"Algorithmic Targeting of Social Policies: Accuracy and Fairness."

Alejandro Noriega-Campero, Bernardo Garcia Bulle-Bueno, Luis Fernando Cantu, Michiel A. Bakker, Luis Tejerina, and Alex Pentland. In ACM FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, Barcelona, Spain: January 2020.

"Algorithmic Targeting of Social Policies: Fairness, Accuracy, and Distributed Governance."

Alejandro Noriega-Campero, Bernardo Garcia Bulle-Bueno, Luis Fernando Cantu, Michiel A. Bakker, and Alex Pentland. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, Barcelona, Spain: January 2020.

"Atomic-Scale Imaging of a 27-Nuclear-Spin Cluster Using a Quantum Sensor."

Abobeih, Mohamed H., Joe Randall, Conor E. Bradley, Hans P. Bartling, Michiel A. Bakker, Maarten J. Degen, Mark Markham, Daniel J. Twitchen, and Tim H. Taminiau. Nature Vol. 576, (2019): 411-415.

"DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning."

Michiel A. Bakker, Duy Patrick Tu, Humberto Riverón Valdés, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, and Alex Pentland. In Human-Centric Machine Learning Workshop, NeurIPS 2019, Vancouver, Canada: December 2019. arXiv Preprint.

"A Ten-Qubit Solid-State Spin Register with Quantum Memory up to One Minute."

Bradley, Conor E., Joe Randall, Mohamed H. Abobeih, Remon C. Berrevoets, Maarten J. Degen, Michiel A. Bakker, Mark Markham, Daniel J. Twitchen, and Tim H. Taminiau. Physical Review X Vol. 9, No. 3 (2019): 031045.

"On Fairness in Budget-Constrained Decision Making."

Michiel A. Bakker, Humberto Riverón Valdés, Duy Patrick Tu, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, and Alex Pentland. In Accountability, Fairness, and Transparency Workshop, KDD ’19, Anchorage, AK: August 2019.