Data Science
While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.
Hackathons and action groups: how tech is responding to the COVID-19 pandemic
The global COVID-19 pandemic has generated a wide variety of responses from citizens, governments, charities, organizations, and the startup community worldwide. At the time of writing, the number of confirmed cases has now exceeded 1,000,000, affecting 204 countries and territories. From mandated lockdowns to applauding health workers from balconies, a
#HackCorona 2.0: Open-source hardware, telehealth & pandemic forecasts
According to WHO, it took more than 3 months to reach the first 100,000 confirmed cases of coronavirus worldwide, but only 12 days to reach 200,000, 4 days to reach 300,000, 3 days to reach 400,000 and another 5 to reach 700,000. China’s cases rocketed in the early weeks of
How Coronavirus can make open-source movements flourish and fix our healthcare systems
Five experts went live with educational sessions at our community site DN Club and told us about technology in times of coronavirus. Where are we heading in the crisis and how can the tech community contribute to finding solutions? Even though we are moving towards difficult times, there might be
Key Challenges That Healthcare AI Needs to Overcome in 2020
The promise of artificial intelligence (AI) is finally being realized across a wide variety of industries. AI is now viewed as a crucial technology to adopt for enterprises to thrive in today’s business environment. Healthcare, in particular, has been one of the industries that AI advocates expect to be revolutionized
How to advance in your data science career – AMA with Elena Poughia
On March 18th at 6 PM CET, Elena Poughia, Data Natives’ CEO and curator shared her tips on how advance in your data science career during a live Ask Me Anything Session available via DN Club. Here is the recap of the AMA session with selected Q&As. In January we
HackCorona: 300 participants, 41 nationalities, 23 solutions to fight COVID-19 outbreak
In just one day, the HackCorona initiative gathered over 1700 people and 300 selected hackers came up with 23 digital solutions to help the world fight the COVID-19 outbreak during the 48-hour long virtual hackathon by Data Natives and Hacking Health. Here are the results. HackCorona was created on March 17th
How dangerous news spreads: What makes Twitter users retweet risk-related information
Scientists uncover how information related to potential dangers can spread on social media and how this can be prevented. In Japan, a country prone to various natural and man-made calamities, users often turn to social media to spread information about risks and warnings. However, to avoid spreading rumors, it is
Calling the global data science community to #HACKCORONA
COVID-19 is still spreading exponentially throughout the world. Some people who get it require hospitalization for respiratory failure for multiple weeks. The hardship falls on elderly people, medical personnel as well as the healthcare system in general. Identifying the main pain points in the current health crisis situation, Data Natives
The coronavirus shows us how tech companies can do more against fake news
On March 19th at 6PM CET, we are going live with an educational session on “How can Data Science help in the times of a pandemic”. In particular, how can data science help manage facts vs fiction in the current situation? Will the public listen to scientific advice and implement
Why Data Scientists Must Be Able to Explain Their Algorithms
The models you create have real-world applications that affect how your colleagues do their jobs. That means they need to understand what you’ve created, how it works, and what its limitations are. They can’t do any of these things if it’s all one big mystery they don’t understand. “I’m afraid
