Talk Title: Participatory AI/ML for Grassroots Data Science
Critiques of big data, artificial intelligence and the political economies of platforms have been mounting in recent years, with scholars exposing their biased algorithms, extractivist logics and discriminatory outcomes. How, then, can those of us who work with AI, data science and technology use such tools in the service of equity, justice and liberation? Drawing from my forthcoming book Counting Feminicide: Data Feminism in Action (MIT Press, 2024), I describe a case study of building participatory...
Talk title: A unified framework for robustness, fairness, and collaboration in machine learning
“Pervasive needs for robustness, multi-agent collaboration, and fairness have motivated the design of new methods in research and development. However, these methods remain largely stylized, lacking a foundational perspective and provable performance. In this talk, I will introduce and highlight the importance of multi-objective learning as a unifying paradigm for addressing these needs. This...
Talk title: Computational Challenges in Environmental Epidemiology: Embedding Spatial Data Science, Mobile Health Technology, and Deep Learning into Prospective Cohort Studies
Abstract: The places in which we live, work, play, and age influence our health behaviors, our mental health, our cognitive function, and our chronic disease risk. However, the majority of research on spatial factors and health has relied on residential addresses to assign exposure, questionnaire data to measure health behaviors and health outcomes, and coarse and nonspecific indices to estimate...
Talk Title: A pragmatists' guide to machine learning for Earth observation imagery
Abstract: Our planet is constantly changing as a result of ecological and socioeconomic interactions across a variety of spatial and temporal scales. A growing number of Earth observation datasets provide regularly repeated synoptic measurements that enable us to map and understand landscapes as the dynamic systems...
In person and Zoom, register here: https://forms.gle/d4cvu4wA3RLFDjeu5
Talk Title: Using AI to Advance Mobile Digital Health in Resource-Constrained Environments
Abstract: The emergence of ubiquitous mobile computing devices and Artificial Intelligence (AI) algorithms is transforming patient care, hereby making it more scalable and accessible. This is of particular importance in resource-constrained environments (RCEs) where access to healthcare technologies or expertise may be limited. The sensing modalities (e.g., camera/gyroscope) of mobile devices are capable of capturing and storing data that can then be...
In person and Zoom, register here: https://forms.gle/d4cvu4wA3RLFDjeu5
Talk Title: NASA Harvest Africa Program: Advancing the Use of Earth Observations and Machine Learning for Agriculture Monitoring for Food Security in Africa
Abstract: Global food security is predicated on identifying sustainable production...
On zoom, register here: https://mittalsouthasiainstitute.harvard.edu/event/ai-and-social-impact-in-south-asia/
The rise of artificial intelligence technology and the modernization of the South Asia region have occurred in parallel over the past few decades – now, they are growing increasingly interconnected, with wide-ranging impacts and consequences. Join us for this miniseries as we explore how AI technology becomes an integral part of South Asian society and consider the potential opportunities and concerns of its proliferation.
The first panel in this miniseries will explore the social impact of AI in the region. As AI is used to address social, environmental, and economic...
