Employment

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

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

2018→ 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
2009–11 Teaching assistant in Design product system & Emotional design at KAIST Industrial Design

Community

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

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
2019 Honorable Mention at AAAI Conference on Human Computation and Crowdsourcing (HCOMP) Fair Work: Crowd Work Minimum Wage with One Line of Code
2019–20 Research grant at HPDTRP Re-DNA: Re-designing nonverbal actions for design team collaborations — $150,000
2018–19 Research grant at HPDTRP Design team fracture — $150,000
2009 Design award at Red Dot
2009–10 Full scholarship at KAIST
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)

Service

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

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.

2019–20 U Penn

Paulina Paiz

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

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)

2013–16 CMU

Wing Tung Wong

PublicationsPublicationsorcid.org/0000-0002-6395-7833

Can we just start over again? Resetting remote team dynamics Non archival

Non archival Mark E. Whiting and Michael S. Bernstein. 2020. Can we just start over again? Resetting remote team dynamics.

Beyond Zooming there: Understanding nonverbal interaction online Non archival

Non archival So Yeon Park and Mark E. Whiting. 2020. Beyond Zooming there: Understanding nonverbal interaction online.

Empirica: a virtual lab for high-throughput macro-level experiments Preprint

Preprint 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. arXiv preprint arXiv:2006.11398

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

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

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

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.

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

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.

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.

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

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

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

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

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

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.

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.