Employment |
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| 2025→ | CTO at Pareto | |
| 2025→ | Research fellow in the CSSLab at University of Pennsylvania (U Penn) | |
| 2022–24 | Senior scientist in the CSSLab at University of Pennsylvania (U Penn) working with Duncan J. Watts and in affiliation with Computer and Information Science (CIS) in the School of Engineering and Applied Science (SEAS) and Operations Information and Decisions (OID) in the Wharton School | |
| 2012 | Visiting scholar in Cultural Technology at KAIST under Meeyoung Cha | |
| 2008–12 | Design lead at Adaptive Equipment | |
Education |
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| 2019–22 | Postdoc in CIS at SEAS & OID at Wharton at University of Pennsylvania (U Penn) under Duncan J. Watts | |
| 2017–19 | Postdoc in the HCI group in computer science at Stanford under Michael S. Bernstein | |
| 2013–17 | PhD in mechanical engineering at Carnegie Mellon University (CMU) with chairs Jon Cagan & Phil R. Leduc and committee Manuela M. Veloso & Yongjie Jessica Zhang | |
| 2009–10 | MS in industrial design at Korea Advanced Institute of Science and Technology (KAIST) with advisors Youn-kyung Lim & Tek-jin Nam | |
| 2006 | Exchange student in industrial design at Zhejiang University (ZJU) | |
| 2004–07 | BDes in industrial design at Royal Melbourne Institute of Technology (RMIT) with first class honors | |
Teaching |
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| 2019 | Stanford Scientific Teaching Summer Institute at SEPAL | |
| 2018 | Software Instructor Training at The Carpentries | |
| 2018–19 | Postdoc teaching certificate program at Stanford Office of Postdoctoral Affairs | |
| 2013–14 | Teaching assistant in Senior design at CMU Mechanical Engineering Nominated for teaching assistance award | |
| 2013–17 | Future faculty program at CMU Eberly Center for Teaching Excellence | |
| 2010 | Teaching assistant in Computational design at KAIST Cultural Technology | |
| 2009–11 | Teaching assistant in Design product system & Emotional design at KAIST Industrial Design | |
Awards |
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| 2021 | Special Recognition Award at 7th International Conference on Computational Social Science (IC2S2) How common is common sense? | |
| 2021 | Best Paper at Asian CHI Together We Learn Better: Leveraging Communities of Practice for MOOC Learners | |
| 2020 | Best Paper Honorable Mention at Computer Supported Cooperative Work (CSCW) My Team Will Go On: Differentiating High and Low Viability Teams Through Team Interaction | |
| 2019 | Best Paper Honorable Mention at AAAI Conference on Human Computation and Crowdsourcing (HCOMP) Fair Work: Crowd Work Minimum Wage with One Line of Code | |
| 2009 | Design award at Red Dot | |
| 2007 | First class honors at RMIT | |
| 2007 | Youth delegation at Australian China Business Council Invitee of president Hu Jintau | |
| 2006 | Design award at Red Dot | |
| 2002 | First prize alliance in south east region at FIRST Robotics Competition (FRC) | |
Grants |
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| 2021–23 | Research grant at Alfred P. Sloan Foundation Scaling Up Experimental Social, Behavioral and Economic Science — $400,821 | |
| 2020–21 | Research grant at Hasso Plattner Institute-Stanford Design Thinking Research Program (HPDTRP) Re-DNA II: Re-designing nonverbal actions in video conferencing — $100,000 | |
| 2020 | Research fund at Summer Institutes in Computational Social Science (SICSS) What we think we think — $7,500 | |
| 2020 | Research grant at Program on Democracy and the Internet (PDI) It should have gone another way: Evaluating Consistency in Democratic Decision-Making via Online Juries — $50,000 | |
| 2019–20 | Research grant at HPDTRP Re-DNA: Re-designing nonverbal actions for design team collaborations — $110,000 | |
| 2019–21 | CONNECT grant at Stanford University Postdoctoral Association (SURPAS) Changing faces: Racial bias in online collaborative groups — $3,500 | |
| 2018–19 | Research grant at HPDTRP Design team fracture — $150,000 | |
| 2009–10 | Full scholarship at KAIST | |
Service & Community |
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| 2021 | Panelist at the Changing Nature of Work Workshop at Center for Work Technology and Organization (WTO) at Stanford University | |
| 2020 | Participant in the Duke chapter at Summer Institute in Computational Social Science (SICSS) | |
| 2019→ | Doctoral colloquium mentor (DC) at HCOMP’19 | |
| 2018 | Mentor in cohort 6 at Mozilla Open Leaders | |
| 2018 | Fellow at IDEO CoLab | |
| 2017→ | Program committee (PC) at CHI’25, WebSci’24, CSCW’24, Scholarship opportunities co-chair at HCOMP+CI’23, HCOMP’21, CSCW’21, CSCW’20, Group’20, CSCW’19, Designing Technologies to Support Human Problem Solving at VL/HCC’18, CSCW’18, Linked Democracy at IJCAI’17 | |
| 2016–19 | President & co-founder at Cultured Fit | |
| 2016–19 | Team member at Stanford crowd research collective | |
| 2015–18 | Research mentor at Pitt iSchool inclusion institute (I3) | |
| 2015 | CFO at National Association of Graduate and Professional Students (NAGPS) | |
| 2014–15 | VP finance at CMU Graduate Student Assembly (GSA) | |
| 2009–12 | Founder & director at TEDxKAIST | |
| 2009→ | Reviewer (R2) at Science Advances, Management Science, NSF, PLOS ONE, Mathematics, AAAI, CHI, CSCW, TOCHI, Collective Intelligence, CC, MobileHCI, IDETC, IASDR, DIS, UIST, TSC, IUI, ICWSM, Behavior & Information Technology | |
Invited talks |
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| 2025→ | Imagining a humane future of work Princeton University AI and Labor lecture series | |
| 2022 | How common is common sense? Microsoft Research, CU Boulder, Virginia Tech, Drexel University, NJIT, Depaul University, Instituto Superior Técnico at the University of Lisboa | |
| 2021 | Design for empirical value Toyota Research Institute, Sasahara lab at the Tokyo Institute of Technology, Door3 | |
| 2020–21 | Resetting remote team dynamics at BayCHI, Data Science Group at the Korean Institute for Basic Science, HCI@KAIST, Comm at Seoul National University | |
| 2019 | Design team fracture at Hasso Plattner design thinking research program workshop | |
| 2019 | Scaled humanity: computational scaffolds for pro-social interaction at Adobe, Stanford, University California Santa Cruz, Berkley BID seminar, Microsoft (collabratory keynote), George Mason University, Human Computer Interaction Consortium: Futures of Work (HCIC) | |
| 2018 | How can we make AI more accessible? Stanford AI Salon, jointly with Rachel Thomas | |
Mentees Submit an update. |
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| 2024–20 |
University of Pennsylvania
Angie Cao, Dan Kim, Parth Goel (Dubai College), Eda Orakci, Anna Vazhaeparambil, Adil Shahid, Arnab Sircar, Amirhossein Nakhaei (Aachen University), Nitya Kakulamarri (Tesla high school), Huifang Ye, Jason Ren, Bryan Yao, Alan Qiao, Sarah Batta, Kaily Liu, Vincent Cai, Daniel Xue, Sumant Shringari, Vivian Dinh, Arina Paniukhina, Karan Sampath, Henry Ge, Sarika Subramaniam, Andrew Cullen, Ashley(Nicole) Fernandez, Vikram Balasubramanian, Rafael Gehrke, Katelyn R Bottcher, and Paulina Paiz |
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| 2021 |
Princeton
Ryan Gibbons, and Dafna Yavetz |
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| 2019–17 |
Stanford
N'Godjigui Junior Diarrassouba (Texas Tech), Michelle Xing, Ryan Andrew Foulke, Irena Gao, Tonya Nguyen (Berkeley), J.D. Zamfirescu (Berkeley), Yu Jin Lee, Lydia Stone, Emily Hu, Grant Hugh, Laura Fiuza (research scientist), Chloe Barreau, Phoebe Yao, So Yeon Park, Kevin Lin, Alex Huy Nguyen (Minerva), Allie Blaising (Cal Poly-San Luis Obispo), Pheobe Kimm, Nik Marda, Maika Isogawa, Hao Wu, Abhay Kumar Agarwal, Catherine Jiang, and Kristen Law |
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| 2016 |
i3 Inclusion Institute, University of Pittsburgh
Jeremiah Azurin (Harvard), Imauri Motorin (UMBC), Samuel Osei-Afriyie (SUNY Oneonta), Abrere Sophie Kozolan (UMBC), Monique Jeffrey (UMBC), Jose Valderrama (UCF), Laurel Rawley (University of Houston), Simon Smith (University of Wisconsin-Madison), and Alex Selimov (UCF) |
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| 2013–16 | CMU | |
Patents |
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| 2024 |
Searching of data structures in pre-processing data for a machine learning classifier
Jonathan Cagan, Phil Leduc & Mark Whiting |
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Working papers |
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| 2025 |
The Task Space: A Multidimensional Representation of Team Tasks
Hu Xinlan E, Linnea Gandhi, Mark E Whiting, Duncan J Watts & Abdullah Almaatouq |
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Empirically evaluating commonsense intelligence in large language models with large-scale human judgments
Tuan Dung Nguyen, Duncan J. Watts & Mark E. Whiting |
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AI Hasn't Fixed Teamwork, But It Shifted Collaborative Culture: A Longitudinal Study in a Project-Based Software Development Organization (2023-2025)
Qing Xiao, Xinlan Emily Hu, Mark E. Whiting, Arvind Karunakaran, Hong Shen & Hancheng Cao |
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PublicationsPublications BibTeX | ORCiD: 0000-0002-6395-7833 |
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| 2025 |
A community-driven vision for a new knowledge resource for AI
Vinay K Chaudhri, Chaitan Baru, Brandon Bennett, Mehul Bhatt, Darion Cassel, Anthony G Cohn, Rina Dechter, Esra Erdem, Dave Ferrucci, Ken Forbus, Gregory Gelfond, Michael Genesereth, Andrew S. Gordon, Benjamin Grosof, Gopal Gupta, Jim Hendler, Sharat Israni, Tyler R. Josephson, Patrick Kyllonen, Yuliya Lierler, Vladimir Lifschitz, Clifton McFate, Hande K. McGinty, Leora Morgenstern, Alessandro Oltramari, Praveen Paritosh, Dan Roth, Blake Shepard, Cogan Shimzu, Denny Vrandečić, Mark Whiting & Michael Witbrock |
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| 2024 |
Beyond Playing 20 Questions with Nature: Integrative Experiment Design in the Social and Behavioral Sciences
Abdullah Almaatouq, Thomas L. Griffiths, Jordan W. Suchow, Mark E. Whiting, James Evans & Duncan J. Watts |
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Replies to commentaries on Beyond Playing 20 Questions with Nature
Abdullah Almaatouq, Thomas L. Griffiths, Jordan W. Suchow, Mark E. Whiting, James Evans & Duncan J. Watts |
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A framework for quantifying individual and collective common sense
Mark E. Whiting & Duncan J. Watts |
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| 2023 |
Insights into accuracy of social scientists' forecasts of societal change
Igor Grossmann, Amanda Rotella, Cendri A. Hutcherson, Konstantyn Sharpinskyi, Michael E.W. Varnum, Sebastian Achter, Mandeep K. Dhami, Xinqi Evie Guo, Mane Kara-Yakoubian, David R. Mandel, Louis Raes, Louis Tay, Aymeric Vie, Lisa Wagner, Matus Adamkovic, Arash Arami, Patrícia Arriaga, Kasun Bandara, Gabriel Baník, František Bartoš, Ernest Baskin, Christoph Bergmeir, Michał Białek, Caroline K. Børsting, Dillon T. Browne, Eugene M. Caruso, Rong Chen, Bin-Tzong Chie, William J. Chopik, Robert N. Collins, Chin W. Cong, Lucian G. Conway, Matthew Davis, Martin V. Day, Nathan A. Dhaliwal, Justin D. Durham, Martyna Dziekan, Christian T. Elbaek, Eric Shuman, Marharyta Fabrykant, Mustafa Firat, Geoffrey T. Fong, Jeremy A. Frimer, Jonathan M. Gallegos, Simon B. Goldberg, Anton Gollwitzer, Julia Goyal, Lorenz Graf-Vlachy, Scott D. Gronlund, Sebastian Hafenbrädl, Andree Hartanto, Matthew J. Hirshberg, Matthew J. Hornsey, Piers D.L. Howe, Anoosha Izadi, Bastian Jaeger, Pavol Kačmár, Yeun Joon Kim, Ruslan Krenzler, Daniel G. Lannin, Hung-Wen Lin, Nigel Mantou Lou, Verity Y.Q. Lua, Aaron W. Lukaszewski, Albert L. Ly, Christopher R. Madan, Maximilian Maier, Nadyanna M. Majeed, David S. March, Abigail A. Marsh, Michal Misiak, Kristian Ove R. Myrseth, Jaime M. Napan, Jonathan Nicholas, Konstantinos Nikolopoulos, Jiaqing O, Tobias Otterbring, Mariola Paruzel-Czachura, Shiva Pauer, John Protzko, Quentin Raffaelli, Ivan Ropovik, Robert M. Ross, Yefim Roth, Espen Røysamb, Landon Schnabel, Astrid Schütz, Matthias Seifert, A. Timur Sevincer, Garrick T. Sherman, Otto Simonsson, Ming-Chien Sung, Chung-Ching Tai, Thomas Talhelm, Bethany A. Teachman, Philip E. Tetlock, Dimitrios Thomakos, Dwight C.K. Tse, Oliver J. Twardus, Joshua M. Tybur, Lyle Ungar, Daan Vandermeulen, Leighton Vaughan Williams, Hrag A. Vosgerichian, Qi Wang, Ke Wang, Mark E. Whiting, Conny E. Wollbrant, Tao Yang, Kumar Yogeeswaran, Sangsuk Yoon, Ventura r. Alves, Jessica R. Andrews-Hanna, Paul A. Bloom, Anthony Boyles, Loo Charis, Mingyeong Choi, Sean Darling-Hammond, Zoe E. Ferguson, Cheryl R. Kaiser, Simon T. Karg, Alberto López Ortega, Lori Mahoney, Melvin S. Marsh, Marcellin F.R.C. Martinie, Eli K. Michaels, Philip Millroth, Jeanean B. Naqvi, Weiting Ng, Robb B. Rutledge, Peter Slattery, Adam H. Smiley, Oliver Strijbis, Daniel Sznycer, Eli Tsukayama, Austin van Loon, Jan G. Voelkel, Margaux N.A. Wienk, Tom Wilkening & The Forecasting Collaborative |
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COVID-19 non-pharmaceutical interventions: data annotation for rapidly changing local policy information
Benjamin Hurt, Oishee Bintey Hoque, Finn Mokrzycki, Anjali Mathew, Maryann Xue, Luka Gabitsinashvili, Haile Mokrzycki, Ranya Fischer, Nicholas Telesca, Lauren Aurelia Xue, Jacob Ritchie, JD Zamfirescu-Pereira, Michael S Bernstein, Mark E Whiting & Madhav Marathe |
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| 2022 |
Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications
Dilrukshi Gamage, Piyush Ghasiya, Vamshi Bonagiri, Mark E. Whiting & Kazutoshi Sasahara |
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Inducing Vascular Grammars for Anomaly Classification in Brain Angiograms
Mark E. Whiting, Joseph Mettenburg, Enrico M. Novelli, Tales Santini, Tiago Martins, Tamer S. Ibrahim, Philip R. LeDuc & Jonathan Cagan |
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Dancing with Ambiguity Online: When Our Online Actions Cause Confusion
So Yeon Park, Mark E Whiting & Michael Shanks |
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| 2021 |
Empirica: a virtual lab for high-throughput macro-level experiments
Abdullah Almaatouq, Joshua Becker, James P Houghton, Nicolas Paton, Duncan J Watts & Mark E Whiting |
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🏅My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction
Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N'Godjigui Junior Diarrassouba, Mark E Whiting & Michael S Bernstein |
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Can Online Juries Make Consistent, Repeatable Decisions?
Xinlan Emily Hu, Mark E Whiting & Michael S Bernstein |
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Peer assessment in MOOCs: Systematic literature review
Dilrukshi Gamage, Thomas Staubitz & Mark E Whiting |
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🏆Together We Learn Better: Leveraging Communities of Practice for MOOC Learners
Dilrukshi Gamage & Mark E Whiting |
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Scaling up experimental social, behavioral, and economic science
Abdullah Almaatouq, Joshua A Becker, Michael S Bernstein, Robert Botto, Eric Bradlow, Ekaterina Damer, Angela L Duckworth, Tom Griffiths, Joshua K Hartshorne, David Lazer, Edith Law, Min Liu, J. N Matias, David G Rand, Matthew J Salganik, Emma Satlof-Bedrick, Maurice Schweitzer, Hirokazu Shirado, Jordan W Suchow, Siddharth Suri, Milena Tsvetkova, Duncan J Watts, Mark E Whiting & Ming Yin |
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Decoding Nonverbal Online Actions: How They Are Used and Interpreted
So Yeon Park, Mark E Whiting & Michael Shanks |
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| 2020 |
Parallel Worlds: Repeated Initializations of the Same Team To Improve Team Viability
Mark E Whiting, Irena Gao, Michelle Xing, N’Godjigui Junior Diarrassouba, Tonya Nguyen & Michael S Bernstein |
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| 2019 |
🏅Fair work: Crowd work minimum wage with one line of code
Mark E Whiting, Grant Hugh & Michael S Bernstein |
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Did It Have To End This Way? Understanding the Consistency of Team Fracture
Mark E. Whiting, Allie Blaising, Chloe Barreau, Laura Fiuza, Nik Marda, Melissa Valentine & Michael S. Bernstein |
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| 2018 |
Efficient probabilistic grammar induction for design
Mark E Whiting, Jonathan Cagan & Philip LeDuc |
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Tasker: Safely Serving Verifiable Micro-tasks for Researchers
Monique Jeffrey, Mark E Whiting, Abrere S Kozolan, Imauri Motorin & Osei-Afriyie Samuel |
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Improving Feedback and Discussion in MOOC Peer Assessment Using Introduced Peers
Dilrukshi Gamage, Mark E Whiting, Indika Perera & Shantha Fernando |
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| 2017 |
Crowd guilds: Worker-led reputation and feedback on crowdsourcing platforms
Mark E. Whiting, Dilrukshi Gamage, Snehalkumar S. Gaikwad, Aaron Gilbee, Shirish Goyal, Alipta Ballav, Dinesh Majeti, Nalin Chhibber, Angela Richmond-Fuller, Freddie Vargus, Tejas Seshadri Sarma, Varshine Chandrakanthan, Teogenes Moura, Mohamed Hashim Salih, Gabriel Bayomi Tinoco Kalejaiye, Adam Ginzberg, Catherine A. Mullings, Yoni Dayan, Kristy Milland, Henrique Orefice, Jeff Regino, Sayna Parsi, Kunz Mainali, Vibhor Sehgal, Sekandar Matin, Akshansh Sinha, Rajan Vaish & Michael S. Bernstein |
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Automated Induction of General Grammars for Design
Mark E Whiting, Jonathan Cagan & Philip LeDuc |
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The daemo crowdsourcing marketplace
Snehalkumar (Neil) S Gaikwad, Mark E Whiting, Dilrukshi Gamage, Catherine A Mullings, Dinesh Majeti, Shirish Goyal, Aaron Gilbee, Nalin Chhibber, Adam Ginzberg & Angela Richmond-Fuller |
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Designing A Constitution for a Self-Governing Crowdsourcing Marketplace
Mark E Whiting, Dilrukshi Gamage, Shirish Goyal, Aaron Gilbee, Dinesh Majeti, Angela Richmond-Fuller, Mohamed Hashim Salih, Tejas Seshadri Sarma, Vinayak Mathur, Manoj Pandey, Snehalkumar Gaikwad, Rajan Vaish & Michael S Bernstein |
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Improving assessment on MOOCs through peer identification and aligned incentives
Dilrukshi Gamage, Mark E Whiting, Thejan Rajapakshe, Haritha Thilakarathne, Indika Perera & Shantha Fernando |
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Efficient Automatic Induction of Rules in Biological Systems
Mark E Whiting, Phil R Leduc & Jon Cagan |
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Prototype tasks: improving crowdsourcing results through rapid, iterative task design
Snehalkumar Gaikwad, Nalin Chhibber, Vibhor Sehgal, Alipta Ballav, Catherine Mullings, Ahmed Nasser, Angela Richmond-Fuller, Aaron Gilbee, Dilrukshi Gamage & Mark Whiting |
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| 2016 |
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms
Snehalkumar Gaikwad, Durim Morina, Adam Ginzberg, Catherine Mullings, Shirish Goyal, Dilrukshi Gamage, Christopher Diemert, Mathias Burton, Sharon Zhou, Mark Whiting, Karolina Ziulkoski, Alpina Ballav, Aaron Gilbee, Senadhipathige S Niranga, Vibhor Sehgal, Jasmine Lin, Leonardy Kristianson, Angela Richmond-Fuller, Jeff Regino, Nalin Chhibber, Dinesh Majeti, Sachin Sharma, Kamila Mananova, Dinesh Dhakal, William Dai, Victoria Purynova, Samarth Sandeep, Varshine Chandrakanthan, Tejas Sharma, Sekandar Matin, Ahmed Nasser, Rohit Nistala, Alexander Stolzoff, Kristy Milland, Vinayak Mathur, Rajan Vaish & Michael S Bernstein |
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The customer is always right: analyzing existing market feedback to improve TVs
Jose Valderrama, Laure Rawley, Simon Smith & Mark Whiting |
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| 2010 |
A formal approach for the interpretation of cultural content(s): Evolution of a Korean traditional pattern, Bosangwhamun
Ji-Hyun Lee, Hyoung-June Park, Sungwoo Lim, Sun-Joong Kim, Haelee Jung & Mark E Whiting |
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| 2009 |
Early exploration of cloud computing for design practice and education
Mark E Whiting & Soumitri Varadarajan |
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