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I'm fine where I am, but I want to do more: Exploring Teacher Aspirations in Rural Côte d'Ivoire
- Vikram Kamath Cannanure,
- Justin Souvenir Niweteto,
- Yves Thierry Adji,
- Akpe Y. Hermann,
- Kaja K. Jasinska,
- Timothy X. Brown,
- Amy Ogan
Teaching is challenging in rural areas in developing countries because of large classroom sizes, limited basic infrastructure, and lack of teacher training. Teachers' impact on educational outcomes can be improved by teacher training programs but these ...
Conditional mixture models for precipitation data quality control
Rainfall is a very important weather variable, especially for agriculture. Unfortunately, rain gauges fail frequently. This paper describes a conditional mixture model for predicting the presence and amount of rain at a weather station based on ...
COVID-19 on Facebook Ads: Competing Agendas around a Public Health Crisis
In the age of social media, disasters and epidemics usher not only devastation and affliction in the physical world, but also prompt a deluge of information, opinions, prognoses and advice to billions of internet users. The coronavirus epidemic of 2019-...
We Don't Give a Second Thought Before Providing Our Information: Understanding Users' Perceptions of Information Collection by Apps in Urban Bangladesh
- Mahdi Nasrullah Al-Ameen,
- Tanjina Tamanna,
- Swapnil Nandy,
- M. A. Manazir Ahsan,
- Priyank Chandra,
- Syed Ishtiaque Ahmed
With a rapid increase in the use of digital technologies, people in the Global South including Bangladesh are exposed to a wide-range of smartphone applications (termed as apps in this paper), which offer a variety of features and services. However, ...
Enhancing Seismic Resilience of Water Pipe Networks
As disasters such as earthquakes and floods become more frequent and detrimental, it is increasingly important that water infrastructure resilience be strategically enhanced to support post-disaster functionality and recovery. In this paper, we focus on ...
28 Days Later: New Internet Users in Brazil and India Try a Lite Smartphone for a Month
As mobile internet growth continues to bring New Internet Users (NIUs) online, technology has adapted to fit this user segment. User barriers like devices and connectivity have declined as mobile phone prices have become more affordable and ...
Enabling sustainable behaviors of data recording and use in low-resource supply chains
Public services, such as public health supply chains, in low- and middle-income countries can be characterized as low-resource environments, where both infrastructure and human capacity are limited. There is no strong culture of data recording or use, ...
Magic Machines for Refugees
This paper presents findings from a set of 'magic machines' workshops with newly arrived Iraqi refugees in Australia. The aim was to allow a broad range of response in designing innovative and creative technologies that can help refugees deal with ...
Characterizing The Evolution Of Indian Cities Using Satellite Imagery And Open Street Maps
- Chahat Bansal,
- Aditi Singla,
- Ankit Kumar Singh,
- Hari Om Ahlawat,
- Mayank Jain,
- Prachi Singh,
- Prashant Kumar,
- Ritesh Saha,
- Sakshi Taparia,
- Shailesh Yadav,
- Aaditeshwar Seth
With growing urbanization, being able to track urban change is important to plan cities better. Land-use classification of satellite data has been actively used for this purpose. We augment this analysis through the use of crowd-sourced data about the ...
The Role of In-Group Bias and Balanced Data: A Comparison of Human and Machine Recidivism Risk Predictions
Fairness and bias in automated decision-making gain importance as the prevalence of algorithms increases in different areas of social life. This paper contributes to the discussion of algorithmic fairness with a crowdsourced vignette survey on ...
Automating the Surveillance of Mosquito Vectors from Trapped Specimens Using Computer Vision Techniques
- Mona Minakshi,
- Pratool Bharti,
- Willie B. McClinton,
- Jamshidbek Mirzakhalov,
- Ryan M. Carney,
- Sriram Chellappan
Among all animals, mosquitoes are responsible for the most deaths worldwide. Interestingly, not all types of mosquitoes spread diseases, but rather, a select few alone are competent enough to do so. In the case of any disease outbreak, an important ...
ICTs as Enablers of Resilient Social Capital for Ethnic Peace
Violent conflict affects the lives, livelihoods and health of almost 1.5 billion people in the world. Efforts of intervention in violent conflicts through liberal peacebuilding strategies have not yielded fruits. This has paved way for resilience to be ...
Satellite imagery analysis for Land Use, Land Use Change and Forestry: A pilot study in Kigali, Rwanda
Estimating greenhouse gases from the Agriculture, Forestry and Other land Use (AFOLU) sector is very challenging partly due to the unavailability of data (particularly for land use and land use change sectors) and inadequate experts to analyze this data ...
"You are asking me to pay for my legs": Exploring the Experiences, Perceptions, and Aspirations of Informal Public Transportation Users in Kampala and Kigali
Smart technologies have recently come under scrutiny for automating inequality. Given the current push towards developing and implementing smart cities policies that affect transportation systems in places like Kampala and Kigali, it is important to ...
Technology Adoption Dynamics of the Press Workers in Bangladesh
To protect under-represented and marginalized workers from the upcoming automation boom, it is imperative to critically examine the past technological breakthroughs and their impacts on workers. In the last two decades of the twentieth century, computer-...
Practitioners and ICTD: Communities of Practice Theory in Technology Interventionism
ICTD is a field with a long history of interventionist research in a broad set of domains, including health, agriculture, education, and civics. A common thread between many of these interventions is that they addressed the knowledge and actions of ...
Nocturnal Cough and Snore Detection Using Smartphones in Presence of Multiple Background-Noises
Non-speech human sounds, such as coughs and snores, and their patterns are associated with different respiratory diseases, including asthma, chronic obstructive pulmonary disease (COPD), as well as other health difficulties such as sleep disorders. ...
Modulo: Drive-by Sensing at City-scale on the Cheap
Ambient air pollution in urban areas is a significant health hazard, with over 4.2 million deaths annually attributed to it. A crucial step in tackling these challenge is to measure air quality at a fine spatiotemporal granularity. A promising approach ...
Extracting Features from Online Forums to Meet Social Needs of Breast Cancer Patients
Breast cancer patients go through many ordeals when they undergo treatments. Many of these issues are personal, social, or professional. As many of them are not directly medical in nature, these issues are not discussed with their healthcare providers ...
Global Goods Software for the Immunization Cold Chain
This paper explores the challenge of taking Global Goods software to international scale. Global Goods software is non-commercial software designed to support global development goals. We argue that a fundamental challenge behind this type of software ...
Can Phones Build Relationships?: A Case Study of a Kenyan Wildlife Conservancy's Community Development
- Matt Ziegler,
- Morgan Wack,
- Nancy Ingutia,
- Ian Muiruri,
- Nicholas Njogu,
- Kennedy Muriithi,
- William Njoroge,
- James Long,
- Kurtis Heimerl
Wildlife conservancies across the globe are increasingly recognizing their need to support their surrounding communities to sustainably operate. Rapidly shifting environmental and sociopolitical climates increasingly stress existing resource and service ...
RoadCare: A Deep-learning Based Approach to Quantifying Road Surface Quality
Roads form a critical part of any region's infrastructure. Their constant monitoring and maintenance is thus essential. Traditional monitoring mechanisms are heavy-weight, and hence have insufficient coverage. In this paper, we explore the use of crowd-...
LokDhaba: Acquiring, Visualizing and Disseminating Data on Indian Elections
Despite the importance of elections in India, the world's largest democracy, data on Indian electoral outcomes has not been easily available for political analysis in the past. This has been due to the problems inherent in assembling any data archive of ...
Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field
In the Global South, mobile airtime payment has emerged as a popular way to incentivize different research studies, including ones on survey completion or disseminating information to people. Building on this literature, we report deployment experiences ...
Extend: A Framework for Increasing Energy Access by Interconnecting Solar Home Systems
The means of electrifying households and the resulting electricity networks are rapidly evolving. Traditionally, an extension of existing centralized grids was the only prominent technique, but now electrification is seeing massive expansion via ...
Development of an mHealth Behavior Change Communication Strategy: A case-study from rural Uttar Pradesh in India
Mobile health interventions are an innovative way to improve health outcomes and may play a powerful role in mitigating health disparities. However, their use poses special challenges and few articles have reported specifically on digital technology ...
Persuasive information campaign to save water in Universities: An option for water-stressed areas?
The City of Cape Town (CoCT) experienced three years of drought, which necessitated the implementation of water demand management strategies by one of the universities in CoCT to reduce water consumption. This study used persuasive system (persuasive ...
Information Technology (IT) and Welfare in India: Does IT work?
The use of information technology (IT) in public administration is seen as a significant tool for improving efficiency, transparency and accountability and in popular rhetoric, and is often heralded as a necessary and sufficient condition for this. We ...
Learning to segment from misaligned and partial labels
To extract information at scale, researchers are increasingly applying semantic segmentation techniques to remotely-sensed imagery. While fully-supervised learning enables accurate pixelwise segmentation, compiling the exhaustive datasets required is ...
SunDown: Model-driven Per-Panel Solar Anomaly Detection for Residential Arrays
Solar arrays often experience faults that go undetected for long periods of time, resulting in generation and revenue losses. In this paper, we present SunDown, a sensorless approach for detecting per-panel faults in solar arrays. SunDown's model-driven ...
Index Terms
- Proceedings of the 3rd 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% |