Berent Aldikacti

Submitted by admin on
Primary Title:  
Research Fellow
Institution:  
UMASS Amherst
Department:  
College of Info & Computer Sciences
Additional Department:  
Molecular & Cellular Biology
Email Address:  
baldikacti@umass.edu

Walid Ashraf Ahmed Abdelrahman

Submitted by admin on
Primary Title:  
Post Doctoral Research Associate
Institution:  
UMASS Amherst
Department:  
College of Info & Computer Sciences
Email Address:  
waabdelrahma@umass.edu

Astrid Watkins

Submitted by admin on
Primary Title:  
Adjunct Assistant Faculty
Additional Title:  
SSW Research Affiliate
Institution:  
Smith College
Department:  
School for Social Work
Additional Department:  
School for Social Work
Email Address:  
awatkins@smith.edu

Lucy Diamond

Submitted by admin on
Primary Title:  
Visual Arts Studio Supervising Teacher
Institution:  
Smith College
Department:  
Center for Early Childhood Education
Email Address:  
ldiamond@smith.edu

Kenneth Botnick

Submitted by admin on
Primary Title:  
Lecturer
Institution:  
Smith College
Department:  
Art
Email Address:  
kbotnick@smith.edu

Nicole Brown

Submitted by admin on
Primary Title:  
Assistant Professor of Classics
Institution:  
Mount Holyoke College
Department:  
Classics & Italian
Email Address:  
nicolebrown@mtholyoke.edu

Mel Arthur

Submitted by admin on
Primary Title:  
Research Assistant
Institution:  
Amherst College
Department:  
Black Studies
Additional Department:  
Mead Art Museum
Email Address:  
marthur25@amherst.edu

Causal Inference & Experiments

The nature of causality and techniques for making valid causal inferences have been the subject of intense recent discussion in the social sciences. These topics are also increasingly relevant in government, business, and non-profit sectors amid the growing popularity of evidence-based approaches. Rooted in the potential outcomes framework, this course will discuss various conceptualizations of causality, explore the statistics of causal inference and provide deep coverage of methods for design- and model-based causal inference with experimental and observational data.

Energy Policy

This course explores the politics of energy policy by examining a range of cases from around the world, including the United States. What is energy? How does energy impact politics and everyday lives in energy-rich and energy-important countries? What are energy transitions and when do they occur? How do energy markets work? This course provides the conceptual, theoretical, and empirical tools to think critically about such questions.

Intro Physics Lab I

This is a laboratory course designed to correspond to the lectures in PHYSICS 131. The laboratory experiments performed by students will cover kinematics, dynamics and other aspects of mechanics pertinent to the material covered in PHYSICS 131. This course may be taken simultaneously with PHYSICS 131.
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