Machines Gone Wild! + Can Microlearning improve Data Science training?
Meetup 25-Jan-2018: Papers We Love
1. Machines Gone Wild → Digital trust gap Last year I spoke with the CEO of a smallish healthcare firm. He had not embraced sophisticated analytics or machine-made decision making, with no comfort level for ‘what information he could believe’. He did, however, trust the CFO’s recommendations. Evidently, these sentiments are widely shared. — […]
How women decide, Pay for Success, and Chief Cognitive Officers.
Our founder, Tracy Allison Altman, will talk about behavioral economics for software design @ Papers We Love – Denver on Jan 25. Tversky and Kahneman’s classic “Judgment under Uncertainty: Heuristics and Biases” challenged conventional thinking about bias in decision making, inspiring new approaches to cognitive science, choice architecture, public policy, and the underlying technology. Join […]
Bitcoin for learning, market share meaninglessness, and fighting poverty with evidence.
1. Do we judge women’s decisions differently? Cognitive psychologist Therese Huston’s new book is How Women Decide: What’s True, What’s Not, and What Strategies Spark the Best Choices. It may sound unscientific to suggest there’s a particular way that several billion people make decisions, but the author doesn’t seem nonchalant about drawing specific conclusions. The […]
Game theory for Jeopardy!, evidence for gun control, and causality.
1. Bitcoin tech records people’s learning. Ten years from now, what if you could evaluate a job candidate by reviewing their learning ledger, a blockchain-administered record of their learning transactions – from courses they took, books they read, or work projects they completed? And what if you could see their work product (papers etc.) rather […]
Social program RCTs, health guidelines, and evidence-based mentoring.
1. Deep knowledge → Wagering strategy → Jeopardy! win Some Jeopardy! contestants struggle with the strategic elements of the show. Rescuing us is Keith Williams (@TheFinalWager), with the definitive primer on Jeopardy! strategy, applying game theory to every episode and introducing "the fascinating world of determining the optimal approach to almost anything". 2. Gun controls […]
Masters of self-deception, rapid systematic reviews, and Gauss v. Legendre.
1. Evidence → Social RCTs → Transformational change More progress toward evidence-based social programs. The Laura and John Arnold foundation expanded its funding of low-cost randomized controlled trials. @LJA_Foundation, an advocate for evidence-based, multidisciplinary approaches, has committed $100,000+ for all RCT proposals satisfying its RFP criteria and earning a high rating from its expert review […]
Decision science, NFL prediction, and recycling numbers don’t add up.
1. Human fallibility → Debiasing techniques → Better science Don't miss Regina Nuzzo's fantastic analysis in Nature: How scientists trick themselves, and how they can stop. @ReginaNuzzo explains why people are masters of self-deception, and how cognitive biases interfere with rigorous findings. Making things worse are a flawed science publishing process and "performance enhancing" statistical […]
Data blindness, measuring policy impact, and informing healthcare with baseball analytics.
1. Data science → Decision science → Institutionalize data-driven decisions Deepinder Dhingra at @MuSigmaInc explains why data science misses half the equation, and that companies instead need decision science to achieve a balanced creation, translation, and consumption of insights. Requisite decision science skills include "quantitative and intellectual horsepower; the right curiosity quotient; ability to think […]
Data-driven organizations, machine learning for C-Suite, and healthcare success story.
1. Creative statistics → Valuable insights → Reinvented baseball business Exciting baseball geek news: Bill James and Billy Beane appeared together for the first time. Interviewed in the Wall Street Journal at a Netsuite conference on business model disruption, Beane said new opportunities include predicting/avoiding player injuries – so there's an interesting overlap with […]
1. Great stuff on data-driven decision making in a new O'Reilly book by Carl Anderson (@LeapingLlamas), Creating the Data-Driven Organization. Very impressive overview of the many things that need to happen, and best practices for making them happen. Runs the gamut from getting & analyzing the data, to creating the right culture, to the psychology […]