H2020Индивидуална стипендия2017–2019

Alexander Krauss · The limits of the sciences in identifying causes and scientific laws

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2017-03-15 → 2019-03-14
Финансиране от ЕС: 183 455 €
Участници: 1
Схема: MSCA-IF-EF-ST

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Накратко на български

Статистическите методи и техните ограничения се анализират, за да се разбере дали те наистина доказват причинно-следствени връзки. Това е важно, защото грешните изводи могат да доведат до негативни медицински, технологични и социални резултати.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

The limits of the sciences in identifying causes and scientific laws

Scientists do not often question the scientific methods used to generate causes in their particular scientific models. This research project investigates leading scientific methods, especially statistical methods, and their implicit theory, assumptions and limitations. It then outlines ways to reduce them. Better understanding the limits of using such scientific methods is important for research and policy, because these methods can often lead to some degree of biased results and scientists using them at times misguidedly claim to establish causal relationships. Yet they at times still inform policymakers and practitioners and can thus bring about negative medical, technological and societal outcomes. By combining theoretical, methodological and empirical analysis, this research project aims to help disentangle the links between the actual methods applied by scientists and the causal effects they claim to identify using these methods. The conclusions include that researchers and policymakers need to become better aware of the issues facing studies they use to inform policy, and that we need to better combine different research methods to improve understanding.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Scientists rarely question the scientific methods – and their related complex theory, strong assumptions and problematic quantitative techniques – used to generate the causes and laws in their particular scientific models, which is the guiding research question of this project. Better understanding the limits of using mathematical and statistical methods in science is important for research and policy, because these methods all lead to some degree of biased results and scientists using them often misguidedly claim to establish strong causal relationships. This research project will investigate the underlying assumptions of quantitative methods by critically assessing the leading, most cited academic studies across the sciences that all use some form of mathematical and statistical methods. By combining theoretical, methodological and empirical analysis, this research project will help disentangle the links between the actual methods applied by scientists and the causal effects and scientific laws they claim to identify in their models. Identified causes and laws need to always be understood in the context of the different methods used to express them. This research project thus aims to address the gaps in the literature on scientific methodology by providing insight and knowledge into the large set of important assumptions and limitations behind mathematical and statistical methods used to identify causes and scientific laws. By helping to increase awareness among scientists about these biases and constraints and by outlining ways to better combine multiple methods, this project also aims to help improve scientific practice. More broadly, it hopes to help improve how we understand scientific methodology and thus science and evidence-based policymaking.

Оригинален текст от CORDIS (на английски).

Участници

LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE · LondonКоординаторОбединеното кралство