1. Productivity, Collaboration, the Internet, and Reagency in Distant Lands Marcus Ynalvez, Ricardo Duque & Wesley Shrum Department of Sociology, Louisiana State University Presented by Matt Bietz

2. The Plan I am not Marcus, Ricardo, or Wes –They are in Africa (I am not) But I will pretend to be –But without the Elvis costume I will first present their paper as I understand it –Try to be faithful to the authors’ spirit & meaning Then I will become a discussant –Respond and draw connections to other ideas we’ve discussed

3. Overview of the Paper Problematizing “Development” Introducing “Reagency” Results from study of ICT usage among scientists in Kenya, Ghana, and India

4. Introduction Globalization of science –Intertwined with innovations in ICTs Must attend to what’s going on not only at the core of science, but also at the periphery How will new ICTs change the nature and structure of knowledge production in the developing world?

5. 3 Views of Internet & Development 1.Elixir Free developing world from isolation 2.Affliction Exacerbate global inequality 3.Teething Problems at first, but can be incorporated over time

6. Our * View Internet can “reagentize” science in developing areas more effectively than prior development initiatives. Comes from the ability to maintain on-line interaction But link between Internet & productivity is problematic * Our = Marcus, Ricardo & Wes

7. Science in Developing World Traditional approaches treat developed world science as either Standard model for how science should work Or, “exploitative, imperialistic residue that should be rejected in favor of indigenous knowledge” Focus on publication, with little depth of understanding for collaboration –Data from co-authorship

8. Development Initiatives... with consequences for actors in the developing world. One-way, top-down approach –Periphery will become developed when it adopts the institutions, modes or organization, practices, cultures, and technologies of the core

9. Problematizing Development Development framework does not capture emerging social realities Change and innovation can –Emanate from different places and identities –Travel through multi-way channels in unpredictable directions “Development” forces us into dichotomy of “developed” and “developing”

10. An Alternative: “Reagency” Bringing about a reaction –But not necessarily one that can be controlled Allow us to understand the interaction of “agency” and the contexts of identity and place Better describes “what happens when organizational representatives from afar enter countries with agendas and initiatives.”

11. Place & Identity Most development initiatives have ignored place and identity –Example: “ideal” technology transfer Exactly the same [process/product/datum] regardless of who or where But laboratories are important places characterized by strong identities –Identities (people) give the place meaning

12. Reagency & the Internet Internet is reagentive –Opens pathways for interaction –Impacts not readily predicted –Trajectory conditioned by places and identities Not simply elixir or affliction Instead, an increasingly essential technology in generating, producing, and disseminating scientific knowledge

13. Reagency, Internet & Science Internet can aid scientists by providing –Links to colleagues, information, and databases –Opportunities for sharing results –Opportunities for building personal and organizational networks Access to material and non-material resources

14. Reports from the Field GhanaKenyaKerala Development (Scientific & Socioeconomic) LowMediumHigh Per capita gross national income $270$360$480 Aid per capita$33$15$2 Illiteracy26.2%15.7%41.2% Internet users / 1000 people 1.916.06.8 PCs / 1000 people3.35.65.8 Survey n (scientists, 2000- 2002) 300315303

15. Data & Method 1994 survey of ~300 scientists 2000-2002 survey –Based on 1994 survey with additional questions about ICTs Variety of research fields Government research institutes & university faculties Mostly urban Almost 200 questions

16. Internet Adoption (1) Level of development & org. setting play a role Most PCs are shared (>7 scientists on average) –Usually not in personal offices 9/10 consider themselves “internet users”, only 6/10 report actual access

17. Internet Adoption (2) Gender a factor (men have higher use) Education correlated to adoption –Especially if trained in US or Europe in the past 10 years

18. Internet & Productivity No consistent effect of the Internet on scientific productivity –Conditioned by both location and organizational setting E.g. In African locations, academic scientists more productive than govt., but reverse is true in Indian locations

19. Collaboration & Productivity At scientific core, collaboration associated with productivity (Lee & Bozeman 2005) No clear relationship for knowledge production sites at the periphery –“There is not one general model that can adequately capture the essence of the relationship between place, identities, collaboration, and productivity.”

20. Summary Internet is reagentive –Initiatives have unpredictable effects –Must place in context of locations and identities Different outcomes for “core” and “periphery” –We can’t assume that science practice that is successful in US/Europe will work in “developing” world

21. Discussion of Productivity, Collaboration, the Internet, and Reagency in Distant Lands Ynalvez, Duque & Shrum Matt Bietz

22. Things I Like Reframing from “development” to “reagency” Importance of place and identity Recognition that what we know about scientific core may not generalize to the periphery Mmmmm....... Data........!

23. Connections IARC/HPP Case What does it mean to be successful? Potential to transform science –But we can’t necessarily predict how Thinking about how these technologies change our access to social networks & resources Stakeholders and agency in initiatives

24. Comments for the Authors Make language more accessible –May be too domain specific (e.g. jargon) for audience of SOC book Show Me the Data! –Seems like great stuff there – I want to see more Not always clear how data relate to reagency framework

25. Bigger Questions Are we seeing “teething?” –E.g. Can we expect that ratio of PCs to scientists will change? Are success measures different in developing countries? –If initiatives will play out differently, will success also look different Is reagency specific to distant lands? –E.g. NSF & NEES