[Eeglablist] Registration open: 2022 Northwestern Causal Inference Workshops

Fri Apr 15 09:23:17 PDT 2022

Sarah - I have forwarded to our EEGLAB mailing list - several thousand
subscribers.

best wishes,

Scott Makeig

On Fri, Apr 15, 2022 at 12:21 PM Scott Makeig <smakeig at gmail.com> wrote:

>
> Dear Dr. Scott Makeig:  I am writing on behalf of Prof. Bernie Black.  We
> would be grateful if you could circulate the announcement below to your
> faculty and researchers.
>
>
>
>
>
> Bernie
>
>
>
> *************************************************************
>
> Bernard S. Black
>
> Chabraja Professor, Northwestern University
>
> Pritzker Law School and Kellogg School of Management
>
> 375 East Chicago Ave., Chicago IL 60611
>
> bblack at northwestern.edu
>
> tel:  law:  312-503-2784; Kellogg 847-491-5049; cell: 847-807-9599
>
> papers on SSRN at:  https://urldefense.proofpoint.com/v2/url?u=http-3A__ssrn.com_author-3D16042&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=8h3GpHy4-Oj5SK3mm5EIzGoyF9jPSlVz4mcMymGHWFk&e= 
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__ssrn.com_author-3D16042&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=dbcO1EV15x-Qo8cN3hnQo2HYPjmim6f5mctxq3SEctY&e=>
>
> ************************************************************
>   2022 Northwestern Main and Advanced Causal Inference Workshops
>
> *[please recirculate to others who might be interested]*
>
> *After a COVID break during 2020 and 2021, we are excited to be holding
> our 11th annual workshop on Research Design for Causal Inference at *
> *Northwestern* *Law School** in Chicago, IL.  We invite you to attend.
> Our apologies for the length of this message.*
>
> *Main Workshop**:  Monday – Friday, August 8-12, 2022*
>
> *Advanced Workshop**:  Monday – Wednesday, August 15-17, 2022*
>
> *What’s special about these workshops are the speakers.  They will be
> taught by world-class causal inference researchers.  See below for
> details.  *Registration is limited to 125 participants for each
> workshop.
>
> There will also be a Zoom option, but please come in person if you can.
> The online experience is not the same.
>
> *For information and to register:*
>
>
> https://urldefense.proofpoint.com/v2/url?u=https-3A__www.law.northwestern.edu_research-2Dfaculty_events_conferences_causalinference_&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=_5fzz8-utCfW6D0gd_CMIjGY87v47t2OoLHAob7wAoU&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.law.northwestern.edu_research-2Dfaculty_events_conferences_causalinference_&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=8E1Ch0hEQF8_eoeFAfQGkByQ03zUEMcRACLqEB_IIgU&e=>
>
> *Bernie Black [Northwestern University, Pritzker Law School, Institute for
> Policy Research, and Kellogg School of Management, Department of Finance]*
>
> *Scott Cunningham [Baylor University, Department of Economics]*
>
> *Main Workshop Overview:  *We will cover the design of true randomized
> experiments and contrast them to natural or quasi experiments and to pure
> observational studies, where part of the sample is treated in some way, the
> remainder is a control group, but the researcher controls neither which
> units are treated vs. control, nor administration of the treatment.  We
> will assess the causal inferences one can draw from specific “causal”
> research designs, threats to valid causal inference, and research designs
> that can mitigate those threats.
>
> Most empirical methods courses survey a variety of methods.  We will begin
> instead with the goal of causal inference, and how to design a research
> plan to come closer to that goal, using messy, real-world datasets with
> limited sample sizes. The methods are often adapted to a particular study.
>
> *Advanced Workshop **Overview:  **The advanced workshop provides in-depth
> discussion of selected topics that are beyond what we can cover in the main
> workshop.*  The principal topics for 2022 quantile and nonlinear
> difference-in-differences, doubly robust estimation of causal effects; DiD
> methods that address staggered treatments (applied to different units at
> different times); and the application of machine learning methods to causal
> inference.
>
> *Target audience for main workshop:  *Quantitative empirical researchers
> (faculty and graduate students) in social science, including law,
> political science, economics, many business-school areas (finance,
> accounting, management, marketing, etc.), medicine, sociology, education,
> psychology, etc. –anywhere that causal inference is important.
>
> We will assume knowledge, at the level of an upper-level college
> econometrics or similar course, of multivariate regression, including
> OLS, logit, and probit; basic probability and statistics including
> confidence intervals, *t*-statistics, and standard errors; and some
> understanding of instrumental variables.  This course should be suitable
> both for researchers with recent PhD-level training in econometrics and for
> empirical scholars with reasonable but more limited training.
>
> *Target Audience for Advanced Workshop:* Empirical researchers who are
> familiar with the basics of causal inference (from our main workshop or
> otherwise), and want to extend their knowledge.  We will assume
> familiarity, but not expertise, with potential outcomes,
> difference-in-differences, and panel data methods.
>
> *Main Workshop Faculty (in order of appearance)*
>
> Donald B. Rubin (Harvard University)
>
> Donald Rubin is John L. Loeb Professor of Statistics Emeritus, at
> Harvard.  His work on the “Rubin Causal Model” is central to modern
> understanding of causal inference with observational data.  Principal
> research interests:  statistical methods for causal inference; Bayesian
> statistics; analysis of incomplete data.  Website:
> https://urldefense.proofpoint.com/v2/url?u=https-3A__statistics.fas.harvard.edu_people_donald-2Db-2Drubin&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=q-9hi9uShLqh5D7fVdgYvb2QTJHLgWgzCr_iSOR9UMQ&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__statistics.fas.harvard.edu_people_donald-2Db-2Drubin&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=finKh3l1BtC2pv_ncK7CSOfUmkfe3X8zygTR3EJRkM0&e=>.
> Wikipedia:  https://urldefense.proofpoint.com/v2/url?u=http-3A__en.wikipedia.org_wiki_Donald-5FRubin&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=Ho-lHde07TZW1Vm-zSqxji1iv30s4hx1uCroBELkS5Q&e= 
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__en.wikipedia.org_wiki_Donald-5FRubin&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=V3tnhOS_zaKTD3WmMpQTNbzHFj-UORvTuKjoLngw5zQ&e=>
>
> Pedro Sant’Anna (Vanderbilt University and Microsoft)
>
> Pedro SantAnna is Assistant Professor of Economics at Vanderbilt
> University.  His research focus is on microeconometrics, including causal
> inference methods and program evaluation.  Website:
> https://urldefense.proofpoint.com/v2/url?u=https-3A__as.vanderbilt.edu_economics_bio_pedro-2Dsantanna_-3Fwho-3Dpedro-2Dsantanna&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=Uatp09mB5ZAGbap_A3KkzYZYHKRd9W82vIXFvQXAFU8&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__as.vanderbilt.edu_economics_bio_pedro-2Dsantanna_-3Fwho-3Dpedro-2Dsantanna&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=wA8JwrtIP7H7I80qdZcLpDaEXGj6Rg0SyqkVgE9syfU&e=>
> .
>
> Rocio Titiunik (Princeton University)
>
> Rocío Titiunik is Professor of Politics at Princeton University. She
> specializes in quantitative methodology for the social sciences, with
> emphasis on quasi-experimental methods for causal inference. Personal
> Website: https://urldefense.proofpoint.com/v2/url?u=https-3A__scholar.princeton.edu_titiunik&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=CF4GgOZ_V8tEpaaSuV14LjlFWr1l6JIRIVb4T8Rmua8&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__scholar.princeton.edu_titiunik&d=DwMFaQ&c=yHlS04HhBraes5BQ9ueu5zKhE7rtNXt_d012z2PA6ws&r=UogPJ7VYoAeiC8NNwyY5AxLx8QgaRiMcicgAv7oi3tc&m=g-_a1ZP6SVVOGh0ByfSalzE_6f5YTvFiL680jgP-mG8&s=6_PF8jksGYX0eR9mFvdGNpffUzqqu8fPtI8jJOjKIfc&e=>
> .
>
> Matias Cattaneo (Princeton University)
>
> Matias Cattaneo is Professor in the Department of Operations Research and
> Financial Engineering at Princeton University, with positions in
> Princeton’s Department of Economics, Center for Statistics and Machine
> Learning, and Program in Latin American Studies.  His research focus is *[*to
> come]*.  Website:  https://urldefense.proofpoint.com/v2/url?u=https-3A__cattaneo.princeton.edu_home&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=oMAtGkp-KMwrwllQ9oYP6NSDJvcOHFQVKLdLlFfD3AA&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__cattaneo.princeton.edu_home&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=l5D0twTVr-XdHENQpNdvi9DA1jvLG5_S9lNtBXqUvLk&e=>
>
> *Advanced Workshop Faculty*
>
> Jeffrey Wooldridge (Michigan State University)
>
> Jeffrey Wooldridge is University Distinguished Professor at Michigan State
> University and the author of leading undergraduate and graduate textbooks
> on econometrics.  His research interests include causal inference and the
> econometrics of panel data, including nonlinear models in
> difference-in-differences and general policy analysis settings.  Website:
> https://urldefense.proofpoint.com/v2/url?u=http-3A__econ.msu.edu_faculty_wooldridge_&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=oQvI-5e05xk2fJ0l_EUd5jLTdu4kaUC60a4gp2_5q70&e= 
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__econ.msu.edu_faculty_wooldridge_&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=wNrl81G27_LzMH9ZFbE7033Rbr7PilsLEe3MAWiIEdU&e=>
> .
>
> Yiqing Xu (Stanford University)
>
> Yiqing Xu is Assistant Professor of Political Science at University of
> California, San Diego. His main methods research involves causal
> inference with panel data.  Website: https://urldefense.proofpoint.com/v2/url?u=https-3A__yiqingxu.org_&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=dO7itdZ5kBM9rkgjagGM7dW5AYlZa8WMeTghESgZgNI&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__yiqingxu.org_&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=Fc1mwxxY4urDNk2qp90kuV5cBxyuVj2x4KA3ChBdy4g&e=>
> .
>
> Christian Hansen (University of Chicago)
>
> Christian Hansen is Wallace W. Booth Professor of Econometrics and
> Statistics at the University of Chicago, Booth School of Business.  His
> research has chiefly been in the areas of the use of machine learning
> methods in estimation of causal and policy effects, estimation of panel
> data models, inference using clustered standard errors, quantile
> regression, and weak instruments.   Website:
> https://urldefense.proofpoint.com/v2/url?u=https-3A__voices.uchicago.edu_christianhansen_&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=wZZ7PuQYigOeGSo9rTLxPvAIZgxccWOiw9SLGvu5SwQ&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__voices.uchicago.edu_christianhansen_&d=DwQFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=sAM9_pXKyE4OJVjtqjnLLJ268CTbMFTP1t_k56Rtjz8&e=>
> .
>
> *Main Workshop Outline*
>
> *Monday, August 8 (Donald Rubin)*
>
> *Introduction to Modern Methods for Causal Inference*
>
> Overview of causal inference and the Rubin “potential outcomes” causal
> model.  The “gold standard” of a randomized experiment.  Treatment and
> control groups, and the core role of the assignment (to treatment)
> mechanism.  Causal inference as a missing data problem, and imputation of
> missing potential outcomes.  Rerandomization.  One-sided and two-sided
> noncompliance.
>
> *Tuesday, August 9 (Pedro Sant’Anna)*
>
> *Matching and Reweighting Designs for “Pure” Observational Studies*
>
> The core, untestable requirement of selection [only] on observables.
> Ensuring covariate balance and common support.  Matching, reweighting, and
> regression estimators of average treatment effects.  Propensity score
> methods.
>
> *Wednesday, August 10 (Pedro Sant’Anna)*
>
> *Panel Data and Difference-in-Differences*
>
> Panel data methods:  pooled OLS, random effects, and fixed effects.
> Simple two-period DiD and panel data extensions.  The core “parallel
> trends” assumption.  Testing this assumption.  Event study (leads and lags)
> and distributed lag models.  Accommodating covariates.  Triple
> differences.  Robust and clustered standard errors.
>
> *Thursday, August 11 (either Rocio Titiunik or Matias Cattaneo)*
>
> *Regression Discontinuity*
>
> Regression discontinuity (RD) designs: sharp and fuzzy designs;
> continuity-based methods and bandwidth selection; local randomization
> methods and window selection; empirical falsification of RD assumptions;
> extensions and generalizations of canonical RD setup: discrete running
> variable, multi-cutoff, multi-score, and geographic designs. RD software
> website: https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_site_rdpackages_&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=ILIU3Pbk2TfwA0hSnkSetNQCW5ModH__OXpAqmOdsbw&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_site_rdpackages_&d=DwMFaQ&c=yHlS04HhBraes5BQ9ueu5zKhE7rtNXt_d012z2PA6ws&r=UogPJ7VYoAeiC8NNwyY5AxLx8QgaRiMcicgAv7oi3tc&m=g-_a1ZP6SVVOGh0ByfSalzE_6f5YTvFiL680jgP-mG8&s=CM0m9c8i5SuSTFEiLBNY3pnzWEbi-2gsSzYIflpwjhI&e=>
>
> *Friday, August 12: Morning **(either Matias Cattaneo or Rocio Titiunik)*
>
> *Instrumental variable methods*
>
> Causal inference with instrumental variables (IV): the role of the
> exclusion restriction and first stage assumption; the monotonicity
> assumption and local average treatment effect (LATE) interpretation; applications
> to randomized experiments with imperfect compliance, including
> intent-to-treat designs and two-stage estimation.  Connections between IV
> and fuzzy RD designs.
>
> *Friday, August 12: Afternoon -  Feedback on your own research*
>
> Attendees will present their own research design questions from current
> work in breakout sessions and receive feedback on research design.  Session
> leaders:  Bernie Black, Scott Cunningham, Rocio Titiunik or Matias
> Cattaneo).  Additional parallel sessions if needed to meet demand.
>
> *Stata and R code*
>
> *On selected days, we will run parallel Stata and R sessions to illustrate
> code for the research designs discussed in the lectures, or the speakers
> will build Stata code into their lecture slides.  Presenters:  Bernard
> Black (Stata) and Joshua Lerner (R).*
>
> *Advanced Workshop Outline*
>
> *Monday, August 15:  Jeffrey Wooldridge*
>
> *Advanced matching and balancing methods*
>
> *Choosing among the many available matching and balancing methods.
> Estimators that aim directly at covariate balance.  Combining balancing
> with regression and doubly robust estimators in cross-sectional and panel
> data settings.  Synthetic controls.  *
>
> *Tuesday, August 16: Yiqing Xu*
>
> *Advanced panel data methods*
>
> Causal inference with panel data using parametric, semi-parametric,
> non-parametric methods for addressing imbalance between treated and control
> units. Bias in classic DiD models using two-way fixed effects.  Topics
> include interactive fixed effects and matrix completion methods, as well as
> reweighting approaches such as panel matching, trajectory balancing and
> augmented synthetic control. *Relative strengths and weaknesses of
> different methods will be discussed.*
>
> *Wednesday, August 17:  Christian Hansen*
>
> *Introduction to machine learning (predictive inference) *
>
> *Introduction to “machine-learning” approaches to prediction algorithms.
> High-dimensional model selection (function classes, regularization,
> tuning), model combination (ensemble models, bagging, boosting), model
> evaluation, and implementation.*
>
> *Applications of machine learning to causal inference*
>
> *When and how can machine learning methods be applied to causal inference
> questions. Limitations (prediction vs estimation) and opportunities (data
> pre-processing, prediction as quantity of interest, high-dimensional
> nuisance parameters), with examples from an emerging empirical literature.*
>
> *Registration and Workshop Cost*
>
> *Vaccination required:  *All in-person enrollees should be vaccinated
> against COVID-19 (2 doses), and have received a booster shot if the second
> dose was more than 6 months before the start of the workshop.  Contact us
> if you need an exception to this policy.  You will be asked for vaccine
> details when you register.
>
> *Main Workshop:* tuition is $900 ($600 for post-docs and graduate
> students; $500 if you are Northwestern-affiliated).  The workshop fee
> includes all materials, temporary Stata license, breakfast, lunch, snacks,
> and an evening reception on the first workshop day.
>
> *Advanced Workshop:  *tuition is $600 ($400 for post-docs and graduate
> students; $300 if you are Northwestern affiliated).
>
> There is a $200 discount for non-Northwestern persons attending both
> workshops ($100 for Northwestern affiliates).
>
> *Zoom option:  *We’ve decided to charge the same amount for in-person and
> virtual attendance.  Partly, we want to encourage in-person attendance.
> We also want to allow attendees to switch from one format to the other,
> depending on how travel and COVID-19 risk looks by mid-summer.
>
> You can cancel either workshop five weeks in advance, for a 75% refund –
> July 1, 2020 for the Main Workshop and July 8, 2022 for the Advanced
> Workshop – or carry over your registration to next year for full credit.
> There is a 50% refund after these dates but before three weeks in advance,
> July 15, 2022 for the Main Workshop and July 22, 2020 for the Advanced
> Workshop. After these dates no refund will be given, because we cant
> realistically replace you.  If the workshop is canceled, we will offer a
> full refund.
>
> We know the workshop is not cheap.  We use the funds to pay our speakers
> and expenses; we don’t pay ourselves.
>
> *Workshop Schedule*
>
> You should plan on full days, roughly 9:00-5:00.  Breakfast will be
> available at 8:30.
>
> *Workshop Organizers*
>
> Bernard Black (Northwestern University)
>
> Bernie Black is Nicholas J. Chabraja Professor at Northwestern University,
> with positions in the Pritzker School of Law, the Institute for Policy
> Research, and the Kellogg School of Management, Finance Department.
> Principal research interests: health law and policy; empirical legal
> studies, law and finance, international corporate governance.  Web page
> with link to CV:  https://urldefense.proofpoint.com/v2/url?u=http-3A__www.law.northwestern.edu_faculty_profiles_BernardBlack_&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=HOmKp3V5V_Zf8ZLYVva5haTiLzDUT3fsEdp5UUxYJCA&e= 
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.law.northwestern.edu_faculty_profiles_BernardBlack_&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=mnvdlQtl8pdbbkES-97pmrPt3F-Z3ajaS1ne_LVfeIQ&e=>
> . Papers on SSRN:  https://urldefense.proofpoint.com/v2/url?u=http-3A__ssrn.com_author-3D16042&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=8h3GpHy4-Oj5SK3mm5EIzGoyF9jPSlVz4mcMymGHWFk&e= 
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__ssrn.com_author-3D16042&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=dbcO1EV15x-Qo8cN3hnQo2HYPjmim6f5mctxq3SEctY&e=>
> .
>
> Scott Cunningham (Baylor University)
>
> Scott Cunningham is Professor of Economics at Baylor University.
> Principal research interests: mental healthcare; suicide; corrections; sex
> work; abortion policy; drug policy.  Web page with link to CV:
> https://urldefense.proofpoint.com/v2/url?u=https-3A__www.scunning.com&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=BWaH8EIBGk41jFzIK9aQsR_xCz_-94l8JVQ3Cvtq7haRbGqMJ1eEWX04E3geSqhu&s=hTj2vE2RmaVN_57IQv28K2U55q_6wKZ-NnovXIwAbFA&e= 
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.scunning.com&d=DwMFAw&c=-35OiAkTchMrZOngvJPOeA&r=KEnFjcsfiKF_BPOsgvPP912y1yQ0q05CJ14uAvMNdNQ&m=IKdtFkr2lwEliZwH7roaxkL0BIy5WRo-tpGFg7bsP22hSIeKar-kvPKECtqXXYMr&s=kEHBVY-TgjEMhqCGEvwi9kMfBxLDZda-uiTgYobQIWU&e=>
> .
>
> *Questions about the workshops:  *Please email Bernie Black (
> bblack at northwestern.edu) or Scott Cunningham (scunning at gmail.com) for
> substantive questions or fee waiver requests, and Sarah Jane King Shoemaker
> (sarah.shoemaker at law.northwestern.edu) for logistics and registration.
>
>
> --
> Scott Makeig, Research Scientist and Director, Swartz Center for
> Computational Neuroscience, Institute for Neural Computation, University of
> California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott
>

-- 
Scott Makeig, Research Scientist and Director, Swartz Center for
Computational Neuroscience, Institute for Neural Computation, University of
California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott