LLAMAS
Llamas are of a special kind. At the Berkeley Campus of the University of California, during the exam period, llamas are brought in for a ‘Llamapalooza’, where students can pet and cuddle them (Cantor, 2019). The students seem to reboot while enjoying the physical proximity of their grass munching companions. Llamas are ‘charismatic’, in the sense of having a natural attractiveness. Some might claim this demonstrates their cleverness but it has also resulted in llamas as therapeutic pets, not merely with stressed students but also in nursing homes or engaging with people with cerebral palsy or autism. Llamas are described as patient, kind, capable of ‘reading’ their human counterparts, smart and curious, as well as strong-willed, insubordinate and reasonably sovereign when challenged to take on unwarranted tasks. In the meantime, there is much more to learn from llamas and other subspecies of the camelidae, for instance at the level of their immune system.
Llamas are part of the species of camelidae (e.g. camels, llamas and alpacas). On the Ablynx website we find that camelidae ‘possess fully functional antibodies’ that can be cloned and isolated with ‘full antigen binding capacity and are very stable’, and ‘form the basis of a new generation of therapeutic molecules which Ablynx has named “Nanobodies”’. This originates in the invention by the founders of this chair, who first isolated the relevant antibodies. Interestingly, in 2020 ‘[a]ntibodies (nanobodies) derived from llamas have been shown to neutralize the SARS-CoV-2 virus in laboratory tests by UK researchers’, capable of stopping the virus in patients with COVID-19 (Lynch 2020). This reminds us of the crucial role played by fundamental research in generating societal benefits, but also raises fascinating questions about the political economy that informs the extraction of added value from patented animal material, and thus brings us straight to the core of this chair: the history and the role of sciences in society.
SCIENCE AND SOCIETY
As Felix Stalder noted, the corona-virus pandemic has caused ‘a return to the real’, and as many have noted, it has highlighted the pivotal role of science in society, while also raising new questions about the increasing dependence on data- and code-driven infrastructure. Key questions must be addressed, such as:
- How to steer free from fake news and post-truth relativism without reverting to naive understandings of what scientific knowledge means?
- How to ensure that emerging technologies contribute to a thriving economy that affords a fair distribution of human capabilities across dominant and marginalized groups, both globally and locally?
- How to resist investment in technologies that diminish human agency and how to reform business models whose added value is based on predatory extraction?
These questions cannot be addressed by adding more computation or by investing in more data gathering. They concern the assumptions of data- and code-driven research, the assumptions of our information ecosystem, and those of prevailing economic science. Time is ripe to reconsider the relationship between the sciences and the humanities, developing new alliances, effective mutual respect and learning – way beyond the ‘two cultures’ approach. We should note that in the English language academic study is divided between the natural sciences, the social sciences and the humanities, suggesting the humanities are not scientific, whereas in French and German we have three types of science under one heading (Wissenschaft, Science): Sciences naturelles, Naturwissenschaften; Sciences sociales, Sozialwissenschaften; Sciences humaines, Geisteswissenschaften. This chair will take the perspective of continental Europe: though methodologies and objects may differ, not one method or framing should colonize the others (which is not to say that anything goes), all sciences should be recognized as such. We should also note that an open society aligning with democratic values sustained by the rule of law must ensure that those subject to political decisions understand the value of recognizing uncertainty without succumbing to either data-fetishism or post-truth bullshit (Bergstrom and West 2020; Popper, Ryan and Gombric, 2013; Cilliers Preiser, 2016).
THE LLAMA FOR POETS AND QUANTS
So, where does the llama come in? If it is true that llamas are ‘patient, kind, capable of "reading" their human counterparts, smart and curious, as well as strong-willed, insubordinate and reasonably sovereign when challenged to take on unwarranted tasks’ we have a lot to learn. Though we have a different type of agency, being ‘linguistic bodies’ in a way that llamas are not (Di Paolo, Cuffari and de Jaegher, 2018), we could do with some inner llamafication, both in the sense of enhancing our resilience with effective nanobodies and in the sense of becoming more trusting, curious and subversive, depending on what our environment demands. I would even dare to stretch the metaphor a bit further by suggesting that democracy and the rule of law require precisely this kind of sprezzatura, concern and resistance.
Objectives and Research Questions
The questions raised above highlight the need to investigate the relationship between science and technology, to examine the political economy of data- and code-driven architectures and the interaction between science, democracy and the rule of law. This involves bringing together ‘poets’ (those versed in the theoretical reflection and qualitative investigation) and ‘quants’ (those versed in calculation and quantitative inquiry) (Tunarosa and Glynn, 2016). In the context of the broader goal of the chair (see above), the chairholder will focus on three objectives:
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An in-depth inquiry into the nature of counting and speech, calculation and qualification, computation and argumentation, across the domains of the sciences and the humanities, unearthing what distinguishes computational from narrative truth claims, how they relate to each other and how they interact.
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An in-depth inquiry into the performative effect of computational systems in the context of scientific research, including the role of theory, experimentation, data and code.
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An in-depth inquiry into the status of law as a scientific discipline, in particular in relation to political theory and computer science, to address the rise of computational ‘law’.
Relevant research questions will be selected and developed in close collaboration with in-residence researchers. The following research questions indicate the kind of research we target:
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If calculation and quantification presume qualification (to decide what counts as the same), how can we invite scientists to make their qualifications visible?
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What can those mainly working with quantification learn from those working on theoretical reflection and/or qualitative research (Tunarosa and Glynn. 2016)?
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How does formalization relate to quantification?
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What risks are involved in using observable proxies for target concepts that are not directly observable (Polack, 2020; Yarkoni, 2019) ?
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If machine learning generally lacks theory, what does this mean for the reliability of its output (Garip, 2020; Gigerenzer, 2018; Lipton and Steinhardt, 2018 ; Sculley, Snoek,Wiltschko and Rahimi, 2018)?
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To what extent are predictions based on behavioral data liable to become self-fulfilling prophecies (Esposito, 2011; Manheim and Garrabrant, 2019 ; Strathern, 1997) and what does this mean for policy research?
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To what extent do predictions based on behavioral data reinforce existing unfairness due to different false positive rates across marginalized groups (Barocas and Selbst, 2016)?
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In what sense is the study of law a scientific undertaking and what does methodological integrity mean in the context of law and the Rule of Law (Dworkin, 1991; Hildebrandt, 2020; Kestemont, 2018; Waldron, 2011) ?
The chairholder will actively generate, enable, support and foster poets and quants across the borders of natural, social and human sciences, transversal and university-wide, but also invite transgressions across the borders of scientific research – seeking inspiration, confrontation, subversion and integration with the arts. This implies loyalty to the methodological integrity of the sciences, respect for tacit knowledge and unmethods of artistic endeavor and learning how ‘not everything that can be scientifically proven matters, and not everything that matters can be scientifically proven’.
Want to delve into the theme?
Have a look at the bibliography!
