Evolving Academia/Industry Relations in Computing Research
- Shwetak Patel (University of Washington) ,
- Jennifer Rexford (Princeton University) ,
- Ben Zorn ,
- Greg Morrisett (Cornell University)
Computing Community Consortium (CCC) white paper
In 2015, the CCC co-sponsored an industry round table that produced the document “The Future of Computing Research: Industry-Academic Collaborations.” Since then, several important trends in computing research have emerged, and this document considers how those trends impact the interaction between academia and industry in computing fields. We reach the following conclusions:
- In certain computing disciplines, such as currently artificial intelligence, we observe significant increases in the level of interaction between professors and companies, which take the form of extended joint appointments.
- Increasingly, companies are highly motivated to engage both professors and graduate students working in specific technical areas because companies view computing research and technical talent as a core aspect of their business success.
- There is also the further potential for principles and values from the academy (e.g., ethics, human-centered approaches, etc.) informing products and R&D roadmaps in new ways through these unique joint arrangements.
- This increasing connection between faculty, students, and companies has the potential to change (either positively or negatively) numerous things, including:
- The academic culture in computing research universities
- The research topics that faculty and students pursue
- The ability to solve bigger problems with bigger impact than what academia can do alone
- The ability of universities to train undergraduate and graduate students
- How companies and universities cooperate, share, and interact
This report is the first step in engaging the broader computing research community, raising awareness of the opportunities, complexities and challenges of this trend but further work is required. We recommend follow-up to measure the degree and impact of this trend and to establish best practices that are shared widely among computing research institutions.
The next generation of developer tools for data programming
Traditional software development activities (like editing, testing, debugging, and others) often need to be carried out by individuals who are not typical software developers. Tools as diverse as spreadsheets, Jupyter notebooks, and deep learning frameworks all empower users to create solutions that have much in common with traditional software. Unfortunately, typical software tools do not directly translate into these new development processes. In this webinar led by Partner Researcher Dr. Ben Zorn, follow the path of the revolution that empowers more people to easily leverage computational resources for problem solving. You will examine the incredible opportunities and technical challenges of empowering users to quickly build correct and meaningful spreadsheets. The focus here includes recent efforts to combine spatial analysis, statistical analysis, and deep learning to find bugs in spreadsheets. You will also find out how AI is advancing data programming as we know it. Finally, you will learn about two exciting projects from Microsoft researchers. In the ExceLint project, with Daniel Barowy and Emery Berger, researchers use a combination of program, spatial, and statistical analysis to highlight unusual anomalous formulas in spreadsheets. In the Jura project, with Saswat Padhi, Alex Polozov, and Dany Rouhana, researchers apply deep neural networks trained on thousands of spreadsheets to predict properties of sheets, including where tables are located and whether cells should contain formulas.
Together, you will explore:
- The expanding definitions of “program” and “programmer”
- How new tools and techniques, from spreadsheet innovations to deep learning, can aid developers
- Empowering individuals who are not professional developers to use tools that can enhance their data programming experiences
- Two current Microsoft projects, ExceLint and Jura, and a live demo
Resource list:
- ExceLint/ExceLint-addin (opens in new tab) (GitHub)
- Research in Software Engineering (RiSE) (opens in new tab) (Research group)
- Evolving Academia/Industry Relations in Computing Research (opens in new tab) (Publication)
- How Programming Languages Quietly Run the World with Dr. Ben Zorn (opens in new tab) (Podcast)
- Ben Zorn (opens in new tab) (Researcher profile)
*This on-demand webinar features a previously recorded Q&A session and open captioning.
This webinar originally aired on March 09, 2020
Explore more Microsoft Research webinars: https://aka.ms/msrwebinars (opens in new tab)