in ACM Distributed Ledger Technologies: Research and Practice Bill Tomlinson and I published a paper in the ACM journal Distributed Ledger Technologies: Research and Practice (DLT) “a peer-reviewed journal that seeks to publish high-quality, interdisciplinary research on the research and development, real-world deployment, and evaluation of distributed ledger technologies, such as blockchain, cryptocurrency, and smart contract.”…
Bill Tomlinson, Rebecca Black, Andrew Torrance, and I wrote a paper that was accepted to Springer Nature Journal, Scientific Reports, in which we compare the carbon emissions between AI systems and humans. What did we find? We discuss the benefits and drawbacks of AI, including potential job displacement and legal issues, while highlighting the lower…
A long stretch of research and writing with a great group of colleagues, Bill Tomlinson, Jens Boberg, Jocelyn Cranefield, David Johnstone, Markus Luczak-Roesch, Shreya Kapoor and myself has finally resulted in the publication of a new article article titled “Analyzing the Sustainability of 28 ‘Blockchain for Good’ Projects via Affordances and Constraints.” It has been…
“Computing within Limits” published in the Communications of the ACM A great group of colleagues, Bonnie Nardi, Bill Tomlinson, Jay Chen, Daniel Pargman, Barath Raghavan, Birgit Penzenstadler and I just received word that an article titled “Computing within Limits” has been published in the Communications of the ACM. This article summarizes the state of the art within…
This is one of two workshop papers that received a promotion to journal publications as part of this special issue of First Monday: This month: August 2015 Special issue: LIMITS 2015 — First workshop on computing within limits Today’s society is increasingly dependent upon and enmeshed with computing and technology. In parallel with advancements in computing, we have…
This is one of two workshop papers that received a promotion to journal publications as part of this special issue of First Monday: This month: August 2015 Special issue: LIMITS 2015 — First workshop on computing within limits Today’s society is increasingly dependent upon and enmeshed with computing and technology. In parallel with advancements in computing, we have…
What happens if efforts to achieve sustainability fail? Research in many fields argues that contemporary global industrial civilization will not persist indefinitely in its current form, and may, like many past human societies, eventually collapse. Arguments in environmental studies, anthropology, and other fields indicate that this transformation could begin within the next half-century. While imminent…
We present an extensive three year study on economically annotating video with crowdsourced marketplaces. Our public framework has annotated thousands of real world videos, including massive data sets unprecedented for their size, complexity, and cost. To accomplish this, we designed a state-of-the-art video annotation user interface and demonstrate that, despite common intuition, many contemporary interfaces…
There is emerging data that patterns of motor activity early in neonatal life can predict impairments in neuromotor development. However, current techniques to monitor infant movement mainly rely on observer scoring, a technique limited by skill, fatigue, and inter-rater reliability. Consequently, we tested the use of a lightweight, wireless, accelerometer system that measures movement and…
In the human–computer interaction, computer supported cooperative work, and ubiquitous computing literature, making people’s presence and activities visible as a design approach has been extensively explored to enhance computer-mediated interactions and collaborations. This process has developed under the rubrics of “awareness,” “social translucence,” “social activity indicators,” “social navigation,” etc. Although the name and details vary,…
This paper reports on the requirements for, design of, and preliminary evaluation of a novel pervasive healthcare system for supporting the care of premature infants as they transition from hospital to home. In support of this system, we report the results of gesture sensing in a clinical setting and of interviews and focus groups with…
The Nomatic prototype system and communications ecosystem automatically infers users’ place, activity, and availability from sensors on their handheld devices or laptop computers and then reports this information to their instant-messaging contacts. ( local copy ) Published in IEEE Pervasive Computing C.V.: JR-05
The process of designing technological systems for the developing world is a challenging task. In a project that we undertook in the summer of 2007 using an iterative design process, we attempted to develop delay-tolerant networking technology on mobile phones to support workers at AIDS orphanages in Zambia and South Africa. Despite extensive preparations and…
In this article we discuss an assisted cognition information technology system that can learn personal maps customized for each user and infer his daily activities and movements from raw GPS data. The system uses discriminative and generative models for different parts of this task. A discriminative relational Markov network is used to extract significant places…
This paper introduces a hierarchical Markov model that can learn and infer a user’s daily movements through an urban community. The model uses multiple levels of abstraction in order to bridge the gap between raw GPS sensor measurements and high level information such as a user’s destination and mode of transportation. To achieve efficient inference,…
Elevated serum phosphate levels have been linked with vascular calcification and mortality among dialysis patients. The relationship between phosphate and mortality has not been explored among patients with chronic kidney disease (CKD). A retrospective cohort study was conducted from eight Veterans Affairs’ Medical Centers located in the Pacific Northwest. CKD was defined by two continuously…
Recognizing and recording activities of daily living is a significant problem in elder care. A new paradigm for ADL inferencing leverages radio-frequency-identification technology, data mining, and a probabilistic inference engine to recognize ADLs, based on the objects people use. ( local copy ) Published in IEEE Pervasive Computing C.V.: JR-01