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Examining the use and non-use of mobile payment systems for merchant payments in India
Many countries across the globe are engaged in efforts to promote a cashless society. In India, there is a strong top-down push by the government and the private sector for mobile payments. In this work, we examine the benefits and pitfalls people ...
Examining the challenges in development data pipeline
The developing world has increasingly relied on data driven policies. Numerous development agencies have pushed for on-ground data collection to support the development work they pursue. Many governments have launched their own efforts for frequent ...
Mental health in the global south: challenges and opportunities in HCI for development
- Sachin R. Pendse,
- Naveena Karusala,
- Divya Siddarth,
- Pattie Gonsalves,
- Seema Mehrotra,
- John A. Naslund,
- Mamta Sood,
- Neha Kumar,
- Amit Sharma
Mental illness is rapidly gaining recognition as a serious global challenge. Recent human-computer interaction (HCI) research has investigated mental health as a domain of concern, but is yet to venture into the Global South, where the problem exhibits ...
Some requests for machine learning research from the east african tech scene
Based on 46 in-depth interviews with scientists, engineers, and CEOs, this document presents a list of concrete machine research problems, progress on which would directly benefit tech ventures in East Africa.
Low-cost aerial imaging for small holder farmers
- Aditya Jain,
- Zerina Kapetanovic,
- Akshit Kumar,
- Vasuki Narasimha Swamy,
- Rohit Patil,
- Deepak Vasisht,
- Rahul Sharma,
- Manohar Swaminathan,
- Ranveer Chandra,
- Anirudh Badam,
- Gireeja Ranade,
- Sudipta Sinha,
- Akshay Uttama Nambi S N
Recent work in networked systems has shown that using aerial imagery for farm monitoring can enable precision agriculture by lowering the cost and reducing the overhead of large scale sensor deployment. However, acquiring aerial imagery requires a drone,...
Price forecasting & anomaly detection for agricultural commodities in India
Fluctuations in food prices can cause distress among both consumers and producers, and are often exacerbated by trading networks especially in developing economies where marketplaces may not be operating under conditions of perfect competition for ...
Anomaly detection in the presence of missing values for weather data quality control
Accurate weather data is important for improving agricultural productivity in developing countries. Unfortunately, weather sensors can fail for a wide variety of reasons. One approach to detecting failed sensors is to identify statistical anomalies in ...
Optimizing peer referrals for public awareness using contextual bandits
Programs that reward people for referring their friends are increasingly being used to raise awareness about important topics. With a fixed budget for referral incentives, a natural goal for such referral programs is to maximize the number of people ...
"You give a little of yourself": family support for children's use of an IVR literacy system
- Michael A. Madaio,
- Vikram Kamath,
- Evelyn Yarzebinski,
- Shelby Zasacky,
- Fabrice Tanoh,
- Joelle Hannon-Cropp,
- Justine Cassell,
- Kaja Jasinska,
- Amy Ogan
Low levels of childhood literacy in global contexts may be mitigated by educational technologies, however, these technologies often rely on parents of sufficient literacy to effectively support their children. Given low levels of adult literacy in many ...
Learning from african classroom pedagogy to increase student engagement in education technologies
Tablet-based educational technologies provide a supplement to traditional classroom-based early literacy education, especially in regions with limited schooling resources. Prior work has probed how children generally interact with and learn from these ...
Learnings from deploying a voice-based social platform for people with disability
For people with disability living in low-income neighborhoods, access to technology is compounded by inaccessible designs and relative isolation in poverty. To bring together this segment of population, an NGO in India built Enable Vaani, a voice-based ...
Technology, home health care, and heart failure: a qualitative analysis with multiple stakeholders
- Fabian Okeke,
- Emily Tseng,
- Benedetta Piantella,
- Mikaela Brown,
- Harveen Kaur,
- Madeline R. Sterling,
- Nicola Dell
Home health aides (HHAs) increasingly being used by adults with heart failure for long-term assistance and post-hospitalization care. Despite being heavily involved in numerous aspects of heart failure management, most HHAs have not received heart ...
Hardware, apps, and surveys at scale: insights from measuring grid reliability in Accra, Ghana
- Noah Klugman,
- Joshua Adkins,
- Susanna Berkouwer,
- Kwame Abrokwah,
- Ivan Bobashev,
- Pat Pannuto,
- Matthew Podolsky,
- Aldo Suseno,
- Revati Thatte,
- Catherine Wolfram,
- Jay Taneja,
- Prabal Dutta
The vision of sensor systems that collect critical and previously ungathered information about the world is often only realized when sensors, students, and subjects move outside the academic laboratory. However, deployments at even the smallest scales ...
Street smarts: measuring intercity road quality using deep learning on satellite imagery
High-quality roads are the scaffolding for prosperous and healthy societies, and accordingly garner huge investments from governments every year. However, current techniques to monitor those investments tend to be time-consuming, laborious, and ...
Truck traffic monitoring with satellite images
The road freight sector is responsible for a large and growing share of greenhouse gas emissions, but reliable data on the amount of freight that is moved on roads in many parts of the world are scarce. Many low- and middle-income countries have limited ...
GPU-accelerated principal-agent game for scalable citizen science
Citizen science programs have been instrumental in boosting sustainability projects, large-scale scientific discovery, and crowd-sourced experimentation. Nevertheless, these programs witness challenges in submissions' quality, such as sampling bias ...
Categories of control and visibility in mapping infrastructures
Little attention has been paid to how the infrastructural designs of crowd mapping platforms can result in limited participation and fewer contributions. To this end, we utilize a critical lens to study how OpenStreetMap's (OSM) techno-structure limits ...
Borders and gateways: measuring and analyzing national as chokepoints
Internet topology reflects economic and political constraints that change over time. Although autonomous systems (AS) topology has been measured and modeled for many years, focusing primarily on economic relationships, earlier studies have not ...
An assessment of SMS fraud in Pakistan
- Fahad Pervaiz,
- Rai Shah Nawaz,
- Muhammad Umer Ramzan,
- Maryem Zafar Usmani,
- Shrirang Mare,
- Kurtis Heimerl,
- Faisal Kamiran,
- Richard Anderson,
- Lubna Razaq
SMS fraud has become a growing concern for those working toward financial inclusion, however, it is often unclear how widespread such threats are in practice. This multi-method study investigates SMS fraud in Pakistan through identification and ...
Identity at the margins: examining refugee experiences with digital identity systems in Lebanon, Jordan, and Uganda
- Emrys Shoemaker,
- Gudrun Svava Kristinsdottir,
- Tanuj Ahuja,
- Dina Baslan,
- Bryan Pon,
- Paul Currion,
- Pius Gumisizira,
- Nicola Dell
This paper examines refugees' experiences with and perspectives on the digital identity systems used by humanitarian organizations to collect, manage, and share their personal data. Through a qualitative study with 198 refugees in Lebanon, Jordan, and ...
Moving into a technology land: exploring the challenges for the refugees in Canada in accessing its computerized infrastructures
While a growing body of literature in HCI is focusing on the initial needs of the refugees soon after their migration, most challenges associated with the long-term process of their integration with the host communities using technology have still ...
Studying the discourse on economic policies in India using mass media, social media, and the parliamentary question hour data
- Anirban Sen,
- Debanjan Ghatak,
- Kapil Kumar,
- Gurjeet Khanuja,
- Deepak Bansal,
- Mehak Gupta,
- Kumari Rekha,
- Saloni Bhogale,
- Priyamvada Trivedi,
- Aaditeshwar Seth
The parliament, media, and citizens, are key stakeholders in any democracy. We study their priorities pertaining to four economic policies in India - Demonetization, Aadhaar, GST, and Farmers' Protests - by examining the content of questions asked by ...
Using machine learning to help vulnerable tenants in New York city
- Teng Ye,
- Rebecca Johnson,
- Samantha Fu,
- Jerica Copeny,
- Bridgit Donnelly,
- Alex Freeman,
- Mirian Lima,
- Joe Walsh,
- Rayid Ghani
To keep housing affordable, the City of New York has implemented rent-stabilization policies to restrict the rate at which the rent of certain units can be increased every year. However, some landlords of these rent-stabilized units try to illegally ...
Towards building a district development model for india using census data
Models for socio-economic development are useful for planners to build appropriate policies. Such models are ideally constructed based on empirical data, and we take up the problem of working towards a district development model for India by using two ...
Reconstructing the MERS disease outbreak from news
Disease surveillance is critical for mobilizing health care resources and deciding on isolation measures to contain the spread of infectious diseases. Because ground truth signals of rare and deadly diseases are sparse, it can be useful to enrich ...
Index Terms
- Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
COMPASS '19 | 50 | 25 | 50% |
Overall | 50 | 25 | 50% |