• Hi!
    I'm Zhiqiu

    I am a Computer Science Postdoc Fellow at UMass Amherst since 2021 Fall!

  • I am interested in Responsible AI.

    I want to know how to make AI for Social Good.

    Responsible and Explainable AI? Data Science? Smart Cities?

About Me

Who Am I?

I am a postdoc fellow in Department of Computer Science in CICS at UMass Amherst starting from 2021 Fall. I am affiliated with HCI-VIS Lab and Center for Data Science. I was awarded with Postdoctoral Fellowship in Data Science at UMass Amherst. Previously, I was selected as a Presidential Fellow at School of Data Science, and a Praxis Fellow of the Digital Humanities at University of Virginia. I also served as a graduate GIS technician at UVA's Scholars' Lab Spatial Tech group.

I received my Ph.D. in Constructed Environment from University of Virginia, Masters from University at Buffalo, and B.Eng. from Sichuan University. My research is highly interdisciplinary and focuses on empowering AI and data-informed decision-making for social good. My research interests include a variety of topics about conversational AI, data science, and smart cities, including human-computer interaction, responsible conversational AI for social good, computational social science, data-smart transportation, human mobility information retrieval with text mining, machine learning in travel behavior analysis.

Research Interests

Responsible Conversational AI

Human-Computer Interaction

Data Science and Informatics

Computational Social Science

Data-Smart Transportation

Smart Cities

Education

Degrees

GPA: 3.95/4
University of Virginia

GPA: 3.89/4
University at Buffalo, The State University of New York

GPA: 3.82/4
Sichuan University


Certificates

University of California San Diego

University of Illinois at Urbana-Champaign

University at Buffalo, The State University of New York

Fellowships and Grants

    1. CDS (Center of Data Science) Postdoctoral Fellowship. University Grant, 2021-present, Department of Computer Science, Manning College of Information & Computer Sciences, University of Massachusetts Amherst, Awardee.
      Research project: Responsible Conversational AI (Chatbot) for Social Good


    2. Double Hoo Research Grant. University Grant, 2018-2019, University of Virginia, Principle Investigator. Total amount: $9,000.
      Research project: Perceptions and Attitudes towards Driverless Shuttles: Integrating Social Media Data and Online Survey Data


    3. Presidential Fellowship in Data Science. Fellowship, 2018-2019, University of Virginia, Awardee. Total amount: $60,000 (tuition, health insurance and fees $30,000, fellowship grant $30,000).
      Research project: Evaluating air pollution exposure and environmental justice by integrating novel high-resolution nitrogen dioxide and human activity datasets


    4. Praxis Program Fellowship. Fellowship, 2018-2019, University of Virginia, Awardee. Total amount: $40,000 (tuition, health insurance and fees $30,000, fellowship grant $10,000).
      Research project: Unclosure: Exploring the Possibilities that the Public Domain holds for Research, Pedagogy, and Play.


    5. PhD in the Constructed Environment Research and Travel Grant. University Grant, 2018-2019, University of Virginia, Solo Principle Investigator. Total amount: $3,000.
      Research project: Geosocial Media and Travel Experience: A Text Mining Approach


    6. PhD in the Constructed Environment Research and Travel Grant. University Grant, 2017-2018, University of Virginia, Solo Principle Investigator. Total amount: $2,000.
      Research project: Parking Sentiment and the Supplies: A Sentiment Analysis of Online Reviews


    7. MATS UTC Research Grant (Mid-Atlantic Transportation Sustainability University Transportation Center). 2017, Graduate Research Assistant. Total amount: $45,338.
      Research project: Planning for Walking and Cycling in an Autonomous Vehicle Future


    8. PhD in the Constructed Environment Research and Travel Grant. University Grant, 2017, University of Virginia, Solo Principle Investigator. Total amount: $750.
      Research project: Examining Bikeability using GIS Modeling and CTPP (Census Transportation Planning Products) Data

Publications


    Working Paper
    Responsible Conversational AI: Creating a Framework of Trust in Conversational AI
    Zhiqiu Jiang, et al.


    Peer-reviewed Conference Proceedings
    1. Building a Conversational AI for Social Good
      Zhiqiu Jiang, et al. (Under Review)


    2. Public Perceptions and Attitudes Towards Driverless Technologies in the United States: A Text Mining of Twitter Data
      Zhiqiu Jiang, Max Zheng
      Conference proceedings in the CUPUM (Computational Urban Planning and Urban Management) 2021 Conference: "Urban Informatics for Future Cities". (2021). DOI: https://doi.org/10.1007/978-3-030-76059-5_7


    3. New Energy in Smart Mobility: Evaluating Fuel Tax Revenue Impacts of Electric Vehicle Adoption in Virginia Counties
      Wenjian Jia, Zhiqiu Jiang, Tong Donna Chen, and Rajesh Paleti
      Conference proceedings in International Conference on Transportation and Development 2019. (2019). DOI: https://doi.org/10.1061/9780784482582.009

      Best Paper Award



    Refereed Journal Articles
    1. From Early Adopters to Mainstream Consumers: A Comparison on Preferences for Zero-emission Vehicles
      Wenjian Jia, Zhiqiu Jiang. (Under Review)


    2. Acceptance of Driverless Shuttles in Pilot and Non-pilot Cities
      Zhiqiu Jiang, Max Zheng, Andrew Mondschein
      Journal of Public Transportation. (2022). DOI: https://doi.org/10.1016/j.jpubtr.2022.100018


    3. Analyzing Parking Sentiment and its Relationship to Parking Supply and the Built Environment using Online Reviews
      Zhiqiu Jiang, Andrew Mondschein
      Journal of Big Data Analytics in Transportation. (2021). DOI: https://doi.org/10.1007/s42421-021-00036-1


    4. Synthesizing Neighborhood Preferences for Automated Vehicles
      Wenwen Zhang, Kaidi Wang, Sicheng Wang, Zhiqiu Jiang, Andrew Mondschein, Robert Noland
      Journal of Transportation Research Part C: Emerging Technologies. (2020). DOI: https://doi.org/10.1016/j.trc.2020.102774


    5. Spatial Distributions of Attitudes and Preferences towards Autonomous Vehicles
      Zhiqiu Jiang, Sicheng Wang, Andrew Mondschein, Robert Noland
      Journal of Transport Findings. (2020). DOI: https://doi.org/10.32866/001c.12653


    6. Attitudes towards Privately-Owned and Shared Autonomous Vehicles
      Sicheng Wang, Zhiqiu Jiang, Robert Noland, Andrew Mondschein
      Journal of Transportation Research Part F: Traffic Psychology and Behaviour. (2020). DOI: https://doi.org/10.1016/j.trf.2020.05.014


    7. Using Social Media to Evaluate Associations between Parking Supply and Parking Sentiment
      Andrew Mondschein, David King, Christopher Hoehne, Zhiqiu Jiang, and Mikhail Chester
      Journal of Transportation Research Interdisciplinary Perspectives. (2020). DOI: https://doi.org/10.1016/j.trip.2019.100085


    8. Examining the Effects of Proximity to Rail Transit on Travel to Non-Work Destinations: Evidence from Yelp Data for Cities in North America and Europe
      Zhiqiu Jiang, Andrew Mondschein
      Journal of Land Use and Transport. Vol. 12 No. 1 (2019). DOI: https://doi.org/10.5198/jtlu.2019.1409


    9. Planning for Walking and Cycling in An Autonomous-Vehicle Future
      Bryab Botello, Ralph Buehler, Steve Hankey, Andrew Mondschein, and Zhiqiu Jiang
      Journal of Transportation Research Interdisciplinary Perspectives. Vol. 1, (2019). DOI: https://doi.org/10.1016/j.trip.2019.100012


    10. Evaluating Fuel Tax Revenue Impacts of Electric Vehicle Adoption in Virginia Counties: Application of a Bivariate Linear Mixed Count Model
      Wenjian Jia, Zhiqiu Jiang, Tong Donna Chen, and Rajesh Paleti
      Transportation Research Record: Journal of the Transportation Research Board. Vol. 2673(9) 548–561, (2019). DOI: https://doi.org/10.1177/0361198119844973


    11. A Psychological Approach to ‘Public Perception’of Land-Use Planning: A Case Study of Jiangsu Province, China
      Zhongqiong Qu, Yiming Lu, Zhiqiu Jiang, Ellen Bassett, and Tao Tan
      Sustainability. vol. 10(9) 1-20, (2018). DOI: https://doi.org/10.3390/su10093056


    Peer-reviewed Book Chapter
    1. Public Perceptions and Attitudes Towards Driverless Technologies in the United States: A Text Mining of Twitter Data
      Zhiqiu Jiang, Max Zheng
      Book Chapter for the CUPUM (Computational Urban Planning and Urban Management) Springer book 2021: Urban Informatics and Future Cities. (2021). DOI: https://doi.org/10.1007/978-3-030-76059-5_7

Conference Attendance

    2022 ACM Conference on Human Factors in Computing Systems (CHI)
    Attendee

    2021 CUPUM (Computational Urban Planning and Urban Management) Conference
    Public Perceptions and Attitudes Towards Driverless Technologies in the United States: A Text Mining of Twitter Data
    Zhiqiu Jiang (Presenter), Max Zheng

    2020 NeurIPS Conference (Neural Information Processing Systems)
    Attendee

    2020 IEEE International Conference on Big Data
    Attendee

    2020 ACSP Conference (Association of Collegiate Schools of Planning)
    Examining Transportation Accessibility to Commercial Areas using Phone-based GPS Traces
    Zhiqiu Jiang (Presenter), Andrew Mondschein

    2020 ACSP Conference (Association of Collegiate Schools of Planning)
    Travel Activity and Air Pollution Exposures: Estimating Racial, Ethnic, and Income Disparities using Fine-scaled NO2 and GPS Data
    Zhiqiu Jiang, Angelique Demetillo, Andrew Mondschein, Sally Pusede

    2020 Pandemic Urbanism Symposium
    Attendee

    2019 NeurIPS Conference (Neural Information Processing Systems)
    Attendee

    2019 ACSP Conference (Association of Collegiate Schools of Planning)
    Effects of the Built Environment on Attitudes toward Autonomous Vehicles
    Zhiqiu Jiang (Presenter), Sicheng Wang, Andrew Mondschein, and Robert Noland

    2019 ACSP Conference (Association of Collegiate Schools of Planning)
    Attitudes toward privately-owned or and shared autonomous vehicles
    Sicheng Wang, Zhiqiu Jiang, Robert Noland, and Andrew Mondschein

    2019 ASCE ICTD (International Conference on Transportation and Development)
    Evaluating Fuel Tax Revenue Impacts of Electric Vehicle Adoption in Virginia Counties: Application of A Bivariate Linear Mixed Count Model
    Wenjian Jia, Zhiqiu Jiang (Co-Presenter), Tong Donna Chen, and Rajesh Paleti

    2019 Women in Data Science Conference
    Research Highlights Sentiment Analysis of Yelp Reviews for Travel Behavior and Experiences
    Zhiqiu Jiang (Presenter), Andrew Mondschein

    2019 TRB Conference (National Academy of Sciences Transportation Research Board)
    Planning for Walking and Cycling in an Autonomous Vehicle Future
    Bryab Botello, Ralph Buehler, Steve Hankey, Zhiqiu Jiang, and Andrew Mondschein

    2019 TRB Conference (National Academy of Sciences Transportation Research Board)
    Evaluating Fuel Tax Revenue Impacts of Electric Vehicle Adoption in Virginia Counties: Application of a Bivariate Linear Mixed Count Model
    Wenjian Jia, Zhiqiu Jiang (Co-Presenter), Tong Donna Chen, and Rajesh Paleti

    2019 TRB Conference (National Academy of Sciences Transportation Research Board)
    The Effect of the Built Environment on Parking Experiences: Evidence from Sentiment Analysis of Yelp Reviews
    Zhiqiu Jiang (Presenter), Andrew Mondschein

    2018 UVA Diversifying Scholarship Conference
    Utilizing High-Resolution Datasets to Evaluate Air Pollution Exposure Inequities: Case Study: Los Angeles, California
    Angelique Demetillo, Zhiqiu Jiang (Co-Presenter)

    2018 Data Science Institute for Datapalooza
    Evaluating Fuel Tax Revenue Impacts of Electric Vehicle Adoption
    Wenjian Jia, Zhiqiu Jiang (Co-Presenter)

    2018 ACSP Conference (Association of Collegiate Schools of Planning)
    Examining Non-Work Accessibility in Commercial Areas: Evidence of Parking and Nonmotorized Experiences using Sentiment Analysis of Yelp Reviews
    Zhiqiu Jiang (Presenter), Andrew Mondschein

    2018 ACSP Conference (Association of Collegiate Schools of Planning)
    Are People Ready for Fully Autonomous Vehicles?
    Sicheng Wang, Zhiqiu Jiang, Robert Noland, and Andrew Mondschein

    2018 ITEA Conference (International Transportation Economics Association)
    Evaluating Fuel Tax Revenue Impacts of Electric Vehicle Adoption: A County-Based Virginia Case Study
    Wenjian Jia, Zhiqiu Jiang, Tong Donna Chen, and Rajesh Paleti

    2018 TRB Conference (National Academy of Sciences Transportation Research Board)
    Examining the Effects of Proximity to Rail Transit on Travel to Non-Work Destinations: Evidence from Yelp Data for Cities in North America and Europe
    Zhiqiu Jiang (Presenter), Andrew Mondschein

    2017 ACSP Conference (Association of Collegiate Schools of Planning)
    Examining the Influence of Environmental and Socio-Economic Factors on Bicycle Commuting
    Zhiqiu Jiang (Presenter), Guoping Huang

Workshops

    2019 UVA GIS Day Lightning Talk
    GeoSpatial Semantics
    Zhiqiu Jiang

    2019 ILiADs Liberal Arts Digital Scholarship
    Database Design and Practice
    Zhiqiu Jiang

    2019 UVA School of Data Science Presidential Fellow Final Presentations
    Evaluating Air Pollution Exposure and Environmental Justice by Integrating Novel High-Resolution Nitrogen Dioxide and Human Activity Datasets
    Angelique Demetillo, Zhiqiu Jiang, Sally Pusede, and Andrew Mondschein

    2019 UVA Praxis Fellow Final Presentations
    An Act for the Encouragement of Learning
    Catherine Addington, Zhiqiu Jiang, Emily Mellen, Eleanore Neumann, Mathilda Shepard, and Chris Whitehead

    2019 UVA Undergraduate Research Symposium
    Disruption or Adoption? Understanding Perceptions of Driverless Vehicles through Social Media Data Mining
    Max Zheng, Zhiqiu Jiang

    2019 UVA Digital Humannities Workshop Series
    Text Mining and Sentiment Analysis
    Zhiqiu Jiang

    2019 UVA Undergraduate Research Symposium
    Disruption or Adoption? Understanding Perceptions of Driverless Vehicles through Social Media Data Mining
    Max Zheng, Zhiqiu Jiang

    2019 UVA Huskey Research Exhibition
    Text Mining and Sentiment Analysis of Yelp Reviews for Travel Behavior Analysis
    Zhiqiu Jiang, Andrew Mondschein

    2018 LAMI (Leadership Alliance Mellon Initiative) Summer Program Presentation
    Introduction to Digital Tools in Research
    Zhiqiu Jiang

Awards & Honors

    2020 NeurIPS Conference (Neural Information Processing Systems) Student Travel Award
    Awardee: Zhiqiu Jiang

    2020 ACSP Student Travel Award
    Awardee: Zhiqiu Jiang

    2019 NeurIPS Conference (Neural Information Processing Systems) Student Travel Award
    Amount: $1,250 (Full package registration $750, travel grant $500)
    Awardee: Zhiqiu Jiang

    2019 Best Paper Award, ASCE ICTD Conference
    Awardee: Wenjian Jia, Zhiqiu Jiang, Tong Donna Chen, and Rajesh Paleti

    2019 Digital Humanities Workshop Series Grant
    Amount: $250
    Awardee: Zhiqiu Jiang

    2019 ILiADs Liberal Arts Digital Scholarship
    Amount: $500
    Awardee: Zhiqiu Jiang

    2016 University Service Award, University at Buffalo
    Amount: $1,000
    Awardee: Zhiqiu Jiang

    2016 Ibranhim and Viviane Jammal Scholarship, University at Buffalo
    Amount: $1,800
    Awardee: Zhiqiu Jiang

    2015 Tau Sigma Delta Honor Society, University at Buffalo
    Awardee: Zhiqiu Jiang

Teaching

    Instructor

    University of Virginia
    2020 Spring PLAN 2111 GIS for Planners
    # of enrollment: 20
    Undergraduate students from multiple departments (urban planning, architecture, engineering, political science, economics, sociology, etc.) across UVA
    This course provides an introduction to geographic information systems (GIS) concepts and software. In this course, I introduced the concepts of GIS as well as practical trainings on ESRI's ArcGIS suite and Open-source mapping, both in-person and online teaching. My students successfully completed the course and obtained general familiarity with the major functionality of GIS and spatial data visualization.

    2019 Fall PLAN 6040 Quantitative Methods of Planning Analysis (Co-teach with Andrew Mondschein)
    # of enrollment: 12
    Graduate students majoring from urban planning, civil engineering, etc.
    I introduced R programming to the students so that they can apply a set of quantitative methods in the city planning process, including statistical methods, survey methods, census data analysis, program and plan evaluation, and emerging data sources (big data) and methods (text analysis).

    Teaching Assistant

    University of Virginia
    2018 Spring PLAN 6040 Quantitative Methods for Planners

    2017 Fall PLAN 6050 Introduction to Geographic Information Systems

    University at Buffalo
    2016 Spring Urban And Environmental Planning

    2015 Fall Transportation and Urban Life

    2015 Spring Planning Research Projects

    2014 Fall Instruction to Urban Environment

Mentorship

    2019 Double Hoo Research, University of Virginia
    Disruption or Adoption? Understanding Perceptions of Driverless Shuttles through Social Media Data Mining
    Author: Max Zheng
    Advisor: Zhiqiu Jiang, Andrew Mondschein

    Abstract: Increased travel as a result of urbanization and population growth has led to the need for safer, more efficient transportation in US cities. We examines whether the public believes driverless transportation systems could meet this demand by analyzing public social media data from Twitter. Using mined Twitter data (2012 - present), we conduct a two-pronged approach to understand public perceptions of driverless technology. We used a Natural Language Processing approach using topic modeling to infer latent topics of interest related to driverless technology, and developed a sentiment analysis model to uncover the public dominant emotions towards each area of interest. Through topic modeling, we uncovered a set of 5 latent themes consisting of Safety Perceptions, Technology Development, Industrial / System Integration, Milestone and Vision, and Ethics and Policy as well as their classified opinions of positive and negative. The findings indicate that safety, technological progress, and industrial and urban integration are of major concern that largely affect the public’s acceptance of driverless technology. Driverless vehicle developers can leverage these results to influence what functionalities they should improve upon, and how they can shape their marketing campaigns to cater to customers’ needs and expectations. More importantly, the findings will help public transport operators and city planners as they attempt to integrate autonomous vehicles into the urban transportation system.



Research Projects

    Detecting Urban Environments using Deep Learning
    This study seeks to assess urban environments using deep learning algorithms. The built infrastructure data, including building area, green space and trees, and land use classes, is essential to urban development and planning management.

    Examining public perceptions and attitudes towards autonomous shuttles
    This study examines whether the public believes driverless public transportation systems could meet this demand using online survey data from eight US cities.

    A data-driven approach to examine non-commuter parking behavior and experience using crowdsourced location-based data
    This study applies text mining, sentiment analysis and emotion mapping to the crowdsourced social media data - Yelp reviews - for examining the non-commuter parking experience in commercial urban areas and evaluating land use planning performance.

    Big data, transportation accessibility, and travel mode choice
    This study uses text analytics to the Yelp reviews for investigating how the distance to urban rail transit is correlated to different travel mode recommendations in various spatial divisions.

    A machine learning approach to identifying activity/travel behavior using travel survey data and land use data
    This study applies Support Vector Machine (SVM) to 2010 Portland Travel Diary Dataset (>10,000 sample data) for classifying activity/travel behavior based on a number of attributes (i.e., time stamp and land-use type of trip ends, a set of spatiotemporal indices of travel, and demographic and socioeconomic characteristics of respondents).

    Twitter opinion mining and sentiment analysis on driverless technology
    This study develops backend code to map stream of twitter posts to eight different emotions in order to determine perceptions on driverless technology from different demographic groups.

    Identifying factors affecting on employees travel behavior change from automobile to active travel during lunchtime -- a case study in Portland, OR
    This study develops a logistic model to Portland travel survey data for identifying factors affecting employees travel mode change. Findings suggest a growing pattern of active travel (walking and biking) for the second daily trip.

    Assessment of the proposed Purple Line of Washington, D.C., Metro System
    This study develops statistical regression models for economic impacts assessment of the proposed metro line.

    Network analysis of bi-national trade flows data in US and Canada
    This study uses network-analysis model to analyze, compare and visualize flows of two commodities trade between the US and Canada with NodeXL and GIS application. The amount of Bi-National trade volume and direction of the two commodities (Commodity1: Wood & Commodity2: Iron and Steel) are clearly visualized in GIS Flow Mapping, together with the analysis of economic impacts.

News

My Specialty

Skills

Computer Language: R, Python, Octave, CSS, HTML
Data Analysis: ArcGIS, ArcPy, SPSS Statistics, SQL, Microsoft Access
Data Visualization: Tableau, Mapbox, Photoshop, AutoCAD

Get in Touch

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