Research

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MACHINE LEARNING X DOING WORKING PAPER 1

DATASTREAMS: STATISTICS AND CAUSAL INFERENCE IN REAL-TIME

KWEKU OPOKU-AGYEMANG

Statistical causal inference techniques for real-time data.

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MACHINE LEARNING X DOING WORKING PAPER 2

THE DIGITAL ECONOMICS OF THE FUTURE OF WORK

KWEKU OPOKU-AGYEMANG

Learning in contemporary environments

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CONDITIONALLY ACCEPTED. Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision Workshop, CVPR 2021.

MACHINE LEARNING X DOING WORKING PAPER 3

ECONOMETRIC CAUSAL INFERENCE FOR COMPUTER VISION: IMAGE NATURAL EXPERIMENTS INSPIRED BY THE SOCIAL SCIENCES

KWEKU OPOKU-AGYEMANG

The social impact and context of image data.

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POLICY IMPLICATIONS

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“In next-generation AI research, social impact will not be just an afterthought. And in state-of-the-art economics research, technology will be a non-superficial part of the discussion. It is not too late for AI and the economy to take us in a different and more constructive direction, but things will have to change. My efforts are designed to support decision-making throughout every sector of the economy for impact.”

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