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Record W1588611480 · doi:10.1089/omi.2014.0079

Translating Biotechnology to Knowledge-Based Innovation, Peace, and Development? Deploy a Science Peace Corps—An Open Letter to World Leaders

2014· review· en· W1588611480 on OpenAlexaff
Nezih Hekim, Yavuz Çoşkun, Ahmet Sınav, Alaa Abou-Zeid, Mehmet Ağırbaşlı, Simisola Akintola, Şükrü Aynacıoğlu, Mustafa Bayram, Nicola Luigi Bragazzi, Collet Dandara, Türkay Dereli, Edward S. Dove, Levent Elbeylı, László Endrényi, Kamile Ercıyas, Jack Faris, Lynnette R. Ferguson, Fahrettin Göğüş, Kıvanç Güngör, Mervi Gürsoy, Ulvi Kahraman Gürsoy, M. Asım Karaömerlioğlu, Ilona Kickbusch, Türker Kılıç, Metin Kılınç, Tanıl Kocagöz, Biaoyang Lin, Adrián LLerena, Vangelis G. Manolopoulos, Bipin G. Nair, Bülent Özkan, Tikki Pang, Semra Şardaş, Sanjeeva Srivastava, Cengiz Toraman, Kemal Üstün, Louise Warnich, Ambroise Wonkam, M. Cengiz Yakıcıer, Ümit Yaşar, Vural Özdemir

Bibliographic record

VenueOMICS A Journal of Integrative Biology · 2014
Typereview
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEngineering ethicsPolitical scienceEngineeringManagementEnvironmental ethicsEconomics

Abstract

fetched live from OpenAlex

Scholarship knows no geographical boundaries. This science diplomacy and biotechnology journalism article introduces an original concept and policy petition to innovate the global translational science, a Science Peace Corps. Service at the new Corps could entail volunteer work for a minimum of 6 weeks, and up to a maximum of 2 years, for translational research in any region of the world to build capacity manifestly for development and peace, instead of the narrow bench-to-bedside model of life science translation. Topics for translational research are envisioned to include all fields of life sciences and medicine, as long as they are linked to potential or concrete endpoints in development, foreign policy, conflict management, post-crisis capacity building, and/or peace scholarship domains. As a new instrument in the global science and technology governance toolbox, a Science Peace Corps could work effectively, for example, towards elucidating the emerging concept of "one health"--encompassing human, environmental, plant, microbial, ecosystem, and planet health--thus serving as an innovative crosscutting pillar of 21(st) century integrative biology. An interdisciplinary program of this caliber for development would link 21(st) century life sciences to foreign policy and peace, in ways that can benefit many nations despite their ideological differences. We note that a Science Peace Corps is timely. The Intergovernmental Panel on Climate Change (IPCC) of the United Nations released the Fifth Assessment Report on March 31, 2014. Worrisomely, the report underscores that no person or nation will remain untouched by the climate change, highlighting the shared pressing life sciences challenges for global society. To this end, we recall that President John F. Kennedy advocated for volunteer work that has enduring, transgenerational, and global impacts. This culminated in establishment of the Peace Corps in 1961. Earlier, President Abraham Lincoln aptly observed, "nearly all men can stand adversity, but if you want to test a man's character, give him power." We therefore petition President Barack Obama, other world leaders, and international development agencies in positions of power around the globe, to consider deploying a Science Peace Corps to cultivate the essential (and presently missing) ties among life sciences, foreign policy, development, and peace agendas. A Science Peace Corps requires support by a credible and independent intergovernmental organization or development agency for funding, and arbitration in the course of volunteer work when the global versus local (glocal) value-based priorities and human rights intersect in synergy or conflict. In all, Science Peace Corps is an invitation to a new pathway for competence in 21(st) century science that is locally productive and globally competitive. It can open up scientific institutions to broader considerations and broader inputs, and thus cultivate vital translational science in a world sorely in need of solidarity and sustainable responses to the challenges of 21(st) century science and society.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.395
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2014
Admission routes1
Has abstractyes

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