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Universities, research institutions, governments, and companies have taken significant steps to upgrade their use of data science to boost research and innovation in recent months. Some of these new projects aim to use data science to provide insights into possible causes of and solutions to the COVID-19 pandemic. Take a closer look at the value of big data and AI for uncovering critical insights.
Since the Coronavirus spread throughout Europe and the United States in March, many sectors have slowed down, and new projects have been suspended or halted altogether. But the opposite has happened in the field of academic data science. Universities are finding partners among companies, independent research organisations, and government institutions to expand the scope of data science projects, including:
Academic data science is seen by many as a possible solution to the challenges raised by the Coronavirus. Big data and AI technologies can be used to identify patterns in huge datasets from patients with COVID-19 and compare them to previous pandemics. A number of other recent projects reflect this potential:
Even before the pandemic struck, surveys showed that rising numbers of consumers, employees and investors want to buy from, work for and invest in organisations with a social purpose. But COVID-19 has added an extra urgency to the ethical expectations which organisations face. Those who have failed to meet these expectations—for example through poor treatment of staff or inadequate provision of medical equipment—have suffered reputational and financial damage. Investment in academic data science is a clear way for organisations to contribute to the fight against COVID-19, and in doing so ensure their own long-term sustainability as an organisation.
With flexible APIs and an ever-expanding data universe, Nexis® Data as a Service (DaaS) connects universities to news, business, legal and patents data well-suited to academic research needs, so you can: