Amelie Marian Headshot

Amélie Marian

Professor Department of Computer Science CoRE 324, Busch Campus amelie.marian@rutgers.edu




Mailing Address: CS Dept, Rutgers University
                               110 Frelinghuysen Rd
                               Piscataway, NJ 08854
Office Tel: +1 848 445 8324

My main research interests are in Data Management and Algorithms, specifically Accountability and Transparency of Algorithms for Decision-Making, Explainable Rankings, Personal Information Management, Data Integration, and Data Corroboration.

BIO

Amélie Marian is a Professor in the Computer Science Department at Rutgers University. Her research interests are in Accountability of Decision-making Systems, Transparent Digital Democracy, Explainable Rankings, Personal Digital Traces, and Data Integration. Amélie received her Ph.D. in Computer Science from Columbia University in 2005. from March 1999 to August 2000, Amélie was a member of the VERSO project at INRIA-Rocquencourt. She received B.S. and M.S. degree from Université Paris Dauphine, France in 1998 and 1999, respectively. She is the recipient of a Microsoft Live Labs Award (2006), three Google Research Awards (2008, 2010, and 2012) and an NSF CAREER award (2009).

Research

Here are some current research projects. A complete list of research projects can be found on the Research page.

Possible Elimination Orders for the 2021 NYC Democratic Mayoral Primary

Transparent and Trustworthy Digital Democracy

Combining work in computational social choice, explainable AI, machine learning, economics, mechanism design, and civic informatics to design trust- aware digital infrastructures that promote transparency, accountability, and informed participation in democracy.

Randomly generated UUID V4 numbers

Transparent and Accountable Decision Systems

Developing methodological approaches for auditing, explaining, and correcting algorithmic decisions under real-world constraints.

SQLAssign selection Screen

Personalization and Randomization of Data Assignments

Designing solutions to enhance student engagement and learning outcomes by providing customizable data repositories aligned with course objectives.

News

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