R. J. Honicky

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By attaching sensors to GPS-enabled cell phones, we can gather the raw data necessary to begin understand how urban air pollution impacts both individuals and communities. In this paper we introduce a hardware and software platform for exploring algorithms and data gathered from pollution sensors integrated into cell phones, and discuss our main research(More)
Summary form only given. Typical algorithms for decentralized data distribution work best in a system that is fully built before it first used; adding or removing components results in either extensive reorganization of data or load imbalance in the system. We have developed a family of decentralized algorithms, RUSH (replication under scalable hashing),(More)
Researchers are developing mobile sensing platforms to facilitate public awareness of environmental conditions. However, turning such awareness into practical community action and political change requires more than just collecting and presenting data. To inform research on mobile environmental sensing, we conducted design fieldwork with government,(More)
In this chapter we present an important new shift in mobile phone usage – from communication tool to “networked mobile personal measurement instrument”. We explore how these new “personal instruments” enable an entirely novel and empowering genre of mobile computing usage called citizen science. We investigate how such citizen science can be used(More)
The Common Sense project is developing mobile environmental sensing platforms to support grassroots community action. To this end, we are building a family of hardware and software components that can be used in a range of applications, as well as developing new communication paradigms that enable communities of nonexperts to gather and produce information(More)
The work we've done in the world's developing regions has been immensely rewarding and helped make us all strong advocates for technology. The first reward is simply the experience of these countries, their surprising happiness, and the technology insights that come from being there. The deeper reward is of course actually helping people by creating new(More)
As storage systems scale to thousands of disks, data distribution and load balancing become increasingly important. We present an algorithm for allocating data objects to disks as a system as it grows from a few disks to hundreds or thousands. A client using our algorithm can locate a data object in microseconds without consulting a central server or(More)
We explore the value and utility of voice messages for cellular users that live in areas of poor or intermittent network coverage. Voice messages have the potential to be much lower cost than traditional live calls and should work well in areas of intermittent coverage. To explore these questions, we built a prototype cellphone system with voice messaging(More)
The World Health Organization reports that 2 million people die each year from the effects of air pollution, twice the number of fatalities as from automobile accidents [1]. Direct causes of air pollution related deaths include aggravated asthma, bronchitis, emphysema, lung and heart diseases, and respiratory allergies. While civic agencies address(More)
Although mobile phone usage has proliferated in urban areas of developing countries, many rural or poor users remain completely unconnected, particularly in Africa. In this paper, we advocate an alternative “voice message mostly” mobile phone architecture to reach the next billion users. Using initial analyses of mobile phone usage and rural power data, we(More)