DataHealth | Transhumanism: The Next Step in Human Disease Detection

Gabriela Márquez
Aug 9, 2017 · 3 min read

As government decision-making is increasingly relying on data analysis, issues such as access, exchange and transparency have also become crucial. Thus, the potential social benefits of applying computational sciences in the design of public policy depends on the ability to collect, share, and analyze massive amounts of different types of data. In this sense, to cooperate on the global spectrum it is essential to develop human capital capable of glimpsing the social problems, both from the point of view of public policy design and that of computational science. To implement this successfully, it is necessary to design information capturing platforms that encourage key stakeholders to recover information quickly and efficiently.

As a graduate of the Center for Economic Research and Teaching (CIDE), one of the Top Think Tanks in Mexico, I developed a genuine interest in applying mathematical methods to understanding the dynamic complexity of socioeconomic phenomena.​ I’ve applied statistical models to analyze structured databases in the health sector. However, some epidemiological, genomic, and geostatistical factors are not usually taken into account since they are not presented in a structured way. It is expected that, by 2017, data from the health sector will increase 99%, from which 88% will be equivalent to unstructured data. By visualizing these limitations, I began to expand my coding knowledge for the analysis of unstructured data.

Given this context and progress in computer science, I am confident that we can improve, complement, and expand social analysis to achieve Sustainable Development Goals. It is essential to develop human capital capable of understanding the social problems, both from the point of view of the design of public policies and computer sciences.

I’m particular interested in Health and Urban Sustainability. There’s a lack of health information, specially for people who live in rural areas. Without greater transparency of health information, authorities continue to struggle to manage health and public policy makers to continue designing their policies without a robust a statistical approach. We should find a way to incentivize physicians and healthcare workers to capture data in an efficient and quick way. I would like to work on a mobile app that tracks clinical data in real time and that turns this data into elegant data viz that everyone could actually understand.

In 2016 I decided to get a RFID chip implanted in my hand. I’m working on a pilot to create a startup called H+. The startup has two components: RFID Human Implants and its link to a Mobile App. The company’s goal is to replace the use of NFC cards with the human RFID implant. The above, by means of the implantation of chips previously programmed to be used as replacement of any NFC card of daily use such as public transport, health information, gyms, access to houses, hotels, concerts, work areas, among others. The centralization of information will allow a more accurate glimpse of the urban mobilization of the cities, which will allow a better design of bicycle traffic routes, access to services and public transportation.

After a significant period in the workforce, I feel prepared to meet the high demands and requirements of the UNLEASH Innovation Lab. Also, being part of this laboratory will help me bring my socio-economic perspective to identify social problems that can be versed with tools such as big data and machine learning, as well as AI that contributes to the design of more precise and lasting public policies and programs. I am aware that to successfully implement this type of analysis it is necessary to merge data comprehension, resolution, and quantitative mental structure skills into a multidisciplinary team. Also, this experience will allow me to learn from other young minds who, like me, are interested in using and disseminating data science as a tool to minimize the uncertainty between correlation and causality and, thus, have a robust approach which provides greater solidity to the design of public policy.

UNLEASH Lab

Global innovation lab creating disruptive solutions for the UN's SDGs

Gabriela Márquez

Written by

UNLEASH Lab

Global innovation lab creating disruptive solutions for the UN's SDGs

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