Governments, industrial and development companies and scientists need to take a leading role in finding strategic solutions to the cumulative threats impacting our freshwater ecosystems.
A lack of data prevents governments and agri-food organizations from knowing what kinds of supports should be provided to reinvigorate Indigenous agricultural economies.
In the pursuit of efficiency, governments turn to technological solutions, like automated decision-making systems. But these systems are often problematic.
Digital twins could be used in the future to predict and influence our behaviour, but this raises concerns about who owns our data and how we can access and control it.
Kelly Bronson, L’Université d’Ottawa/University of Ottawa
Big data from social media have been revealed as biased, but we should also pay attention to agriculture firms whose play for big data is likely to have detrimental environmental and social impacts.
Starting in 2023, all research proposals funded by the NIH will need to include a data sharing and management plan. An expert on open science explains the requirements and how they might improve science.
Climate models can’t see tornadoes, but they can recognize the conditions for tornadoes to form. An atmospheric scientist explains what that means for forecasting future risks.
Honorary Enterprise Professor, School of Population and Global Health, and Department of General Practice and Primary Care, The University of Melbourne
Former postdoctoral researcher on machine learning applied to chemical engineering and currently science communicator for the National Museum of Emerging Science and Innovation (Miraikan), University of Tokyo