1.

Record Nr.

UNISA996392110503316

Titolo

An ease for overseers of the poore [[electronic resource] ] : abstracted from the statutes, allowed by practise, and now reduced into forme, as a necessarie directorie for imploying, releeuing, and ordering of the poore. With an easie and readie table for recording the number, names, ages, exercises and defects of the poore, fit to be obserued of the ouerseers in euery parish. Also hereunto is annexed a prospect for rich men to induce them to giue, and a patterne for poore men to prouoke them to labour, very pertinent to the matter. The principall heads hereof appeare in the next page

Pubbl/distr/stampa

[London], : Printed by Iohn Legat, printer to the Vniuersitie of Cambridge, 1601

Descrizione fisica

38 p., [2] folded leaves

Soggetti

Poor laws - Great Britain

Public welfare - Great Britain

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

See also STC 9494.9--STC.

Reproduction of the original in the British Library.

Sommario/riassunto

eebo-0018



2.

Record Nr.

UNINA9910688417703321

Autore

Javier Borge-Holthoefer

Titolo

At the Crossroads: Lessons and Challenges in Computational Social Science

Pubbl/distr/stampa

Frontiers Media SA, 2016

Descrizione fisica

1 online resource (98 p.)

Collana

Frontiers Research Topics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

The interest of physicists in economic and social questions is not new: for over four decades, we have witnessed the emergence of what is called nowadays "sociophysics" and "econophysics", vigorous and challenging areas within the wider "Interdisciplinary Physics". With tools borrowed from Statistical Physics and Complexity, this new area of study have already made important contributions, which in turn have fostered the development of novel theoretical foundations in Social Science and Economics, via mathematical approaches, agent-based modelling and numerical simulations. From these foundations, Computational Social Science has grown to incorporate as well the empirical component -aided by the recent data deluge from the Web 2.0 and 3.0-, closing in this way the experiment-theory cycle in the best tradition of Physics.