HomeSummer Institute in Computational Social Sciences (SICSS)

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Published on Tuesday, February 25, 2020 by Céline Guilleux

Summary

Du 23 juin au 2 juillet prochain, l’École nationale de la statistique et de l'administration économique accueillera une école d’été en sciences sociales computationnelles. Déclinaison française du Summer Institute in Computational Social Sciences (SICSS) initié en 2017 à Duke et à Princeton University, SICSS-Paris rassemblera 20 à 25 jeunes chercheuses et chercheurs en sciences sociales (économie, droit, géographie, histoire, science politique, sociologie…) intéressé·e·s à développer leurs compétences et leurs collaborations dans le domaine des méthodes computationnelles.

Announcement

From June 23rd to July 2nd, ENSAE will sponsor a Summer Institute in Computational Social Science, to be held in Paris (on the Plateau de Saclay campus).

Presentation

The purpose of the Summer Institute is to bring together graduate students, postdoctoral researchers, and beginning faculty interested in computational social science. The Summer Institute is for both social scientists (broadly conceived) and data scientists (broadly conceived).

The instructional program will involve lectures, group problem sets, and participant-led research projects. There will also be outside speakers who conduct computational social science research on a variety of topics. Topics will cover digital data collection and curation, text as data, website scraping, digital field experiments, mass collaboration, machine learning, and ethics.

There will be ample opportunities for students to discuss their ideas and research with the organizers, other participants, and visiting speakers. Because we are committed to open and reproducible research, all materials created by faculty and students for the Summer Institute will be released open source, mostly in French.

Participation is geared towards Ph.D. students, postdoctoral researchers, and early career stage faculty. Most participant costs during the workshop, including housing and most meals, will be covered. A travel allowance can be requested should the participant need it to attend.

Eligibility

Participation is restricted to advanced master students, Ph.D. students, postdoctoral researchers, and early career stage faculty. Please note that there are no restrictions based on citizenship, country of study, or country of employment. About 20 participants will be invited. We welcome applicants from all backgrounds and fields of study, especially applicants from groups currently under-represented in computational social science. We evaluate applicants along a number of dimensions:

  1. research and teaching in the area of computational social science 
  2. contributions to public goods, such as creating open source software, curating public datasets, and creating educational opportunities for others
  3. likelihood to benefit from participation 
  4. likelihood to contribute to the educational experience of other participants
  5. potential to spread computational social science to new intellectual communities and areas of research.

Further, when making our evaluations, attempt to account for an applicant’s career stage and previous educational opportunities.

Please note the following points:

  •     The summer institute will be taught in French. A good command of the language is thus necessary.
  •     some familiarity with one programming language is a plus, and should be clearly mentioned. The workshop will be taught using R.
  •     We also expect participants to have a good reading & speaking ability in English.

How To Apply

We welcome applicants from all backgrounds and fields of study, especially applicants from groups currently under-represented in computational social science. About 20 participants will be invited, and participants are expected to fully attend and participate in the entire program. The main language will be French.

Applicants must submit the following documents: (i) a curriculum vitae, (ii) a statement (maximum two pages) describing both any current research and your interest in computational social science. All applications must include an e-mail and an alternative means of contact (e.g., phone number).

Please submit your applications and the supporting documents listed above using this application form.

Applications can be submitted in French or in English.

In order to be guaranteed full consideration, all application materials must be submitted

before March 20th, 2020.

Questions can be addressed to: sicssparis@gmail.com

Places

  • ENSAE Paris - IP Paris 5 Avenue Le Chatelier
    Palaiseau, France (91)

Date(s)

  • Friday, March 20, 2020

Keywords

  • numérique, computationnel, méthodes quantitatives, data mining, pluridisciplinarité, école d'été, webscraping, aspiration de données

Contact(s)

  • Maël Ginsburger
    courriel : mael [dot] ginsburger [at] sciencespo [dot] fr

Reference Urls

Information source

  • Maël Ginsburger
    courriel : mael [dot] ginsburger [at] sciencespo [dot] fr

To cite this announcement

« Summer Institute in Computational Social Sciences (SICSS) », Summer School, Calenda, Published on Tuesday, February 25, 2020, https://calenda.org/749450

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