Opening Access to AIR's Research Publications

Many of you will have heard, by now, of the death of Aaron Swartz. He was, by all accounts, a technically brilliant man passionate about not just the technical but also the social aspects of the Internet. A firm believer in openness on the Internet, his prosecution was for an act of civil disobedience toward the American intellectual property regime: mass downloading of academic research from JSTOR. Swartz' death is thus leading many to demand that the journals through which we communicate abandon paywalls and adopt open-access policies.

Count me among them: Research in Higher Education, the research journal of the Association for Institutional Research, should adopt an open access model.

Data Mining Ethics at the RMAIR Conference

I had the pleasure of presenting my paper on ethics and data mining at the Rocky Mountain Association for Institutional Research Conference today. First off, my thanks go out to the conference organizers for putting on an excellent conference. And then my thanks go to all of the people who had kind words and/or challenging questions about it.

The paper looks at the ethical side of a growing force in institutional research and higher education management. Data mining and predictive analytics are increasingly used in higher education to classify students and predict student behavior. But while the potential benefits of such techniques are significant, realizing them presents a range of ethical and social challenges. The immediate challenge considers the extent to which data mining’s outcomes are themselves ethical with respect to both individuals and institutions. A deep challenge, not readily apparent to institutional researchers or administrators, considers the implications of uncritical understanding of the scientific basis of data mining. These challenges can be met by understanding data mining as part of a value-laden nexus of problems, models, and interventions; by protecting the contextual integrity of information flows; and by ensuring both the scientific and normative validity of data mining applications.

I'll be posting highlights of the paper in blog-sized chunks over the next week or two. For those who can't wait, the full paper is posted at SSRN with the rest of my papers, and the PowerPoint presentation is available through Google Docs (update: it turns out Google Drive doesn't support animations) YouTube If I get really ambitious I'll record the narrations from to the slides and you can get, essentially, the whole presentation.

Why the AIR Nominees Should Join Twitter

I voted today in the officer elections for the Association for Institutional Research. AIR is the main professional organization in North America for the people who do reporting, business intelligence, and assessment for higher education—my professional colleagues. Like most such organizations it relies on its members to serve as officers, board members, and committee members to function. The slate of candidates seems quite capable. I don't know any of them personally, though I've connected with one virtually (more on that below). Certainly, I am grateful that they've volunteered their time to make a great organization work.

I have been a member of AIR for about a year, so I hardly know the players in institutional research. But as someone who is active in the AIR LinkedIn group and who follows a fair number of institutional researchers on Twitter, I expected to recognize at least some of the candidates. With the exception of Ellen Peters, who is also involved in the LinkedIn group, social media users are absent. So far as I can tell, none use Twitter. Not one of the candidate's statements mentioned AIR's social media use. And that's a problem.