Canada needs to address inequities in who has access to the power and promise of data science and advanced analytics, including by supporting training for grassroots, charitable and community organizations to collect, access and manage data, Kelly Nolan, an external affairs and equity, diversity and inclusion expert based in Ottawa, says in an op-ed.
Topic: big data
Opinion: Canada’s service sectors are poised for a tectonic shift
Canada needs to be prepared for the “tectonic shift” of intangibles powering new ways of delivering services that contribute more than three-quarters of Canada’s GDP, Bert van den Berg writes in an op-ed.
The Short Report, March 4, 2019: Kirsty Duncan moves for a standing committee on science and research; Alberta cuts post-secondary education funding; Canadian miners make an action plan
The Short Report: New Parliamentary standing committee proposed for science and research; new Protein Industries Supercluster projects; Alberta cuts post-secondary education funding while Ontario increases it; boosting competitiveness of Canada’s mining sector; creating research internships for students; Canadian science for the Moon; developing small nuclear reactor technology; and more.
Canada’s digital transition depends on new data value chains and standards, says expert
New data value chains and foundational standards are needed if Canada wants to transform into a digital economy: policy brief.
Digital advocacy non-profits join forces to address barriers to scaling for Canadian tech companies
The CIO Strategy Council (CIOSC) and the Information Technology Association of Canada (ITAC) have partnered to work on issues like the need for standardization and better practices for data governance in the Canadian tech sector.
Newly opened Canadian Statistical Sciences Institute (CANSSI) will foster multi-sector collaborations
Vancouver’s new Canadian Statistical Sciences Institute (CANSSI) opened its doors officially on Friday, December 7.
Research Money ≠ Research Effort
Expenditure-based measures have been the most successful and best used indicator of innovation to date because the data can be collected with minimal effort and maximum accuracy (not perfect) and interpreted without huge complexities.