This is an umbrella storage project for all the research from the museomics group at the Centre for Palaeogenetics. It includes data from two insect museum genomics projects funded by FORMAS and VR, in which we aim to investigate the evolutionary and genomic consequences of insect pollinator declines using genomics from museum specimens. We are addressing three pivotal questions: (1) Can genomics provide insights into the impact of human-driven environmental changes on pollinator population declines? (2) How have population declines affected the ability of pollinators to adapt to future environmental changes? and (3) Have pollinators adapted to past anthropogenic changes in the environment? To do this, we are using state-of-the-art bioinformatic tools to process large amounts of genomic data and advanced computational methods to quantify changes in genomic diversity over time and space in several bumblebee and butterfly species. The aim is to investigate whether these changes are linked to major human-driven environmental shifts, including transitions in agricultural practices and changes in pesticide use. Additionally, we have an ERC-funded project investigating the deliberate accumulation of woolly mammoth remains by Gravettian hunter-gatherers in Central Europe between 35,000–25,000 years ago. These accumulations were the result of human hunting activity and their intensive use of mammoths for food, tools and building material. These sites have provided insights into the lives of ice age humans, and in this project, we are investigating whether these accumulations can also help us to better understand woolly mammoth social structure. Bridging paleogenetics, archaeology and museum collections, this project employs a multidisciplinary approach to reconstruct human-mammoth-environment interactions during a crucial transitional period preceding the Last Glacial Maximum. In this project, we are focusing on the generation and bioinformatic processing of large amounts of genomic data from woolly mammoths and their integration with computational and population genetic analyses, which will provide new insights into their demographic shifts, population structure, and potential stress signals, shedding light on both natural and anthropogenic factors that influenced their decline in Central Europe.