External Course

DSA ADS Course - 2021

Reconciling estimates of global spread and infection fatality rates of COVID- 19: An overview of systematic evaluations

Seroprevalence, COVID19, Public Policy, Health Policy, Infection Fatality Rates

It is critical to estimate as soon as possible the infection fatality rate of next pandemic pathogen from seroprevalence data.

DSA ADS Course - 2021

DSA ADS Course - 2021

Compiling Relational Database Schemata into Probabilistic Graphical Models

DSA ADS Course - 2021

The Sure-Thing Principle, Causal Reasoning, Data-Driven Decision-Making, Algorithm Decision Making, Applied Probability, Nonlinear Utility Scale, Simpson’s Paradox, Blyth’s Game

Discuss applied probability, causal reasoning and types of decision making processes. Apply to both traditional algorithms and machine learning algorithms in decision making processes.

See also: The Sure-Thing Principle

The Sure Thing - 2021

Abstract

DSA ADS Course - 2021

The Sure-Thing Principle, Causal Reasoning, Data-Driven Decision-Making, Algorithm Decision Making, Applied Probability

Discuss applied probability, causal reasoning and types of decision making processes. Apply to both traditional algorithms and machine learning algorithms in decision making processes.

See also: The Sure Thing

The Sure-Thing Principle - 2016

Abstract

July, 2021

Flow-based Attribution in Graphical Models: A Recursive Shapley Approach (Online Supplement)

DSA ADS Course - 2021

Artificial Intelligence, Democratic Norms, Human Rights, Civil Liberties, Data Privacy

This initiative examines emerging issues in four crucial arenas relating to the integrity and vibrancy of democratic systems:

• Challenges to free expression and the integrity of the media and information space

• Threats to intellectual inquiry 

• Contestation over the principles that govern technology

• Leverage of state-driven capital for political and often corrosive purposes

DSA ADS Course - 2021

Machine Learning, Medicine, Artificial Intelligence

Artificial intelligence (AI) research in healthcare is accelerating rapidly, with potential applications being demonstrated across various domains of medicine. However, there are currently limited examples of such techniques being successfully deployed into clinical practice. This article explores the main challenges and limitations of AI in healthcare, and considers the steps required to translate these potentially transformative technologies from research to clinical practice.

Main body

DSA ADS Course - 2021

Machine Learning, Artificial Intelligence, Medicine, Medical Imaging, Medical Devices