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Peter M. Krafft
Person information
- affiliation: University of Oxford, Internet Institute, UK
- affiliation: University of Washington, Seattle, WA, USA
- affiliation: University of California, Berkeley, CA, USA
- affiliation: Massachusetts Institute of Technology (MIT), CSAIL, Cambridge, MA, USA
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Books and Theses
- 2017
- [b1]Peter M. Krafft:
A rational choice framework for collective behavior. Massachusetts Institute of Technology, Cambridge, USA, 2017
Journal Articles
- 2024
- [j10]Karen Huang, P. M. Krafft:
Performing Platform Governance: Facebook and the Stage Management of Data Relations. Sci. Eng. Ethics 30(2): 13 (2024) - 2023
- [j9]Chris Graziul
, Alexander Belikov, Ishanu Chattopadhyay
, Ziwen Chen
, Hongbo Fang, Anuraag Girdhar, Xiaoshuang Jia, P. M. Krafft, Max Kleiman-Weiner, Candice Lewis, Chen Liang, John Muchovej, Alejandro Vientós, Meg Young, James A. Evans
:
Does big data serve policy? Not without context. An experiment with in silico social science. Comput. Math. Organ. Theory 29(1): 188-219 (2023) - 2022
- [j8]Mathew D. Hardy, Peaks M. Krafft, Bill Thompson, Thomas L. Griffiths
:
Overcoming Individual Limitations Through Distributed Computation: Rational Information Accumulation in Multigenerational Populations. Top. Cogn. Sci. 14(3): 550-573 (2022) - 2021
- [j7]Dhaval Adjodah
, Yan Leng, Shi Kai Chong, P. M. Krafft, Esteban Moro
, Alex Pentland
:
Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions. Entropy 23(7): 801 (2021) - [j6]Jennifer E. Lee, Meg Young, P. M. Krafft, Michael A. Katell:
Power and technology: who gets to make the decisions? Interactions 28(1): 38-46 (2021) - 2020
- [j5]Emily Porter, P. M. Krafft, Brian Keegan
:
Visual Narratives and Collective Memory across Peer-Produced Accounts of Contested Sociopolitical Events. ACM Trans. Soc. Comput. 3(1): 4:1-4:20 (2020) - 2019
- [j4]Meg Young
, Michael A. Katell
, P. M. Krafft:
Municipal surveillance regulation and algorithmic accountability. Big Data Soc. 6(2): 205395171986849 (2019) - [j3]Seth Frey
, P. M. Krafft, Brian C. Keegan
:
"This Place Does What It Was Built For": Designing Digital Institutions for Participatory Change. Proc. ACM Hum. Comput. Interact. 3(CSCW): 32:1-32:31 (2019) - [j2]Peter M. Krafft:
A Simple Computational Theory of General Collective Intelligence. Top. Cogn. Sci. 11(2): 374-392 (2019) - 2018
- [j1]Eaman Jahani, Peter M. Krafft, Yoshihiko Suhara, Esteban Moro
, Alex 'Sandy' Pentland:
ScamCoins, S*** Posters, and the Search for the Next BitcoinTM: Collective Sensemaking in Cryptocurrency Discussions. Proc. ACM Hum. Comput. Interact. 2(CSCW): 79:1-79:28 (2018)
Conference and Workshop Papers
- 2022
- [c21]Linda Huber
, Pedro Reynolds-Cuéllar
, EunJeong Cheon
, P. M. Krafft, Christoph Becker
, Danny Spitzberg, Aakash Gautam
, Margaret Hughes, Alex A. Ahmed
:
Solidarity and Disruption Collective Organizing In Computing II. CSCW Companion 2022: 287-290 - [c20]Meg Young, Michael A. Katell, P. M. Krafft:
Confronting Power and Corporate Capture at the FAccT Conference. FAccT 2022: 1375-1386 - 2021
- [c19]Daniella Raz, Corinne Bintz, Vivian Guetler
, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young:
Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition. AIES 2021: 895-904 - [c18]P. M. Krafft, Meg Young, Michael A. Katell, Jennifer E. Lee, Shankar Narayan, Micah Epstein, Dharma Dailey, Bernease Herman, Aaron Tam, Vivian Guetler
, Corinne Bintz, Daniella Raz, Pa Ousman Jobe, Franziska Putz, Brian Robick, Bissan Barghouti:
An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists. FAccT 2021: 772-781 - 2020
- [c17]P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo:
Defining AI in Policy versus Practice. AIES 2020: 72-78 - [c16]Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, P. M. Krafft, Esteban Moro, Alex Pentland:
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning. AAMAS 2020: 1738-1740 - [c15]Mathew D. Hardy, Bill Thompson, Peter M. Krafft, Tom Griffiths:
Population-level amplification of perceptual bias. CogSci 2020 - [c14]Michael A. Katell, Meg Young, Dharma Dailey, Bernease Herman
, Vivian Guetler
, Aaron Tam, Corinne Bintz, Daniella Raz, P. M. Krafft:
Toward situated interventions for algorithmic equity: lessons from the field. FAT* 2020: 45-55 - 2019
- [c13]Peter M. Krafft, Emma S. Spiro
:
Keeping Rumors in Proportion: Managing Uncertainty in Rumor Systems. CHI 2019: 646 - [c12]Yea-Seul Kim
, Logan A. Walls
, Peter M. Krafft, Jessica Hullman:
A Bayesian Cognition Approach to Improve Data Visualization. CHI 2019: 682 - 2018
- [c11]Daniel Y. Fu, Emily S. Wang, Peter M. Krafft, Barbara J. Grosz:
Influencing Flock Formation in Low-Density Settings. AAMAS 2018: 1613-1621 - [c10]Peter M. Krafft, Nicolás Della Penna, Alex 'Sandy' Pentland:
An Experimental Study of Cryptocurrency Market Dynamics. CHI 2018: 605 - [c9]Peter M. Krafft, Tom Griffiths:
Levels of Analysis in Computational Social Science. CogSci 2018 - 2017
- [c8]Peter M. Krafft, Kaitlyn Zhou, Isabelle Edwards, Kate Starbird, Emma S. Spiro
:
Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking. CHI 2017: 2976-2987 - [c7]Peter M. Krafft, Michael Macy, Alex Pentland:
Bots as Virtual Confederates: Design and Ethics. CSCW 2017: 183-190 - [c6]L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi:
A Distributed Learning Dynamics in Social Groups. PODC 2017: 441-450 - 2016
- [c5]Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum:
Modeling Human Ad Hoc Coordination. AAAI 2016: 3740-3746 - [c4]L. Elisa Celis, Peter M. Krafft, Nathan Kobe:
Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. ICWSM 2016: 42-51 - [c3]Alison Nahm, Alex Pentland, Peter M. Krafft:
Inferring Population Preferences via Mixtures of Spatial Voting Models. SocInfo (1) 2016: 290-311 - 2015
- [c2]Peter M. Krafft, Robert X. D. Hawkins, Alex Pentland, Noah D. Goodman, Joshua B. Tenenbaum:
Emergent Collective Sensing in Human Groups. CogSci 2015 - 2012
- [c1]Peter M. Krafft, Juston Moore, Bruce A. Desmarais, Hanna M. Wallach:
Topic-Partitioned Multinetwork Embeddings. NIPS 2012: 2816-2824
Informal and Other Publications
- 2022
- [i19]Mathew D. Hardy, Bill D. Thompson, P. M. Krafft, Thomas L. Griffiths:
Bias amplification in experimental social networks is reduced by resampling. CoRR abs/2208.07261 (2022) - [i18]Robert D. Hawkins
, Andrew M. Berdahl, Alex 'Sandy' Pentland, Joshua B. Tenenbaum, Noah D. Goodman, P. M. Krafft:
Flexible social inference facilitates targeted social learning when rewards are not observable. CoRR abs/2212.00869 (2022) - 2019
- [i17]Yea-Seul Kim, Logan A. Walls, Peter M. Krafft, Jessica Hullman:
A Bayesian Cognition Approach to Improve Data Visualization. CoRR abs/1901.02949 (2019) - [i16]Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, Peter M. Krafft, Esteban Moro, Alex Pentland:
Communication Topologies Between Learning Agents in Deep Reinforcement Learning. CoRR abs/1902.06740 (2019) - [i15]Peter M. Krafft, Brian Keegan, Seth Frey:
Designing for Participation and Change in Digital Institutions. CoRR abs/1902.08728 (2019) - [i14]Michael A. Katell, Meg Young, Bernease Herman, Dharma Dailey, Aaron Tam, Vivian Guetler
, Corinne Bintz, Daniella Raz, P. M. Krafft:
An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists. CoRR abs/1912.02943 (2019) - [i13]P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo:
Defining AI in Policy versus Practice. CoRR abs/1912.11095 (2019) - 2018
- [i12]Peter M. Krafft, Nicolás Della Penna, Alex Pentland:
An Experimental Study of Cryptocurrency Market Dynamics. CoRR abs/1801.05831 (2018) - [i11]Daniel Y. Fu
, Emily S. Wang, Peter M. Krafft, Barbara J. Grosz:
Influencing Flock Formation in Low-Density Settings. CoRR abs/1804.08667 (2018) - [i10]Alejandro Noriega Campero, Abdullah Almaatouq, Peter M. Krafft, Abdulrahman Alotaibi, Mehdi Moussaïd, Alex Pentland:
The Wisdom of the Network: How Adaptive Networks Promote Collective Intelligence. CoRR abs/1805.04766 (2018) - 2017
- [i9]L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi:
A Distributed Learning Dynamics in Social Groups. CoRR abs/1705.03414 (2017) - [i8]Dhaval Adjodah, Yan Leng, Shi Kai Chong, Peter M. Krafft, Alex Pentland:
Social Bayesian Learning in the Wisdom of the Crowd. CoRR abs/1712.09960 (2017) - [i7]Dhaval Adjodah, Shi Kai Chong, Yan Leng, Peter M. Krafft, Alex Pentland:
Large-Scale Experiment on the Importance of Social Learning and Unimodality in the Wisdom of the Crowd. CoRR abs/1712.10284 (2017) - 2016
- [i6]Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum:
Modeling Human Ad Hoc Coordination. CoRR abs/1602.03924 (2016) - [i5]L. Elisa Celis, Peter M. Krafft, Nathan Kobe:
Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. CoRR abs/1603.04466 (2016) - [i4]Peter M. Krafft, Julia Zheng, Wei Pan, Nicolás Della Penna, Yaniv Altshuler, Erez Shmueli, Joshua B. Tenenbaum, Alex Pentland:
Human collective intelligence as distributed Bayesian inference. CoRR abs/1608.01987 (2016) - [i3]Alison Nahm, Alex Pentland, Peter M. Krafft:
Inferring Population Preferences via Mixtures of Spatial Voting Models. CoRR abs/1610.07004 (2016) - [i2]Peter M. Krafft, Michael Macy, Alex Pentland:
Bots as Virtual Confederates: Design and Ethics. CoRR abs/1611.00447 (2016) - 2014
- [i1]Peter M. Krafft, Julia Zheng, Erez Shmueli, Nicolás Della Penna, Joshua B. Tenenbaum, Sandy Pentland:
Popularity and Performance: A Large-Scale Study. CoRR abs/1406.7729 (2014)
Coauthor Index
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last updated on 2024-08-05 21:19 CEST by the dblp team
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