He calls it Science 2.0., and it combines the hypothesis based inquiry of laboratory science with the methods of social science research to understand and improve the use of new human networks made possible by today's digital connectivity. Through Science 2.0, the societal potential of such networks can be realized for applications ranging from homeland security to medical care to the environment.
Recently honored by the International Journal of Human-Computer Interaction for his leadership in bringing scientific methods to the study of human use of computers, Shneiderman points to the effect that the World Wide Web and cell phones have had on building human collaborations and influencing society.
"eBay, Amazon, Netflix have already reshaped consumer markets. Web-based political participation and citizen journalism are beginning to change civil society. Online patient-centered medical information has improved health care. MySpace and Facebook encourage casual social networks, but they may soon play more serious roles in emergency disaster response, for instance.
"It's time for researchers in science to take network collaboration like this to the next phase and reap the potential intellectual and societal payoffs. We need to understand the principles that are at work in these systems," said Shneiderman.
Francis Bacon vs. Science 2.0
Four hundred years ago, Francis Bacon promoted the research strategy that has ruled scientific quests ever since, what Shneiderman calls Science 1.0. As Shneiderman describes it, Science 1.0 is "reductionist thinking closely linked to controlled experiments," a method that, while successful in explaining natural phenomena "sometimes diverges from solving practical problems and only occasionally advancing broader goals."
"Science 2.0 is about studying design of rapidly changing socio-technical systems. These studies are not replicable in a lab," said Shneiderman. "You have to study social interactions in the real world. Traditional social scientists have tried to understand these systems by data collection, but more effective Science 2.0 research involves design interventions to rapidly improve e-commerce, online communities, healthcare delivery, and disaster response.
"Science 1.0 remains vital, but this ambitious vision of Science 2.0 will require a shift in priorities to combine computer science with social science sensitivity. It will affect research funding, educational practices and evaluation of research outcomes," Shneiderman says.