While trends in journal articles and conference publications can help us examine trends in late stage R&D activities, examining counts in newspaper articles tied to AI and data science can be equally useful in discerning implementation of these tools and techniques in industries and businesses. The rationale behind these metrics Read more…
Building on the idea that workers using ML and data science tools are a good measure of commercialization and diffusion, we merged existing data on the number of people with the title “Data Scientist” on LinkedIn at discrete points in time from June 2017-April 2021 to give some indication on Read more…
While some papers in the past have utilized Google Trend data to capture interest in a topic or track the spread of disease, we use a close variant in our work based on data from Keywords Everywhere.8 This tool combines data from Google Trends with some of Google’s other database Read more…
Before reading, find part 1 of this trend here Given that these statistics include papers authored by researchers in any region, and COVID-19 had differential impacts on countries due to different experiences with lockdowns and infection rates, we further broke down the statistics by region using information on where each Read more…
While the aggregate patent statistics give some support to the hypothesisthat COVID-19 had a negative effect on late stage R&D across the board, given the fact that patent applications from the USPTO and CIPO do not make patent applications publicly searchable until months after their filing dates, we are unable Read more…
Data available from the United States Patent and Trademark Office (USPTO), and the Canadian Intellectual Property Office (CIPO) does indicate that there has been a decrease in the overall number of patents filed during the 2020 year. This figure displays the CIPO’s patent filings as reported by their monthly production Read more…
We complement our data from Compute Canada with available data from the Natural Sciences and Engineering Research Council of Canada (NSERC). Most Canadian Researchers working in the natural sciences and engineering maintain support for their ongoing research through an NSERC Discovery Grant (DG). In some cases, DGs are used as Read more…
Computer hardware requests for CPU and GPU resources. Many of the new advances in AI and ML require substantial hardwaresupport. Therefore, given the lack of direct measures of disruptionfor research in the area, we examine requests for data science related infrastructure as a proxy. Specifically, we collect data about the Read more…
This figure displays the time series for actual (2010 – 2019) and intended 2020 spending for the federal government’s support for the higher education sector’s natural sciences and engineering R&D. It confirms, along with announcements that the federal government increased funding for science and technology and R&D expenditures during the Read more…
The amount of R&D related to information and communication technology (ICT) and computer and electronic manufacturing in business enterprise in-house R&D has been growing over time as the economy has increasingly transitioned to a more digital economy. Together these two sectors now account for about 46% of total business enterprise Read more…