example-zotero-group-shared-bibliography.bib

@online{angwin_journalistic_2023,
  title = {Journalistic {{Lessons}} for the {{Algorithmic Age}} – {{The Markup}}},
  author = {Angwin, Julia},
  date = {2023-02-04},
  url = {https://themarkup.org/hello-world/2023/02/04/journalistic-lessons-for-the-algorithmic-age},
  urldate = {2023-06-03},
  abstract = {A farewell letter from Julia Angwin},
  langid = {english},
  file = {/Users/me/Zotero/storage/QC4S287C/journalistic-lessons-for-the-algorithmic-age.html}
}

@article{ayano_prevalence_2019,
  title = {The Prevalence of Schizophrenia and Other Psychotic Disorders among Homeless People: A Systematic Review and Meta-Analysis},
  shorttitle = {The Prevalence of Schizophrenia and Other Psychotic Disorders among Homeless People},
  author = {Ayano, Getinet and Tesfaw, Getachew and Shumet, Shegaye},
  date = {2019-11-27},
  journaltitle = {BMC Psychiatry},
  shortjournal = {BMC Psychiatry},
  volume = {19},
  number = {1},
  pages = {370},
  issn = {1471-244X},
  doi = {10.1186/s12888-019-2361-7},
  url = {https://doi.org/10.1186/s12888-019-2361-7},
  urldate = {2022-10-12},
  abstract = {Schizophrenia and other psychotic disorders constitute a huge global burden of disease and they are major contributors to disability as well as premature mortality among homeless people. This systematic review and meta-analysis aimed to estimate the pooled prevalence of schizophrenia and other psychotic disorders among homeless people.},
  keywords = {Homeless,Meta-analysis,Psychotic disorder,Schizophrenia,Systematic review},
  file = {/Users/me/Zotero/storage/JB6IENY8/Ayano et al. - 2019 - The prevalence of schizophrenia and other psychoti.pdf;/Users/me/Zotero/storage/4L5WCQRA/s12888-019-2361-7.html}
}

@online{bailey_case_2020,
  title = {Case {{Study}}: {{Going Virtual}} with {{Global Workshops}}},
  shorttitle = {Case {{Study}}},
  author = {Bailey, Kristen},
  date = {2020-06-15T22:00:52+00:00},
  url = {https://collectivenext.com/blog/case-study-going-virtual-with-global-workshops/},
  urldate = {2022-10-10},
  abstract = {Our client, a Fortune 100 company, needed to develop a three-year Diversity \& Inclusion (D\&I) strategy. Their goal was to engage approximately 100 representatives from North America, Latin America, Europe and the Middle East, and Asia Pacific in shaping the D\&I vision and priorities. This inclusive approach needed to be successfully carried out entirely via virtual workshops.},
  langid = {american},
  organization = {{Collective Next}},
  file = {/Users/me/Zotero/storage/YU3UNTNF/case-study-going-virtual-with-global-workshops.html}
}

@incollection{bisong_google_2019,
  title = {Google {{Colaboratory}}},
  booktitle = {Building {{Machine Learning}} and {{Deep Learning Models}} on {{Google Cloud Platform}}: {{A Comprehensive Guide}} for {{Beginners}}},
  author = {Bisong, Ekaba},
  editor = {Bisong, Ekaba},
  date = {2019},
  pages = {59--64},
  publisher = {{Apress}},
  location = {{Berkeley, CA}},
  doi = {10.1007/978-1-4842-4470-8_7},
  url = {https://doi.org/10.1007/978-1-4842-4470-8_7},
  urldate = {2022-10-10},
  abstract = {Google Colaboratory more commonly referred to as “Google Colab” or just simply “Colab” is a research project for prototyping machine learning models on powerful hardware options such as GPUs and TPUs. It provides a serverless Jupyter notebook environment for interactive development. Google Colab is free to use like other G Suite products.},
  isbn = {978-1-4842-4470-8},
  langid = {english}
}

@article{blei_build_2014,
  title = {Build, {{Compute}}, {{Critique}}, {{Repeat}}: {{Data Analysis}} with {{Latent Variable Models}}},
  shorttitle = {Build, {{Compute}}, {{Critique}}, {{Repeat}}},
  author = {Blei, David M.},
  date = {2014},
  journaltitle = {Annual Review of Statistics and Its Application},
  volume = {1},
  number = {1},
  pages = {203--232},
  doi = {10.1146/annurev-statistics-022513-115657},
  url = {https://doi.org/10.1146/annurev-statistics-022513-115657},
  urldate = {2022-10-10},
  abstract = {We survey latent variable models for solving data-analysis problems. A latent variable model is a probabilistic model that encodes hidden patterns in the data. We uncover these patterns from their conditional distribution and use them to summarize data and form predictions. Latent variable models are important in many fields, including computational biology, natural language processing, and social network analysis. Our perspective is that models are developed iteratively: We build a model, use it to analyze data, assess how it succeeds and fails, revise it, and repeat. We describe how new research has transformed these essential activities. First, we describe probabilistic graphical models, a language for formulating latent variable models. Second, we describe mean field variational inference, a generic algorithm for approximating conditional distributions. Third, we describe how to use our analyses to solve problems: exploring the data, forming predictions, and pointing us in the direction of improved models.},
  keywords = {graphical models,latent variable models,posterior predictive checks,predictive sample reuse,variational inference}
}

@book{blitzstein_introduction_2019,
  title = {Introduction to {{Probability}}},
  author = {Blitzstein, Joseph K. and Hwang, Jessica},
  date = {2019-02-18},
  edition = {2},
  publisher = {{Chapman and Hall/CRC}},
  location = {{New York}},
  doi = {10.1201/9780429428357},
  abstract = {Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory.　  The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces.The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. New supplementary online resources have been developed, including animations and interactive visualizations, and the book has been updated to dovetail with these resources.　 Supplementary material is available on Joseph Blitzstein’s website www. stat110.net. The supplements include:Solutions to selected exercisesAdditional practice problemsHandouts including review material and sample exams Animations and interactive visualizations created in connection with the edX online version of Stat 110.Links to lecture videos available on ITunes U and YouTube There is also a complete instructor's solutions manual available to instructors who require the book for a course.},
  isbn = {978-0-429-42835-7},
  pagetotal = {634}
}

@book{bridges_reproducing_2011,
  title = {Reproducing {{Race}}: {{An Ethnography}} of {{Pregnancy}} as a {{Site}} of {{Racialization}}},
  shorttitle = {Reproducing {{Race}}},
  author = {Bridges, Khiara M.},
  date = {2011},
  edition = {1},
  eprint = {10.1525/j.ctt1ppjpz},
  eprinttype = {jstor},
  publisher = {{University of California Press}},
  url = {https://www.jstor.org/stable/10.1525/j.ctt1ppjpz},
  urldate = {2023-06-03},
  abstract = {\emph{Reproducing Race} , an ethnography of pregnancy and birth at a large New York City public hospital, explores the role of race in the medical setting. Khiara M. Bridges investigates how race-commonly seen as biological in the medical world-is socially constructed among women dependent on the public healthcare system for prenatal care and childbirth. Bridges argues that race carries powerful material consequences for these women even when it is not explicitly named, showing how they are marginalized by the practices and assumptions of the clinic staff. Deftly weaving ethnographic evidence into broader discussions of Medicaid and racial disparities in infant and maternal mortality, Bridges shines new light on the politics of healthcare for the poor, demonstrating how the "medicalization" of social problems reproduces racial stereotypes and governs the bodies of poor women of color.},
  isbn = {978-0-520-26894-4}
}

@article{brown_design_2008,
  entrysubtype = {magazine},
  title = {Design {{Thinking}}},
  author = {Brown, Tim},
  date = {2008-06-01T04:00:00Z},
  journaltitle = {Harvard Business Review},
  issn = {0017-8012},
  url = {https://hbr.org/2008/06/design-thinking},
  urldate = {2022-10-08},
  abstract = {In the past, design has most often occurred fairly far downstream in the development process and has focused on making new products aesthetically attractive or enhancing brand perception through smart, evocative advertising. Today, as innovation’s terrain expands to encompass human-centered processes and services as well as products, companies are asking designers to create ideas rather than to simply dress them up. Brown, the CEO and president of the innovation and design firm IDEO, is a leading proponent of design thinking—a method of meeting people’s needs and desires in a technologically feasible and strategically viable way. In this article he offers several intriguing examples of the discipline at work. One involves a collaboration between frontline employees from health care provider Kaiser Permanente and Brown’s firm to reengineer nursing-staff shift changes at four Kaiser hospitals. Close observation of actual shift changes, combined with brainstorming and rapid prototyping, produced new procedures and software that radically streamlined information exchange between shifts. The result was more time for nursing, better-informed patient care, and a happier nursing staff. Another involves the Japanese bicycle components manufacturer Shimano, which worked with IDEO to learn why 90\% of American adults don’t ride bikes. The interdisciplinary project team discovered that intimidating retail experiences, the complexity and cost of sophisticated bikes, and the danger of cycling on heavily trafficked roads had overshadowed people’s happy memories of childhood biking. So the team created a brand concept—“Coasting”—to describe a whole new category of biking and developed new in-store retailing strategies, a public relations campaign to identify safe places to cycle, and a reference design to inspire designers at the companies that went on to manufacture Coasting bikes.},
  keywords = {Design thinking,IDEO,Innovation},
  file = {/Users/me/Zotero/storage/74WG5VCE/design-thinking.html}
}

@incollection{butterfield_fowlers_2015,
  title = {Fowler’s {{Dictionary}} of {{Modern English Usage}}},
  booktitle = {Fowler’s {{Dictionary}} of {{Modern English Usage}}},
  editor = {Butterfield, Jeremy},
  date = {2015-06-18},
  publisher = {{Oxford University Press}},
  url = {https://www.oxfordreference.com/display/10.1093/acref/9780199661350.001.0001/acref-9780199661350},
  urldate = {2023-05-26},
  abstract = {"Fowler’s Dictionary of Modern English Usage" published on  by Oxford University Press.},
  isbn = {978-0-19-966135-0},
  langid = {american},
  keywords = {Language reference,Usage and Grammar Guides},
  file = {/Users/me/Zotero/storage/VD77I5WH/acref-9780199661350.html}
}

@article{callaway_whats_2022,
  title = {What's next for {{AlphaFold}} and the {{AI}} Protein-Folding Revolution},
  author = {Callaway, Ewen},
  date = {2022-04-13},
  journaltitle = {Nature},
  volume = {604},
  number = {7905},
  pages = {234--238},
  publisher = {{Nature Publishing Group}},
  doi = {10.1038/d41586-022-00997-5},
  url = {https://www.nature.com/articles/d41586-022-00997-5},
  urldate = {2022-10-10},
  abstract = {DeepMind software that can predict the 3D shape of proteins is already changing biology.},
  issue = {7905},
  langid = {english},
  keywords = {Biological techniques,Computational biology and bioinformatics,Drug discovery,Structural biology},
  annotation = {Bandiera\_abtest: a Cg\_type: News Feature Subject\_term: Structural biology, Computational biology and bioinformatics, Biological techniques, Drug discovery},
  file = {/Users/me/Zotero/storage/LWQLKTUY/Callaway - 2022 - What's next for AlphaFold and the AI protein-foldi.pdf;/Users/me/Zotero/storage/4PWZHVQR/d41586-022-00997-5.html}
}

@misc{carney_my_2016,
  title = {My Position on ``{{Power Poses}}''},
  author = {Carney, Dana},
  date = {2016},
  url = {http://faculty.haas.berkeley.edu/dana_carney/pdf_my%20position%20on%20power%20poses.pdf}
}

@online{case_loopy_nodate,
  title = {{{LOOPY}}! {{A}} Tool for Thinking in Systems},
  author = {Case, Nicky},
  url = {https://bit.ly/loan_model},
  urldate = {2022-10-10},
  abstract = {a tool for thinking in systems},
  file = {/Users/me/Zotero/storage/4ICQSP8C/v1.1.html}
}

@book{chipchase_field_2017,
  title = {The {{Field Study Handbook}}},
  author = {Chipchase, Jan},
  date = {2017},
  url = {https://www.thefieldstudyhandbook.com/},
  urldate = {2023-05-26},
  file = {/Users/me/Zotero/storage/5VAYBK55/www.thefieldstudyhandbook.com.html}
}

@article{colombo_bayes_2012,
  title = {Bayes in the {{Brain}} - {{On Bayesian Modelling}} in {{Neuroscience}}},
  author = {Colombo, Matteo and Seriès, Peggy},
  date = {2012-09},
  journaltitle = {The British Journal for the Philosophy of Science},
  volume = {63},
  number = {3},
  pages = {697--723},
  publisher = {{The University of Chicago Press}},
  issn = {0007-0882},
  doi = {10.1093/bjps/axr043},
  url = {https://www.journals.uchicago.edu/doi/abs/10.1093/bjps/axr043},
  urldate = {2022-10-10},
  abstract = {According to a growing trend in theoretical neuroscience, the human perceptual system is akin to a Bayesian machine. The aim of this article is to clearly articulate the claims that perception can be considered Bayesian inference and that the brain can be considered a Bayesian machine, some of the epistemological challenges to these claims; and some of the implications of these claims. We address two questions: (i) How are Bayesian models used in theoretical neuroscience? (ii) From the use of Bayesian models in theoretical neuroscience, have we learned or can we hope to learn that perception is Bayesian inference or that the brain is a Bayesian machine? From actual practice in theoretical neuroscience, we argue for three claims. First, currently Bayesian models do not provide mechanistic explanations; instead they are useful devices for predicting and systematizing observational statements about people's performances in a variety of perceptual tasks. That is, currently we should have an instrumentalist attitude towards Bayesian models in neuroscience. Second, the inference typically drawn from Bayesian behavioural performance in a variety of perceptual tasks to underlying Bayesian mechanisms should be understood within the three-level framework laid out by David Marr ([1982]). Third, we can hope to learn that perception is Bayesian inference or that the brain is a Bayesian machine to the extent that Bayesian models will prove successful in yielding secure and informative predictions of both subjects' perceptual performance and features of the underlying neural mechanisms. 1{$\quad$}Introduction 2{$\quad$}Theoretical Neuroscientists meet Bayes 3{$\quad$}Is Perception Bayesian Inference? 4{$\quad$}How Should we Understand the Inference from Bayesian Observers to Bayesian Brains? 5{$\quad$}How Could we Discover that Brains are Bayesian? 6{$\quad$}Conclusion}
}

@online{cooperrider_allure_2023,
  title = {The Allure of Stories - {{Many Minds}} Podcast},
  author = {Cooperrider, Kensy},
  date = {2023-02-23T23:41:51+00:00},
  url = {https://disi.org/the-allure-of-stories/},
  urldate = {2023-06-03},
  abstract = {Exploring our world's diverse forms of mind—human, animal, machine—from diverse perspectives},
  langid = {american},
  organization = {{DISI}},
  file = {/Users/me/Zotero/storage/QNHZNEU5/the-allure-of-stories.html}
}

@article{doi:10.1177/0891241614545880,
  title = {Peeking in the Black Box: {{Studying}}, Theorizing, and Representing the Micro-Foundations of Day-to-Day Interactions},
  author = {Summers-Effler, Erika and Ness, Justin Van and Hausmann, Christopher},
  date = {2015},
  journaltitle = {Journal of Contemporary Ethnography},
  volume = {44},
  number = {4},
  eprint = {https://doi.org/10.1177/0891241614545880},
  pages = {450--479},
  doi = {10.1177/0891241614545880},
  url = {https://doi.org/10.1177/0891241614545880},
  abstract = {The discovery of mirror neurons opens new doors for ethnography. By attending to these advancements in cognitive science, ethnographers are provided firmer ground for investigating perceptual and emotional dynamics that are outside the realm of conscious deliberative processes. In this article, we explore these extra-deliberative processes in order to posit a new way to collect, analyze, and present findings. By examining how extra-deliberative dynamics shape action in systematic ways, we endeavor to bring together two aspects of sociological practice that have been assumed to be incompatible: (1) analytic efforts to build general theory and (2) a focus on emotions and other extra-deliberative dynamics. We conclude by suggesting that insights garnered through the analysis of extra-deliberative processes are optimally communicated using emotionally evocative writing.}
}

@book{effler_laughing_2010,
  title = {Laughing {{Saints}} and {{Righteous Heroes}}: {{Emotional Rhythms}} in {{Social Movement Groups}}},
  shorttitle = {Laughing {{Saints}} and {{Righteous Heroes}}},
  author = {Effler, Erika Summers},
  date = {2010-04},
  series = {Morality and {{Society Series}}},
  publisher = {{University of Chicago Press}},
  location = {{Chicago, IL}},
  url = {https://press.uchicago.edu/ucp/books/book/chicago/L/bo8367574.html},
  urldate = {2023-06-03},
  abstract = {Why do people keep fighting for social causes in the face of consistent failure? Why do they risk their physical, emotional, and financial safety on behalf of strangers? How do these groups survive high turnover and emotional burnout?To explore these questions, Erika Summers Effler undertook three years of ethnographic fieldwork with two groups: anti–death penalty activists STOP and the Catholic Workers, who strive to alleviate poverty. In both communities, members must contend with problems that range from the broad to the intimately personal. Adverse political conditions, internal conflict, and fluctuations in financial resources create a backdrop of daily frustration—but watching an addict relapse or an inmate’s execution are much more devastating setbacks. Summers Effler finds that overcoming these obstacles, recovering from failure, and maintaining the integrity of the group require a constant process of emotional fine-tuning, and she demonstrates how activists do this through thoughtful analysis and a lucid rendering of their deeply affecting stories.},
  isbn = {978-0-226-18866-9},
  langid = {english},
  pagetotal = {256},
  keywords = {academic,activism,activist,altruism,anti,burnout,catholic,communal,community,death penalty,defeat,emotion,ethnographic,ethography,failure,feeling,fieldwork,finance,financial,historical,history,member,money,movement,physical,poverty,research,rhythm,risk,safety,scholarly,social studies,sociology,stop,turnover,wellness},
  file = {/Users/me/Zotero/storage/H89FJEYT/bo8367574.html}
}

@book{efron_computer_2016,
  title = {Computer {{Age Statistical Inference}}: {{Algorithms}}, {{Evidence}}, and {{Data Science}}},
  shorttitle = {Computer {{Age Statistical Inference}}},
  author = {Efron, Bradley and Hastie, Trevor},
  date = {2016},
  series = {Institute of {{Mathematical Statistics Monographs}}},
  publisher = {{Cambridge University Press}},
  location = {{Cambridge}},
  doi = {10.1017/CBO9781316576533},
  url = {https://www.cambridge.org/core/books/computer-age-statistical-inference/E32C1911ED937D75CE159BBD21684D37},
  urldate = {2022-10-10},
  abstract = {The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.},
  isbn = {978-1-107-14989-2},
  file = {/Users/me/Zotero/storage/YA6R2I7T/E32C1911ED937D75CE159BBD21684D37.html}
}

@online{fiorella_how_2022,
  title = {How to {{Maintain Mental Hygiene}} as an {{Open Source Researcher}}},
  author = {Fiorella, Giancarlo},
  date = {2022-11-23T14:49:33+00:00},
  url = {https://www.bellingcat.com/resources/2022/11/23/how-to-maintain-mental-hygiene-as-an-open-source-researcher/},
  urldate = {2023-05-26},
  abstract = {Online researchers are often exposed to disturbing content – particularly from warzones like Ukraine. Here are some tips from first hand experience on how to stay safe.},
  langid = {british},
  organization = {{bellingcat}},
  file = {/Users/me/Zotero/storage/HQTXHLDM/how-to-maintain-mental-hygiene-as-an-open-source-researcher.html}
}

@incollection{garner_garners_2022,
  title = {Garner's {{Modern English Usage}}},
  booktitle = {Garner's {{Modern English Usage}}},
  author = {Garner, Bryan A.},
  date = {2022-12-22},
  publisher = {{Oxford University Press}},
  url = {https://www.oxfordreference.com/display/10.1093/acref/9780197599020.001.0001/acref-9780197599020},
  urldate = {2023-05-26},
  abstract = {"Garner's Modern English Usage" published on  by Oxford University Press.},
  isbn = {978-0-19-759902-0},
  langid = {american},
  keywords = {Language reference},
  file = {/Users/me/Zotero/storage/3JX47PGP/acref-9780197599020.html}
}

@book{gelman_bayesian_2015,
  title = {Bayesian {{Data Analysis}}},
  author = {Gelman, Andrew and Carlin, John B. and Stern, Hal S. and Dunson, David B. and Vehtari, Aki and Rubin, Donald B.},
  date = {2015-07-05},
  edition = {3},
  publisher = {{Chapman and Hall/CRC}},
  location = {{New York}},
  doi = {10.1201/b16018},
  abstract = {Winner of the 2016 De Groot Prize from the International Society for Bayesian AnalysisNow in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied},
  isbn = {978-0-429-11307-9},
  pagetotal = {675}
}

@online{gelman_bayesian_2020,
  title = {Bayesian {{Workflow}}},
  author = {Gelman, Andrew and Vehtari, Aki and Simpson, Daniel and Margossian, Charles C. and Carpenter, Bob and Yao, Yuling and Kennedy, Lauren and Gabry, Jonah and Bürkner, Paul-Christian and Modrák, Martin},
  date = {2020-11-03},
  eprint = {2011.01808},
  eprinttype = {arxiv},
  eprintclass = {stat},
  url = {http://arxiv.org/abs/2011.01808},
  urldate = {2022-10-10},
  abstract = {The Bayesian approach to data analysis provides a powerful way to handle uncertainty in all observations, model parameters, and model structure using probability theory. Probabilistic programming languages make it easier to specify and fit Bayesian models, but this still leaves us with many options regarding constructing, evaluating, and using these models, along with many remaining challenges in computation. Using Bayesian inference to solve real-world problems requires not only statistical skills, subject matter knowledge, and programming, but also awareness of the decisions made in the process of data analysis. All of these aspects can be understood as part of a tangled workflow of applied Bayesian statistics. Beyond inference, the workflow also includes iterative model building, model checking, validation and troubleshooting of computational problems, model understanding, and model comparison. We review all these aspects of workflow in the context of several examples, keeping in mind that in practice we will be fitting many models for any given problem, even if only a subset of them will ultimately be relevant for our conclusions.},
  langid = {english},
  pubstate = {preprint},
  keywords = {Statistics - Methodology},
  note = {Comment: 77 pages, 35 figures},
  file = {/Users/me/Zotero/storage/HFU8585E/Gelman et al. - 2020 - Bayesian Workflow.pdf}
}

@online{gibb_once_2023,
  title = {Once {{Upon}}},
  author = {Gibb, Katherine and Altosaar Li, Jaan},
  date = {2023},
  url = {https://help.onefact.org/once-upon},
  urldate = {2023-06-03},
  abstract = {Empower yourself and those around you - Once Upon teaches advanced interpersonal skills for behavior change.},
  organization = {{Once Upon}},
  file = {/Users/me/Zotero/storage/DEJSEM52/once-upon.html}
}

@incollection{gould_when_2015,
  title = {When Your Data Make You Cry},
  booktitle = {Methods of {{Exploring Emotions}}},
  author = {Gould, Deborah},
  date = {2015},
  publisher = {{Routledge}},
  isbn = {978-1-315-75653-0},
  pagetotal = {9}
}

@article{harrison_icd-11_2021,
  title = {{{ICD-11}}: An International Classification of Diseases for the Twenty-First Century},
  shorttitle = {{{ICD-11}}},
  author = {Harrison, James E. and Weber, Stefanie and Jakob, Robert and Chute, Christopher G.},
  date = {2021-11-09},
  journaltitle = {BMC Medical Informatics and Decision Making},
  shortjournal = {BMC Medical Informatics and Decision Making},
  volume = {21},
  number = {6},
  pages = {206},
  issn = {1472-6947},
  doi = {10.1186/s12911-021-01534-6},
  url = {https://doi.org/10.1186/s12911-021-01534-6},
  urldate = {2023-05-19},
  abstract = {The International Classification of Diseases (ICD) has long been the main basis for comparability of statistics on causes of mortality and morbidity between places and over time. This paper provides an overview of the recently completed 11th revision of the ICD, focusing on the main innovations and their implications.},
  keywords = {Classification,eHealth,Epidemiology,Informatics,International classification of diseases,Statistics},
  file = {/Users/me/Zotero/storage/WZSRMIL3/Harrison et al. - 2021 - ICD-11 an international classification of disease.pdf;/Users/me/Zotero/storage/HQ7MXXKQ/s12911-021-01534-6.html}
}

@article{heer_mosaic_2023,
  title = {Mosaic: {{An Architecture}} for {{Scalable}} \& {{Interoperable Data Views}}},
  author = {Heer, Jeffrey and Moritz, Dominik},
  date = {2023},
  journaltitle = {Private Communication and Early Access Provided to One Fact Foundation - Do Not Re-Cite},
  langid = {english},
  file = {/Users/me/Zotero/storage/PJP8BRDG/Heer and Moritz - Mosaic An Architecture for Scalable & Interoperab.pdf}
}

@online{heneghan_big_2019,
  title = {Big Is Not Always Beautiful: The {{Apple Heart Study}}},
  shorttitle = {Big Is Not Always Beautiful},
  author = {Heneghan, Carl},
  date = {2019-11-14T11:53:02+00:00},
  url = {https://catalogofbias.org/2019/11/14/big-is-not-always-beautiful-the-apple-heart-study/},
  urldate = {2022-10-10},
  abstract = {Ami Banerjee blogs about the Apple Heart Study and what the results mean What a gift. During our fourth away day working on the Catalogue of Bias resource, a systematic compendium of all the possible},
  langid = {english},
  organization = {{Catalog of Bias}},
  file = {/Users/me/Zotero/storage/SLZL847W/big-is-not-always-beautiful-the-apple-heart-study.html}
}

@book{hernan_causal_2022,
  title = {Causal {{Inference}}: {{What If}}},
  shorttitle = {Causal {{Inference}}},
  author = {family=Hernán, given=MA, given-i=MA and family=Robins, given=JM, given-i=JM},
  date = {2022},
  publisher = {{Chapman \& Hall/CRC.}},
  location = {{Boca Raton}},
  url = {https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/},
  urldate = {2022-10-10},
  abstract = {Causal inference is a complex scientific task that relies on combining evidence from multiple sources, and on the application of a variety of methodological approaches. Causal Inference\&\#58; What If is an introduction to causal inference when data are collected on each individual in...},
  langid = {english}
}

@incollection{hoang_spiderweb_2022,
  title = {Spiderweb {{Capitalism}}: {{How Global Elites Exploit Frontier Markets}}},
  shorttitle = {Spiderweb {{Capitalism}}},
  booktitle = {Spiderweb {{Capitalism}}},
  author = {Hoang, Kimberly Kay},
  date = {2022-09-06},
  publisher = {{Princeton University Press}},
  doi = {10.1515/9780691229102},
  url = {https://www.degruyter.com/document/doi/10.1515/9780691229102/html?lang=en},
  urldate = {2023-06-03},
  abstract = {A behind-the-scenes look at how the rich and powerful use offshore shell corporations to conceal their wealth and make themselves richer In 2015, the anonymous leak of the Panama Papers brought to light millions of financial and legal documents exposing how the superrich hide their money using complex webs of offshore vehicles. Spiderweb Capitalism takes you inside this shadow economy, uncovering the mechanics behind the invisible, mundane networks of lawyers, accountants, company secretaries, and fixers who facilitate the illicit movement of wealth across borders and around the globe. Kimberly Kay Hoang traveled more than 350,000 miles and conducted hundreds of in-depth interviews with private wealth managers, fund managers, entrepreneurs, C-suite executives, bankers, auditors, and other financial professionals. She traces the flow of capital from offshore funds in places like the Cayman Islands, Samoa, and Panama to special-purpose vehicles and holding companies in Singapore and Hong Kong, and how it finds its way into risky markets onshore in Vietnam and Myanmar. Hoang reveals the strategies behind spiderweb capitalism and examines the moral dilemmas of making money in legal, financial, and political gray zones. Dazzlingly written, Spiderweb Capitalism sheds critical light on how global elites capitalize on risky frontier markets, and deepens our understanding of the paradoxical ways in which global economic growth is sustained through states where the line separating the legal from the corrupt is not always clear.},
  isbn = {978-0-691-22910-2},
  langid = {english},
  keywords = {1Malaysia Development Berhad scandal,Accountant,Accounting,Alice Goffman,Anti-imperialism,Asset management,Auditor,Back office,Bank run,Behalf,Black market,Bribery,Brokerage firm,Bureaucrat,Burmese Way to Socialism,Business class,Business ethics,Capital Allocation,Capital Injection,Capitalism,Cess,Chief investment officer,Competitive landscape,Construction permit,Corporate tax,Corruption,Crony capitalism,Cronyism,Deprivatization,Devolution,Donald Trump,Economic capital,Economic power,Economics,Employment,Equity Market,Expense,Family office,Finance,Financial crisis of 2007–08,Foreign Account Tax Compliance Act,Foreign direct investment,Fraud,Frontier markets,Gresham's law,Group of Eleven,Growth capital,Insider,Internal financing,International business,International Consortium of Investigative Journalists,Investment,Investment company,Investment fund,Investment protection,Investor,Jho Low,Joint venture,Joseph Schumpeter,Kleptocracy,Law firm,Lawyer,LinkedIn,Market maker,Military dictatorship,Myanmar,National wealth fund,New Frontier,Next Eleven,Offshore financial centre,Offshore investment,Offshoring,Panama Papers,Partnership,Plausible deniability,Private equity,Real estate (Second Life),Shell corporation,Southeast Asia,Stanley O'Neal,State actor,State bank,Structuring,Succession planning,Tax,Tax avoidance,Tax evasion,Tax haven,Tax holiday,Tax incidence,Tax shift,The Other Hand,The Power Elite,Theft,Trade secret,Trade war,Transfer pricing,United States embargoes,Wealth management,Your Money}
}

@article{hochanadel_fixed_2015,
  title = {Fixed and {{Growth Mindset}} in {{Education}} and {{How Grit Helps Students Persist}} in the {{Face}} of {{Adversity}}},
  author = {Hochanadel, Aaron and Finamore, Dora},
  date = {2015},
  journaltitle = {Journal of International Education Research},
  volume = {11},
  number = {1},
  pages = {47--50},
  publisher = {{Clute Institute}},
  issn = {2158-0979},
  url = {https://eric.ed.gov/?id=EJ1051129},
  urldate = {2022-10-10},
  abstract = {Students face a wealth of challenges in college for example a lack of support, sometimes making it difficult to persevere. However, in an academic environment that teaches grit and fosters growth, students can learn to persist. Those who believe intelligence is fixed and cannot be changed exert less effort to succeed. Students who persevere when faced with challenges and adversity seem to have what Angela Duckworth calls, grit. This is the idea behind a growth mindset in learning according to Dweck (1999, 2007, 2010) and Duckworth, Peterson, Matthews, and Kelly (2007). Grit can be defined as "…passion and perseverance for long-term goals…" ("Frontiers In Psychology," 2014). One grit effect study was conducted in collaboration with the U.S. Army and the University of Pennsylvania to create predictors of retention. The purpose of this present work is to explore researched competencies related to persistence in reaching academic goals, review literature in grit and growth mindset related to learning and persistence, and examine what educators can do to foster grit and a growth mindset. Recommendations for increasing persistence and grit in college students will be provided.},
  langid = {english},
  keywords = {Academic Ability,Academic Persistence,Goal Orientation,Intelligence,Intelligence Quotient,Student Attitudes},
  file = {/Users/me/Zotero/storage/CI23BFQJ/Hochanadel and Finamore - 2015 - Fixed and Growth Mindset in Education and How Grit.pdf;/Users/me/Zotero/storage/NVVLDM5W/eric.ed.gov.html}
}

@incollection{holmes_fresh_2013,
  title = {Fresh {{Fruit}}, {{Broken Bodies}}: {{Migrant Farmworkers}} in the {{United States}}},
  shorttitle = {Fresh {{Fruit}}, {{Broken Bodies}}},
  booktitle = {Fresh {{Fruit}}, {{Broken Bodies}}},
  author = {Holmes, Seth M.},
  date = {2013-06-19},
  publisher = {{University of California Press}},
  doi = {10.1525/9780520954793},
  url = {https://www.degruyter.com/document/doi/10.1525/9780520954793/html?lang=en},
  urldate = {2023-05-26},
  abstract = {Fresh Fruit, Broken Bodies provides an intimate examination of the everyday lives and suffering of Mexican migrants in our contemporary food system. An anthropologist and MD in the mold of Paul Farmer and Didier Fassin, Holmes shows how market forces, anti-immigrant sentiment, and racism undermine health and health care. Holmes’s material is visceral and powerful. He trekked with his companions illegally through the desert into Arizona and was jailed with them before they were deported. He lived with indigenous families in the mountains of Oaxaca and in farm labor camps in the U.S., planted and harvested corn, picked strawberries, and accompanied sick workers to clinics and hospitals. This “embodied anthropology” deepens our theoretical understanding of the ways in which social inequalities and suffering come to be perceived as normal and natural in society and in health care. ~ All of the book award money and royalties from the sales of this book have been donated to farm worker unions, farm worker organizations and farm worker projects in consultation with farm workers who appear in the book.},
  isbn = {978-0-520-95479-3},
  langid = {english},
  keywords = {anthropologist,anthropology,arizona desert,biography,borderlands,crossing the border,cultural analysis,deportation,deported immigrants,embodied anthropology,farm labor camps,health and wellness,health care,human rights,immigration,immigration stories,memoir,mexican immigrants,oaxaca,social inequalities,us mexico relations}
}

@article{hripcsak_drawing_2021,
  title = {Drawing {{Reproducible Conclusions}} from {{Observational Clinical Data}} with {{OHDSI}}},
  author = {Hripcsak, George and Schuemie, Martijn J. and Madigan, David and Ryan, Patrick B. and Suchard, Marc A.},
  date = {2021-08},
  journaltitle = {Yearbook of Medical Informatics},
  shortjournal = {Yearb Med Inform},
  volume = {30},
  number = {1},
  eprint = {33882595},
  eprinttype = {pmid},
  pages = {283--289},
  issn = {0943-4747},
  doi = {10.1055/s-0041-1726481},
  url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416226/},
  urldate = {2023-05-19},
  abstract = {Objective : The current observational research literature shows extensive publication bias and contradiction. The Observational Health Data Sciences and Informatics (OHDSI) initiative seeks to improve research reproducibility through open science. , Methods : OHDSI has created an international federated data source of electronic health records and administrative claims that covers nearly 10\% of the world’s population. Using a common data model with a practical schema and extensive vocabulary mappings, data from around the world follow the identical format. OHDSI’s research methods emphasize reproducibility, with a large-scale approach to addressing confounding using propensity score adjustment with extensive diagnostics; negative and positive control hypotheses to test for residual systematic error; a variety of data sources to assess consistency and generalizability; a completely open approach including protocol, software, models, parameters, and raw results so that studies can be externally verified; and the study of many hypotheses in parallel so that the operating characteristics of the methods can be assessed. , Results : OHDSI has already produced findings in areas like hypertension treatment that are being incorporated into practice, and it has produced rigorous studies of COVID-19 that have aided government agencies in their treatment decisions, that have characterized the disease extensively, that have estimated the comparative effects of treatments, and that the predict likelihood of advancing to serious complications. , Conclusions : OHDSI practices open science and incorporates a series of methods to address reproducibility. It has produced important results in several areas, including hypertension therapy and COVID-19 research.},
  pmcid = {PMC8416226},
  file = {/Users/me/Zotero/storage/F3RNICKT/Hripcsak et al. - 2021 - Drawing Reproducible Conclusions from Observationa.pdf}
}

@online{huang_clinicalbert_2020,
  title = {{{ClinicalBERT}}: {{Modeling Clinical Notes}} and {{Predicting Hospital Readmission}}},
  shorttitle = {{{ClinicalBERT}}},
  author = {Huang, Kexin and Altosaar, Jaan and Ranganath, Rajesh},
  date = {2020-11-28},
  eprint = {1904.05342},
  eprinttype = {arxiv},
  eprintclass = {cs},
  doi = {10.48550/arXiv.1904.05342},
  url = {http://arxiv.org/abs/1904.05342},
  urldate = {2022-10-10},
  abstract = {Clinical notes contain information about patients that goes beyond structured data like lab values and medications. However, clinical notes have been underused relative to structured data, because notes are high-dimensional and sparse. This work develops and evaluates representations of clinical notes using bidirectional transformers (ClinicalBERT). ClinicalBERT uncovers high-quality relationships between medical concepts as judged by humans. ClinicalBert outperforms baselines on 30-day hospital readmission prediction using both discharge summaries and the first few days of notes in the intensive care unit. Code and model parameters are available.},
  pubstate = {preprint},
  keywords = {Computer Science - Computation and Language,Computer Science - Machine Learning},
  note = {Comment: CHIL 2020 Workshop},
  file = {/Users/me/Zotero/storage/SP4ZW8N5/Huang et al. - 2020 - ClinicalBERT Modeling Clinical Notes and Predicti.pdf;/Users/me/Zotero/storage/NUK8VVBW/1904.html}
}

@article{huang_clinicalbert_2020-1,
  title = {{{ClinicalBERT}}: {{Modeling}} Clinical Notes and Predicting Hospital Readmission},
  author = {Huang, Kexin and Altosaar, Jaan and Ranganath, Rajesh},
  date = {2020},
  journaltitle = {ACM Conference on Health, Inference, and Learning},
  url = {http://arxiv.org/abs/1904.05342},
  file = {/Users/me/Zotero/storage/ENXQEEU9/Huang et al. - 2020 - ClinicalBERT Modeling clinical notes and predicti.pdf}
}

@article{insel_research_2010,
  title = {Research {{Domain Criteria}} ({{RDoC}}): {{Toward}} a {{New Classification Framework}} for {{Research}} on {{Mental Disorders}}},
  shorttitle = {Research {{Domain Criteria}} ({{RDoC}})},
  author = {Insel, Thomas and Cuthbert, Bruce and Garvey, Marjorie and Heinssen, Robert and Pine, Daniel S. and Quinn, Kevin and Sanislow, Charles and Wang, Philip},
  date = {2010-07},
  journaltitle = {American Journal of Psychiatry},
  shortjournal = {AJP},
  volume = {167},
  number = {7},
  pages = {748--751},
  publisher = {{American Psychiatric Publishing}},
  issn = {0002-953X},
  doi = {10.1176/appi.ajp.2010.09091379},
  url = {https://ajp.psychiatryonline.org/doi/full/10.1176/appi.ajp.2010.09091379},
  urldate = {2023-05-19},
  file = {/Users/me/Zotero/storage/3HIRAXYN/Insel et al. - 2010 - Research Domain Criteria (RDoC) Toward a New Clas.pdf}
}

@article{johnson_mimic-iii_2016,
  title = {{{MIMIC-III}}, a Freely Accessible Critical Care Database},
  author = {Johnson, Alistair E. W. and Pollard, Tom J. and Shen, Lu and Lehman, Li-wei H. and Feng, Mengling and Ghassemi, Mohammad and Moody, Benjamin and Szolovits, Peter and Anthony Celi, Leo and Mark, Roger G.},
  date = {2016-05-24},
  journaltitle = {Scientific Data},
  shortjournal = {Sci Data},
  volume = {3},
  number = {1},
  pages = {160035},
  publisher = {{Nature Publishing Group}},
  issn = {2052-4463},
  doi = {10.1038/sdata.2016.35},
  url = {https://www.nature.com/articles/sdata201635},
  urldate = {2022-10-10},
  abstract = {MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and industrial research, quality improvement initiatives, and higher education coursework.},
  issue = {1},
  langid = {english},
  keywords = {Diagnosis,Health care,Medical research,Outcomes research,Prognosis},
  file = {/Users/me/Zotero/storage/LM87KSYK/Johnson et al. - 2016 - MIMIC-III, a freely accessible critical care datab.pdf}
}

@book{johnstone_impro_1987,
  title = {Impro: {{Improvisation}} and the {{Theatre}}},
  shorttitle = {Impro},
  author = {Johnstone, Keith},
  date = {1987-01-07},
  publisher = {{Routledge}},
  location = {{New York}},
  doi = {10.4324/9780203446294},
  abstract = {Keith Johnstone's involvement with the theatre began when George Devine and Tony Richardson, artistic directors of the Royal Court Theatre, commissioned a play from him. This was in 1956. A few years later he was himself Associate Artistic Director, working as a play-reader and director, in particular helping to run the Writers' Group. The improvisatory techniques and exercises evolved there to foster spontaneity and narrative skills were developed further in the actors' studio then in demonstrations to schools and colleges and ultimately in the founding of a company of performers, called The Theatre Machine.  Divided into four sections, 'Status', 'Spontaneity', 'Narrative Skills', and 'Masks and Trance', arranged more or less in the order a group might approach them, the book sets out the specific techniques and exercises which Johnstone has himself found most useful and most stimulating. The result is both an ideas book and a fascinating exploration of the nature of spontaneous creativity.},
  isbn = {978-0-203-44629-4},
  pagetotal = {208}
}

@article{jonas_could_2017,
  title = {Could a {{Neuroscientist Understand}} a {{Microprocessor}}?},
  author = {Jonas, Eric and Kording, Konrad Paul},
  date = {2017-01-12},
  journaltitle = {PLOS Computational Biology},
  shortjournal = {PLOS Computational Biology},
  volume = {13},
  number = {1},
  pages = {e1005268},
  publisher = {{Public Library of Science}},
  issn = {1553-7358},
  doi = {10.1371/journal.pcbi.1005268},
  url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005268},
  urldate = {2022-10-11},
  abstract = {There is a popular belief in neuroscience that we are primarily data limited, and that producing large, multimodal, and complex datasets will, with the help of advanced data analysis algorithms, lead to fundamental insights into the way the brain processes information. These datasets do not yet exist, and if they did we would have no way of evaluating whether or not the algorithmically-generated insights were sufficient or even correct. To address this, here we take a classical microprocessor as a model organism, and use our ability to perform arbitrary experiments on it to see if popular data analysis methods from neuroscience can elucidate the way it processes information. Microprocessors are among those artificial information processing systems that are both complex and that we understand at all levels, from the overall logical flow, via logical gates, to the dynamics of transistors. We show that the approaches reveal interesting structure in the data but do not meaningfully describe the hierarchy of information processing in the microprocessor. This suggests current analytic approaches in neuroscience may fall short of producing meaningful understanding of neural systems, regardless of the amount of data. Additionally, we argue for scientists using complex non-linear dynamical systems with known ground truth, such as the microprocessor as a validation platform for time-series and structure discovery methods.},
  langid = {english},
  keywords = {Behavior,Behavioral neuroscience,Computational neuroscience,Connectomics,Microprocessors,Neuronal tuning,Neurons,Neuroscience},
  file = {/Users/me/Zotero/storage/Y87B4RBY/Jonas and Kording - 2017 - Could a Neuroscientist Understand a Microprocessor.pdf}
}

@article{kotov_hierarchical_2017,
  title = {The {{Hierarchical Taxonomy}} of {{Psychopathology}} ({{HiTOP}}): {{A}} Dimensional Alternative to Traditional Nosologies.},
  shorttitle = {The {{Hierarchical Taxonomy}} of {{Psychopathology}} ({{HiTOP}})},
  author = {Kotov, Roman and Krueger, Robert F. and Watson, David and Achenbach, Thomas M. and Althoff, Robert R. and Bagby, R. Michael and Brown, Timothy A. and Carpenter, William T. and Caspi, Avshalom and Clark, Lee Anna and Eaton, Nicholas R. and Forbes, Miriam K. and Forbush, Kelsie T. and Goldberg, David and Hasin, Deborah and Hyman, Steven E. and Ivanova, Masha Y. and Lynam, Donald R. and Markon, Kristian and Miller, Joshua D. and Moffitt, Terrie E. and Morey, Leslie C. and Mullins-Sweatt, Stephanie N. and Ormel, Johan and Patrick, Christopher J. and Regier, Darrel A. and Rescorla, Leslie and Ruggero, Camilo J. and Samuel, Douglas B. and Sellbom, Martin and Simms, Leonard J. and Skodol, Andrew E. and Slade, Tim and South, Susan C. and Tackett, Jennifer L. and Waldman, Irwin D. and Waszczuk, Monika A. and Widiger, Thomas A. and Wright, Aidan G. C. and Zimmerman, Mark},
  date = {2017-05},
  journaltitle = {Journal of Abnormal Psychology},
  shortjournal = {Journal of Abnormal Psychology},
  volume = {126},
  number = {4},
  pages = {454--477},
  issn = {1939-1846, 0021-843X},
  doi = {10.1037/abn0000258},
  url = {http://doi.apa.org/getdoi.cfm?doi=10.1037/abn0000258},
  urldate = {2023-05-19},
  abstract = {This article introduces a new classification of mental illness, the Hierarchical Taxonomy Of Psychopathology (HiTOP). It aims to address several major shortcomings of traditional taxonomies and provide a better framework for researchers and clinicians.},
  langid = {english},
  file = {/Users/me/Zotero/storage/LURHGZA7/Kotov et al. - 2017 - The Hierarchical Taxonomy of Psychopathology (HiTO.pdf}
}

@article{lenhard_models_2006,
  title = {Models and {{Statistical Inference}}: {{The Controversy}} between {{Fisher}} and {{Neyman-Pearson}}},
  shorttitle = {Models and {{Statistical Inference}}},
  author = {Lenhard, Johannes},
  date = {2006},
  journaltitle = {The British Journal for the Philosophy of Science},
  volume = {57},
  number = {1},
  eprint = {3541653},
  eprinttype = {jstor},
  pages = {69--91},
  publisher = {{[Oxford University Press, The British Society for the Philosophy of Science]}},
  issn = {0007-0882},
  url = {https://www.jstor.org/stable/3541653},
  urldate = {2023-05-18},
  abstract = {The main thesis of the paper is that in the case of modern statistics, the differences between the various concepts of models were the key to its formative controversies. The mathematical theory of statistical inference was mainly developed by Ronald A. Fisher, Jerzy Neyman, and Egon S. Pearson. Fisher on the one side and Neyman-Pearson on the other were involved often in a polemic controversy. The common view is that Neyman and Pearson made Fisher's account more stringent mathematically. It is argued, however, that there is a profound theoretical basis for the controversy: both sides held conflicting views about the role of mathematical modelling. At the end, the influential programme of Exploratory Data Analysis is considered to be advocating another, more instrumental conception of models.}
}

@article{lett_health_2022,
  title = {Health~{{Equity Tourism}}: {{Ravaging}} the {{Justice Landscape}}},
  shorttitle = {Health~{{Equity Tourism}}},
  author = {Lett, Elle and Adekunle, Dalí and McMurray, Patrick and Asabor, Emmanuella Ngozi and Irie, Whitney and Simon, Melissa A. and Hardeman, Rachel and McLemore, Monica R.},
  date = {2022-02-12},
  journaltitle = {Journal of Medical Systems},
  shortjournal = {J Med Syst},
  volume = {46},
  number = {3},
  pages = {17},
  issn = {1573-689X},
  doi = {10.1007/s10916-022-01803-5},
  url = {https://doi.org/10.1007/s10916-022-01803-5},
  urldate = {2023-05-18},
  abstract = {As the long-standing and ubiquitous racial inequities of the United States reached national attention, the public health community has witnessed the rise of “health equity tourism”. This phenomenon is the process of previously unengaged investigators pivoting into health equity research without developing the necessary scientific expertise for high-quality work. In this essay, we define the phenomenon and provide an explanation of the antecedent conditions that facilitated its development. We also describe the consequences of health equity tourism – namely, recapitulating systems of inequity within the academy and the dilution of a landscape carefully curated by scholars who have demonstrated sustained commitments to equity research as a primary scientific discipline and praxis. Lastly, we provide a set of principles that can guide novice equity researchers to becoming community members rather than mere tourists of health equity.},
  langid = {english},
  keywords = {Health Equity,Health Justice,Racism,Systemic and Structural Discrimination}
}

@article{linderman_using_2017,
  title = {Using Computational Theory to Constrain Statistical Models of Neural Data},
  author = {Linderman, Scott W. and Gershman, Samuel J.},
  date = {2017-10},
  journaltitle = {Current opinion in neurobiology},
  shortjournal = {Curr Opin Neurobiol},
  volume = {46},
  eprint = {28732273},
  eprinttype = {pmid},
  pages = {14--24},
  issn = {0959-4388},
  doi = {10.1016/j.conb.2017.06.004},
  url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660645/},
  urldate = {2022-10-10},
  abstract = {Computational neuroscience is, to first order, dominated by two approaches: the “bottom-up” approach, which searches for statistical patterns in large-scale neural recordings, and the “top-down” approach, which begins with a theory of computation and considers plausible neural implementations. While this division is not clear-cut, we argue that these approaches should be much more intimately linked. From a Bayesian perspective, computational theories provide constrained prior distributions on neural data—albeit highly sophisticated ones. By connecting theory to observation via a probabilistic model, we provide the link necessary to test, evaluate, and revise our theories in a data-driven and statistically rigorous fashion. This review highlights examples of this theory-driven pipeline for neural data analysis in recent literature and illustrates it with a worked example based on the temporal difference learning model of dopamine.},
  pmcid = {PMC5660645},
  file = {/Users/me/Zotero/storage/Q3R9ECCU/Linderman and Gershman - 2017 - Using computational theory to constrain statistica.pdf}
}

@article{marr_vision_1982,
  title = {Vision: {{A}} Computational Investigation into the Human Representation and Processing of Visual Information},
  author = {Marr, D},
  date = {1982},
  journaltitle = {W.H. Freeman}
}

@book{mcgregor_asking_2016,
  title = {Asking {{Questions}} in {{Biology}}: {{A Guide}} to {{Hypothesis Testing}}, {{Experimental Design}} and {{Presentation}} in {{Practical Work}} and {{Research Projects}}},
  shorttitle = {Asking {{Questions}} in {{Biology}}},
  author = {Mcgregor, Peter and Barnard, Chris and Gilbert, Francis},
  date = {2016-11-17},
  eprint = {HcSCDQAAQBAJ},
  eprinttype = {googlebooks},
  publisher = {{Pearson Education}},
  abstract = {Asking and answering questions is the cornerstone of science, yet formal training in understanding this key process is often overlooked. Asking Questions in Biology unpacks this crucial process of enquiry, from a biological perspective, at its various stages.   The full text downloaded to your computer With eBooks you can:  search for key concepts, words and phrases  make highlights and notes as you study  share your notes with friends   eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.  Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.},
  isbn = {978-1-292-08602-6},
  langid = {english},
  pagetotal = {263},
  keywords = {Science / Life Sciences / Biology}
}

@online{mikkelsen_covid-19_2023,
  title = {{{COVID-19}}: {{Evaluation}} and Management of Adults with Persistent Symptoms Following Acute Illness ("{{Long COVID}}") - {{UpToDate}}},
  author = {Mikkelsen, Mark E and Abramoff, Benjamin},
  date = {2023},
  url = {https://www.uptodate.com/contents/covid-19-evaluation-and-management-of-adults-with-persistent-symptoms-following-acute-illness-long-covid},
  urldate = {2023-06-03},
  annotation = {:     Mark E Mikkelsen, MD, MSCE     Benjamin Abramoff, MD, MS},
  file = {/Users/me/Zotero/storage/T25U2LV6/covid-19-evaluation-and-management-of-adults-with-persistent-symptoms-following-acute-illness-l.html}
}

@article{mitchell_algorithmic_2021,
  title = {Algorithmic {{Fairness}}: {{Choices}}, {{Assumptions}}, and {{Definitions}}},
  shorttitle = {Algorithmic {{Fairness}}},
  author = {Mitchell, Shira and Potash, Eric and Barocas, Solon and D'Amour, Alexander and Lum, Kristian},
  date = {2021-03-07},
  journaltitle = {Annual Review of Statistics and Its Application},
  shortjournal = {Annu. Rev. Stat. Appl.},
  volume = {8},
  number = {1},
  pages = {141--163},
  issn = {2326-8298, 2326-831X},
  doi = {10.1146/annurev-statistics-042720-125902},
  url = {https://www.annualreviews.org/doi/10.1146/annurev-statistics-042720-125902},
  urldate = {2023-05-18},
  abstract = {A recent wave of research has attempted to define fairness quantitatively. In particular, this work has explored what fairness might mean in the context of decisions based on the predictions of statistical and machine learning models. The rapid growth of this new field has led to wildly inconsistent motivations, terminology, and notation, presenting a serious challenge for cataloging and comparing definitions. This article attempts to bring much-needed order. First, we explicate the various choices and assumptions made—often implicitly—to justify the use of prediction-based decision-making. Next, we show how such choices and assumptions can raise fairness concerns and we present a notationally consistent catalog of fairness definitions from the literature. In doing so, we offer a concise reference for thinking through the choices, assumptions, and fairness considerations of prediction-based decision-making.},
  langid = {english},
  file = {/Users/me/Zotero/storage/BAGMXUBL/Mitchell et al. - 2021 - Algorithmic Fairness Choices, Assumptions, and De.pdf}
}

@article{morton_grit_2019,
  title = {Grit},
  author = {Morton, Jennifer M. and Paul, Sarah K.},
  date = {2019-01},
  journaltitle = {Ethics},
  volume = {129},
  number = {2},
  pages = {175--203},
  publisher = {{The University of Chicago Press}},
  issn = {0014-1704},
  doi = {10.1086/700029},
  url = {https://www.journals.uchicago.edu/doi/abs/10.1086/700029},
  urldate = {2022-10-10},
  abstract = {As psychologists have emphasized, achieving difficult, long-term goals requires the capacity for perseverance, or “grit.” We argue that grit is distinct from familiar philosophical notions like willpower and continence. Specifically, grit has an important epistemic dimension: quitting is often caused by a loss of confidence that continued effort will result in success. Correspondingly, successful exercises of grit often involve “epistemic resilience” in the face of setbacks suggesting that success is not forthcoming. We argue that resilient reasoning can be epistemically rational to some extent, though it depends in part on whether the agent’s circumstances involve severe material scarcity or oppression.}
}

@article{mullainathan_solving_2022,
  title = {Solving Medicine’s Data Bottleneck: {{Nightingale Open Science}}},
  shorttitle = {Solving Medicine’s Data Bottleneck},
  author = {Mullainathan, Sendhil and Obermeyer, Ziad},
  date = {2022-05},
  journaltitle = {Nature Medicine},
  shortjournal = {Nat Med},
  volume = {28},
  number = {5},
  pages = {897--899},
  publisher = {{Nature Publishing Group}},
  issn = {1546-170X},
  doi = {10.1038/s41591-022-01804-4},
  url = {https://www.nature.com/articles/s41591-022-01804-4},
  urldate = {2022-10-10},
  abstract = {Open datasets, curated around unsolved medical problems, are vital to the development of computational research in medicine, but remain in short supply. Nightingale Open Science, a non-profit computing platform, was founded to catalyse research in this nascent field.},
  issue = {5},
  langid = {english},
  keywords = {Databases,Machine learning,Medical research},
  file = {/Users/me/Zotero/storage/KPS3DXHT/Mullainathan and Obermeyer - 2022 - Solving medicine’s data bottleneck Nightingale Op.pdf;/Users/me/Zotero/storage/KN35PQQV/s41591-022-01804-4.html}
}

@online{noauthor_apache_nodate,
  title = {Apache {{License}}, {{Version}} 2.0},
  url = {https://www.apache.org/licenses/LICENSE-2.0},
  urldate = {2023-05-19},
  file = {/Users/me/Zotero/storage/SDHBP3Y7/LICENSE-2.html}
}

@online{noauthor_apache_nodate-1,
  title = {Apache {{Superset}}},
  url = {https://superset.apache.org/},
  urldate = {2023-05-19},
  abstract = {Community website for Apache Superset, a data visualization and data exploration platform},
  langid = {english},
  file = {/Users/me/Zotero/storage/HGIBHX6L/superset.apache.org.html}
}

@online{noauthor_build_nodate,
  title = {Build Software Better, Together},
  url = {https://github.com},
  urldate = {2022-10-10},
  abstract = {GitHub is where people build software. More than 83 million people use GitHub to discover, fork, and contribute to over 200 million projects.},
  langid = {english},
  organization = {{GitHub}}
}

@online{noauthor_childfx_2023,
  title = {{{ChildFx}} ({{Soft}} Launch; Submission under Review)},
  date = {2023},
  url = {https://childfx.com/},
  urldate = {2023-05-19},
  file = {/Users/me/Zotero/storage/IN43YR76/childfx.com.html}
}

@online{noauthor_dbt_nodate,
  title = {Dbt},
  url = {https://www.getdbt.com/},
  urldate = {2023-05-19},
  abstract = {Use dbt to build reliable data models quickly and collaboratively—featuring version control, automated documentation, and integrated testing.},
  langid = {american},
  organization = {{Transform data in your warehouse}}
}

@online{noauthor_diagnostic_nodate,
  title = {Diagnostic and {{Statistical Manual}} of {{Mental Disorders}}},
  url = {https://dsm.psychiatryonline.org/doi/book/10.1176/appi.books.9780890425787},
  urldate = {2023-05-19},
  langid = {english},
  organization = {{DSM Library}}
}

@online{noauthor_dolthub_nodate,
  title = {{{DoltHub}}},
  url = {https://www.dolthub.com/},
  urldate = {2022-10-10},
  abstract = {DoltHub is where people collaboratively build, manage, and distribute structured data.},
  langid = {english},
  organization = {{DoltHub}},
  file = {/Users/me/Zotero/storage/N62ZBDCV/www.dolthub.com.html}
}

@online{noauthor_dr_nodate,
  title = {Dr. {{Jaan Altosaar}}},
  url = {https://jaan.io/},
  urldate = {2022-10-09},
  abstract = {Machine learning for health \& science at Columbia University.},
  organization = {{Jaan Altosaar}},
  file = {/Users/me/Zotero/storage/C8CZPUY7/jaan.io.html}
}

@online{noauthor_drawio_nodate,
  title = {Drawio},
  url = {https://www.diagrams.net/},
  urldate = {2022-10-10}
}

@online{noauthor_even_2021,
  title = {Even in the {{U}}.{{S}}. He Couldn't Escape the Label 'Untouchable'},
  date = {2021-07-04T10:00:45.902},
  url = {https://www.latimes.com/world-nation/story/2021-07-04/fight-to-add-caste-as-protected-category-in-us},
  urldate = {2022-10-12},
  abstract = {Prem Pariyar fled Nepal only to encounter caste discrimination in the U.S. A survey shows Dalits have faced assaults and discrimination at universities, tech firms and more.},
  langid = {american},
  organization = {{Los Angeles Times}}
}

@online{noauthor_hmntycntrd_nodate,
  title = {{{HmntyCntrd}}},
  url = {https://hmntycntrd.com},
  urldate = {2022-10-09},
  abstract = {HmntyCntrd® is an award-winning organization that's committed to transforming the status quo of being human-centered through courses, community, and consulting.}
}

@online{noauthor_jj_nodate,
  title = {J\&{{J}} Knew for Decades That Asbestos Lurked in Its {{Baby Powder}}},
  url = {https://www.reuters.com/investigates/special-report/johnsonandjohnson-cancer/},
  urldate = {2023-06-03},
  file = {/Users/me/Zotero/storage/U826HR7W/johnsonandjohnson-cancer.html}
}

@online{noauthor_medical_nodate,
  title = {Medical {{Apartheid}} by {{Harriet A}}. {{Washington}}: 9780767915472 | {{PenguinRandomHouse}}.Com: {{Books}}},
  shorttitle = {Medical {{Apartheid}} by {{Harriet A}}. {{Washington}}},
  url = {https://www.penguinrandomhouse.com/books/185986/medical-apartheid-by-harriet-a-washington/},
  urldate = {2023-06-01},
  abstract = {NATIONAL BOOK CRITICS CIRCLE AWARD WINNER~• The first full history of Black America’s shocking mistreatment as unwilling and unwitting experimental subjects at the hands of the medical...},
  langid = {american},
  organization = {{PenguinRandomhouse.com}},
  file = {/Users/me/Zotero/storage/A2EFBYT4/medical-apartheid-by-harriet-a-washington.html}
}

@online{noauthor_mermaid_nodate,
  title = {Mermaid},
  url = {https://mermaid-js.github.io},
  urldate = {2022-10-10},
  file = {/Users/me/Zotero/storage/WY8MGSNF/mermaid.html}
}

@online{noauthor_style_nodate,
  title = {Style: {{Lessons}} in {{Clarity}} and {{Grace}}},
  url = {https://www.pearson.com/en-us/subject-catalog/p/style-lessons-in-clarity-and-grace/P200000002140/9780137536603?tab=table-of-contents},
  urldate = {2023-06-09},
  file = {/Users/me/Zotero/storage/Y2773UC3/9780137536603.html}
}

@online{noauthor_tableau_nodate,
  title = {Tableau: {{Business Intelligence}} and {{Analytics Software}}},
  shorttitle = {Tableau},
  url = {https://www.tableau.com/node/62770},
  urldate = {2023-05-19},
  abstract = {Tableau is visual analytics software for business intelligence. See and understand any data with Tableau.},
  langid = {american},
  organization = {{Tableau}},
  file = {/Users/me/Zotero/storage/9HDHTBDB/www.tableau.com.html}
}

@online{noauthor_talking_nodate,
  title = {Talking {{Machines}}},
  url = {https://www.thetalkingmachines.com/},
  urldate = {2022-10-08},
  file = {/Users/me/Zotero/storage/JE8U96QR/www.thetalkingmachines.com.html}
}

@online{noauthor_what_nodate,
  title = {What We Talk about When We Talk about Colors | {{PNAS}}},
  url = {https://www.pnas.org/doi/10.1073/pnas.2109237118},
  urldate = {2023-05-26},
  file = {/Users/me/Zotero/storage/X6JD6HGF/pnas.html}
}

@online{noauthor_zenodo_nodate,
  title = {Zenodo},
  url = {https://zenodo.org},
  urldate = {2022-10-10},
  abstract = {DoltHub is where people collaboratively build, manage, and distribute structured data.},
  langid = {english},
  organization = {{Zenodo}}
}

@online{ochigame_how_2019,
  title = {How {{Big Tech Manipulates Academia}} to {{Avoid Regulation}}},
  author = {Ochigame, Rodrigo},
  date = {2019-12-20T18:19:05+00:00},
  url = {https://theintercept.com/2019/12/20/mit-ethical-ai-artificial-intelligence/},
  urldate = {2023-05-26},
  abstract = {“AI ethics” is a field that barely existed before 2017. It’s become a Silicon Valley-led lobby to avoid legal restrictions of controversial technologies.},
  langid = {american},
  organization = {{The Intercept}},
  file = {/Users/me/Zotero/storage/VECAR8QN/mit-ethical-ai-artificial-intelligence.html}
}

@online{odell_no_2017,
  title = {No Such Thing as a Free Watch},
  author = {Odell, Jenny},
  date = {2017},
  url = {https://www.jennyodell.com/free-watch.html},
  urldate = {2023-06-03},
  abstract = {an investigation into a crappy dropshipped watch}
}

@article{ogle_time_2019,
  title = {Time, {{Temporality}} and the {{History}} of {{Capitalism}}},
  author = {Ogle, Vanessa},
  date = {2019-05-01},
  journaltitle = {Past \& Present},
  shortjournal = {Past \& Present},
  volume = {243},
  number = {1},
  pages = {312--327},
  issn = {0031-2746},
  doi = {10.1093/pastj/gtz014},
  url = {https://doi.org/10.1093/pastj/gtz014},
  urldate = {2023-06-03},
  abstract = {The year 2017 marked the fiftieth anniversary of the publication of E. P. Thompson’s landmark article ‘Time, Work-Discipline, and Industrial Capitalism’ in the pages of this journal. At currently 4,298 citations on Google Scholar, it is one of the most frequently cited articles in the field of history.1 Although ostensibly about work and industrial labour in particular, the appeal of Thompson’s suggestive piece has extended far beyond a more narrowly defined labour history, into cultural history and general problems concerning the period since the eighteenth century, of life under Enlightenment rationalism and capitalist modernity. In any case, E. P. Thompson’s article established the centrality of time for understanding the logic of capitalism. Thanks to the broad, overarching questions it raised, even non-Marxists could safely feel compelled.}
}

@software{ohdsi_observational_2023,
  title = {Observational {{Medical Outcomes Partnership Common Data Model Standard}} for {{Payless Health}}},
  author = {OHDSI},
  date = {2023},
  url = {https://github.com/OHDSI/CommonDataModel/tree/payless_health}
}

@online{orwell_politics_1946,
  title = {Politics and the {{English Language}} | {{The Orwell Foundation}}},
  author = {Orwell, George},
  date = {1946},
  url = {https://www.orwellfoundation.com/the-orwell-foundation/orwell/essays-and-other-works/politics-and-the-english-language/},
  urldate = {2023-05-26},
  langid = {british}
}

@article{porter_predictors_2022,
  title = {Predictors and Consequences of Intellectual Humility},
  author = {Porter, Tenelle and Elnakouri, Abdo and Meyers, Ethan A. and Shibayama, Takuya and Jayawickreme, Eranda and Grossmann, Igor},
  date = {2022-09},
  journaltitle = {Nature Reviews Psychology},
  shortjournal = {Nat Rev Psychol},
  volume = {1},
  number = {9},
  pages = {524--536},
  publisher = {{Nature Publishing Group}},
  issn = {2731-0574},
  doi = {10.1038/s44159-022-00081-9},
  url = {https://www.nature.com/articles/s44159-022-00081-9},
  urldate = {2022-10-10},
  abstract = {In a time of societal acrimony, psychological scientists have turned to a possible antidote — intellectual humility. Interest in intellectual humility comes from diverse research areas, including researchers studying leadership and organizational behaviour, personality science, positive psychology, judgement and decision-making, education, culture, and intergroup and interpersonal relationships. In this Review, we synthesize empirical approaches to the study of intellectual humility. We critically examine diverse approaches to defining and measuring intellectual humility and identify the common element: a meta-cognitive ability to recognize the limitations of one’s beliefs and knowledge. After reviewing the validity of different measurement approaches, we highlight factors that influence intellectual humility, from relationship security to social coordination. Furthermore, we review empirical evidence concerning the benefits and drawbacks of intellectual humility for personal decision-making, interpersonal relationships, scientific enterprise and society writ large. We conclude by outlining initial attempts to boost intellectual humility, foreshadowing possible scalable interventions that can turn intellectual humility into a core interpersonal, institutional and cultural value.},
  issue = {9},
  langid = {english},
  keywords = {Human behaviour,Psychology,Social behaviour},
  file = {/Users/me/Zotero/storage/GH399KTK/Porter et al. - 2022 - Predictors and consequences of intellectual humili.pdf;/Users/me/Zotero/storage/VI4GRENT/s44159-022-00081-9.html}
}

@inproceedings{raasveldt_duckdb_2019,
  title = {{{DuckDB}}: An {{Embeddable Analytical Database}}},
  shorttitle = {{{DuckDB}}},
  booktitle = {Proceedings of the 2019 {{International Conference}} on {{Management}} of {{Data}}},
  author = {Raasveldt, Mark and Mühleisen, Hannes},
  date = {2019-06-25},
  pages = {1981--1984},
  publisher = {{ACM}},
  location = {{Amsterdam Netherlands}},
  doi = {10.1145/3299869.3320212},
  url = {https://dl.acm.org/doi/10.1145/3299869.3320212},
  urldate = {2023-05-19},
  abstract = {The great popularity of SQLite shows that there is a need for unobtrusive in-process data management solutions. However, there is no such system yet geared towards analytical workloads. We demonstrate DuckDB, a novel data management system designed to execute analytical SQL queries while embedded in another process. In our demonstration, we pit DuckDB against other data management solutions to showcase its performance in the embedded analytics scenario. DuckDB is available as Open Source software under a permissive license.},
  eventtitle = {{{SIGMOD}}/{{PODS}} '19: {{International Conference}} on {{Management}} of {{Data}}},
  isbn = {978-1-4503-5643-5},
  langid = {english},
  file = {/Users/me/Zotero/storage/HDGDVTFY/Raasveldt and Mühleisen - 2019 - DuckDB an Embeddable Analytical Database.pdf}
}

@article{ranehill_assessing_2015,
  title = {Assessing the {{Robustness}} of {{Power Posing}}: {{No Effect}} on {{Hormones}} and {{Risk Tolerance}} in a {{Large Sample}} of {{Men}} and {{Women}}},
  author = {Ranehill, Eva and Dreber, Anna and Johanesson, Magnus and Leiberg, Susanne and Sul, Sunhae and Weber, Roberto},
  date = {2015},
  journaltitle = {Psychological Science},
  url = {https://journals.sagepub.com/doi/abs/10.1177/0956797614553946},
  urldate = {2022-10-10},
  abstract = {Eva Ranehill, Anna Dreber, Magnus Johannesson, Susanne Leiberg, Sunhae Sul, Roberto A. Weber, 2015}
}

@article{sankar_precision_2017,
  title = {The {{Precision Medicine Initiative}}’s {{All}} of {{Us Research Program}}: An Agenda for Research on Its Ethical, Legal, and Social Issues},
  shorttitle = {The {{Precision Medicine Initiative}}’s {{All}} of {{Us Research Program}}},
  author = {Sankar, Pamela L. and Parker, Lisa S.},
  date = {2017-07},
  journaltitle = {Genetics in Medicine},
  shortjournal = {Genet Med},
  volume = {19},
  number = {7},
  pages = {743--750},
  publisher = {{Nature Publishing Group}},
  issn = {1530-0366},
  doi = {10.1038/gim.2016.183},
  url = {https://www.nature.com/articles/gim2016183},
  urldate = {2022-10-10},
  abstract = {The Precision Medicine Initiative (PMI) is an innovative approach to developing a new model of health care that takes into account individual differences in people’s genes, environments, and lifestyles. A cornerstone of the initiative is the PMI All of Us Research Program (formerly known as PMI-Cohort Program) which will create a cohort of 1 million volunteers who will contribute their health data and biospecimens to a centralized national database to support precision medicine research. The PMI All of US Research Program is the largest longitudinal study in the history of the United States. The designers of the Program anticipated and addressed some of the ethical, legal, and social issues (ELSI) associated with the initiative. To date, however, there is no plan to call for research regarding ELSI associated with the Program-PMI All of Us program. Based on analysis of National Institutes of Health (NIH) funding announcements for the PMI All of Us program, we have identified three ELSI themes: cohort diversity and health disparities, participant engagement, and privacy and security. We review All of Us Research Program plans to address these issues and then identify additional ELSI within each domain that warrant ongoing investigation as the All of Us Research Program develops. We conclude that PMI's All of Us Research Program represents a significant opportunity and obligation to identify, analyze, and respond to ELSI, and we call on the PMI to initiate a research program capable of taking on these challenges.},
  issue = {7},
  langid = {english},
  keywords = {Medical ethics,Medical genetics,Personalized medicine,Quality of life},
  file = {/Users/me/Zotero/storage/U8TLM7PU/Sankar and Parker - 2017 - The Precision Medicine Initiative’s All of Us Rese.pdf}
}

@book{shalizi_advanced_2021,
  title = {Advanced {{Data Analysis}} from an {{Elementary Point}} of {{View}}},
  author = {Shalizi, Cosma},
  date = {2021},
  url = {https://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/},
  urldate = {2022-10-10}
}

@online{somers_youre_2014,
  title = {You’re Probably Using the Wrong Dictionary « the Jsomers.Net Blog},
  author = {Somers, James},
  date = {2014},
  url = {https://jsomers.net/blog/dictionary},
  urldate = {2023-05-26},
  langid = {american},
  file = {/Users/me/Zotero/storage/9G7NB6RF/dictionary.html}
}

@online{stahl_english_2023,
  title = {English in the {{Real World}}},
  author = {Stahl, Dan},
  date = {2023-01-03T12:00:43+00:00},
  url = {https://themillions.com/2023/01/english-in-the-real-world.html},
  urldate = {2023-05-26},
  abstract = {As impressive as his conversance with English history is Garner’s awareness of present-day trends. The “like” entry notes not only traditional uses of...},
  langid = {american},
  organization = {{The Millions}},
  file = {/Users/me/Zotero/storage/F9LRUQA7/english-in-the-real-world.html}
}

@book{stein_real_2005,
  title = {Real {{Analysis}}: {{Measure Theory}}, {{Integration}}, and {{Hilbert Spaces}}},
  shorttitle = {Real {{Analysis}}},
  author = {Stein, Elias M. and Shakarchi, Rami},
  date = {2005},
  eprint = {j.ctvd58v18},
  eprinttype = {jstor},
  publisher = {{Princeton University Press}},
  doi = {10.2307/j.ctvd58v18},
  url = {https://www.jstor.org/stable/j.ctvd58v18},
  urldate = {2022-10-11},
  abstract = {\emph{Real Analysis}  is the third volume in the Princeton Lectures in Analysis, a series of four textbooks that aim to present, in an integrated manner, the core areas of analysis. Here the focus is on the development of measure and integration theory, differentiation and integration, Hilbert spaces, and Hausdorff measure and fractals. This book reflects the objective of the series as a whole: to make plain the organic unity that exists between the various parts of the subject, and to illustrate the wide applicability of ideas of analysis to other fields of mathematics and science.     After setting forth the basic facts of measure theory, Lebesgue integration, and differentiation on Euclidian spaces, the authors move to the elements of Hilbert space, via the L2 theory. They next present basic illustrations of these concepts from Fourier analysis, partial differential equations, and complex analysis. The final part of the book introduces the reader to the fascinating subject of fractional-dimensional sets, including Hausdorff measure, self-replicating sets, space-filling curves, and Besicovitch sets. Each chapter has a series of exercises, from the relatively easy to the more complex, that are tied directly to the text. A substantial number of hints encourage the reader to take on even the more challenging exercises.     As with the other volumes in the series,  \emph{Real Analysis}  is accessible to students interested in such diverse disciplines as mathematics, physics, engineering, and finance, at both the undergraduate and graduate levels.     Also available, the first two volumes in the Princeton Lectures in Analysis:},
  isbn = {978-0-691-11386-9}
}

@article{storey_statistical_2003,
  title = {Statistical Significance for Genomewide Studies},
  author = {Storey, John D. and Tibshirani, Robert},
  date = {2003-08-05},
  journaltitle = {Proceedings of the National Academy of Sciences},
  volume = {100},
  number = {16},
  pages = {9440--9445},
  publisher = {{Proceedings of the National Academy of Sciences}},
  doi = {10.1073/pnas.1530509100},
  url = {https://www.pnas.org/doi/10.1073/pnas.1530509100},
  urldate = {2022-10-10},
  file = {/Users/me/Zotero/storage/TNVI5V3Q/Storey and Tibshirani - 2003 - Statistical significance for genomewide studies.pdf}
}

@online{sun_assessing_2022,
  title = {Assessing {{Phenotype Definitions}} for {{Algorithmic Fairness}}},
  author = {Sun, Tony Y. and Bhave, Shreyas and Altosaar, Jaan and Elhadad, Noémie},
  date = {2022-08-27},
  eprint = {2203.05174},
  eprinttype = {arxiv},
  eprintclass = {cs, q-bio},
  doi = {10.48550/arXiv.2203.05174},
  url = {http://arxiv.org/abs/2203.05174},
  urldate = {2022-10-12},
  abstract = {Disease identification is a core, routine activity in observational health research. Cohorts impact downstream analyses, such as how a condition is characterized, how patient risk is defined, and what treatments are studied. It is thus critical to ensure that selected cohorts are representative of all patients, independently of their demographics or social determinants of health. While there are multiple potential sources of bias when constructing phenotype definitions which may affect their fairness, it is not standard in the field of phenotyping to consider the impact of different definitions across subgroups of patients. In this paper, we propose a set of best practices to assess the fairness of phenotype definitions. We leverage established fairness metrics commonly used in predictive models and relate them to commonly used epidemiological cohort description metrics. We describe an empirical study for Crohn's disease and diabetes type 2, each with multiple phenotype definitions taken from the literature across two sets of patient subgroups (gender and race). We show that the different phenotype definitions exhibit widely varying and disparate performance according to the different fairness metrics and subgroups. We hope that the proposed best practices can help in constructing fair and inclusive phenotype definitions.},
  pubstate = {preprint},
  keywords = {Computer Science - Artificial Intelligence,Computer Science - Machine Learning,Quantitative Biology - Other Quantitative Biology},
  note = {Comment: American Medical Informatics Association (AMIA) 2022 - Accepted paper and presentation Conference on Health, Inference, and Learning (CHIL) 2022 - Invited non-archival presentation},
  file = {/Users/me/Zotero/storage/CSH4PYBR/Sun et al. - 2022 - Assessing Phenotype Definitions for Algorithmic Fa.pdf;/Users/me/Zotero/storage/5YXFVJ56/2203.html}
}

@book{tutuola_palm-wine_1994,
  title = {The {{Palm-Wine Drinkard}} and {{My Life}} in the {{Bush}} of {{Ghosts}}},
  author = {Tutuola, Amos},
  date = {1994},
  publisher = {{Grove Paperback Page Count}},
  url = {https://groveatlantic.com/book/the-palm-wine-drinkard-and-my-life-in-the-bush-of-ghosts/},
  urldate = {2023-05-26},
  isbn = {978-0-8021-3363-2},
  langid = {english},
  file = {/Users/me/Zotero/storage/ZFEZHAHK/the-palm-wine-drinkard-and-my-life-in-the-bush-of-ghosts.html}
}

@article{twomey_what_2021,
  title = {What We Talk about When We Talk about Colors},
  author = {Twomey, Colin R. and Roberts, Gareth and Brainard, David H. and Plotkin, Joshua B.},
  date = {2021-09-28},
  journaltitle = {Proceedings of the National Academy of Sciences},
  volume = {118},
  number = {39},
  pages = {e2109237118},
  publisher = {{Proceedings of the National Academy of Sciences}},
  doi = {10.1073/pnas.2109237118},
  url = {https://www.pnas.org/doi/full/10.1073/pnas.2109237118},
  urldate = {2023-06-03},
  abstract = {Names for colors vary widely across languages, but color categories are remarkably consistent. Shared mechanisms of color perception help explain consistent partitions of visible light into discrete color vocabularies. But the mappings from colors to words are not identical across languages, which may reflect communicative needs—how often speakers must refer to objects of different color. Here we quantify the communicative needs of colors in 130 different languages by developing an inference algorithm for this problem. We find that communicative needs are not uniform: Some regions of color space exhibit 30-fold greater demand for communication than other regions. The regions of greatest demand correlate with the colors of salient objects, including ripe fruits in primate diets. Our analysis also reveals a hidden diversity in the communicative needs of colors across different languages, which is partly explained by differences in geographic location and the local biogeography of linguistic communities. Accounting for language-specific, nonuniform communicative needs improves predictions for how a language maps colors to words, and how these mappings vary across languages. Our account closes an important gap in the compression theory of color naming, while opening directions to study cross-cultural variation in the need to communicate different colors and its impact on the cultural evolution of color categories.},
  file = {/Users/me/Zotero/storage/KTVXQ6UG/Twomey et al. - 2021 - What we talk about when we talk about colors.pdf}
}

@article{villarreal_logistics_2022,
  title = {The Logistics of Fear: Violence and the Stratifying Power of Emotion},
  shorttitle = {The Logistics of Fear},
  author = {Villarreal, Ana},
  date = {2022-11-01},
  journaltitle = {Emotions and Society},
  volume = {4},
  number = {3},
  pages = {290--306},
  publisher = {{Bristol University Press}},
  issn = {2631-6897, 2631-6900},
  doi = {10.1332/263169021X16518516966303},
  url = {https://bristoluniversitypressdigital.com/view/journals/emsoc/4/3/article-p290.xml},
  urldate = {2023-06-03},
  abstract = {This article contributes to growing sociological interest in theorising fear by providing cross-class evidence of what people do when they are afraid and how their emotion strategies matter for broader inequalities. Drawing on and extending pragmatist approaches to the study of emotion, I conceptualise the logistics of fear as the strategies that people employ to manage fear when prompted by a large-scale threat at the societal level. I argue that fear in such contexts can quickly exacerbate inequality by means of the unequal resources people draw on to solve or manage fear on a daily basis. Drawing on qualitative fieldwork conducted in the midst of a violent criminal war in urban Mexico, I trace the restructuring of metropolitan nightlife as a three-stage process: destruction, dispersion, and classed re-concentration. Attention to classed variations in emotion strategies over time provides evidence of the destructive and creative facets of fear, as well as of its stratifying power. More broadly, this research puts forth a pragmatist approach to the study of emotion that centres emotion as a problem and social process.},
  langid = {english},
  file = {/Users/me/Zotero/storage/9YDUMII6/Villarreal - 2022 - The logistics of fear violence and the stratifyin.pdf}
}

@article{wallace_democracy_2001,
  title = {Democracy, {{English}}, and the {{Wars}} over {{Usage}}},
  author = {Wallace, David Foster},
  date = {2001},
  journaltitle = {Harper's Magazine},
  langid = {english},
  file = {/Users/me/Zotero/storage/QICB6LKD/Wallace et al. - Democracy, English, and the Wars over Usage.pdf}
}

@article{wang_genome-wide_2005,
  title = {Genome-Wide Association Studies: Theoretical and Practical Concerns},
  shorttitle = {Genome-Wide Association Studies},
  author = {Wang, William Y. S. and Barratt, Bryan J. and Clayton, David G. and Todd, John A.},
  date = {2005-02},
  journaltitle = {Nature Reviews Genetics},
  shortjournal = {Nat Rev Genet},
  volume = {6},
  number = {2},
  pages = {109--118},
  publisher = {{Nature Publishing Group}},
  issn = {1471-0064},
  doi = {10.1038/nrg1522},
  url = {https://www.nature.com/articles/nrg1522},
  urldate = {2022-10-10},
  abstract = {Recent improvements in genotyping technology and in our knowledge of human genetic variation have made it possible to carry out genome-wide genetic association studies to identify susceptibility genes for common disease. However, before such studies are undertaken, it is important to know what proportion of human genetic variation they are likely to survey and what the likely costs will be per true-positive result.The allelic spectrum of complex diseases — that is, the range of the frequencies and effect sizes of susceptibility loci —will influence the success of genome-wide association studies. Large sample sizes will be required to search even the most accessible end of this spectrum: that is, alleles with population allele frequencies exceeding 0.1 and with odds ratios of 1.3 and above.The existence of extensive regions of linkage disequilibrium in the human genome will greatly reduce the cost of genotyping in genome-wide association studies, as this allows the use of tag SNPs that provide information on a number of other SNPs that are not directly genotyped.However, as much as 30\% of the common variants in the genome remains unknown and the latest high-throughput technologies convert only about 50\% of SNPs into robust assays. In addition, extensive resequencing and genotyping will have to be carried out to ensure that SNPs in regions of low linkage disequilibrium are surveyed comprehensively.Other factors that need to be taken into account in the design and execution of initial genome-wide association studies, to avoid loss of statistical power, include possible selection bias, population substructure and misclassification errors.},
  issue = {2},
  langid = {english},
  keywords = {Agriculture,Animal Genetics and Genomics,Biomedicine,Cancer Research,Gene Function,general,Human Genetics}
}

@book{washington_medical_2006,
  title = {Medical {{Apartheid}}: {{The Dark History}} of {{Medical Experimentation}} on {{Black Americans}} from {{Colonial Times}} to the {{Present}}},
  shorttitle = {Medical {{Apartheid}}},
  author = {Washington, Harriet A.},
  date = {2006},
  publisher = {{Doubleday}},
  abstract = {From the era of slavery to the present day, the first full history of black America's shocking mistreatment as unwilling and unwitting experimental subjects at the hands of the medical establishment. "Medical Apartheid" is the first and only comprehensive history of medical experimentation on African Americans. Starting with the earliest encounters between black Americans and Western medical researchers and the racist pseudoscience that resulted, it details the ways both slaves and freedmen were used in hospitals for experiments conducted without their knowledge--a tradition that continues today within some black populations. It reveals how blacks have historically been prey to grave-robbing as well as unauthorized autopsies and dissections. Moving into the twentieth century, it shows how the pseudoscience of eugenics and social Darwinism was used to justify experimental exploitation and shoddy medical treatment of blacks, and the view that they were biologically inferior, oversexed, and unfit for adult responsibilities. Shocking new details about the government's notorious Tuskegee experiment are revealed, as are similar, less-well-known medical atrocities conducted by the government, the armed forces, prisons, and private institutions. The product of years of prodigious research into medical journals and experimental reports long undisturbed, "Medical Apartheid" reveals the hidden underbelly of scientific research and makes possible, for the first time, an understanding of the roots of the African American health deficit. At last, it provides the fullest possible context for comprehending the behavioral fallout that has caused black Americans to view researchers--and indeed the whole medical establishment--with such deep distrust. No one concerned with issues of public health and racial justice can afford not to read "Medical Apartheid," a masterful book that will stir up both controversy and long-needed debate.},
  isbn = {978-0-385-50993-0},
  langid = {english},
  pagetotal = {522}
}

@incollection{williams_hip-hop_2015,
  title = {Hip-Hop and Politics},
  booktitle = {The {{Cambridge Companion}} to {{Hip-Hop}}},
  author = {Deis, Christopher},
  editor = {Williams, Justin A.},
  date = {2015},
  series = {Cambridge {{Companions}} to {{Music}}},
  pages = {192--205},
  publisher = {{Cambridge University Press}},
  location = {{Cambridge}},
  doi = {10.1017/CCO9781139775298.017},
  url = {https://www.cambridge.org/core/books/cambridge-companion-to-hiphop/hiphop-and-politics/7E3CC4434240965E43DFA933BFF06CAD},
  urldate = {2023-05-26},
  isbn = {978-1-107-03746-5},
  file = {/Users/me/Zotero/storage/J25ID47D/7E3CC4434240965E43DFA933BFF06CAD.html}
}

@online{zarya_nourishment_2023,
  title = {Nourishment},
  author = {Zarya, Marina},
  date = {2023},
  url = {https://www.thenourishmentproject.com},
  urldate = {2023-06-03},
  langid = {american},
  organization = {{Nourishment}}
}

@online{zelko_developing_2023,
  title = {Developing a {{Robust Computable Phenotype Definition Workflow}} to {{Describe Health}} and {{Disease}} in {{Observational Health Research}}},
  author = {Zelko, Jacob S. and Gasman, Sarah and Freeman, Shenita R. and Lee, Dong Yun and Altosaar, Jaan and Shoaibi, Azza and Rao, Gowtham},
  date = {2023-03-30},
  eprint = {2304.06504},
  eprinttype = {arxiv},
  eprintclass = {cs},
  doi = {10.48550/arXiv.2304.06504},
  url = {http://arxiv.org/abs/2304.06504},
  urldate = {2023-05-19},
  abstract = {Health informatics can inform decisions that practitioners, patients, policymakers, and researchers need to make about health and disease. Health informatics is built upon patient health data leading to the need to codify patient health information. Such standardization is required to compute population statistics (such as prevalence, incidence, etc.) that are common metrics used in fields such as epidemiology. Reliable decision-making about health and disease rests on our ability to organize, analyze, and assess data repositories that contain patient health data. While standards exist to structure and analyze patient data across patient data sources such as health information exchanges, clinical data repositories, and health data marketplaces, analogous best practices for rigorously defining patient populations in health informatics contexts do not exist. Codifying best practices for developing disease definitions could support the effective development of clinical guidelines, inform algorithms used in clinical decision support systems, and additional patient guidelines. In this paper, we present a workflow for the development of phenotype definitions. This workflow presents a series of recommendations for defining health and disease. Various examples within this paper are presented to demonstrate this workflow in health informatics contexts.},
  pubstate = {preprint},
  keywords = {Computer Science - Computers and Society},
  note = {Comment: IEEE Computer Based Medical Systems Conference},
  file = {/Users/me/Zotero/storage/5YCQSJK4/Zelko et al. - 2023 - Developing a Robust Computable Phenotype Definitio.pdf;/Users/me/Zotero/storage/IIZTLGRZ/2304.html}
}