Credit: Zhang Xiangyang
At key junctures in the course of a field's evolution adjustments may be needed to stimulate and sustain rich, vital scholarship. In this Viewpoint, I will argue that the field of computing and information research is at just such a juncture and that structural changes are needed to ensure the field's ongoing health. Recently, Communications contributors and others have engaged in a discussion around issues related to the publication culture in computing research and its effects on the field.1,3,6 That discussion responds in part to a shift in the late 1990s within the main computing archival publication format away from journal publications with variable-page lengths, rolling submissions, and multiple review cycles to conference proceedings with typically 1015 page limits, set deadlines, and minimal review cycles.4 Here, I seek to broaden the conversation to one that foregrounds the question: How do weas a field and as individual researcherscreate robust new scientific and engineering knowledge? Related conversations that concern depth and rigor of scholarship, individual career trajectories, publication, authorship norms, reporting of primary data and results, creation and deployment of artifacts, evaluation criteria, and others, follow from this central question.
To place my comments in perspective, step back to consider a few general observations about the development of any young field in relation to the development of the intellectual lifespans of individual scholars within that field. A new field by definition emerges and takes shape out of one or more existing fields.a At the onset, there are likely a host of new research questions and opportunities. Early in a field's history, there may be relatively little prior work to build directly upon; and more work is likely to be the first of its kind. The first scholars in an emerging field, even as they seek to create the early canonical work, often bring an interdisciplinary orientation to their thought. In such cases, they came from and were trained in other fields and bring diverse ways of asking scientific questions and doing scientific work. Over time the infusion of interdisciplinary perspectives can dissipate as those who created the field build the first departments, train the next generation of researchers, and award Ph.D.'s to inddividuals who, in turn, train the second generation of young researchers, and so on. The movement often tends away from an interdisciplinary orientation and toward developing the new field's distinctive culture and norms.
As a field continues to mature and research accumulates, the need for synthetic, integrative activities emerges. Substantive contributions that are truly novel may be less frequent and may require even greater ingenuity. The sequence described here is not uncommon for young fields and computing and information research is no exception. These and other factors converge in important and complex ways in our field such that the time is right to revisit some of the processes and norms that have evolved and consider adjustments. Such adjustments shape and enable continued strong growth.
As a field continues to mature and research accumulates, the need for synthetic, integrative activities emerges.
Toward that end, in this Viewpoint I articulate seven structural challenges to the field's vitality and capacity for knowledge creation, and point briefly to the potential for practices and incentives within the field to act as constructive forces while simultaneously carefully attending to managing the transition, particularly where the careers of young scholars could be at risk.
Each of the structural challenges hypothesized and discussed here bear in important ways on the kinds of scientific questions that we ask as well as on the kind of research we conduct and report in response to those questions.
Exactly how to adapt current practices and incentives in the field to address the structural issues identified in this Viewpoint remains an open question. At a minimum, we can expect to engage the norms and expectations that underlie research and scholarship. For example, the current trend to produce many small(er) publications could be reversed with policies and incentives that reward a smaller number of stronger publications. Indeed, and in part in response to these and related issues, in the U.S. we have seen a recent policy change at the National Science Foundation that now limits the number of proposal submissions for some programs to two per year for each Principal Investigator. This policy and others like it could serve to incentivize writing a smaller number of stronger proposals. Other practices and incentives will need to value building substantively on prior work; recognize solid intellectual development (without requiring all or even most researchers to invent new subfields or coin new terms); and reward synthesis and theory building. For interdisciplinary work, we will need to rethink and clarify norms for crediting intellectual contribution and authorship as well as for the primary publication of results. Critical to all of this is the need to revisit the balance and distribution of activities among more and less experienced researchers. Of course, each of these will need to be carefully thought through and debated within the community (and for those aspects tied to interdisciplinary research within the broader scientific community).
As with any dynamic ecosystem, the computing and information research field does not have the possibility of remaining static.
Biologists warn us that in shifting ecosystems, those who were well adapted to one environment may be at risk in another.2 So, too, when there are significant shifts in a social ecosystem, such as those of the scope advocated for here. Even as we adapt norms, expectations, and practices to sustain and continue to evolve the field, we will need to attend to the careers of talented young researchers who will need to navigate that transition. In particular, the kind of changes discussed here will have teeth when hiring and promotion and tenure committees correspondingly shift their evaluation criteria to, for example, emphasize a smaller coherent body of more substantive publications. Thus, faculty mentoring Ph.D. students and new Ph.D.'s as well as hiring committees and tenure and promotion committees will need to be alert to the transition and its implications for the scholars they are mentoring and evaluating.
As with any dynamic ecosystem, the computing and information research field does not have the possibility of remaining static. In the normal course of events, as some aspects of the field changewith the accumulation of new knowledge, training of younger researchers, and shifts in publication modesothers will need to be adjusted in response. Moreover, at key junctures dynamic systems may require critical, intentional adjustments to ensure their ongoing viability and vibrancy. I have argued that this is just such a moment for the field, if we are to ensure the field's ongoing ability to generate new, transformative knowledge; ensure deep scholarship; and sustain impact. That said, perturbing any functioning ecosystem is risky business. A small adjustment in one area may have far reaching effects, some or many of which may be unanticipated. Thus, changes will need to be considered carefully, managed over time, and refined (readjusted) as they unfold. As a community, we must proceed both boldly to ensure great scholarship and continuing impact and with alertness so as to minimize harm to the next generation that will carry the field forward.
Admittedly, this Viewpoint is just that. Each of the challenges I have articulated could be the subject of a serious, deep analysis. That would be an excellent next step. Moreover, I have refrained from suggesting specific solutions, as I believe those need to come from the community as a result of thoughtful process and debate. It is my hope this Viewpoint continues and deepens the conversation about these and related issues.
1. Birman, K. and Schneider, F.B. Program committee overload in systems. Commun. ACM 52, 5 (May 2009), 3437.
2. Dubos, R. Man Adapting (enlarged edition). Yale University Press, New Haven, CT and London, England. 1965, 1980.
3. Grudin, J. Technology, conferences, and community. Commun. ACM 54, 2 (Feb. 2011), 4143.
4. Patterson, D., Snyder, L., and Ullman, J. Best practices memo: Evaluating computer scientists and engineers for promotion and tenure. Computing Research News (Aug. 1999); http://cra.org/resources/bp-view/evaluating_computer_scientists_and_engineers_for_promotion_and_tenure/.
5. Publication Manual of the American Psychological Association (Sixth Edition). American Psychological Association, Washington, D.C., 2010.
6. Vardi, M.Y. Revisiting the publication culture in computing research. Commun. ACM 53, 5 (May 2010).
a. For computing and information research this transition occurred during the 1950s and 1960s stemming from the fields of electrical engineering, information theory, mathematics, and so on.
b. There is more to be said about the impact of publication pace on the scope and depth of research (including the conference publication cycle and the duration and expectations of industry summer internships), however, given space limitations that discussion is beyond the scope of this Viewpoint.
c. I use the terms "theory" and "theory building" broadly to refer to a wide range of mathematical and social scientific activity.
d. To clarify the dilemma, consider this real example: in one field the authorship expectation is "students first, followed by faculty" (as is common in some sub-fields in computing and information research) and in another field "the order of authorship credit should accurately reflect the relative contributions of persons involved" (as is the rule in psychology5); given a faculty member who is the intellectual lead for an interdisciplinary team comprised of students and faculty from different disciplines, appropriately following one field's norm for authorship order necessarily would violate that of the other, and vice versa.
Thanks to Lynette Millett at the National Research Council and to the participants of the Dagstuhl Workshop on the Publication Culture in Computing Research for extended conversations on this topic. Thanks, too, to Jon Eisenberg, Jonathan Grudin, Fred Schneider, Jacob Wobbrock, Ellen Zegura, and three anonymous reviewers for comments on this Viewpoint.
The Digital Library is published by the Association for Computing Machinery. Copyright © 2014 ACM, Inc.
No entries found