Repeats every 3 weeks every Tuesday, 1 times . Also includes Thu Apr 08 2021, Tue Apr 20 2021, Thu Apr 29 2021.
12:00pm to 1:30pm
Location:
Virtual (See registration links below)
This year we are excited to host a virtual CRCS Rising Stars Speaker Series! Each talk in the series will feature 12 minute presentations from 4 PhD students and postdoctoral candidates who were nominated by experts in the field as having demonstrated exemplary research in topics related to AI for social good. Talks will be followed by a panel discussion with the speakers. Please find more information below, and send any questions via email to crcs_workshop@g.harvard.edu.
This year we are excited to host a virtual CRCS Rising Stars Speaker Series! Each talk in the series will feature 12 minute presentations from 4 PhD students and postdoctoral candidates who were nominated by experts as demonstrating exemplary research in advancing AI for Social Good. Talks will be followed by a panel discussion with the speakers. Please check back at this address in the future for more information on our Rising Star speakers, and send any questions via email to crcs_workshop@g....
Zoom conference - register at url.seas.harvard.edu/AIforHE
Does Artificial Intelligence have a role to play in the pursuit of health equity? Three panelists share their perspectives from history, statistics, machine learning, and policy.
Dr. Heather Mattie will talk about algorithmic bias in healthcare, describe where bias can be introduced in the process of creating and implementing prediction algorithms, and review ways to mitigate bias.
Dr. David S. Jones will talk about reconsidering use of race correction in algorithms with this talk titled, "Hidden in Plain Sight -- Reconsidering the Use of Race Correction in Clinical Algorithms".
Dr. Nathaniel Hendrix will talk about equitable translation of clinical AI methods in his talk, titled "Cost-Effectiveness Analysis to Support the Equitable Implementation of Clinical Artificial Intelligence."
Zoom conference - Register at https://crcs.seas.harvard.edu/ai-social-impact
Title: Mismatches and Seams in Civic Data Infrastructure
Abstract: Municipal governments are increasingly collecting and using data for decision-making and service provisioning. At the same time, community groups and civic organizations are also increasingly engaged in data collection and use as they mobilize to address local issues – including economic development, mobility, and public health. This common site of data production and use is a potential site of civic collaboration among formal and informal...
This year we are excited to host a virtual CRCS Rising Stars Speaker Series! Each talk in the series will feature 12 minute presentations from 4 PhD students and postdoctoral candidates who were nominated by experts in the field as having demonstrated exemplary research in topics related to AI for social good. Talks will be followed by a panel discussion with the speakers. Please find more information below, and send any questions via email to crcs_workshop@g.harvard.edu.
This year we are excited to host a virtual CRCS Rising Stars Speaker Series! Each talk in the series will feature 12 minute presentations from 4 PhD students and postdoctoral candidates who were nominated by experts as demonstrating exemplary research in advancing AI for Social Good. Talks will be followed by a panel discussion with the speakers. Please check back at this address in the future for more information on our Rising Star speakers, and send any questions via email to crcs_workshop@g....
Zoom conference - Register at https://crcs.seas.harvard.edu/ai-social-impact
Title: Lessons from Bottom of the Pyramid Innovation for AI for Social Good
Abstract: The AI for Social Good movement is nearing a full decade, but most projects in the space have had little meaningful and sustained impact beyond the purpose of demonstration. One of the main reasons for this is that, like the populations they serve, social change organizations tend to be stretched thin in terms of money, time, and investment in capacity building. Specifically, they have limited capacity to take custom solutions created for them by...
Zoom conference - Register at https://crcs.seas.harvard.edu/ai-social-impact
Title: Leveling Up: Developing Upstream Health Informatics Interventions to Reduce Health Disparities
Abstract: Health disparities are differences in disease incidence, prevalence, morbidity, mortality, or survival in one group compared to the general population. Health disparities are a product of macro-level social, political and economic mechanisms and intermediary social determinants of health such as living and working...
Zoom conference - Register at https://crcs.seas.harvard.edu/ai-social-impact
Abstract: Advances in computing technology continue to offer us new insights about our health and well-being. As mutually reinforcing trends make the use of wearable and mobile devices routine, we now collect personal, health-related data at an unprecedented scale. Meanwhile, electronic health record (EHR) systems continue to evolve. In response, ML/AI-driven solutions are making use of data incorporating multitudinous dimensions of our health. How can researchers take inclusive approaches to envisioning solutions, training data, and deploying AI/ML-driven solutions...
Computational tools are poised to play an increasingly large role in our society across different domains, including public health and conservation. As a consequence, computational tools need to be designed to ensure equitable benefits for everyone. To that end, we need to bring in a diverse set of perspectives that spans from algorithmic fairness, human-centered computing, and sustained deployment. This...