As leaders, it's very difficult to create change in our organizations. One of the biggest problems is that over time, we forget what drives our change and what progress we're making. When we work with ...

Over the past 50 years and more, governments have worked to improve decision-making, relying less on anecdote and intuition and more on analysis and evidence. More budgets now focus not just on ...

'Human in the Loop’ Learning (HITL), describes a setup whereby a learning machine or computer system can incorporate selected human inputs or labels into its inferences or learning process, and ...

Many doctors abandon a potentially life-saving medical scanning technology soon after training, because systemic barriers prevent it from becoming part of their routine practice, a study has found.

This form of reinforcement learning was also shown to correct for control scenarios like irregular meal timing and compression errors. Offline reinforcement learning (RL) in hybrid closed-loop systems ...

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...

ABSTRACT. Adaptive management is often advocated as a solution to understanding and managing complexity in social-ecological systems. Given the centrality of learning in adaptive management, it ...