中文簡介

EPJ數(shù)據(jù)科學(xué)是一個(gè)同行評(píng)審的開放獲取期刊，以SpringerOpen品牌出版。數(shù)據(jù)驅(qū)動(dòng)科學(xué)正迅速成為傳統(tǒng)假設(shè)驅(qū)動(dòng)方法的補(bǔ)充方法。伴隨范式從還原論向復(fù)雜系統(tǒng)科學(xué)轉(zhuǎn)變而來的這場革命，已經(jīng)在很大程度上改變了自然科學(xué)，而且從廣泛的角度來看，即將給技術(shù)社會(huì)經(jīng)濟(jì)科學(xué)帶來同樣的變化。EPJ數(shù)據(jù)科學(xué)雜志探討了跨學(xué)科的數(shù)據(jù)革命的挑戰(zhàn):·如何從日益復(fù)雜的系統(tǒng)中提取有意義的數(shù)據(jù)·如何分析數(shù)據(jù)，激發(fā)新的見解·如何生成需要但尚未可用的數(shù)據(jù)·關(guān)于復(fù)雜的自然或人工系統(tǒng)的功能，如何發(fā)展新的經(jīng)驗(yàn)法則，或更基本的理論EPJ數(shù)據(jù)科學(xué)涵蓋了廣泛的研究領(lǐng)域和應(yīng)用，以社會(huì)系統(tǒng)為重點(diǎn)，包括那些把人類行為的數(shù)字痕跡作為科學(xué)研究的一級(jí)對(duì)象的研究路線。這包括人類和動(dòng)物的社會(huì)行為和相互作用、經(jīng)濟(jì)和金融系統(tǒng)、管理和商業(yè)網(wǎng)絡(luò)、社會(huì)技術(shù)基礎(chǔ)設(shè)施、衛(wèi)生和環(huán)境系統(tǒng)、科學(xué)以及一般風(fēng)險(xiǎn)和危機(jī)情景預(yù)測。

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英文簡介

EPJ Data Science is a peer-reviewed open access journal published under the SpringerOpen brand.Data-driven science is rapidly emerging as a complementary approach to the traditional hypothesis-driven method. This revolution accompanying the paradigm shift from reductionism to complex systems sciences has already largely transformed the natural sciences and is about to bring the same changes to the techno-socio-economic sciences, viewed broadly.The journal EPJ Data Science addresses the challenges of the data revolution across academic disciplines:· how to extract meaningful data from systems with ever-increasing complexity· how to analyze data in ways that inspire new insights· how to generate data that is needed but not yet available· how to develop new empirical laws, or more fundamental theories, concerning the function of complex natural or artificial systemsEPJ Data Science spans a broad range of research areas and applications with a focus on social systems, where it comprises those research lines that regard digital traces of human behavior as first-order objects for scientific investigation. This includes human and animal social behavior and interaction, economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting.