SPRING 2020

February 7, 2020
Distributive Justice for Machine Learning: An Interdisciplinary Perspective on Defining, Measuring, and Mitigating Algorithmic Unfairness
Hoda Heidari, Postdoctoral Associate, Computer Science, Cornell University

February 14, 2020
DataWorks: Advancing the Human Work of Data Science
Samir Passi, Doctoral Candidate, Information Science, Cornell University

February 21, 2020
Exploring Space-Based Surveillance Infrastructure: Applications and Future Expansions
Bilan Ali, Information Science, Cornell University

February 28, 2020
Avoiding Disparate Treatment in Mitigating Disparate Impact
Manish Raghavan, Doctoral Candidate, Computer Science, Cornell University
Briana Vecchione, PhD Student, Information Science, Cornell University

March 13, 2020
TBD
Kate Donahue, PhD Student, Computer Science, Cornell University

March 27, 2020
TBD
Stephen Hilgartner, Professor, Science and Technology Studies, Cornell University

April 10, 2020
TBD
Solon Barocas, Assistant Professor, Information Science, Cornell University

April 17, 2020
Network Failure or Hyperparameters
A.F. Cooper, PhD Student, Computer Science, Cornell University
Sarah Sachs, Postdoctoral Associate, Science and Technology Studies, Cornell University

April 24, 2020
Optimally Allocating Opportunities in a Dynamic Model of Intergenerational Mobility
Jon Kleinberg, Professor, Computer Science, Cornell University
Hoda Heidari, Postdoctoral Associate, Computer Science, Cornell University

April 30, 2020
Data Feminism
Catherine D’Ignazio, Assistant Professor, Urban Science and Planning, MIT
Lauren Klein, Associate Professor, English and Quantitative Theory & Methods, Emory University

May 1, 2020
TBD
Katy Blumer, PhD Student, Computer Science, Cornell University


FALL 2019

August 28, 2019
Lawyer-in-the-Loop: Values in Configuring Expert Input
Fernando Delgado, PhD Student, Information Science, Cornell University

September 13, 2019
Designing a Lab Course on Data Science & Society
Malte Ziewitz, Assistant Professor, Science and Technology Studies, Cornell University

October 4, 2019
On Chess and Automating Human Expertise
Jon Kleinberg, Professor, Computer Science, Cornell University

October 11, 2019
Toward a Human-in-the-Loop Framework to Construct Context-dependent Mathematical Formulations of Fairness
Hoda Heidari, Postdoctoral Associate, Computer Science, Cornell University

October 18, 2019
Accountability in Nondeterministic Systems
A.F. Cooper, PhD Student, Computer Science, Cornell University

October 25, 2019
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons
Manish Raghavan, Doctoral Candidate, Computer Science, Cornell University

November 1, 2019
Ordering of Lists in Natural Speech
Katherine Van Koevering, PhD Student, Computer Science, Cornell University

November 8, 2019
The Algorithm at Work: The Reconfiguration of Work and Expertise in the Making of Similarity in Art Data
Sarah Sachs, Postdoctoral Associate, Science and Technology Studies, Cornell University

November 15, 2019
Dreams and Designs to Optimize Advertising
Lee Mcguigan, Research Fellow at Cornell Tech DLI

December 6, 2019
The Concept of Representativeness in Data and Statistics
Kyla Chasalow, College Scholar, Cornell University

December 13, 2019
Automating Civic Agency: ShotSpotter and the Politics of Digital Policing Infrastructure
Lauren Kilgour, Doctoral Candidate, Information Science, Cornell University


SPRING 2019

February 7, 2019
Imperfection is the Norm: A Computer Systems Perspective on IoT
A.F. Cooper, PhD Student, Computer Science, Cornell University

February 21, 2019
Algorithms in Hiring
Manish Raghavan, Doctoral Candidate, Computer Science, Cornell University

February 28, 2019
Carceral Technology
Lauren Kilgour, PhD Student, Information Science, Cornell University

March 7, 2019
Should Flexibly-Assembled Social Entities Have Standing? A Constitutional Provocation
Stephen Hilgartner, Professor, Science and Technology Studies, Cornell University

March 14, 2019
Ethnographic Case Study on Self-Help Legal Chatbot
Samir Passi, Doctoral Candidate, Information Science, Cornell University

March 15, 2019
Analytics and AI in Education
Rene Kizilcec, Assistant Professor, Information Science, Cornell University

March 21, 2019
Price of Fairness
Kate Donahue, PhD Student, Computer Science, Cornell University

March 28, 2019
Data Ethics Curriculum
Briana Vecchione, PhD Student, Information Science, Cornell University

April 11, 2019
Kidney Allocation Algorithm
David Robinson, Visiting Scientist, Information Science, Cornell University; Managing Director, Upturn

April 18, 2019
How Can Large Web and Social Media Data Help Address Health Data Gaps
Rediet Abebe, Doctoral Candidate, Computer Science, Cornell University

April 19, 2019
From Surveillance to Monitoring: Environmental Governance and New Data Infrastructures in Myanmar
Jennifer Goldstein, Assistant Professor, Development Sociology, Cornell University

April 25, 2019
Strange Loops: Apparent versus Actual Human Involvement in Automated Decision-Making
Karen Levy, Assistant Professor, Information Science, Cornell University

April 26, 2019
Stories from the Inventory: The History of Personal Data in the 1940 Census
Dan Bouk, Associate Professor, History, Colgate University

May 2, 2019
Rethinking Gaming: The Ethical Work of Optimization in Web Search Engines
Malte Ziewitz, Assistant Professor, Science and Technology Studies, Cornell University


FALL 2018

September 6, 2018
Problem Formulation and Fairness
Solon Barocas, Assistant Professor, Information Science, Cornell University
Samir Passi, Doctoral Candidate, Information Science, Cornell University

September 13, 2018
Fairness and Simplicity
Jon Kleinberg, Professor, Computer Science, Cornell University

September 20, 2018
Strategic Behavior and Social Costs
Manish Raghavan, Doctoral Candidate, Computer Science, Cornell University

September 27, 2018
Datasheets for Datasets
Briana Vecchione, PhD Student, Information Science, Cornell University

October 4, 2018
Assisting Low-Income Families in the Presence of Income Shocks
Rediet Abebe, Doctoral Candidate, Computer Science, Cornell University

October 11, 2018
AI in Hiring
Miranda Bogen, Upturn

October 18, 2018
Distributional Impacts of Policies and Treatments: Predictions versus Interventions and Normative Concerns
Angela Zhou, Doctoral Candidate, Operations Research, Cornell Tech

October 25, 2018
Guest Lecture
Virginia Eubanks, Associate Professor, Political Science, SUNY Albany

November 1, 2018
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects
Samir Passi, Doctoral Candidate, Information Science, Cornell University

November 8, 2018
Configuring “Explainability”: Empirical Investigations into Everyday Encounters with Machine Learning
Christine T. Wolf, IBM Research – Almaden

November 15, 2018
Constructive Models of Public Interest Oversight for Automated Judgment
David Robinson, Visiting Scientist, Information Science, Cornell University; Managing Director, Upturn

November 29, 2018
Algorithmic Adoption and Governance in Civil Discovery
Fernando Delgado, PhD Student, Information Science, Cornell University