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Kean University

NSF Build and Broaden Program

Building Social Science Data Analytics and Visualization Skills through Cross-Disciplinary Urban Research

The goal of the NSF Build and Broaden Program at Kean University is to promote faculty and students’ data analytics and visualization skills in cross-disciplinary urban research by supporting research, increase capacity, and foster cross-disciplinary collaborations between social, behavioral and economic (SBE) and science, technology, engineering, and mathematics (STEM) disciplines.

Urban Data Analytics Website

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Apply Now - Undergraduate Research Fellow

Urban Data Analysis

Program Details

The overarching goal of the NSF Build and Broaden Program, Urban Data Analytics at KU is to build an ecosystem whereby faculty in the Social, Behavioral, and Economic Disciplines (SBE) and Science, Technology, Engineering and Mathematics (STEM) disciplines at Kean University can leverage their discipline-specific knowledge and skill sets to engage in cross-disciplinary, collaborative, data-driven urban research. Through a robust set of integrative activities, the program supports contributions to knowledge development and dissemination of urban research specifically and provide opportunities for all faculty and students to develop social science data analytics and visualization skills by promoting data literacy to advance knowledge and skills in data analytics and visualization in urban research, preparing faculty and students at Kean University for the pursuit of projects with social justice relevance, and foster convergence science within and across the SBE and STEM disciplines by developing communities of practice on urban research projects. The program supports measurable improvements in faculty research outcomes, such as more publications, additional proposals for extramural funding, and increased success rates for proposals as well as knowledge dissemination to the academic community and the public. The research teams supported by the grant include a Faculty Fellow, a Faculty Mentor and at least two Undergraduate Research Fellows per team. See current activities and additional information on the Urban Data Analytics Website.

Leadership:

Julia Nevárez, Ph.D. – Principal Investigator

Derrick Swinton, Ph.D. – CO-PI

UDA logo

Program Activities

  • Support for collaborative research teams that include a Faculty Fellow, Faculty Mentor and Undergraduate Research Fellows
  • Grant Writing
  • Publications
  • Conference Travel
  • Capacity Building Workshops
  • Urban Data Analytics Workshops

Participating Programs

  • Sociology
  • STEM
  • Computer Science
  • Computational Sciences and Engineering
  • Mathematical Sciences
  • Environmental Science
  • Fields that utilize Statistics, Data Analytics and Visualization such as Communications, Architecture, Industrial Design, Psychology, Public Administration, Criminal Justice

Research Fellows Support

Faculty Fellows

  • Stipend ($7,500 per year including summer) for faculty research, grant writing, publications per year for a two-year commitment
  • Travel support to attend reginal and national scientific conferences
  • Capacity Building Workshops
  • Data Analytics and Visualization Workshops
  • Mentoring
  • Collaborative team research with Faculty Mentor and Undergraduate Research Fellows

Faculty Mentors

  • Stipend ($3,500 per year including summer) for mentoring Faculty Fellows and Undergraduate Research Fellows in research, grant writing, publications per year
  • Travel support to attend reginal and national scientific conferences
  • Capacity Building Workshops
  • Data Analytics and Visualization Workshops
  • Collaborative team research with Faculty Mentor and Undergraduate Research Fellows

Undergraduate Research Fellows

  • Stipends ($1,000 per semester and $3,500 summer research) per year
  • Travel support to attend reginal and national scientific conferences
  • Data Analytics and Visualization Workshops
  • Mentoring
  • Collaborative team research with Faculty Fellow and Faculty Mentor
New York city skyline

Program Requirements and Eligibility

The Urban Data Analytics is a grant-funded program sponsored by the National Science Foundation (NSF), Build and Broaden Program. The Urban Data Analytics seeks to develop robust data analytics and visualization skills in urban research. The program supports full-time faculty and students to participate in research teams to augment data literacy, democratization of data knowledge and cross-disciplinary urban research by providing mentorship, capacity building and hands-on data analytics and visualization experiences while furthering conceptualizations on what constitutes urban research broadly understood.

For more information on the NSF Build and Broaden Program, see Build and Broaden: Enhancing Social, Behavioral and Economic Science Research and Capacity at Minority Serving Institutions (B2)

Participants must:

  • Be full-time faculty, student at Kean University
  • Undergraduate Research Fellows mut have a cumulative GPA of 3.5 (3.2 STEM)
  • Commit to actively participate in collaborative research
  • Be engaged, self-motivated, and committed for the duration of the award
  • Apply online with all required materials (unofficial transcript for students, personal statement, Resume, etc)

All Participating Fellows must:

  • Attend Urban Data Analytics Workshops (faculty and students)
  • Attend Capacity Building Workshops (faculty)
  • Meet regularly in research teams during the academic year and summer
  • Maintain regular communication with grant coordinator representatives
  • Participate in Kean University Research Days to showcase research supported by the grant
  • Complete CITI Program required training for Responsible Conduct of Research (RCR) Humanities, Social Sciences, Education, and Arts

Timeline

Apply Now - Faculty Fellow

Apply Now - Faculty Mentor

Apply Now - Undergraduate Research Fellow

Faculty Fellows

  • Take CITI Responsible Conduct of Research Training
  • Engaged in collaborative research with Faculty Fellow and Undergraduate Research Fellow
  • Attend Urban Data Analytics Workshops and presentations
  • Attend Capacity Building Workshops
  • Meet regularly with Faculty Mentor and Undergraduate Research Fellows
  • Maintain regular communication with grant coordinator representatives
  • Develop research plan with Faculty Mentor and Undergraduate Research Fellows for the academic year and summer
  • Complete and submit Reflexivity Statement of grant experience yearly
  • Consider teaching a course in the Urban Data Analytics Minor
  • Submit an abstract for at least one national conference in your discipline and present at the conference if accepted, preferably with undergraduate research fellows

Faculty Mentors

  • Take CITI Responsible Conduct of Research Training
  • Engaged in collaborative research with Faculty Fellow and Undergraduate Research Fellow
  • Attend Urban Data Analytics Workshops and presentations
  • Attend Capacity Building Workshops
  • Meet regularly with Faculty Mentor and Undergraduate Research Fellows
  • Maintain regular communication with grant coordinator representatives
  • Develop research plan with Faculty Fellow and Undergraduate Research Fellows for the academic year and summer
  • Complete and submit Reflexivity Statement of grant experience yearly
  • Consider teaching a course in the Urban Data Analytics Minor

Undergraduate Research Fellows

  • Take CITI Responsible Conduct of Research Training
  • Engaged in collaborative research with Faculty Fellow and Undergraduate Research Fellow
  • Participate in peer mentoring and tutoring
  • Submit an abstract poster proposal for Kean University Research Days
  • Attend Urban Data Analytics Workshops and presentations
  • Meet regularly with Faculty Fellow and Faculty Mentor
  • Maintain regular communication with grant coordinator representatives
  • Develop research activities lead by Faculty Fellow and Faculty Mentor for the academic year and summer
  • Complete and submit Reflexivity Statement of grant experience yearly