Relaying the following communication from Dimitris Bertsimas (MIT) & Dick den Hertog (Tilburg University)
COVID-19 is one of the big challenges our society is facing nowadays, and there are many more. We believe that Analytics can be of much value to improve our world. It is encouraging to see that more and more (especially young) Analytics researchers are enthusiastic to use Analytics to make this world a better place. Analytics has, e.g., already contributed significantly to the Sustainable Development Goals of the United Nations.
To make these contributions of Analytics for a Better World more visible, and to stimulate research in this area, we have started a new initiative: “Analytics for a Better World Webinars (ABW-W)”. Every month we will organize one webinar (most probably via Zoom) on a high societal impact Analytics project. The focus of the webinars is not on theoretical innovation, but on impact. These webinars will be recorded, and the videos can be used in your Analytics courses.
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.
Specifically, he will discuss
1) a new epidemiological model of the evolution of COVID-19, detailed in https://github.com/COVIDAnalytics/DELPHI
2) a new machine learning model (based on optimal classification trees) for predicting mortality using data from an Italian hospital from Cremona Italy detailed in http://www.covidanalytics.io/risk_calculator. Depending on progress he will discuss how to prioritize patients to use ICUs to save more lives.
3) a new optimization model for allocating ventilators among states in the US detailed in http://www.covidanalytics.io/ventilator_allocation
4) a data generation process from 130+ papers written in March 2020 regarding COVID-19 detailed in http://www.covidanalytics.io/dataset and insights gleaned from it http://www.covidanalytics.io/interactive-graph
The emphasis of this work has been rapid prototyping and implementation. This talk also represents an invitation to researchers around the world to contribute with ideas and analyses of their own in a collaborative spirit with the objective to address this pandemic using analytics.
The precise date and especially the time, depends on the geographical locations of the participants, and will be determined later.
If you are interested in participating in ABW-W, please write an e-mail to Dick den Hertog (D.denHertog@tilburguniversity.edu).
Please, feel free to forward this e-mail to others who might be interested in this new initiative.
Dimitris Bertsimas (MIT, Cambridge, US)
Dick den Hertog (Tilburg University, Tilburg, The Netherlands)