Vahram Muradyan
Illustrator
From this contributor
How will neuroscience training need to change in the future?
Training in computational neuroscience, data science and statistics will need to expand, say many of the scientists we surveyed. But that must be balanced with a more traditional grounding in the scientific method and critical thinking. Researchers noted that funding concerns will also affect training, especially for people from underrepresented groups.
How will neuroscience training need to change in the future?
What are the most-cited neuroscience papers from the past 30 years?
Highly cited papers reflect the surge in artificial-intelligence research in the field and other technical advances, plus prizewinning work on analgesics, the fusiform face area and ion channels.
What are the most-cited neuroscience papers from the past 30 years?
How will the field’s relationship to industry change over the next decade? Will a larger neurotechnology sector emerge?
Interactions between academic neuroscience and industry will grow, and the neurotech sector will expand, most survey respondents predict. The current funding upheaval in the United States may accelerate this trend as the field searches for new funding models.
How will the field’s relationship to industry change over the next decade? Will a larger neurotechnology sector emerge?
What are the fastest-growing areas in neuroscience?
Respondents pointed to computational neuroscience, systems neuroscience, neuroimmunology and neuroimaging, among other subfields.
What are the fastest-growing areas in neuroscience?
How have funding cuts affected early-career scientists’ futures?
Some say they feel terrified and anxious over all the uncertainty; many are thinking about leaving the United States, academia or science altogether; others plan to stay the course.
How have funding cuts affected early-career scientists’ futures?
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