The Jain Family Institute

Digital Ethics Research Fellow

 

Research Fellowship in Digital Ethics

New York // Part Time // Research

Overview

The Jain Family Institute is seeking a research fellow for our current projects on digital ethics and digital curation. The ideal candidate is a late-stage master’s student or PhD candidate in social science, statistics, political science, legal theory, economics, computer science, or data science with an interest in the ethics of algorithmic decision systems. You will be assisting with both theoretical and applied work in this area. The theoretical work will include reviews of existing literature around algorithmic fairness and bias and experimentation with novel proposals. The practical work will include analysis and categorization of existing decision systems, formulation of best-practice recommendations for government and industry partners, and production of explanations of technical definitions for nontechnical stakeholders.

You will be joining a small team of generalist-practitioners with backgrounds in computer science, philosophy, physics, economics, social science, history, and data science working on algorithmic ethics and digital curation.

The fellowship carries a stipend of $15,000 for approximately 20 hours of work per week over six months. Those interested should send a CV or résumé with contact information, a letter of interest, and an overview of previous projects, to ethicsfellow-apps@jainfamilyinstitute.org.  

Selected candidates will be invited to an in-person interview in our Manhattan office in late April.

The preferred due date is April 26th, after which we will accept applications on a rolling basis.


Responsibilities

Time commitment: approximately 20 hours per week

Attendance: one to two times weekly, at meetings in our SoHo office

The fellow's tasks will include:

  • research in algorithmic fairness and bias; cataloging and classification of systems; policy recommendation; stakeholder communication
  • development and implementation of auditing tools for decision support systems using existing proposals for fairness;
  • experimenting with novel approaches to algorithmic bias detection;
  • supporting efforts in classification, cataloging, and explanation of the effects of existing systems

Qualification

Required Skills and Qualifications

  • Knowledge of statistics, machine learning, and/or decision theory
  • Competency reading and summarizing technical articles in computer science, empirical legal theory, and quantitative social science
  • Comfort with interacting with a range of potential partners, including academics, programmers, public policymakers, and community advocates
  • Background familiarity with ethics, social justice, discrimination law, history of civil rights, and/or political theory
  • Ability to draw connections between multiple disciplines in approaching questions of algorithmic ethics
  • Strong communication, collaboration, and organization skills

Helpful Skills and Qualifications

  • Prior knowledge of the algorithmic ethics literature
  • Research or practical experience in pure or applied ethics, social justice, law, and/or public policy
  • Programming ability

  • A stipend of $15000 , paid in monthly installments of $2,500
  • Experience with groundbreaking work in the field
  • The possibility of publishing new research under the auspices of the Jain Family Institute
  • Opportunities to meet with scholars, policy experts, and public leaders

Benefits


The Jain Family Institute is a new think tank founded by Bob Jain. We research and act on the interdependencies of society's critical systems and institutions in order to have the highest-leverage effect. Our work focuses on economics, politics, academia, information technology, finance, and culture.

 

For details about our staff and current projects, see http://www.jainfamilyinstitute.org/.

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