Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina

BELLOLI, LAOUEN; CASTRO, RODRIGO; FERNANDEZ, NATALIA BRENDA; GOLDSMIT, RODRIGO; LACIANA, PABLO; MAIDANA, RODRIGO; PECKER-MARCOSIG, EZEQUIEL; QUIROGA, RODRIGO; ZAPATERO, MARIANO; ARRAR, MEHRNOOSH; BOECHI, LEONARDO; ETCHENIQUE, ROBERTO; GARBERVETSKY, DIEGO; KAMIENKOWSKI, JUAN E.; LOZANO, MARIO; MINOLDO, SOL; PUERTA, ARMANDO EZEQUIEL; VALDORA, MARINA; BIANCO, ANA; DURÁN, GUILLERMO; FERRER, LUCIANA; GRILLO VIDAL, CAROLINA; LANZAROTTI, ESTEBAN; MENDILUCE, MAURICIO; PEPINO, LEONARDO; SOLOVEY, GUILLERMO

Science reviews - from the end of the world

Centro de Estudios sobre Ciencia, Desarrollo y Educación Superior

Lugar: Buenos Aires; Año: 2021 vol. 2 p. 6 - 40

2683-9288

With the arrival of the pandemic in Argentina in March 2020,a working group of scientists from two institutes belonging tothe Faculty of Exact and Natural Sciences of the University ofBuenos Aires and CONICET, together with colleagues fromdifferent academic institutions in the country, decided to put forthour experience and knowledge in data science and associateddisciplines, towards helping with decision-making in the contextof COVID-19. Data analysis within Argentina and other countries,scenario simulation, as well as rapid response projects- mainly inthe province of Buenos Aires- were all within the scope of our aim. This review article outlines some ofthe activities carried out by our team throughout these pandemic months.