History of Science

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Doctoral Dissertation Research: Recovering the Polyvalent Genealogies of Machine Learning, 1948 - 2017

Machine learning techniques currently make "high-stakes" judgments in areas as diverse as criminal justice, credit risk, social welfare, hiring, and congressional redistricting. Such techniques make these decisions using patterns learned from historical social data. Emphasis on prediction rather than the circumstances of dataset creation have led to machine learning systems that preferentially target vulnerable populations for disparately adverse social judgments while making it more difficult for those subject to these decisions to protest unfair treatment.

The Emergence of Symbolic Notation and Data Visualization in Algebra and Chemistry

This award supports doctoral dissertation research in history of science that focuses on the use of mathematical and chemical symbolism. Such notation is currently regarded as essential to scientific work. By contrast, for much of Western European history, the use of symbols in science was not regarded as a suitable approach. However, by the nineteenth century, symbolic notation had become ubiquitous. This project's objective is to explain why European scientists came to see symbolic notation as credible during the early modern period.

Cultural Emergency Response

The Prince Claus Fund, through its Cultural Emergency Response programme (CER), and the Whiting Foundation announce a new call for proposals for projects in Africa, Asia, Latin America, and the Caribbean to safeguard documentary heritage that is acutely threatened by recent conflict or other disaster, whether natural or man-made.

Endangered Archives Programme

The Endangered Archives Programme offers a number of grants every year to individual researchers world-wide to locate vulnerable archival collections, to arrange their transfer wherever possible to a suitable local archival home, and to deliver digital copies into the international research domain via the British Library.

Ethical, Legal, and Social Implications (ELSI) of Genomics Exploratory/Developmental Research Grant Program (R21)

This Funding Opportunity Announcement (FOA) invites Exploratory/Developmental Research Grant (R21) applications that propose to study the ethical, legal and social implications (ELSI) of human genome research. These applications should propose single or mixed methods studies that break new ground, extend previous discoveries in new directions or develop preliminary data in preparation for larger studies. Of particular interest are studies that explore the implications of new or emerging genomic technologies or novel uses of genomic information.

Deadline: 

Tuesday, October 16, 2018
Tuesday, February 19, 2019
Monday, June 17, 2019
Wednesday, October 16, 2019
Monday, February 17, 2020
Tuesday, June 16, 2020

Ethical, Legal, and Social Implications (ELSI) of Genomics Small Research Grant Program (R03)

This Funding Opportunity Announcement (FOA) invites Small Research Grant (R03) applications to study the ethical, legal and social implications (ELSI) of human genome research. These applications should be for small, self-contained research projects, such as those that involve single investigators. Of particular interest are projects that propose normative or conceptual analyses, including focused legal, economic, philosophical, anthropological, or historical analyses of new or emerging issues.

Deadline: 

Tuesday, October 16, 2018
Tuesday, February 19, 2019
Monday, June 17, 2019
Wednesday, October 16, 2019
Monday, February 17, 2020
Tuesday, June 16, 2020

Ethical, Legal, and Social Implications (ELSI) of Genomics Research Project Grant Program (R01)

This Funding Opportunity Announcement (FOA) invites Research Project Grant (R01) applications that propose to study the ethical, legal and social implications (ELSI) of human genome research. Applications may propose studies using either single or mixed methods. Proposed approaches may include but are not limited to data-generating qualitative and quantitative approaches, legal, economic and normative analyses, and other types of analytical and conceptual research methodologies, such as those involving the direct engagement of stakeholders.

Deadline: 

Friday, October 5, 2018
Tuesday, February 5, 2019
Wednesday, June 5, 2019
Monday, October 7, 2019
Wednesday, February 5, 2020
Friday, June 5, 2020

Standard Grant: The Role of Craft Skill in Scientific Practice

This award provides support for the Making and Knowing Project, a research initiative of the Center for Science and Society at Columbia University. The research brings together students, practitioners, scholars of the humanities and social sciences, natural scientists, and specialists from computer science and the digital humanities in formal university courses and a series of "expert crowdsourcing" workshops and working groups. The award will support further development of the project's collaborative and pedagogy-driven research methodology.

Ecology and Evolution of Infectious Diseases

The Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, and socio-ecological principles and processes that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be quantitative or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease transmission and testing mathematical or computational models that elucidate infectious disease systems.

Deadline: 

Wednesday, November 21, 2018
Wednesday, November 20, 2019
Wednesday, November 18, 2020
Wednesday, November 17, 2021

Workshop: Translation and Encoding for the Making and Knowing Project

This award is to support a workshop in Toulouse, France, in late June 2017. It is to be held in conjunction with ongoing research at the Center for Science and Society at Columbia University, the Making and Knowing Project. The workshop is the fourth in a series of interdisciplinary transcription, translation, and encoding workshops. The previous three facilitated an accurate encoded transcription of a French historical text, Manuscript Fr. 640.

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