, Sustainable Energy, Grids and Networks, Volume 28, December 2021
By the year 2019, the number of people without access to electricity was 770 million, most of which lived in rural areas. The currently models for rural electrification are often limited in their electrical analysis, or focus on a idealistic optimal solution whilst ignoring the real hierarchical topology of power systems. This work proposes a rural electrification strategy that makes use of Geographic Information System (GIS), graph theory and terrain analysis to create the best electric network topology.
, The Lancet, Volume 398, 6 November 2021
This Comment supports SDGs 3 and 10 by highlighting the role of data scientists in challenging racism and discrimination. The Comment highlights how structural inequalities in society are easily encoded in datasets and in the application of data science, which can reinforce existing injustices.
, Practical Radiation Oncology, Volume 9, September - October 2019
Purpose: Although the wind, rain, and flooding of Hurricane Maria in Puerto Rico abated shortly after its landfall on September 20, 2017, the disruption of the electrical, communications, transportation, and medical infrastructure of the island was unprecedented in scope and caused lasting harm for many months afterward. A compilation of recommendations from radiation oncologists who were in Puerto Rico during the disaster, and from a panel of American Society for Radiation Oncology (ASTRO) cancer experts was created.
, The Lancet, Volume 393, 9 - 15 February 2019
, Social Science and Medicine, Volume 211, August 2018
Objective: Although the benefits of vaccines are widely recognized by medical experts, public opinion about vaccination policies is mixed. We analyze public opinion about vaccination policies to assess whether Dunning-Kruger effects can help to explain anti-vaccination policy attitudes. Rationale: People low in autism awareness – that is, the knowledge of basic facts and dismissal of misinformation about autism – should be the most likely to think that they are better informed than medical experts about the causes of autism (a Dunning-Kruger effect).