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MS&E 330 | LAW 2023
Final projects should be conducted in teams of 3-5 students, with the requirement that the team be interdisciplinary. The expectation is to complete a research paper (approximately 10 single-spaced pages) and presentation (approximately 15 minutes) that: (a) describes the emerging use of algorithms in a new domain and analyzes the potential benefits and harms; (b) analyzes the legal and THE STRUCTURAL VIRALITY OF ONLINE DIFFUSIONDR SHARAD GOEL Goel et al.: The Structural Virality of Online Diffusion 182 Management Science 62(1), pp. 180–196, ©2016 INFORMS and investigate the relationship between cascade size and structure. It could be, for example, that the most BLIND JUSTICE: ALGORITHMICALLY MASKING RACE IN CHARGING Blind Justice: Algorithmically Masking Race in Charging Decisions Alex Chohlas-Wood alexcw@stanford.edu Stanford University Stanford,California, USA
A STUDY OF RANSOMWARE excluding email, have a significant impact on users’ likeli-hood to adopt risky online behaviors, concluding that male, younger users, and users who spend many hours online were THE MEASURE AND MISMEASURE OF FAIRNESS: A CRITICAL REVIEW 1 Introduction In banking, criminal justice, medicine, and beyond, consequential decisions are often informed by statistical risk assessments that quantify the likely consequences of potential courses of action (Barocas and Selbst, A CAUSAL FRAMEWORK FOR OBSERVATIONAL STUDIES OF DISCRIMINATIONINSTITUTE FOR FAMILY STUDIES BIASBIAS IN COHORT STUDIESGENDER BIAS STUDIESOBSERVATIONAL RESEARCH STUDIESOBSERVATIONAL RESEARCH STUDIESRACIAL BIAS STUDIES A Causal Framework for Observational Studies of Discrimination∗ JohannGaebler StanfordUniversity WilliamCai StanfordUniversity GuillaumeBasse StanfordUniversity RECAPTCHA: HUMAN-BASED CHARACTER RECOGNITION VIA WEB thebadregime,withsignaltonoiselessthanone, and O(8/Dh2)signalsmustbesent.Bycontrast, whenhalfofafullyentangledstateissentout,the goodregimeisextendedtothecase hD2 >1 DISCUSSION (WEEK 4): MLE AND METHOD OF MOMENTS Discussion (Week 4): MLE and method of moments 5HARAD.COM - SHARAD GOELAKASH GOEL STANFORDDR GOEL NEPHROLOGIST A Large-scale Analysis of Racial Disparities in Police Stops Across the United States. With Emma Pierson, Camelia Simoiu, Jan Overgoor, Sam Corbett-Davies, Daniel Jenson, Amy Shoemaker, Vignesh Ramachandran, Phoebe Barghouty, Ravi Shroff, and Cheryl Phillips. Nature Human Behaviour, Vol. MS&E 125 - 5HARAD.COM Office Hours. Mondays @ 4 PM - 6 PM PT (Alex) Tuesdays @ 4:30 PM - 6 PM PT (Sharad) Wednesdays @ 10 AM - 12 PM PT (Jerry) Wednesdays @ 6:30 PM - 8:30 PM PT (Josh) Fridays @ 10 AM - 12 PM PT (rotating instructors) Lectures and discussion sections will be recorded to ensure all students have access to the materials, regardless oftimezone and
MS&E 330 | LAW 2023
Final projects should be conducted in teams of 3-5 students, with the requirement that the team be interdisciplinary. The expectation is to complete a research paper (approximately 10 single-spaced pages) and presentation (approximately 15 minutes) that: (a) describes the emerging use of algorithms in a new domain and analyzes the potential benefits and harms; (b) analyzes the legal and THE STRUCTURAL VIRALITY OF ONLINE DIFFUSIONDR SHARAD GOEL Goel et al.: The Structural Virality of Online Diffusion 182 Management Science 62(1), pp. 180–196, ©2016 INFORMS and investigate the relationship between cascade size and structure. It could be, for example, that the most BLIND JUSTICE: ALGORITHMICALLY MASKING RACE IN CHARGING Blind Justice: Algorithmically Masking Race in Charging Decisions Alex Chohlas-Wood alexcw@stanford.edu Stanford University Stanford,California, USA
A STUDY OF RANSOMWARE excluding email, have a significant impact on users’ likeli-hood to adopt risky online behaviors, concluding that male, younger users, and users who spend many hours online were THE MEASURE AND MISMEASURE OF FAIRNESS: A CRITICAL REVIEW 1 Introduction In banking, criminal justice, medicine, and beyond, consequential decisions are often informed by statistical risk assessments that quantify the likely consequences of potential courses of action (Barocas and Selbst, A CAUSAL FRAMEWORK FOR OBSERVATIONAL STUDIES OF DISCRIMINATIONINSTITUTE FOR FAMILY STUDIES BIASBIAS IN COHORT STUDIESGENDER BIAS STUDIESOBSERVATIONAL RESEARCH STUDIESOBSERVATIONAL RESEARCH STUDIESRACIAL BIAS STUDIES A Causal Framework for Observational Studies of Discrimination∗ JohannGaebler StanfordUniversity WilliamCai StanfordUniversity GuillaumeBasse StanfordUniversity RECAPTCHA: HUMAN-BASED CHARACTER RECOGNITION VIA WEB thebadregime,withsignaltonoiselessthanone, and O(8/Dh2)signalsmustbesent.Bycontrast, whenhalfofafullyentangledstateissentout,the goodregimeisextendedtothecase hD2 >1 DISCUSSION (WEEK 4): MLE AND METHOD OF MOMENTS Discussion (Week 4): MLE and method of momentsMS&E 330 | LAW 2023
Final projects should be conducted in teams of 3-5 students, with the requirement that the team be interdisciplinary. The expectation is to complete a research paper (approximately 10 single-spaced pages) and presentation (approximately 15 minutes) that: (a) describes the emerging use of algorithms in a new domain and analyzes the potential benefits and harms; (b) analyzes the legal and LEARNING TO BE FAIR: A CONSEQUENTIALIST APPROACH TO Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making Alex Chohlas-Wood 1Madison Coots Emma Brunskill2 Sharad Goel Abstract In THE COST OF FAIRNESS Algorithmic Decision Making and the Cost of Fairness Sam Corbe-Davies Stanford University scorbe@stanford.edu Emma Pierson StanfordUniversity
PERSONALIZED RISK ASSESSMENTS IN THE CRIMINAL JUSTICE SYSTEM VL. 106 N. 5 PERSNALIED RISK ASSESSMENTS IN THE RIMINAL JUSTIE SSTEM 121 II. From Complex Models to Simple Heuristics for Decision-Making The stop strategy outlined above is conceptu- FILTER BUBBLES, ECHO CHAMBERS, AND ONLINE NEWS CONSUMPTION stories with hundreds of their contacts (Bakshy et al. 2012; Goel, Watts, and Goldstein 2012). Moreover, search engines facilitate a diversity of voices by DISCUSSION (WEEK 4): MLE AND METHOD OF MOMENTS Discussion (Week 4): MLE and method of moments ONLINE, OPT-IN SURVEYS: FAST AND CHEAP, BUT ARE THEY ACCURATE? Within the survey research community, adoption of probability-based methods can be traced to a pivotal polling mishap in the 1936 U.S. presidential election campaign.1 In that race, the popular magazine Literary Digest conducted a mail-in survey that attracted over two million responses, a STATISTICAL INFERENCEin_int 1
DISCUSSION (WEEK 4): MLE AND METHOD OF MOMENTS Discussion (Week 4): MLE and method of moments 5HARAD.COM - SHARAD GOELAKASH GOEL STANFORDDR GOEL NEPHROLOGIST A Large-scale Analysis of Racial Disparities in Police Stops Across the United States. With Emma Pierson, Camelia Simoiu, Jan Overgoor, Sam Corbett-Davies, Daniel Jenson, Amy Shoemaker, Vignesh Ramachandran, Phoebe Barghouty, Ravi Shroff, and Cheryl Phillips. Nature Human Behaviour, Vol. MS&E 125 - 5HARAD.COM Office Hours. Mondays @ 4 PM - 6 PM PT (Alex) Tuesdays @ 4:30 PM - 6 PM PT (Sharad) Wednesdays @ 10 AM - 12 PM PT (Jerry) Wednesdays @ 6:30 PM - 8:30 PM PT (Josh) Fridays @ 10 AM - 12 PM PT (rotating instructors) Lectures and discussion sections will be recorded to ensure all students have access to the materials, regardless oftimezone and
MS&E 330 | LAW 2023
Final projects should be conducted in teams of 3-5 students, with the requirement that the team be interdisciplinary. The expectation is to complete a research paper (approximately 10 single-spaced pages) and presentation (approximately 15 minutes) that: (a) describes the emerging use of algorithms in a new domain and analyzes the potential benefits and harms; (b) analyzes the legal and THE STRUCTURAL VIRALITY OF ONLINE DIFFUSIONDR SHARAD GOEL Goel et al.: The Structural Virality of Online Diffusion 182 Management Science 62(1), pp. 180–196, ©2016 INFORMS and investigate the relationship between cascade size and structure. It could be, for example, that the most BLIND JUSTICE: ALGORITHMICALLY MASKING RACE IN CHARGING Blind Justice: Algorithmically Masking Race in Charging Decisions Alex Chohlas-Wood alexcw@stanford.edu Stanford University Stanford,California, USA
A STUDY OF RANSOMWARE excluding email, have a significant impact on users’ likeli-hood to adopt risky online behaviors, concluding that male, younger users, and users who spend many hours online were THE MEASURE AND MISMEASURE OF FAIRNESS: A CRITICAL REVIEW 1 Introduction In banking, criminal justice, medicine, and beyond, consequential decisions are often informed by statistical risk assessments that quantify the likely consequences of potential courses of action (Barocas and Selbst, A CAUSAL FRAMEWORK FOR OBSERVATIONAL STUDIES OF DISCRIMINATIONINSTITUTE FOR FAMILY STUDIES BIASBIAS IN COHORT STUDIESGENDER BIAS STUDIESOBSERVATIONAL RESEARCH STUDIESOBSERVATIONAL RESEARCH STUDIESRACIAL BIAS STUDIES A Causal Framework for Observational Studies of Discrimination∗ JohannGaebler StanfordUniversity WilliamCai StanfordUniversity GuillaumeBasse StanfordUniversity RECAPTCHA: HUMAN-BASED CHARACTER RECOGNITION VIA WEB thebadregime,withsignaltonoiselessthanone, and O(8/Dh2)signalsmustbesent.Bycontrast, whenhalfofafullyentangledstateissentout,the goodregimeisextendedtothecase hD2 >1 DISCUSSION (WEEK 4): MLE AND METHOD OF MOMENTS Discussion (Week 4): MLE and method of momentsMS&E 330 | LAW 2023
Final projects should be conducted in teams of 3-5 students, with the requirement that the team be interdisciplinary. The expectation is to complete a research paper (approximately 10 single-spaced pages) and presentation (approximately 15 minutes) that: (a) describes the emerging use of algorithms in a new domain and analyzes the potential benefits and harms; (b) analyzes the legal and LEARNING TO BE FAIR: A CONSEQUENTIALIST APPROACH TO Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making Alex Chohlas-Wood 1Madison Coots Emma Brunskill2 Sharad Goel Abstract In THE COST OF FAIRNESS Algorithmic Decision Making and the Cost of Fairness Sam Corbe-Davies Stanford University scorbe@stanford.edu Emma Pierson StanfordUniversity
PERSONALIZED RISK ASSESSMENTS IN THE CRIMINAL JUSTICE SYSTEM VL. 106 N. 5 PERSNALIED RISK ASSESSMENTS IN THE RIMINAL JUSTIE SSTEM 121 II. From Complex Models to Simple Heuristics for Decision-Making The stop strategy outlined above is conceptu- FILTER BUBBLES, ECHO CHAMBERS, AND ONLINE NEWS CONSUMPTION stories with hundreds of their contacts (Bakshy et al. 2012; Goel, Watts, and Goldstein 2012). Moreover, search engines facilitate a diversity of voices by DISCUSSION (WEEK 4): MLE AND METHOD OF MOMENTS Discussion (Week 4): MLE and method of moments ONLINE, OPT-IN SURVEYS: FAST AND CHEAP, BUT ARE THEY ACCURATE? Within the survey research community, adoption of probability-based methods can be traced to a pivotal polling mishap in the 1936 U.S. presidential election campaign.1 In that race, the popular magazine Literary Digest conducted a mail-in survey that attracted over two million responses, a STATISTICAL INFERENCEin_int
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