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To highlight uncertain norms in authorship, John P. A. Ioannidis, Richard Klavans and Kevin W. Boyack identified the most prolific scientists of recent years.
A worldwide monitoring and modelling network would reduce the dramatic toll of air pollution on health and food production, urge Rajesh Kumar and colleagues.
Ecologists must understand how marine life responds to changing local conditions, rather than to overall global temperature rise, say Amanda E. Bates and 16 colleagues.
Reserves of cobalt and nickel used in electric-vehicle cells will not meet future demand. Refocus research to find new electrodes based on common elements such as iron and silicon, urge Kostiantyn Turcheniuk and colleagues.
Genetic testing for dogs is big business. It is too easy for companies to sell false hope, warn Lisa Moses, Steve Niemi and Elinor Karlsson. They call for regulation.
Computer scientists must identify sources of bias, de-bias training data and develop artificial-intelligence algorithms that are robust to skews in the data, argue James Zou and Londa Schiebinger.
Fund and study these priorities for natural and social sciences to meet a gaping need, urge Abdallah S. Daar, Trillium Chang, Angela Salomon and Peter A. Singer.
A switch to projects led by independent principal investigators would build on the success of the nation’s centralized research agenda, urges Han Woong Yeom.
Systematic reviews have transformed medicine, but a more cost-effective means of appraisal is needed for fields in which data are sparse and patchy, argue William J. Sutherland and Claire F. R. Wordley.