Division of Information & Intelligent Systems
Digital Society and Technologies (DST)
|Ephraim P. Glinertemail@example.com||(703) 292-8930||1125 S|
Important Information for Proposers
ATTENTION: Proposers using the Collaborators and Other Affiliations template for more than 10 senior project personnel will encounter proposal print preview issues. Please see the Collaborators and Other Affiliations Information website for updated guidance.
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 18-1), is effective for proposals submitted, or due, on or after January 29, 2018. Please be advised that, depending on the specified due date, the guidelines contained in NSF 18-1 may apply to proposals submitted in response to this funding opportunity.
The future and well-being of the Nation depend on the effective integration of Information Technologies (IT) into its various enterprises and social fabric. Information Technologies are designed, used and have consequences in a number of social, economic, legal, ethical and cultural contexts. With the rise of unprecedented new technologies (e.g., smart homes, shop-bots, pedagogical agents, wearable computers, personal robots, multi-agent systems, sensors, grids, knowledge environments) and their increasing ubiquity in our social and economic lives, large-scale social, economic and scientific transformations are predicted. While these transformations are expected to be positive, such achievements are not automatic. Instead, there is general agreement among leading researchers that we have insufficient scientific understanding of the actual scope and trajectory of these socio-technical transformations. We have great difficulty predicting or even clearly assessing social and economic implications and we have limited understanding of the processes by which these transformations occur. Furthermore, we have barely begun to make the critical theoretical and empirical connections among 1) design principles for IT artifacts, 2) the ways in which IT artifacts become embedded in activities and used in various contexts, 3) their long-term outcomes and consequences, which are frequently unintended, and 4) finally, the ways in which learning about use and outcomes can feed back into new and better designs. To assure that transformations related to IT serve human needs and are productive for society over the long term, more focused and generalizable scientific studies and related education activities are necessary.