This website uses JavaScript

Unfortunately javascript doesn't seem to be enabled so your experience on the website will be degraded

Science

The Science Advisory Group will remain committed to providing its expertise to support the global community in tackling climate change on the road to COP 25 in Santiago and beyond.
The upcoming United Nations Decade of Ocean Science for Sustainable Development (2021-30) must end data segregation and usher in a new era of automated access for all.
Australia has warned that 7,000 university research jobs are at risk this year, whereas science remains largely intact in Germany, which is committed to investing an additional €17 billion (US$ 18 billion) in science agencies through to 2030, at a steady 3% increase in budgets annually.
With the increased prevalence of U.S. states including computer science as a required subject in K-8 education, in the next decade, nearly every child in the U.S. will be taking CS classes.
Through 2022, the application of graph processing and graph databases will grow at 100% annually to accelerate data preparation and integration, and enable more adaptive data science.
By 2037, artificial intelligence will create more than 7 million new jobs in the healthcare, education, and science fields in the UK.
Step change in R&D investment - The UK government will increase investment in science, innovation and technology to £22 billion by 2024-25.
Technical expertise remains critical and in short supply-65 percent of global CIO survey participants say analytics and data science will be the hardest-to-find technical skills in the next five years while 54% named cyber and 49% named emerging technologies.
In response, the best estimates of science today predict that annual global emissions from human activities must be reduced rapidly and should be eliminated by 2050 - in thirty years' time.
Artificial intelligence and machine learning will be the biggest technology trend in 2020, helping to transform almost every part of the life science and healthcare sectors.
In 2020, Data Science roles will expand to include machine learning and big data technology skills - especially given the rapid adoption of cloud and IoT technologies across global businesses.
The use of graph processing and graph databases will develop at 100% yearly through 2022 to constantly quicken data preparation and empower increasingly intricate and adaptive data science.
By the end of 2020, over 40% of data science tasks will be automated, which will not only result in higher productivity but necessitates an increase in citizen data scientists.
By 2020, due in large part to the automation of data science tasks, citizen data scientists will surpass data scientists in the amount of advanced analysis produced.
By 2023, AI and deep learning techniques will be the most common approaches for new applications of data science.
Encouraging more female, minority, and disenfranchised populations to consider studying science, technology, engineering, and mathematics (STEM) will be essential in the next five years.
Yhe application of graph processing and graph databases will grow at 100% annually over the next few years to accelerate data preparation and enable more complex and adaptive data science.
Additive manufacturing in Asia Pacific is expected to flourish in the coming years with Singapore contributing a significant share to the overall growth.
Following a separate £4 million government investment earlier this year, content creators Factory 42 will produce 2 multi-sensory, interactive worlds in London's Natural History Museum and Science Museum to open in 2020.
Gartner predicts, The application of graph processing and graph DBMSs will grow at 100 percent annually through 2022 to continuously accelerate data preparation and enable more complex and adaptive data science.
Women and girls continue to be underrepresented in science, technology, engineering and mathematics and are more vulnerable to being left behind by innovation.
Rising stainless steel output is driving nickel usage: Nickel demand is expected to rise steadily over the outlook period, growing from 2.3 million tonnes in 2018 to 2.8 million tonnes by 2024.
Gartner predicts that, by 2024, a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.

See full forecast

Last updated: 06 July 2020