Social sciences - Microsoft Research

Video

The Global AI Supercomputer

October 14, 2019 | Donald Kossmann

Professor Donald Kossmann, Distinguished Scientist and Director or the Redmond Lab gave the Microsoft PhD Summit opening keynote on the topic of The Global AI Supercomputer and the next era of computing.

54:15

Publication

Making Digital Money “Work” for Low-Income Users: Critical Reflections for HCI

Srihari Hulikal Muralidhar

International Journal of Mobile Human Computer Interaction | October 2019, Vol 11(4): pp. 49-65

Publication

Making Digital Money ‘Work’ for Low-Income Users: Critical Reflections for HCI

Srihari Hulikal Muralidhar

International Journal of Mobile Human Computer Interaction | October 2019, Vol 11(4): pp. 49-65

Publication

Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India

Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan M. Lavista Ferres

October 2019

Presented at NeurIPS 2019 Workshop on Machine Learning for the Developing World

Publication

Convening Technologies: Blockchain and the Music Industry

Nancy Baym, Lana Swartz, Andrea Alarcon

International Journal of Communication | October 2019, pp. 402-421

Publication

The ‘interrogative gaze’: Making video calling and messaging ‘accountable’

Richard Harper, Sean Rintel, Rod Watson, Kenton O'Hara

Skyping the Family: Interpersonal video communication and domestic life | Published by John Benjamins | 2019

ISBN: 9789027203496

Project Project

Publication

Stop the Presses? Moving From Strategic Silence to Strategic Amplification in a Networked Media Ecosystem

Joan Donovan, danah boyd

Sage Journals | September 2019

Publication

What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring

Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar

7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019

Video

Distributed Entity Resolution for Computational Social Science

September 6, 2019 | Rebecca C. Steorts

Very often information about social entities is scattered across multiple databases. Combining that information into one database can result in enormous benefits for analysis, resulting in richer and more reliable conclusions. In most practical applications,…

Video: Distributed Entity Resolution for Computational Social Science

1:00:21

Publication

Complete Submodularity Characterization in the Comparative Independent Cascade Model

Wei Chen, Hanrui Zhang

Theoretical Computer Science | September 2019, Vol 786(27): pp. 78-87