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Cross-Disciplinary Research Nick Feamster and Alex Gray College of Computing Georgia Institute of Technology.

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Presentation on theme: "Cross-Disciplinary Research Nick Feamster and Alex Gray College of Computing Georgia Institute of Technology."— Presentation transcript:

1 Cross-Disciplinary Research Nick Feamster and Alex Gray College of Computing Georgia Institute of Technology

2 The Role of Research Proposing novel ways of solving problems Reducing systems to practice Then, move technology to industry Beware the steamroller! –Cannot compete with an army of coders

3 Finding the Right Problems Identifying the right problems to address is usually the hardest part of research. What do you recommend to young researchers? My main advice is to avoid incremental work. You should be aware of what others have done and take advantage of it. But rather than thinking of small ways to improve it, try to think of how to solve the problem differently, or how to apply the technique to a different area, or how to abstract from what has been done to come up with something thats broadly applicable. -- Barbara Liskov on Programming, Career, and the Future, IEEE DS Online

4 Avoiding the steamroller Work in areas where industry does not have the resources to devote –Industry is driven by bottom lines –New, out-of-the-box thinking may take away from exactly what the customer is asking for Our advantage: We can propose innovative ideas that are unencumbered by current constraints

5 The Intersection: The Best Chance to Innovate Where ideas from one area meet another Research areas can become mired in a set way of thinking (directional) Working at intersections permits –Leaps in new directions (active networks) –Opening up new fields (network tomography) –Creation of niches (Network Economics, SysML, etc.)

6 Challenges Many possible places for intersections –Where to look? Every area has their own language –Must overcome impedance mismatch –Need to break down barriers Techniques/analogies may not apply across areas

7 Methods for Finding Intersections Break down barriers: Reverse/drop assumptions and see if the problem is still solvable Try brainstorming: apply random combination of ideas (e.g., use assignment 1 as a seed) Interact with diverse groups of people (e.g., this class, happy hour)

8 Todays Lecture: Two Parts Example: cross-disciplinary research (20 min) –Application of epidemiology techniques to assess the cause of network illness –Speaker: Mukarram bin Tariq, 4 th year Ph.D. student More general lecture on connections/intersection –Speaker: Tom McMail, Microsoft External Research Programs


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