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Thu, 24 Sep 2009 11:44:30 -0600
Nathan Eagle <[log in to unmask]>
Nathan Eagle <[log in to unmask]>
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
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AAAI Spring Symposium on Artificial Intelligence for Development (AI-D)

Call for Papers

There has been great interest in information and communication  
technology for development (ICT-D) over the last several years. The  
work is diverse and extends from information technologies that provide  
infrastructure for micropayments to techniques for monitoring and  
enhancing the cultivation of crops. While efforts in ICT-D have been  
interdisciplinary, ICT-D has largely overlooked opportunities for  
harnessing machine learning and reasoning to create new kinds of  
services, and to serve a role in analyses of data that may provide  
insights about socioeconomic development for disadvantaged  
populations. The unprecedented volume of data currently being  
generated in the developing world on human health, movement,  
communication, and financial transactions provides new opportunities  
for applying machine learning methods to development efforts, however.  
Our aim is to foster the creation of a subfield of ICT-D, which we  
refer to as artificial intelligence for development (AI-D), to harness  
these opportunities. To this end, we hope the AAAI Spring Symposium at  
Stanford will serve as a focal point to bring together a critical mass  
of researchers who are interested in applying AI research to  
development challenges.

The goals of the symposium will be to (1) identify a core set of AI-D  
researchers, (2) explore key topics and representative projects in  
this realm, and (3) to lay out an ontology of AI-D research challenges  
and opportunities. We are seeking original contributions in the form  
of both full papers and position papers on a wide range of related  
topics. For example, papers could address the potential for machine  
reasoning to make valuable off-line and real-time inferences from the  
large-scale mobile phone data sets currently being generated in the  
developing world. Such analytics could provide a better understanding  
of social relationships and information flows in disadvantaged  
societies, as well as guiding and monitoring ICT-D interventions and  
public policy, and giving insight into population responses to crises.  
Other topics would include exploring how machine learning and  
inference could help us understand human mobility patterns, yielding,  
for example, real-time estimates of the progression of disease  
outbreaks and guiding public health interventions. Machine reasoning  
could also provide remote areas with medical support through automated  
diagnosis, along with guidance for the effective triaging of limited  
resources and human medical expertise. Additional potential topics  
include instant machine translation for better communication and  
coordination among people who speak different languages, user modeling  
for online tutoring, investment advisory tools, and simulation,  
modeling, and decision support for agricultural optimization.

The AAAI Artificial Intelligence for Development Spring Symposium at  
Stanford will help define this new research area, and identify the  
next steps to establishing a sustainable and vibrant AI-D research  
community. In conjunction with Symposium, we are working to build a  
community of researchers with interests in AI-D, as well as to  
identify and make available case libraries of data (such as  
communication logs, financial transactions, and local market prices)  
for research.  A site has been created for AI-D researchers at 

Interested participants should submit full papers (6 pages) and  
position papers (2 pages) in AAAI format to [log in to unmask]  
Selected papers from the symposium will be published as an AAAI  
technical report.

Organizing Committee:
Nathan Eagle, cochair (Santa Fe Institute), Eric Horvitz, cochair  
(Microsoft Research), Shawndra Hill, data cochair (Wharton), Ravi Jain  
data cochair (Google), Saleema Amershi (University of Washington),  
Gaetano Boriello (University of Washington and Google), Neil Ferguson  
(Imperial, UK), Ashish Kapoor (Microsoft Research), John Quinn  
(Makerere University, Uganda), Roni Rosenfeld (Carnegie Mellon  
University), Kentaro Toyama (Microsoft Research), Peter Waiganjo  
Wagacha (University of Nairobi)

*	Submissions for the symposia are due on October 31, 2009
*	Notification of acceptance will be given by November 27, 2009
*	Camera-ready material must be received by January 22, 2010
*	Symposium at Stanford University will be held on March 22-24, 2010

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