Employment |
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2019→ | Postdoc in CIS at SEAS & OID at Wharton at University of Pennsylvania (U Penn) under Duncan J. Watts | |
2017–19 | Postdoc in HCI group in computer science at Stanford under Michael S. Bernstein | |
2012 | Visiting scholar in Cultural Technology at KAIST under Meeyoung Cha | |
2008–12 | Design lead at Adaptive Equipment | |
Education |
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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 | |
Community |
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2020 | Participant in the Duke chapter at Summer Institute in Computational Social Science (SICSS) | |
2018 | Mentor in cohort 6 at Mozilla Open Leaders | |
2018 | Project team in cohort 5 at Mozilla Open Leaders | |
2018 | Fellow at IDEO CoLab | |
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) | |
2009–12 | Founder & director at TEDxKAIST | |
Awards |
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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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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 — $150,000 | |
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 |
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2019→ | Doctoral colloquium mentor (DC) at HCOMP’19 | |
2017→ | Program committee (PC) at 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 | |
2015 | CFO at National Association of Graduate and Professional Students (NAGPS) | |
2014–15 | VP finance at CMU Graduate Student Assembly (GSA) | |
2009→ | Reviewer (R2) at NSF, PLOS ONE, AAAI, CHI, CSCW, CC, MobileHCI, IDETC, IASDR, DIS, UIST, TSC, IUI, ICWSM, Behavior & Information Technology | |
Invited talks |
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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) | |
Mentees Submit an update. |
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2019–20 | U Penn | |
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
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 | |
PublicationsPublications ORCiD: 0000-0002-6395-7833 |
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CHI'21 |
Can Online Juries Make Consistent, Repeatable Decisions?
Xinlan Emily Hu, Mark E. Whiting, and Michael S. Bernstein. 2021. Can Online Juries Make Consistent, Repeatable Decisions?. In CHI Conference on Human Factors in Computing Systems (CHI ’21), May 8–13, 2021, Yokohama, Japan. ACM, New York, NY, USA, 16 pages. DOI: 10.1145/3411764.3445433 |
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BRM |
Empirica: a virtual lab for high-throughput macro-level experiments
Abdullah Almaatouq, Joshua Becker, James P. Houghton, Nicolas Paton, Duncan J. Watts and Mark E. Whiting. 2020. Empirica: a virtual lab for high-throughput macro-level experiments. Forthcoming in Behavior research methods. |
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CSCW'20 |
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, and Michael S. Bernstein. 2020. Parallel Worlds: Repeated Initializations of the Same Team To Improve Team Viability. Proc. ACM Hum.-Comput. Interact. 4, CSCW1, Article 67 (May 2020), 22 pages. DOI: 10.1145/3392877 |
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CSCW'20 |
My Team Will Go On: Differentiating High and Low Viability Teams Through Team Interaction
Honorable Mention
Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, Ngodjigui Junior Diarrassouba, Mark E. Whiting, Michael S. Bernstein. 2020. My Team Will Go On: Differentiating High and Low Viability Teams Through Team Interaction. Proc. ACM Hum.-Comput. Interact. 4, CSCW3, Article 230 (December 2020), 27 pages. DOI: 10.1145/3432929 Honorable Mention |
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MSR NFW'20 |
Can we just start over again? Resetting remote team dynamics
Mark E. Whiting and Michael S. Bernstein. 2020. Can we just start over again? Resetting remote team dynamics. |
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MSR NFW'20 |
Beyond Zooming there: Understanding nonverbal interaction online
So Yeon Park and Mark E. Whiting. 2020. Beyond Zooming there: Understanding nonverbal interaction online. |
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CSCW'19 |
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 and Michael S. Bernstein. 2019. Did It Have To End This Way? Understanding the Consistency of Team Fracture. Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 209. DOI: 10.1145/3359311 |
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HCOMP'19 |
Fair Work: Crowd Work
Minimum Wage with One Line of Code
Honorable Mention
Mark E. Whiting, Grant Hugh and Michael S. Bernstein. Fair Work: Crowd Work Minimum Wage with One Line of Code. Seventh AAAI Conference on Human Computation and Crowdsourcing. 2019. Honorable Mention |
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USPTO |
Searching of data structures in
pre-processing data for a machine
learning classifier
Cagan, Jonathan, Phil LeDuc, and Mark E. Whiting, inventors; Carnegie Mellon University, assignee. Searching of data structures in pre-processing data for a machine learning classifier. U.S. Patent Application No. 15/926,790. 2018 Sep 27. |
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AI EDAM |
Efficient
Probabilistic Grammar Induction for Design
Whiting, M.E., J. Cagan and P. R. LeDuc, Efficient Probabilistic Grammar Induction for Design. AI EDAM, Vol 32, No. 2, pp. 177-188, 2018. DOI: 10.1017/S0890060417000464 |
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HCOMP'17 |
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 E. Whiting, Sharon Zhou, Sekandar Matin, Senadhipathige Niranga, Shirish Goyal, Dinesh Majeti, Preethi Srinivas, Adam Ginzberg, Kamila Mananova, Karolina Ziulkoski, Jeff Regino, Tejas Sarma, Akshansh Sinha, Abhratanu Paul, Christopher Diemert, Mahesh Murag, William Dai, Manoj Pandey, Rajan Vaish and Michael S. Bernstein. Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design. Fifth AAAI Conference on Human Computation and Crowdsourcing. 2017. |
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CI'17 |
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 and Michael S. Bernstein. Designing A Constitution for a Self-Governing Crowdsourcing Marketplace. 2017. Collective Intelligence. |
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L@S'17 |
Improving Assessment on MOOCs Through Peer Identification
and Aligned
Incentives
Dilrukshi Gamage, Mark E. Whiting, Thejan Rajapakshe, Haritha Thilakarathne, Indika Perera, and Shantha Fernando. 2017. Improving Assessment on MOOCs Through Peer Identification and Aligned Incentives. In Proceedings of the Fourth ACM conference on Learning@Scale. ACM, New York, NY, USA. DOI: 10.1145/3051457.3054013 |
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CSCW'17 |
Crowd Guilds: Worker-led
Reputation and Feedback on Crowdsourcing
Platforms
Mark E. Whiting, Dilrukshi Gamage, Snehalkumar 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, and Michael S. Bernstein. 2017. Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, New York, NY, USA, 1902-1913. DOI: 10.1145/2998181.2998234 |
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CSCW'17 |
The Daemo Crowdsourcing
Marketplace
Snehalkumar Gaikwad, Mark E. Whiting, Dilrukshi Gamage, Catherine A. Mullings, Dinesh Majeti, Shirish Goyal, Aaron Gilbee, Nalin Chhibber, Adam Ginzberg, Angela Richmond-Fuller, Sekandar Matin, Vibhor Sehgal, Tejas Seshadri Sarma, Ahmed Nasser, Alipta Ballav, Jeff Regino, Sharon Zhou, Kamila Mananova, Preethi Srinivas, Karolina Ziulkoski, Dinesh Dhakal, Alexander Stolzoff, Senadhipathige S. Niranga, Mohamed Hashim Salih, Akshansh Sinha, Rajan Vaish, and Michael S. Bernstein. 2017. The Daemo Crowdsourcing Marketplace. In Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing Companion. ACM, New York, NY, USA, 1-4. DOI: 10.1145/3022198.3023270 |
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DCC'16 |
Automated Induction of General
Grammars for Design
Whiting, Mark E., Cagan, J. and LeDuc, P., 2017. Automated Induction of General Grammars for Design. In Design Computing and Cognition'16. Springer, Cham. 267-278 DOI: 10.1007/978-3-319-44989-0_15 |
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UIST'16 |
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 E. Whiting, Karolina Ziulkoski, Alipta Ballav, Aaron Gilbee, Senadhipathige S. Niranga, Vibhor Sehgal, Jasmine Lin, Leonardy Kristianto, Angela Richmond-Fuller, Jeff Regino, Nalin Chhibber, Dinesh Majeti, Sachin Sharma, Kamila Mananova, Dinesh Dhakal, William Dai, Victoria Purynova, Samarth Sandeep, Varshine Chandrakanthan, Tejas Sarma, Sekandar Matin, Ahmed Nasser, Rohit Nistala, Alexander Stolzoff, Kristy Milland, Vinayak Mathur, Rajan Vaish, and Michael S. Bernstein. 2016. Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology. ACM, New York, NY, USA, 625-637. DOI: 10.1145/2984511.2984542 |
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CAADRIA'10 |
A Formal Approach for the
Interpretation of Cultural Content:
Evolution of a Korean traditional pattern, Bosangwhamun
Lee, J.H., Park, H.J, Lim, S., Kim, S.J., Jung, H. & Whiting, Mark E., 2010. A Formal Approach for the Interpretation of Cultural Content: Evolution of a Korean traditional pattern, Bosangwhamun. Proceedings of Computer Aided Architectural Design in Asia, Hong-Kong Mar. |
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IASDR'09 |
Early
Exploration of Cloud Computing for Design Practice &
Education
Whiting, Mark E. & Varadarajan, S., 2009. Early Exploration of Cloud Computing for Design Practice & Education. Proceedings of International Association of Societies of Design Research, Seoul Nov. |