Although the bulk of research carried out is directly or indirectly oriented to the interests of dominant groups (including the researchers themselves), some researchers explicitly aim their work in other directions. This includes engineers who develop appropriate technology for disadvantaged people and psychologists who seek ways for people to resist manipulation by advertisements.

A lot of “critical research” that is published in academic journals is never read by anyone except academics. It is too abstract and difficult to read for anyone else. More helpful is critical research that engages with people, providing a product or idea that can be grasped and used.

Critical teaching and research merge when students are involved in projects that essentially involve doing research as a means of learning. So-called “action research” can fit this picture. Researchers, including students, undertake projects that help communities to help themselves, such as working with homeless people to develop strategies against policies creating homelessness.

Popularisation

When knowledge is kept within professional circles it is mainly of service to those who have the money or power to get professionals to do their bidding. Making the knowledge understandable to a wider community undermines the professional monopoly. No wonder that popularisers are looked down upon by experts in their fields.

There are different types of popularisation. Some popularisers, such as Isaac Asimov, Martin Gardner and Carl Sagan, mainly speak of the wonders of science. Their popular works mainly serve to get more people to support scientific work by the professionals. They seldom make criticisms of powerful patrons of science. (Sagan’s prominent role in promoting the theory of nuclear winter and arguing for nuclear disarmament may be a partial exception.) Other popularisers, such as Rachel Carson, David Suzuki and John Kenneth Galbraith, have taken a more critical role: they encourage people to be critical of influential trends in their fields.

Only a small number of individuals can ever become as widely known as Sagan and Suzuki. But others can undertake the task of critical popularisation in their own way. For example, political scientist Michael Parenti has written many books providing a straightforward, hard-hitting critique of the US political and economic system. These books have had far more impact than sophisticated critiques published in left-wing journals mainly read by a few left-wing intellectuals.

Independent scholarship

Rather than taking the road through universities — namely, formal study and acquisition of credentials — it is possible to learn and do research outside the academic system. So-called “independent scholars” are people who have learned or researched on their own, in some cases becoming prominent as a result. Examples include Betty Friedan, Buckminster Fuller, Hazel Henderson, Eric Hoffer, Alvin Toffler and Barbara Tuchman.[13]

Independent scholars are not so shaped by formal training, peer expectations, and organisational penalties for going against the grain. On the other hand, independence in many cases means getting little money from one’s intellectual efforts, or else becoming dependent on a new patron, such as the publisher of a commissioned book.

Research and social movements

Feminists, environmentalists and other social activists vary enormously in the way they use research. I’ve met some environmental campaigners who never read a single political analysis. They act entirely on the basis of their own experience of how the political system operates. Some research is important to them, such as detailed analyses of threatened species in local forests or the comparative social impacts of transport policies, if it directly relates to current campaigns.

A few campaigners read deeply into theory on relevant topics such as patriarchy, capitalism, industrialism and the dynamics of social movements. Some of them have told me that the writings in these fields are insightful but seldom relevant to the actual campaigns on which they are engaged.

Imagine for a moment that social movements could spend billions of dollars funding research relevant to their interests and needs. This would lead to a considerable change in research priorities. Whereas coal companies fund research into more efficient ways of extracting and burning coal, environmental groups might fund research into measures for energy efficiency and how to promote them. Whereas militaries fund research into more powerful and accurate weapons, peace groups might fund research into conflict resolution or nonviolent struggle.

But would this mean that most researchers would still be professionals working in universities or specialist research organisations? Would it mean that decisions about research funding and priorities would still be made by just a few people in the social movements and among the researchers? If so, problems similar to the present system might arise, namely orientation of research to the interests of those with most power.

The challenge is (1) to involve a broad cross-section of people in decision making about research priorities and (2) to allow all interested people to be engaged in research themselves, at some level. To meet this challenge, social movements need to put research on their agendas.[14]

8. On the value of simple ideas

Rather than building complex social theory and then drawing conclusions for making a better society, it is more productive to find, develop and promote simple ideas that empower people and then build up theory that is compatible with these ideas.

Simple ideas have a bad reputation. People often think simple ideas are simplistic: wrong, incomplete, inaccurate, misleading. I agree that many simple ideas are no good, but many are quite useful. This is easy to overlook because complex, sophisticated systems of knowledge are thought to be better.

The usual scholarly approach to knowledge goes like this. Sophisticated models of atoms, mental processes, society or whatever are proposed, analysed, elaborated, tested and negotiated. The best available model is then used to draw conclusions. If appropriate, it is applied to practical problems. This usually means lots of

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