World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
20433
World Ranking
2554
National Ranking
1277

Research.com Recognitions

  • 2013 - ACM Fellow For contributions to human computer interaction, with an emphasis on finding and sharing expertise.

Overview

Mark S. Ackerman is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans interdisciplinary domains intersecting computer science and social sciences, with a focus on human-technology interaction and social behavior mediated by technological systems.

They have contributed extensively to the study of innovative human-technology interaction, misinformation and its impacts, animal and plant science education, evolution and science education, expert finding and Q&A systems, knowledge management and sharing, and climate change communication and perception.

Their recent publications include the following papers:

  • Competing to Share Expertise: the Taskcn Knowledge Sharing Community, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Public Acceptance of Evolution in the United States, 1985-2020, 2021, Public Understanding of Science
  • Data Work in Education: Enacting and Negotiating Care and Control in Teachers' Use of Data-Driven Classroom Surveillance Technology, 2021, Proceedings of the ACM on Human-Computer Interaction
  • Public Attitude Toward Covid-19 Vaccination: The Influence of Education, Partisanship, Biological Literacy, and Coronavirus Understanding, 2022, The FASEB Journal
  • Rating Friends Without Making Enemies, 2021, Proceedings of the International AAAI Conference on Web and Social Media

Frequent collaborators include:

  • Jon D. Miller
  • Belén Laspra
  • Carmelo Polino
  • Jordan Huffaker
  • Glenn Branch

They have published notably in the following venues:

  • Proceedings of the ACM on Human-Computer Interaction (6 publications)
  • Proceedings of the International AAAI Conference on Web and Social Media (3 publications)
  • Public Understanding of Science (2 publications)
  • Science and Public Policy (2 publications)
  • Business & Information Systems Engineering (2 publications)

Their work is situated primarily within computer science and social sciences, with significant contributions to several subfields such as sociology and political science, human-computer interaction, social psychology, information systems, and general health professions.

Mark S. Ackerman was recognized as an ACM Fellow in 2013 for their contributions to human-computer interaction, specifically focusing on the discovery and sharing of expertise. This acknowledgment reflects enduring engagement with the dynamics of expertise within technological and social contexts.

Best Publications

  • Soylent: a word processor with a crowd inside

    Michael S. Bernstein;Greg Little;Robert C. Miller;Björn Hartmann

  • The intellectual challenge of CSCW: the gap between social requirements and technical feasibility

    Mark S. Ackerman

  • Expertise networks in online communities: structure and algorithms

    Jun Zhang;Mark S. Ackerman;Lada Adamic

  • Knowledge sharing and yahoo answers: everyone knows something

    Lada A. Adamic;Jun Zhang;Eytan Bakshy;Mark S. Ackerman

  • The perfect search engine is not enough: a study of orienteering behavior in directed search

    Jaime Teevan;Christine Alvarado;Mark S. Ackerman;David R. Karger

  • Privacy in e-commerce: examining user scenarios and privacy preferences

    Mark S. Ackerman;Lorrie Faith Cranor;Joseph Reagle

  • Augmenting organizational memory: a field study of answer garden

    Mark S. Ackerman

  • Expertise recommender: a flexible recommendation system and architecture

    David W. McDonald;Mark S. Ackerman

  • Beyond Concern: Understanding Net Users' Attitudes About Online Privacy

    Lorrie Faith Cranor;Joseph Reagle;Mark S. Ackerman

  • Answer Garden 2: merging organizational memory with collaborative help

    Mark S. Ackerman;David W. McDonald

  • Answer Garden: a tool for growing organizational memory

    Unknown

  • Just talk to me: a field study of expertise location

    David W. McDonald;Mark S. Ackerman

  • Sharing Expertise: Beyond Knowledge Management

    Mark Ackerman;Volkmar Pipek;Volker Wulf

  • Augmenting a window system with speech input

    C. Schmandt;M.S. Ackerman;D. Hindus

  • Augmenting the organizational memory: a field study of answer garden

    Mark S. Ackerman

  • Questions in, knowledge in?: a study of naver's question answering community

    Kevin Kyung Nam;Mark S. Ackerman;Lada A. Adamic

  • Considering an organization's memory

    Mark S. Ackerman;Christine Halverson

  • Crowdsourcing and knowledge sharing: strategic user behavior on taskcn

    Jiang Yang;Lada A. Adamic;Mark S. Ackerman

  • Answer garden: a tool for growing organizational memory

    M. S. Ackerman;T. W. Malone

  • Sharing Knowledge and Expertise: The CSCW View of Knowledge Management

    Mark S. Ackerman;Juri Dachtera;Volkmar Pipek;Volker Wulf

  • Privacy in context

    Mark Ackerman;Trevor Darrell;Daniel Weitzner

  • Sharing Expertise: Beyond Knowledge Management

    Mark S. Ackerman;Volker Wulf;Volkmar Pipek

  • Just talk to me

    David W. McDonald;Mark S. Ackerman

Frequent Co-Authors

Lada A. Adamic
Lada A. Adamic Facebook (United States)
David W. McDonald
David W. McDonald University of Washington
Volker Wulf
Volker Wulf University of Siegen
Kai Zheng
Kai Zheng University of Electronic Science and Technology of China
Thomas Erickson
Thomas Erickson Independent Scientist / Consultant, US
Michael J. Pazzani
Michael J. Pazzani University of California, Riverside
Jaime Teevan
Jaime Teevan Microsoft (United States)
Brian T. Pentland
Brian T. Pentland Michigan State University

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