希勒尔J. Bavli

希勒尔J的大头照. Bavli, associate professor of law at SMU 戴德曼法学院.

Associate Professor of Law 和 Robert G. Storey Distinguished 教师 Fellow

全职教师

电子邮件

hbavli@doorbaby.com

电话

214-768-2571

希勒尔J. Bavli is an Associate Professor of Law at SMU 戴德曼法学院. His teaching 和 scholarship interests are primarily in the fields of evidence 和 torts, he is particularly interested in applications of statistics to law.

Professor Bavli's current work includes a book on character evidence (under contract with Cambridge University Press) 和 a number of empirical studies. His scholarship has been published or is forthcoming in peer-reviewed journals such as the 法律研究杂志 法,概率 & 风险, as well as in law reviews such as the 斯坦福法律评论爱荷华法律评论, Boston College Law Review, U.C. 《威尼斯人娱乐城》. He also serves on various panels 和 committees related to his areas of scholarship. His recent service includes, 例如, memberships on the American Statistical Association Advisory Committee on Forensic Science, the AALS Section on 证据 Executive Committee, a government-sponsored panel organized to review 和 improve proposed st和ards related to DNA testimony.

An experienced litigation attorney, Professor Bavli has practiced in the fields of complex commercial litigation, 反托拉斯法, 以及刑法, most recently at the firms Akin Gump Strauss Hauer & Feld LLP 和 Boies Schiller Flexner LLP. Prior to joining SMU’s faculty, he also designed 和 taught a seminar course on the economic analysis of law in the Department of 经济学 at Harvard University. He received numerous awards for distinction in teaching for the course.

Professor Bavli received his J.D. from Fordham University School of Law 和 his Ph.D. in Statistics in Law 和 Government from Harvard University. 他还持有法学学士学位.M. from Harvard Law School, an A.M. in Statistics from Harvard University, a B.A. in 经济学 from Boston University. He completed a Fulbright Fellowship, 学习博弈论, 在耶路撒冷, 以色列, as well as short-term clerkships at the Supreme Court of India 和 the Supreme Court of Rw和a. He also held a fellowship at the Harvard Institute for Quantitative Social Science 和 a visiting fellowship at the 耶鲁大学法学院 School Center for Private Law.


专业领域

  • 证据
  • 侵权行为
  • 过程
  • 法律与统计
  • 法律与经济

教育

B.A.波士顿大学
J.D., Fordham University School of Law
LL.M.哈佛大学法学院教授
A.M.哈佛大学
Ph.D.哈佛大学

课程

证据
侵权行为
法律与统计

TRUTH AND CHARACTER: PLAYING THE ODDS IN LIFE AND LAW (under contract with Cambridge University Press)

文章

刻板印象作为证据, 77 斯坦福法律评论 (即将到来的2025)
SSRN

Correcting Federal Rule of 证据 404 to Clarify the Inadmissibility of Character 证据, 92 《威尼斯人娱乐城》 2441 (2024)
SSRN | SMU库

The Incongruence Principle of 证据, 99 印第安纳法律杂志 245 (2023)
SSRN

Character 证据 as a Conduit for Implicit Bias, 56 加州大学戴维斯分校法律评论 1019 (2023)
SSRN | SMU库

An Objective-Chance Exception to the Rule Against Character 证据, 74 阿拉巴马法律评论 121 (2022)
SSRN | SMU库

An Aggregation Theory of Character 证据, 51 法律研究杂志 39 (2022)
SSRN (预印本)| The University of Chicago Press (发布版)

Credibility in Empirical Legal Analysis, 87 《威尼斯人博彩》 501 (2022)
SSRN | SMU库

Causation in Civil Rights Legislation, 73 阿拉巴马法律评论 159 (2021)
SSRN | SMU库

Cause 和 Effect in Antidiscrimination Law, 106 爱荷华法律评论 483 (2021)
SSRN | SMU库

Counterfactual Causation, 51 Arizona State Law Journal 879 (2019)
SSRN | SMU库

The Effects of Comparable-Case Guidance on Awards for Pain 和 Suffering 和 Punitive Damages: 证据 from a R和omized Controlled Trial, 37 耶鲁大学法学院 & 政策评估 405 (2019) (with Reagan Mozer)
SSRN | SMU库

The Admissibility of Sampling 证据 to Prove Individual Damages in Class Actions, 59 Boston College Law Review 655(2018)(与约翰. 跳纱)
SSRN | SMU库

Shrinkage Estimation in the Adjudication of Civil Damage Claims, 13(2) 法律回顾 & 经济学 1 (2017) (with Yang Chen)
SMU库

The Logic of Comparable-Case Guidance in the Determination of Awards for Pain 和 Suffering 和 Punitive Damages, 85 University of Cincinnati Law Review 1 (2017)
SSRN | SMU库

Sampling 和 Reliability in Class Action Litigation, 2016 Cardozo Law Review De Novo 207 (2016)
SSRN | SMU库

Reductive Sampling: A Framework for Victim Participation 和 the Reparations Phase of the ICC Trial, 10 Harvard Africa Policy Journal 60 (2015)

Aggregating for Accuracy: A 关闭r Look at Sampling 和 Accuracy in Class Action Litigation, 14 法,概率 & 风险 67 (2015)
SSRN | SMU库