Anonymous Data, Birding Basics. July 26, 2019, Part 1
The Science Friday Book Club is buckling down to read Jennifer Ackerman’s The Genius of Birds this summer. Meanwhile, it’s vacation season, and we want you to go out and appreciate some birds in the wild.
But for beginning birders, it may seem intimidating to find and identify feathered friends both near and far from home. Audubon experts Martha Harbison and Purbita Saha join guest host Molly Webster to share some advice. They explain how to identify birds by sight and by ear, some guides that can help, and tips on photographing your finds. Plus the highlights of summer birding: Shore bird migration is already underway, and baby birds are venturing out of the nest. We challenge you to get outside to see your local clever birds in action! Join the Science Friday Bird Club on the citizen science platform iNaturalist.
In this era of the Equifax breach and Facebook’s lax data privacy standards, most people are at least somewhat anxious about what happens to the data we give away. In recent years, companies have responded by promising to strip away identifying information, like your name, address, or social security number.
But data scientists are warning us that that isn’t enough. Even seemingly harmless data—like your preferred choice of cereal—can be used to identify you. In a paper from Nature Communications out this week, researchers published a tool that calculates the likelihood of someone identifying you after offering up only a few pieces of personal information, like your zip code and your birth date.
Dr. Julien Hendrickx, co-author of the study out in Nature Communications, joins guest host Molly Webster to discuss the risk of being discovered among anonymous data. And Joseph Jerome, policy council for the Privacy and Data project at the Center for Democracy and Technology, joins the conversation to talk about whether data can ever truly be anonymous.
Plus, the Ebola crisis in the D.R.C. is now the second biggest outbreak on record. That, and other science stories in the news this week.
Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that’s keeping you up at night? Call us: 877-472-4374
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.