Pub Date : 2023-04-03DOI: 10.1080/09332480.2023.2203657
R. Wasserstein
What ignites your passion, feeds your frustration, or impresses you with its beauty or power? What is the “one thing” you want to tell some¬one who is interested in statistics and data science about sta¬tistics? These are the questions to be answered by this new column, “One thing about…,” which will invite contributors to share their unique perspectives on statistics and data science. In the inaugural column, Ron Wasserstein who is the executive director of the ASA and the column editor shares his “one thing.” Statistics does not magically get rid of all the uncertainty of life. But it helps us know how certain we reasonably can be.
{"title":"One Thing About…","authors":"R. Wasserstein","doi":"10.1080/09332480.2023.2203657","DOIUrl":"https://doi.org/10.1080/09332480.2023.2203657","url":null,"abstract":"What ignites your passion, feeds your frustration, or impresses you with its beauty or power? What is the “one thing” you want to tell some¬one who is interested in statistics and data science about sta¬tistics? These are the questions to be answered by this new column, “One thing about…,” which will invite contributors to share their unique perspectives on statistics and data science. In the inaugural column, Ron Wasserstein who is the executive director of the ASA and the column editor shares his “one thing.” Statistics does not magically get rid of all the uncertainty of life. But it helps us know how certain we reasonably can be.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"27 1","pages":"37 - 38"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87056049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.1080/09332480.2023.2203649
C. Robert
In the book review, column editor Christian Robert reviews three books: Casanova’s Lottery by Stephen Stigler, Bayes Factors for Forensic Decision Analyses with R, and Bayesian Probability for Babies by Chris Ferrie and Dr. Sarah Kaiser. Casanova’s Lottery tells the “history of a revolutionary game of chance.” Bayes Factors for Forensic Decision Analyses with R provides a sort of blueprint for using Bayes factors in forensics for both investigative and evaluative purposes, including R code and free access to the whole material. The final book tells story follows two young girls competing for dinosaur expertise and being rewarded by cookies, in proportion to the probability of providing the correct answer to two dinosaur questions.
{"title":"Casanova’s Lottery","authors":"C. Robert","doi":"10.1080/09332480.2023.2203649","DOIUrl":"https://doi.org/10.1080/09332480.2023.2203649","url":null,"abstract":"In the book review, column editor Christian Robert reviews three books: Casanova’s Lottery by Stephen Stigler, Bayes Factors for Forensic Decision Analyses with R, and Bayesian Probability for Babies by Chris Ferrie and Dr. Sarah Kaiser. Casanova’s Lottery tells the “history of a revolutionary game of chance.” Bayes Factors for Forensic Decision Analyses with R provides a sort of blueprint for using Bayes factors in forensics for both investigative and evaluative purposes, including R code and free access to the whole material. The final book tells story follows two young girls competing for dinosaur expertise and being rewarded by cookies, in proportion to the probability of providing the correct answer to two dinosaur questions.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"18 1","pages":"31 - 32"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85398271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/09332480.2023.2179255
Wendy Martinez, D. LaLonde
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Pub Date : 2023-01-02DOI: 10.1080/09332480.2023.2179281
H. Wainer, Daniel Robinson
Abstract The authors of this essay consider the costs of the errors that occur in any kind of decision making. In a binary decision there are always two kinds of errors that can be made – saying ‘yes’ when you should have said ‘no’ (a false positive) or saying ‘no’ when you should have said ‘yes’ (a false negative). Choosing a decision-making strategy by simply adding up the number of each of two kinds of errors is only sensible if the costs of each of the two errors are equal. This is rarely the case. The authors explore these ideas in the context of college admission and testing.
{"title":"Why Testing? Why Should It Cost You?","authors":"H. Wainer, Daniel Robinson","doi":"10.1080/09332480.2023.2179281","DOIUrl":"https://doi.org/10.1080/09332480.2023.2179281","url":null,"abstract":"Abstract The authors of this essay consider the costs of the errors that occur in any kind of decision making. In a binary decision there are always two kinds of errors that can be made – saying ‘yes’ when you should have said ‘no’ (a false positive) or saying ‘no’ when you should have said ‘yes’ (a false negative). Choosing a decision-making strategy by simply adding up the number of each of two kinds of errors is only sensible if the costs of each of the two errors are equal. This is rarely the case. The authors explore these ideas in the context of college admission and testing.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"84 10 1","pages":"48 - 52"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87658928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/09332480.2023.2179279
Maria Tackett, Mine Çetinkaya-Rundel
Abstract In February 2021, Allen Hillery, Athony Starks, and Sekou Tyler, started the #DuboisChallenge,and annual online challenge where participants use modern data visualization toolssuch as R, Python, and Tableau, among others, to recreate the data visualizations by W.E.B.Du Bois. The challenge took place again in February 2022 and it was featuredin 2021 and 2022 as part of the weekly online data visualization event TidyTuesday( https://github.com/rfordatascience/tidytuesday ). This column presents examples of activities for the classroom that are inspired by the #DuBoisChallenge.
{"title":"Analyzing and Recreating Data Visualizations of W.E.B. Du Bois","authors":"Maria Tackett, Mine Çetinkaya-Rundel","doi":"10.1080/09332480.2023.2179279","DOIUrl":"https://doi.org/10.1080/09332480.2023.2179279","url":null,"abstract":"Abstract In February 2021, Allen Hillery, Athony Starks, and Sekou Tyler, started the #DuboisChallenge,and annual online challenge where participants use modern data visualization toolssuch as R, Python, and Tableau, among others, to recreate the data visualizations by W.E.B.Du Bois. The challenge took place again in February 2022 and it was featuredin 2021 and 2022 as part of the weekly online data visualization event TidyTuesday( https://github.com/rfordatascience/tidytuesday ). This column presents examples of activities for the classroom that are inspired by the #DuBoisChallenge.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"27 1","pages":"40 - 47"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73945828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/09332480.2023.2179271
K. Ensor, Jennifer Grancio
Abstract This interview with Jennifer Grancio, who is the CEO of Engine No. 1, provides her perspective on how her firm can create value by helping businesses transform their practices to be more sustainable, especially when needing to address the important challenges the world faces with climate change. She has over 25 years of experience scaling businesses across financial services that have a positive impact for investors. Before Engine No. 1, Jennifer founded an advisory firm where she worked closely with CEOs to accelerate growth.
{"title":"Engine No. 1 CEO Reflects on the Future of Climate Change","authors":"K. Ensor, Jennifer Grancio","doi":"10.1080/09332480.2023.2179271","DOIUrl":"https://doi.org/10.1080/09332480.2023.2179271","url":null,"abstract":"Abstract This interview with Jennifer Grancio, who is the CEO of Engine No. 1, provides her perspective on how her firm can create value by helping businesses transform their practices to be more sustainable, especially when needing to address the important challenges the world faces with climate change. She has over 25 years of experience scaling businesses across financial services that have a positive impact for investors. Before Engine No. 1, Jennifer founded an advisory firm where she worked closely with CEOs to accelerate growth.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"80 1","pages":"23 - 24"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85537237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/09332480.2023.2179270
Steve Sain
Abstract With the increasing recognition of the impacts and growing costs due to climate change, there is a growing demand for actionable assessments of climate risk from business, industry, and governments. The assessment of climate risk is at the heart of climate risk analytics, and these assessments can be used in a variety of use cases. This article explores the use cases such as the impact of extreme weather events and regulatory response and disclosure. The paper also explores the critical impact of the statistical sciences on climate analytics as a growing field and discusses the opportunities for statisticians and data scientists.
{"title":"Climate Risk Analytics","authors":"Steve Sain","doi":"10.1080/09332480.2023.2179270","DOIUrl":"https://doi.org/10.1080/09332480.2023.2179270","url":null,"abstract":"Abstract With the increasing recognition of the impacts and growing costs due to climate change, there is a growing demand for actionable assessments of climate risk from business, industry, and governments. The assessment of climate risk is at the heart of climate risk analytics, and these assessments can be used in a variety of use cases. This article explores the use cases such as the impact of extreme weather events and regulatory response and disclosure. The paper also explores the critical impact of the statistical sciences on climate analytics as a growing field and discusses the opportunities for statisticians and data scientists.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"50 1","pages":"17 - 22"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78181355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/09332480.2023.2179268
K. Ensor, R. Sorkin
Abstract This interview with Rich Sorkin who is the CEO and Founder of Jupiter Intelligence provides his perspective on climate science. Mr. Sorkin has had a three-decade-long career as a Silicon Valley entrepreneur, executive, advisor, board member and investor in numerous industries. Sorkin focuses on commercializing transformative technologies, with a significant concentration on financial services, energy, media, politics, and the environment. In this interview he shares his unique perspective on the field of climate science and discusses the challenges facing the global community and the opportunities for positive impact on these challenges.
{"title":"Helping Society Mitigate Effects of Climate Change","authors":"K. Ensor, R. Sorkin","doi":"10.1080/09332480.2023.2179268","DOIUrl":"https://doi.org/10.1080/09332480.2023.2179268","url":null,"abstract":"Abstract This interview with Rich Sorkin who is the CEO and Founder of Jupiter Intelligence provides his perspective on climate science. Mr. Sorkin has had a three-decade-long career as a Silicon Valley entrepreneur, executive, advisor, board member and investor in numerous industries. Sorkin focuses on commercializing transformative technologies, with a significant concentration on financial services, energy, media, politics, and the environment. In this interview he shares his unique perspective on the field of climate science and discusses the challenges facing the global community and the opportunities for positive impact on these challenges.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"52 1","pages":"14 - 16"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76342589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/09332480.2023.2179263
N. Cressie
Abstract We have been looking up at the stars for millennia, trying to figure out our place in space, making small steps out and sending probes out even further. We are space travelers and, for the foreseeable future, Earth is our “mother ship.” To sustain our voyage through space, we need to look out for stressors, overheating and, particularly, new energy sources for our ship. We need to monitor its integrity, repair components that are broken, and establish long-term maintenance protocols. That is, mitigation is needed at scale, and we need to plan and action it now! We have scientific knowledge about different parts of the ship with differing degrees of certainty, but the message is clear that it is in peril from overheating. Unfortunately, there are many captains to report to, with different priorities. While they demur, deflect, and disagree, Earth is rapidly approaching a waypoint where mitigation will not be enough, and adaptation for a fast-changing climate will be part of our future.
{"title":"Adapting Statistical Science for a Fast-Changing Climate","authors":"N. Cressie","doi":"10.1080/09332480.2023.2179263","DOIUrl":"https://doi.org/10.1080/09332480.2023.2179263","url":null,"abstract":"Abstract We have been looking up at the stars for millennia, trying to figure out our place in space, making small steps out and sending probes out even further. We are space travelers and, for the foreseeable future, Earth is our “mother ship.” To sustain our voyage through space, we need to look out for stressors, overheating and, particularly, new energy sources for our ship. We need to monitor its integrity, repair components that are broken, and establish long-term maintenance protocols. That is, mitigation is needed at scale, and we need to plan and action it now! We have scientific knowledge about different parts of the ship with differing degrees of certainty, but the message is clear that it is in peril from overheating. Unfortunately, there are many captains to report to, with different priorities. While they demur, deflect, and disagree, Earth is rapidly approaching a waypoint where mitigation will not be enough, and adaptation for a fast-changing climate will be part of our future.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"1 1","pages":"9 - 13"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83877560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/09332480.2023.2179275
R. Tractenberg
Abstract This article presents two principal "rules" that instructors should use professional ethical practice standards, not issues, to guide instruction/learning objectives, and use instructional and/or curriculum development guidelines to ensure that changes to courses are systematic and yield actionable student outputs. It presents resources to serve learners because they offer tools and techniques that equip future practitioners to practice ethically - whenever they practice. The article describes how learning outcomes of integrated ethics within a mathematics, statistics, or data science course featuring the ASA Ethical Guidelines and the ACM Code of Ethics, will result in individuals trained in how to practice ethically, rather than individuals who completed a required ethics course or mastered “ethics content”.
{"title":"10 Simple Rules for Integrating Ethics Training into Any Quantitative Course","authors":"R. Tractenberg","doi":"10.1080/09332480.2023.2179275","DOIUrl":"https://doi.org/10.1080/09332480.2023.2179275","url":null,"abstract":"Abstract This article presents two principal \"rules\" that instructors should use professional ethical practice standards, not issues, to guide instruction/learning objectives, and use instructional and/or curriculum development guidelines to ensure that changes to courses are systematic and yield actionable student outputs. It presents resources to serve learners because they offer tools and techniques that equip future practitioners to practice ethically - whenever they practice. The article describes how learning outcomes of integrated ethics within a mathematics, statistics, or data science course featuring the ASA Ethical Guidelines and the ACM Code of Ethics, will result in individuals trained in how to practice ethically, rather than individuals who completed a required ethics course or mastered “ethics content”.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"21 1","pages":"35 - 39"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79026647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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