A session with Jevin West can be a geek-fest in the very best way. Out comes the magic marker and next thing you know there鈥檚 a white board filled with circles and arrows and nodes illustrating impact factors in a vast matrix you鈥檝e never imagined. It鈥檚 Big Data at its finest, a big thing in the information field and a critical area of specialization for this newly hired assistant professor at the University of Washington Information School.
Like many in the field, West actually started elsewhere in academia and let his passion guide him toward information. As an undergraduate biology major at Utah State he gravitated toward the emerging field of systems biology. 鈥淚 took a systems approach,鈥 he explains. 鈥淚 realized you had to understand how information flows, and that the whole world is a highly networked system.鈥 He then chose the UW Department of Biology for his Ph.D., in part because of the opportunity to work with Professor Carl Bergstrom, who also studies information in biology.
A dinner with Bergstrom and Bergstrom鈥檚 economist father proved to be a pivotal point in West鈥檚 career.鈥 At the time, I was thinking about what kinds of problems I was going to attack, to help me understand information in biology,鈥 recalls West. The subject of scholarly publishing arose, and the three began discussing how social and economic factors influence the way in which science is conducted. The conversation shifted to how West鈥檚 research methodology might be used to examine citation networks, with an eye toward finding a better way of measuring scholarly output and influence.
West thought it might be an interesting practice exercise; something to take on for a couple weeks. 鈥淲ell, that two weeks turned into many years and has grown into this big research program, what I call the Eigenfactor project,鈥 says West. The result was a revolution in how citation networks are examined, going beyond mere citation counts to instead examine the mathematics of how the citations are connected and flow. West likens it loosely to the way in which Google revolutionized search engine technology by taking advantage of the Web鈥檚 hyperlink structure.
Most importantly, the methodology isn鈥檛 just appropriate to citations, but can be applied to all kinds of networks. 鈥淭he metrics have now become an industry standard within the library area where they used Eigenfactor and article influence, and it鈥檚 been used in commercial applications as well.鈥
West went on to continue his research during two postdoc fellowships, the first at the, and the second at at Umea University in Sweden. In both, the emphasis was pulling stories out of big data sets. Throughout, however, a dichotomy persisted: although still thinking of himself exclusively as a theoretical biologist, West was becoming deeply involved with information that was not necessarily connected with his field. It was something of a puzzle.
The solution soon presented itself. And perhaps it is fitting that a person so immersed in extracting data from complex matrixes would need somebody else to connect the dots with regard to his own career. 鈥淚 was invited to give a talk at the Microsoft Faculty Summit,鈥 recalls West. 鈥淎fter the talk, a very nice, very well-dressed individual came up to me and said, 鈥榊ou know what this is, don鈥檛 you? This is Information Science. You should consider housing yourself in an Information School.鈥欌
That individual was iSchool Dean Harry Bruce.
Flashing forward to today, West recently became the first of a planned eight new faculty hires at the iSchool. As West explains, once he made the decision to join an Information School, the UW iSchool quickly moved to the top of his list.
鈥淭he great thing about this iSchool is that there鈥檚 so many things they鈥檙e working on,鈥 he says. 鈥淎nother thing was being on a campus that cared about this sort of thing. Information science researchers embrace interdisciplinary and collaborations across different fields, and we鈥檙e connected to very strong computer science and engineering and life sciences departments. There are all kinds of opportunities for collaboration. There鈥檚 also potential commercial partners in the area, and I鈥檝e already developed some relationships there.鈥
Now ensconced in Mary Gates Hall room 330D, West couldn鈥檛 be more pleased with his surroundings. His areas of specialty include Data Science, Network Analytics, Scholarly Communications, and Information Visualization. But what really intrigues him as he contemplates his future is the people he鈥檒l have the opportunity to work with.
鈥淐ommunity is important for me, and the community aspect of the UW iSchool is really unmatched,鈥 he says. 鈥淵ou have it at the faculty level, the staff level, and the student level. Surrounded by all these talented people, I feel like I get to learn every single day.
鈥淚鈥檝e already been working with Joe Tennis for over a year on really cool project. We鈥檙e looking at how we can use this mapping stuff to auto-categorize Wikipedia and compare that to human-curated categorization. I鈥檝e also been talking with Robert Mason, I鈥檓 looking at collaborations with Josh Blumenstock and Emma Spiro.鈥
In addition to these collaborations, West looks forward to teaching. This fall he will lead a class on research methods for introductory Ph.D. students; later, he is slated to teach Data Science at the undergraduate and masters level.
鈥淩ight now, because Data Science and Big Data are so hot, I could probably make way more money outside the university,鈥 says West. 鈥淏ut my passion lies in being on a campus, where you get to interact with people of different backgrounds, people that are really smart and ask good questions, from students to faculty.鈥
Although West perhaps took an unusual path to get here, he feels strongly that in today鈥檚 information-driven world, the UW iSchool is the place to be.
鈥淲e鈥檙e really in a high growth stage,鈥 he concludes. 鈥淲e鈥檙e on a campus that is very much behind this data-driven movement. For students, this is where a lot of hiring is going to come come from in the future鈥攊t will really have a huge impact on many generations to come. That鈥檚 exciting.鈥