Data X Innovation Grant Proposals

Data X Innovation Grants support Lehigh faculty in their efforts to take research involving data-related inquiry to the next level. The program aims to help researchers contribute substantially to innovation in data analysis.

Advances in the collection, analysis, and use of data have profound implications for how we live and work. Increases in computational power, data storage, and network bandwidth are opening new possibilities to derive valuable insights from data. A growing segment of the world’s population is connected by social media, transforming human interaction with widely available technologies that permit the creation and sharing of data on an unprecedented scale. In many fields, questions that were once unanswerable – or even inconceivable – can now be addressed. Academic scholarship and creative activities are being altered in dramatic ways, both in traditionally data-oriented disciplines and in fields that are newly engaging with data-driven problems. Lehigh’s Data X initiative seeks to expand the university’s capacities in computing and data analytics to faculty and students working in many fields, opening new areas of inquiry that were previously limited by data availability and analytical tools.

Data X Innovation Grants will support efforts that enable faculty to take the next big step in their research into problems or questions that involve data-related inquiry. These efforts might include pilot projects, foundational experiences, the learning and deployment of new methods, or other ideas that contribute substantially to innovative faculty engagement with data analysis. Innovation Grants may support either explorations of new research areas or significant reorientations in how faculty approach an on-going research agenda and should be impactful on the ability of the faculty member(s) to take a major step forward in their use of or approach to data.

Proposals should be research-directed, as opposed to having a curricular or pedagogical focus, and ideally should spark thinking about possible new initiative areas within Data X or be synergistic with other ongoing initiatives at Lehigh. Proposals should not be focused solely on acquiring data or on seminar speakers/lectures; instead, the focus should be on how data can contribute to innovation in research agendas, in creative output, and in critical engagement with a data-rich world. This call for proposals is broadly directed at all disciplines, from those with a legacy of using data to those that are just beginning to do so. Questions may be directed to Janet Laible at jml6@lehigh.edu or Tara Troy at tjt201@lehigh.edu.

Proposals may come from single or multiple faculty members and may be disciplinary or interdisciplinary. The proposal should specify the following:

  • Motivation
  • How the funds would impact and advance your work
  • What will constitute success and how this will be assessed 
  • Describe how the funded Data X Innovation Grant effort will develop or be sustained beyond the end of this grant.
  • Proposed budget and timeline


Details
Due date: March 21, 2016 by 5pm
Anticipated Funding Levels: $4,000 to $5,000 per project
Proposal length and format: 2 pages, 11 point font or larger, 1” margins
Submit proposals to: Janet Laible (jml6@lehigh.edu) or TaraTroy (tjt201@lehigh.edu)

Data X Innovation Grant Proposal Committee

  • Janet Laible (Political Science)
  • Tara Troy (Civil and Environmental Engineering)
  • Craig Hochbein (Educational Leadership)
  • Xiaolei Huang (Computer Science and Engineering)
  • Greg Lang (Biological Sciences)
  • Ju-Yeon Lee (Marketing)
  • Patricia Manz (School Psychology)
  • Nik Nikolov (Architecture)
  • Dominic Packer (Psychology)
  • Catherine Ridings (Management)
  • Ed Webb (Mechanical Engineering and Mechanics)

Faculty Profile

Anand Jagota

Anand Jagota is professor of chemical engineering and director of Lehigh's bioengineering program at Lehigh. His research interests are in biomaterials, biomechanics, and nanobiotechnology. His group works on properties, processing, and modeling of DNA interactions with nanomaterials, specifically on its hybrids with carbon nanotubes. In another active project, his group works on biomimetic fibrillar interfaces with enhanced adhesion, friction, and compliance achieved by design of near-surface architecture. Currently, Jagota's lab is engaged in research projects in solution-based processing of carbon nanotubes, the biomimetics of fibrillar adhesion, and adhesion and mechanical properties. 

"We're looking for higher-end computer technology and better capturing and management technology. Most importantly, we need innovating minds so that we can actually understand new questions in an unstructured world."

- David Griffith, professor and chair, Department of Marketing