the radiation therapy example
Thomas Bortfeld (Harvard Medical School / Massachusetts General Hospital, Boston, USA) & Jennifer Pursley (Harvard Medical School / Massachusetts General Hospital, Boston, USA)
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In this lecture we will discuss analytics contributions to address the main challenges in cancer diagnosis and treatment: 1. Localizing the tumor, 2. hitting the tumor but not the surrounding healthy organs-at-risk (OAR), and 3. individualizing the treatment approach and “optimal stopping”. We will focus on radiation therapy, one the main pillars of cancer treatment and arguably the most quantitative cancer specialty.
Research meetup 2 – Dear mathematician: why are you here? We need to move tonnages and help hungry people
Koen Peters (Head of Development for Supply Chain Planning at WFP and PhD at Zero Hunger Lab) & Hein Fleuren (Professor in applying Business Analytics at Tilburg University and director Zero Hunger Lab)
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In this webinar we will highlight Tilburg University’s (The Netherlands) work at the United Nations – World Food Programme (WFP) headquarters in Rome
Research meetup 1 – CovidAnalytics.io
Prof. Dimitris Bertsimas (MIT, Cambridge, MA, USA)
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The first speaker is Prof. Dimitris Bertsimas (MIT, Cambridge) who will present the ongoing  work of his group of 20+ PhD and Master students and colleagues at MIT (http://www.covidanalytics.io/team) on a variety of aspects of COVID-19 as detailed in  covidanalytics.io. The website contains many  downloadable models and data.
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