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Research area: Social sciences

Social sciences

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1,253 results found
Webinar

Foundations of causal inference and its impacts on machine learning webinar 

In this webinar, join Microsoft researchers Amit Sharma and Emre Kıcıman to learn about the fundamentals of causal inference. You will learn how a target question of cause and effect can be captured in a formal graphical model and answered systematically using available data. The researchers will introduce a four-step causal modeling framework for analyzing decision-making tasks and walk-through code examples using the DoWhy Python library that implements the framework. You will also discover how…

Publication

Online Influence Maximization under Linear Threshold Model 

by Shuai Li; et. al.

Online influence maximization (OIM) is a popular problem in social networks to learn influence propagation model parameters and maximize the influence spread at the same time. Most previous studies focus on the independent cascade (IC) model under the edge-level feedback. In this paper, we address OIM in the linear threshold (LT) model. Because node activations in the LT model are due to the aggregated effect of all active neighbors, it is more natural to model…

Career Opportunity

Stagiaire en recherche – FATE / Research Intern – FATE 

L’équipe FATE (« Fairness » [équité], « Accountability » [responsabilité], « Transparency » [transparence] et « Ethics » [éthique]) de Microsoft Research Montréal déploie des efforts pour aligner l’utilisation des systèmes informatiques sur des objectifs sociétaux généraux au service du bien collectif, de la justice et de l’équité.  Notre objectif est de comprendre les limites des systèmes informatiques et leur incidence sur les personnes, les groupes et les sociétés.  Pour atteindre cet objectif, nous développons…

Career Opportunity

Post-Doctorat Chercheur – Tous les domaines / Post Doc Researcher – All Disciplines 

Nous recherchons des candidats exceptionnels pour des postes de chercheurs postdoctoraux chez Microsoft Research (MSR) Montréal dans les domaines de l’apprentissage automatique et de l’intelligence artificielle, de l’apprentissage par renforcement, du traitement automatique des langues et de l’équité, la responsabilité, la transparence et l’éthique en intelligence artificielle (FATE). Les axes de recherche comprennent plus précisément l’apprentissage autosupervisé par représentation, la généralisation systématique dans l’apprentissage par renforcement, le méta-apprentissage et les conséquences sociales de l’intelligence artificielle.…

Career Opportunity

Research Intern – Computational Social Science 

The Microsoft Research Computational Social Science (CSS) group is widely recognized as a leading center of CSS research, lying at the intersection of computer science, statistics and the social sciences. Our approach is motivated by two longstanding difficulties for traditional social science: first, that simply gathering observational data on human activity is extremely difficult at scale and over time; and second, that running experiments to manipulate the conditions under which these measurements are made (e.g.,…

Career Opportunity

Research Intern – Social Media Collective 

Microsoft Research New England (MSRNE) is looking for advanced PhD students to join the Social Media Collective (SMC) for its 12-week Internship program. The Social Media Collective (in New England, we are Nancy Baym, Tarleton Gillespie, and Mary L. Gray, with current postdoc Niall Docherty) brings together empirical and critical perspectives to understand the political and cultural dynamics that underpin social media technologies. Learn more about us here. The Social Media Collective (SMC) is a network of social science…

Career Opportunity

Research Intern – (Dis)Trust in Public-Sector Data Infrastructures 

Microsoft Research internships provide PhD students with an opportunity to work on an independent research project that advances their intellectual development while collaborating with a multi-disciplinary group of scholars. Interns typically relish the networks that they build through this program. This internship will be mentored by danah boyd; the intern will be part of both the NYC lab’s cohort and a member of New England’s Social Media Collective. Applicants for this internship should be interested…

Career Opportunity

Research Intern – Fairness, Accountability, Transparency, and Ethics 

Microsoft Research New York City (MSR NYC) is looking for multiple interns to collaborate with members of the Fairness, Accountability, Transparency, and Ethics in AI (FATE) research group. The group includes the following researchers and postdocs: Solon Barocas, Su Lin Blodgett, Kate Crawford, Hal Daumé, Miro Dudík, Michael Madaio, Alexandra Olteanu, Hanna Wallach, and Jennifer Wortman Vaughan. Members of the group collaborate extensively with each other and with other groups across Microsoft. Applicants should have…

Daniel McDuff and Xin Lui's headshot appears next to their webinar title, camera based health sensing now on demand
Webinar

Camera-based non-contact health sensing webinar 

In this webinar, Microsoft Principal Researcher Daniel McDuff and University of Washington PhD student Xin Liu will present an overview of computer vision methods that leverage ordinary webcams to measure physiological signals (for example, peripheral blood flow, heart rate, respiration, and blood oxygenation) without contact with the body. Learn about some examples of state-of-the-art neural models that enable on-device sensing even in resource-constrained settings and understand some of the challenges and exciting research opportunities in…

Publication

(Re)Configuring Hybrid Meetings: Moving from User-Centered Design to Meeting-Centered Design 

by Banu Saatçi; et. al.

Despite sophisticated technologies for representational fidelity in hybrid meetings, in which co-located and remote participants collaborate via video or audio, meetings are still often disrupted by practical problems with trying to include remote participants. In this paper, we use micro-analysis of three disruptive moments in a hybrid meeting from a global software company to unpack blended technological and conversational practices of inclusion and exclusion. We argue that designing truly valuable experiences for hybrid meetings requires…

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