1 / 7

Enhancing Collaborative Research: Leveraging Bottom-Up and Top-Down Approaches

This collaborative model focuses on leveraging existing NSF initiatives, such as EAGER and RAPID, while emphasizing the benefits of large-scale projects supported by initiatives like PIRE. The key is to create a common collaborative vision, address national problems, and reap educational benefits. Issues like IP, evaluation, and cultural differences must be considered for successful collaboration. Recommendations to NSF include increasing travel budget, supporting junior faculty, and exploring low overhead opportunities.

jaafar
Télécharger la présentation

Enhancing Collaborative Research: Leveraging Bottom-Up and Top-Down Approaches

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Group Summary Aidong Zhang, DivyAgrawal, Shu-Ching Chen (PIRE), Dongwon Lee, SharadMelhetra, Keith Ross, Felix Wu, Nan Zhang, TaiebZnati, Sean Wang, Feng Shan, Cindy Chen, Wendy Wang, Luke Huan, HaoXin …

  2. Collab. Model • Bottom-Up (many existing – how to leverage) • Individual researchers • Small teams • Top-Down • NSF-initiated • Both are critical to do • Hybrid • Promote each other

  3. Bottom-Up Collab. • Many existing NSF initiatives exist • EAGER • RAPID • Supplements … • Can be further improved by • GOALI-style effort NSF initiative • Requires program to work with OISE

  4. Larger Initiatives (Top-Down) • Current opportunities focus on smaller projects • Some initiatives exist like PIRE can support large projects • CISE doesn’t fare as well • Large projects should be based on: • Common collaborative vision • Need for collaboration should be clearly stated in vision itself • National importance of the problems • Eg, Energy, Sustainable Society, Intelligent Transportation, Disaster Recovery, Internet of Things (ie, CPS equivalent in China), Digital Libraries

  5. Benefits of Large Projects • Should be beneficial to both sides • Access to growing/emerging infrastructure • Testbed / platform • Eg, Japan’s access in GINI project • Access to larger students bodies and research expertise • Educational elements

  6. Issues to Consider • IP • Basic infrastructure exists to resolve IP issues • Evaluation / Research Quality Assessment • Q: should have similar quality? • Use NSF’s 4 vision pillars ? (eg, building infrastructure, producing man-power, …) • Should converge gradually • Takes time --- need to be more patient • Differences in research culture • 5-10 vs. 10-15 horizons • Different priorities • Eg, National prizes vs. conf. papers • How to use this diff. to our benefit? • Distributed control • 2 Masters vs. 1

  7. Suggestions to NSF • Travel budget should be increased • Create opportunities for Junior faculty / faculty (of non Chinese origin) to benefit as well • Overhead vs. Return • Can we create low overhead opportunities? • Eg, student exchange program • Can figure out to leverage on existing industrial experiences on int’l collaboration? • Microsoft vs. Microsoft China

More Related