Felhívások

Közeli határidők

CfP: Challenges, conflicts and opportunities. 100 years of state- and nationhood in Central and Eastern Europe

November 15-17, 2018, Cluj-Napoca (Kolozsvár, Klausenburg), Romania

A century has passed since the end of WWI, which brought about the disintegration of the major European multi-ethnic empires and the formation of smaller nation-states in Central and Eastern Europe.

ALAPKÉPZÉS

Közeli határidők

CfP: Special Issue

The journal Social Sciences (ISSN 2076-0760) is currently running a Special Issue entitled WORK-FAMILY BALANCE AND GENDER (IN)EQUALITIES IN EUROPE: POLICIES, PROCESSES AND PRACTICES.

MAGISZTERI

Közeli határidők

CfP: Special Issue

The journal Social Sciences (ISSN 2076-0760) is currently running a Special Issue entitled WORK-FAMILY BALANCE AND GENDER (IN)EQUALITIES IN EUROPE: POLICIES, PROCESSES AND PRACTICES.

Phd / DLA

Közeli határidők

CfP: Special Issue

The journal Social Sciences (ISSN 2076-0760) is currently running a Special Issue entitled WORK-FAMILY BALANCE AND GENDER (IN)EQUALITIES IN EUROPE: POLICIES, PROCESSES AND PRACTICES.

POSZTDOKTORI

Közeli határidők

Domus nemzetközi konferencia-részvétel pályázat 2018.


Az Akadémia Domus programja támogatni kívánja a külföldi kutatók szakmai munkásságát, nemzetközi szakmai beágyazottságát azzal, hogy idegen nyelvű előadások megtartásának támogatásával segíti aktív bekapcsolódásukat a nemzetközi tudományos életbe.

FIATAL KUTATÓI

Közeli határidők

CfP: Special Issue

The journal Social Sciences (ISSN 2076-0760) is currently running a Special Issue entitled WORK-FAMILY BALANCE AND GENDER (IN)EQUALITIES IN EUROPE: POLICIES, PROCESSES AND PRACTICES.

OKTATÓI


Jelenlegi oktatási szint:
I would like to receive Call for Applications/Papers for:
  

KÉPZÉSI SZINT
Alapképzés
Magiszteri
PhD / DLA
Posztdoktori
Fiatal kutatói
Oktatói
Kutatói
Doktorjelölt
Frissen végzett
TUDOMÁNYTERÜLET
FELHÍVÁS TÍPUSA
CÉLORSZÁG
Szűrő
Megszüntet

Call for Summer Interns


This project is a broad, multidisciplinary effort to help enable the collection, analysis, and sharing of personal data for research in social science and other fields while providing privacy for individual subjects.

Spend Summer 2015 at Harvard performing cutting-edge research on data privacy.

The Privacy Tools Project (http://privacytools.seas.harvard.edu) is looking for summer students in Computer Science, Statistics, Government, Mathematics, Law, and Social Sciences with Quantitative Experience, particularly those with an interest in learning about or working on Data Privacy.

We are working on ways for scientists to share research data for producing replicable, open science, without compromising the privacy of the individual research subjects whose data is used. Students last summer wrote or contributed to publishable research papers in this fast-moving field, and we expect the same this year.

The work across the different projects includes elements such as:
• Theory: proving mathematical theorems about what is achievable in the framework of “differential privacy,” which is a very active area of research in theoretical computer science and other fields,
• Experimental algorithms: implementing, optimizing, and testing algorithms that perform useful data analysis tasks and satisfy “differential privacy” or other privacy metrics,
• Empirical research: surveying social science datasets and analysis methods to determine the fit with different privacy technologies,
• Software development: including for statistics, user interfaces, and data visualization.
• Programming languages and computer security: design and implement programming language tools to ensure differential privacy and combine it with other computer security models.
• Law: develop legal instruments and policy recommendations that complement new privacy-preserving technologies.
• Interdisciplinary interaction: collaborating with computer scientists, social scientists, lawyers, and statisticians.

Useful background includes any of the following:
• Theoretical computer science, especially algorithms
• Data science, e.g. statistics and/or machine learning
• Programming (in R, Java, Scala, Python, Javascript, or D3)
• Quantitative analysis of social science data, especially regression ("least squares" , or OLS)
• User interfaces and user experience testing
• Programming language design and implementation
• Law, especially privacy law

More info at: privacytools.seas.harvard.edu

(forrás: http://privacytools.seas.harvard.edu)

Oszd meg a Facebookon