# Hong Qu ## About Hong Qu Hong Qu is an [adjunct lecturer](https://www.hks.harvard.edu/faculty/hong-qu) and research fellow at the Malcolm Wiener Center. at Harvard Kennedy School. As one of the first engineers on YouTube’s startup team, he designed key features including the homepage, channels, and video sharing. He was a visiting Nieman Fellow at Harvard in 2013 and is a graduate of Wesleyan University and the School of Information at UC Berkeley. Hong grew up in the [coolest neighborhood](https://www.metro.us/new-york/and-the-coolest-neighborhood-in-america-is/zsJpfD---Ea7neCWM2R2GM) in America: [Sunset Park](https://www.nytimes.com/2016/01/24/realestate/sunset-park-brooklyn-not-quite-trendy.html), Brooklyn. Learn more about the [classes](https://courses.my.harvard.edu/psp/courses/EMPLOYEE/EMPL/h/?tab=HU_CLASS_SEARCH&SearchReqJSON=%7B%22ExcludeBracketed%22:true,%22SaveRecent%22:true,%22Facets%22:%5B%5D,%22PageNumber%22:1,%22SortOrder%22:%5B%22SCORE%22%5D,%22TopN%22:%22%22,%22PageSize%22:%22%22,%22SearchText%22:%22(IS_SCL_DESCR_IS_SCL_DESCRL:%5C%22Hong%20Qu%5C%22)%22%7D) Hong teaches at Harvard. ### Teacher - Harvard Kennedy School course [Data and Information Visualization](/classes/data-and-information-visualization) and [Advanced Data and Information Visualization](https://www.hks.harvard.edu/courses/advanced-data-and-information-visualization) ### Student - PhD candidate at [Network Science Institute](https://www.networkscienceinstitute.org/) at Northeastern University - [The Covid States](https://covidstates.org/) research project - [Trust in Institutions chart](https://www.covidstates.org/trust-in-institutions) - [Executive Approval dashboard](https://www.covidstates.org/executive-approval) ### Researcher - Berkman Klein Center Assembly project - [AI Blindspot](https://aiblindspot.media.mit.edu/) is a discovery process for spotting unconscious biases and structural inequalities in AI systems - Stanford Center for Comparative Studies in Race and Ethnicity fellowship - [Shining a Headlight on AI Blindspots](https://hai.stanford.edu/news/hong-qu-shining-headlight-ai-blindspots) ## Publication ### The Ends of Artificial Intelligence Qu, Hong. "THE ENDS OF ARTIFICIAL INTELLIGENCE." In *The Ends of Knowledge: Outcomes and Endpoints Across the Arts and Sciences*, edited by Seth Rudy and Rachael Scarborough King, 139–150. London,: Bloomsbury Academic, 2023. Accessed June 4, 2023. [http://dx.doi.org/ chevron\_right](http://dx.doi.org/10.5040/9781350242326.ch-10) [Amazon chevron\_right](https://www.amazon.com/Ends-Knowledge-Outcomes-Endpoints-Sciences-ebook/dp/B0C1KWVG4W/ref=tmm_kin_swatch_0?_encoding=UTF8&qid=&sr=) [Bloomsbury chevron\_right](https://www.bloomsburycollections.com/book/the-ends-of-knowledge-outcomes-and-endpoints-across-the-arts-and-sciences/ch10-the-ends-of-artificial-intelligence) ![b0c1kwvg4w.01._sclzzzzzzz_sx500_.jpg](/sites/g/files/omnuum3131/files/styles/hwp_1_1__720x720_scale/public/hongqu/files/b0c1kwvg4w.01._sclzzzzzzz_sx500__0.jpg?itok=ey8KTlTI) ## A User-Centered Design Process for Data-Driven Policymaking ![A User-Centered Design Process for Data-Driven Policymaking](/sites/g/files/omnuum3131/files/styles/hwp_1_1__960x960_scale/public/hongqu/files/hks_case_a_user-centered_design_process_for_data-driven_policymaking.png?itok=S7i5RcvN) ### Abstract: Well-conceived, user-friendly data visualizations have the potential to bring fresh perspectives derived from analyzing, visualizing, and presenting data to inform evidence-based policymaking. This case uses the Metroverse project from the Growth Lab at Harvard University as an example to demonstrate the value of taking a user-centered mindset to build effective, online data platforms. The Metroverse project is a high-stakes data project that has the potential to influence policy matters in large cities and metropolitan areas, potentially impacting millions of urban residents. This case enables students to design storytelling data visualization projects using the three components of the case, (a case study; “Detroit Scenario”; an issue brief, “A User-Centered Design Process for Data-Driven Policymaking”; and the Metroverse website), and a workshop kit of Metroverse materials that includes data sets, research resources, and user profiles, developed by the Growth Lab team through a user-centered design process. In particular, the issue brief introduces the user-centered design process that was followed to create the prototype for Harvard Growth Lab’s Metroverse, an online tool that allows users to explore the industrial composition of more than 1,000 cities worldwide to understand urban economic composition and growth opportunities in cities. With this tool, a city's know-how is made “visible” through a series of interactive visualizations. Metroverse builds on this information to provide customized recommendations for growth, diversification, and comparison. The issue brief covers product discovery, user research, and design phases with the goal of providing important insights into creating a user experience design for data exploration platforms that translate complex scientific research into accessible visualizations for stakeholders involved in policymaking. ### Learning Objectives: - Understand user-centered design methods and measurements: product discovery, user experience research, persona building, user testing, wireframing, and prototyping; - Develop an understanding of how policymakers can use data visualization dashboards to learn about economic growth; - Learn how to turn scientific research and data about the economy into visual narratives for policymakers and government officials; - Design effective data visualization user experiences for a diverse group of users, and; - Address common challenges in communicating research and data insights to a wide range of audiences with different backgrounds. ## Recent Publications Download 5 citations download- [BibTeX](/bibcite/export?pager_style=no_pager&number_of_items=5&sort_field=bibcite_year--desc&&content_filter%5B0%5D=727571&content_filter%5B1%5D=722031&content_filter%5B2%5D=702486&content_filter%5B3%5D=702481&content_filter%5B4%5D=683023&&format=bibtex) - [EndNote X3 XML](/bibcite/export?pager_style=no_pager&number_of_items=5&sort_field=bibcite_year--desc&&content_filter%5B0%5D=727571&content_filter%5B1%5D=722031&content_filter%5B2%5D=702486&content_filter%5B3%5D=702481&content_filter%5B4%5D=683023&&format=endnote8) - [EndNote 7 XML](/bibcite/export?pager_style=no_pager&number_of_items=5&sort_field=bibcite_year--desc&&content_filter%5B0%5D=727571&content_filter%5B1%5D=722031&content_filter%5B2%5D=702486&content_filter%5B3%5D=702481&content_filter%5B4%5D=683023&&format=endnote7) - [Endnote tagged](/bibcite/export?pager_style=no_pager&number_of_items=5&sort_field=bibcite_year--desc&&content_filter%5B0%5D=727571&content_filter%5B1%5D=722031&content_filter%5B2%5D=702486&content_filter%5B3%5D=702481&content_filter%5B4%5D=683023&&format=tagged) - [Marc](/bibcite/export?pager_style=no_pager&number_of_items=5&sort_field=bibcite_year--desc&&content_filter%5B0%5D=727571&content_filter%5B1%5D=722031&content_filter%5B2%5D=702486&content_filter%5B3%5D=702481&content_filter%5B4%5D=683023&&format=marc) - [PubMedId](/bibcite/export?pager_style=no_pager&number_of_items=5&sort_field=bibcite_year--desc&&content_filter%5B0%5D=727571&content_filter%5B1%5D=722031&content_filter%5B2%5D=702486&content_filter%5B3%5D=702481&content_filter%5B4%5D=683023&&format=pubmed_id) - [RIS](/bibcite/export?pager_style=no_pager&number_of_items=5&sort_field=bibcite_year--desc&&content_filter%5B0%5D=727571&content_filter%5B1%5D=722031&content_filter%5B2%5D=702486&content_filter%5B3%5D=702481&content_filter%5B4%5D=683023&&format=ris) ### 2023 Annie White, Nil Tuzcu, and Hong QU. 2023. “[A User-Centered Design Process for Data-Driven Policymaking](/publications/user-centered-design-process-data-driven-policymaking)” Annie White, Nil Tuzcu, and Hong QU. 2023. “[A User-Centered Design Process for Data-Driven Policymaking](/publications/user-centered-design-process-data-driven-policymaking)” - add\_circle\_outline do\_not\_disturb\_on Abstract - [ descriptionPublisher's Version](https://case.hks.harvard.edu/a-user-centered-design-process-for-data-driven-policymaking/) Well-conceived, user-friendly data visualizations have the potential to bring fresh perspectives derived from analyzing, visualizing, and presenting data to inform evidence-based policymaking. This case uses the Metroverse project from the Growth Lab at... - [ descriptionPublisher's Version](https://case.hks.harvard.edu/a-user-centered-design-process-for-data-driven-policymaking/) Rachael Scarborough King and Seth Rudy. 2023. “[The Ends of Knowledge: Academics Need to Think Harder about the Purpose of Their Disciplines and Whether Some of Those Should Come to an End](https://aeon.co/essays/should-academic-disciplines-have-both-a-purpose-and-a-finish-date)” Rachael Scarborough King and Seth Rudy. 2023. “[The Ends of Knowledge: Academics Need to Think Harder about the Purpose of Their Disciplines and Whether Some of Those Should Come to an End](https://aeon.co/essays/should-academic-disciplines-have-both-a-purpose-and-a-finish-date)” - add\_circle\_outline do\_not\_disturb\_on Abstract - [ descriptionPublisher's Version](https://aeon.co/essays/should-academic-disciplines-have-both-a-purpose-and-a-finish-date) Right now, many forms of knowledge production seem to be facing their end. The crisis of the humanities has reached a tipping point of financial and popular disinvestment, while technological advances such as new artificial intelligence programmes may... - [ descriptionPublisher's Version](https://aeon.co/essays/should-academic-disciplines-have-both-a-purpose-and-a-finish-date) Emily Olson. 2023. “[How the Boston Marathon Bombings Changed Twitter, Media and How We Process Tragedy](https://www.npr.org/2023/04/15/1170082886/marathon-bombings-twitter-media-boston-strong)” Emily Olson. 2023. “[How the Boston Marathon Bombings Changed Twitter, Media and How We Process Tragedy](https://www.npr.org/2023/04/15/1170082886/marathon-bombings-twitter-media-boston-strong)” - [ descriptionPublisher's Version](https://www.npr.org/2023/04/15/1170082886/marathon-bombings-twitter-media-boston-strong) - [ descriptionPublisher's Version](https://www.npr.org/2023/04/15/1170082886/marathon-bombings-twitter-media-boston-strong) Hong QU and Seth Rudy. 2023. “[The Ends Of Artificial Intelligence](https://www.bloomsburycollections.com/book/the-ends-of-knowledge-outcomes-and-endpoints-across-the-arts-and-sciences/ch10-the-ends-of-artificial-intelligence)”. In The Ends of Knowledge: Outcomes and Endpoints Across the Arts and Sciences, edited by Rachael Scarborough King, Pp. 139–150. London: Bloomsbury Hong QU and Seth Rudy. 2023. “[The Ends Of Artificial Intelligence](https://www.bloomsburycollections.com/book/the-ends-of-knowledge-outcomes-and-endpoints-across-the-arts-and-sciences/ch10-the-ends-of-artificial-intelligence)”. In The Ends of Knowledge: Outcomes and Endpoints Across the Arts and Sciences, edited by Rachael Scarborough King, Pp. 139–150. London: Bloomsbury - add\_circle\_outline do\_not\_disturb\_on Abstract - [ descriptionPublisher's Version](https://www.bloomsburycollections.com/book/the-ends-of-knowledge-outcomes-and-endpoints-across-the-arts-and-sciences/ch10-the-ends-of-artificial-intelligence) The powers and possibilities of artificial intelligence (AI) are boundless, as computer scientists and philosophers formalize novel cognitive and moral capabilities, progressively expanding the boundaries of our imaginations. This monumental technological... - [ descriptionPublisher's Version](https://www.bloomsburycollections.com/book/the-ends-of-knowledge-outcomes-and-endpoints-across-the-arts-and-sciences/ch10-the-ends-of-artificial-intelligence) ### 2021 2021. “[Interdisciplinary Learning through Accessible, Intentional Technology](https://vpal.harvard.edu/interdisciplinary-learning-through-accessible-intentional-technology)” 2021. “[Interdisciplinary Learning through Accessible, Intentional Technology](https://vpal.harvard.edu/interdisciplinary-learning-through-accessible-intentional-technology)” - add\_circle\_outline do\_not\_disturb\_on Abstract - [ descriptionPublisher's Version](https://vpal.harvard.edu/interdisciplinary-learning-through-accessible-intentional-technology) **Hong Qu, Adjunct Lecturer in Public Policy**, taught *[Data Visualization](https://locator.tlt.harvard.edu/course/hks-213411/2021/fall2/17874)* virtually last spring to over 70 students from different Harvard Schools, levels of experience, and corners of the world. To foster a close-knit community among students from diverse... - [ descriptionPublisher's Version](https://vpal.harvard.edu/interdisciplinary-learning-through-accessible-intentional-technology) [ More arrow\_circle\_right ](/publications)