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Uudet teknologiat otetaan vastaan usein tunneperäisesti, toiset ovat kiinnostuneita, toiset epäilevät. Uudet keksinnöt ja teknologiat oikein käytettyinä avaavat meille uuden maailman, tehostavat toimintoja, lisäävät luovuutta ja mahdollistavat asioita. Tämän työn tilaajat olivat sovelluskehitysyhteisö Viastar ja kulttuurialan toimija Carnivale. Tilaajia kiinnostavat uudet teknologiat kulttuuriperinnön sovelluksissa ja hankkeissa. Tämä kehittämistyö tutki ja tarkasteli, miten voimme paremmin hyödyntää uusia teknologioita sukututkimuksen apuna. Työssä tutkittiin, miten voimme yhdistää perinteisen ja DNA-analyysiin pohjautuvan sukututkimuksen. Tässä työssä käytiin myös läpi muita uusia teknologioita, joita voidaan hyödyntää sukuhistorian ja kulttuuriperinnön tallennuksessa, tutkimuksessa sekä myös yleisemmin kulttuurituotantojen tukena. Kehittämistyötä tehtiin tutkimalla ja kokeilemalla uusia teknologioita sekä käymällä läpi laajasti opinnäytetyön tekijän sukuun liittyviä sukututkimuksia ja niiden kautta esiin tullutta kulttuuriperintöä, vanhoja kuvia, karttoja ja paikkoja. Geneettisen sukututkimuksen avulla tutkittiin isä- ja äitilinjoja eri tekniikoilla ja jäljitettiin eri sukujen kulkureittejä menneiden vuosisatojen aikoina. Tässä opinnäytetyössä analysoitiin tekijän omasta suvusta teetettyjen DNA-testien tuloksia ja osoitettiin, miten ne toimivat käytännössä sukututkimuksen välineinä. Tässä työssä käsiteltyjä muita kulttuurituotannon tekniikoita olivat drone-kuvaus, lidar-kuvaus, virtuaali- ja lisätty todellisuus. Tutkimusmenetelminä käytettiin aineistotutkimusta, DNA-testejä, havainnointia, haastattelua ja kenttätyötä kokeilemalla käytännössä erilaisissä ympäristöissä uusia teknisiä välineitä. Työn tuloksina todettiin, että uudet tekniikat toimivat sukututkimuksessa ja kulttuuriperinnön tallentamisessa erittäin hyvin. Uudet tekniikat avaavat uusia sisältöjä ja osallistavat kulttuurin tuottajan sekä kuluttajan tuotantoihin syvällisesti. Toimenpide-ehdotuksena esitettiin, että sukututkimuksessa ja kulttuurituotannoissa otettaisiin rohkeasti uusia tekniikoita laajasti käyttöön toiminnan parantamiseksi ja tehostamiseksi. New technologies are often embraced emotionally: others show interest and others doubt. It is a fact that new inventions and technologies, when used properly, open up new worlds for us, streamline operations, increase creativity and enable things. This thesis was commissioned by the application development company Viastar and the cultural sector enterprise Carnivale. Both commissioners are interested in new technologies on cultural heritage applications and projects. The objective of this study was to explore and examine how new technologies can better be utilized in genealogy. The study explored how to combine traditional and genetic genealogy research. It also reviewed some other new innovative technologies that can be used on cultural heritage research and in cultural productions. The study was carried out by exploring and experimenting new technologies and going through extensive genealogy and cultural heritage materials, old images, maps, and places that have emerged through genealogy research. In terms of genetic genealogy, lineages have been studied using different DNA techniques and the pathways of different genera have been traced over the past centuries. The study analyzed the DNA research results from the author's own lineage and show how they work in practice as a tool for genealogy. Other cultural production techniques covered in this study include drone imaging, lidar imaging, as well as virtual and augmented reality. The research methods used were document analysis, observation, interview and fieldwork by experimenting new technical tools in different environments. The results indicate that the new technologies work very well in genealogy and in saving cultural heritage. New technologies open up new content and deeply involve producers, researchers and cultural consumers in productions. The thesis proposes that genealogists and cultural sector make widespread use of new technologies to improve and increase their efficiency.

Previosusly it was thought that no picture of the first telescope installed at the Astronomical Tower of the University of Latvia was preserved. During thorough search at the Museum of the University of Latvia a single picture of the telescope was found. This video explains how the picture was found. Agrāk domāja, ka Latvijas Universitātes Astronomiskā torņa pirmā teleskopa fotogrāfija nav saglabājusies. Veicot rūpīgus meklējumus Latvijas Universitātes Muzejā, tika atrasta vienīgā teleskopa fotogrāfija. Video paskaidro, kā tā tika atrasta.

This paper documents the results of an intensive "data sprint" method for undertaking data and algorithmic work using application programming interfaces (APIs), which took place during the Digital Method Initiative 2013 Winter School at the University of Amsterdam. During this data sprint, we developed a method to map the fields of Digital Humanities and Electronic Literature based on title recommendations from the largest online bookseller, Amazon, by retrieving similar purchased items from the Amazon API. A first step shows the overall Amazon recommendation network for Digital Humanities and allows us to detect clusters, aligned fields and bridging books. In a second step we looked into four country-specific Amazon stores (Amazon.com, Amazon.co.uk, Amazon.fr and Amazon.de) to investigate the specificities of the Digital Humanities in these four countries. The third step is a network of all books suggested for the Electronic Literature field in the four Amazon stores we searched, which offers a comparison to the field of Digital Humanities.

Ce jeu de données contient des données enrichies sur les membres du Bureau des longitudes, de la création de cette institution scientifique en 1795, jusqu'à 1970 (pour la dernière date d'entrée).

In the past decade, the proliferation of data and the emergence of large language models have presented both opportunities and challenges in academia. The expanding volume of data, which records knowledge from various human activities, enables data-driven approaches to optimizing numerous aspects of industrial manufacturing and people's daily life. These improvements largely stem from machine learning models trained with this data. However, the industry still faces limitations in both extracting knowledge from large, unstructured, or heterogeneous datasets and transforming the extracted knowledge into actionable insights. This challenge is exacerbated in highly specialized domains where only a few analysts possess the expertise to interpret the data. Despite the recent advancements of large language models providing more intelligent assistance for many data analysis tasks, it remains essential to ensure that these machine learning models and the knowledge they encompass are safe to use and employed for social good with human verification.In my dissertation work, I develop visual analytics (VA) and human-computer interaction (HCI) methodologies for representing and interacting with various forms of knowledge and data, particularly text data. I propose a visual knowledge discovery framework that integrates human expertise with computational approaches throughout the knowledge discovery process, while also addressing the limited availability of domain experts and the increasing scale of data. Moreover, I investigate how visual analytics can efficiently and safely harness extensive knowledge from large machine learning models, enabling users to effectively steer the exploration process and make well-informed decisions. This dissertation presents six published research works organized around my visual knowledge discovery framework and its three key tasks: knowledge exploration, knowledge presentation, and knowledge exploitation. Firstly, I demonstrate how visual analytics can support knowledge exploration with large, high-dimensional, and heterogeneous data in the domain of manufacturing and machine maintenance. Subsequently, I introduce two knowledge presentation solutions for two distinct types of data—numerical data facts and unstructured text data. Lastly, I showcase three visually-assisted knowledge exploitation applications in various domains and scenarios, encompassing document summarization, technical text annotation, and data-driven machine learning model validation.My work demonstrates how mixed-initiative methods through visual analytics applications can resolve real-world challenges in highly-specialized domains. I leverage state-of-the-art machine learning techniques, particularly natural language processing models, while always involving domain practitioners in the loop. My approach facilitates communication among parties with mismatched knowledge levels, including domain experts, data analysts, computer scientists, and artificial intelligence. Meanwhile, I prioritize the critical role of human knowledge and integrate it into intelligent visualization interfaces that undergo qualitative evaluations. I believe that domain experts' insights, supervision, and verification are invaluable, regardless of how advanced machine learning techniques become. Through the projects outlined in this dissertation, I hope to encourage philosophical and social discussions surrounding the rapidly expanding field of artificial intelligence. Ultimately, my objective is to contribute to a future where intelligent visual analytics systems can augment and enhance human capabilities, enabling individuals to navigate through the potential challenges brought by advanced AI techniques.

This program enables the user to visualize f0 contours, to plot vowels in the F1/F2 space for multiple points in the vowel interval, e.g. at 20%, 50% and 80%, and to visualize vowel durations. (The tool is implemented in R. We used the following packages: phonR, gplots, plotrix, lattice, readxl, WriteXLS, DT, psych and pracma. We thank the developers of these packages.)

This thesis interprets the role the rock art at CA-MRP-402 played in the cultural landscape for the people who created the images. Located in Mariposa County, California, this site exhibits 103 rock art panels. By combining formal landscape methods, ritual theory, ethnography, field research, and excavation, this thesis explores the activities that took place at CA-MRP-402, how this site fits into the broader cultural landscape, and why the cultural landscape of this site attracted people to mark this place. These efforts reveal that ancient Native Americans intentionally altered the landscape of CA-MRP-402 to create an astronomical observation area and generate consistent equinoctial solar and shadow alignments. This area may have afforded a type of calendar that allowed shaman astronomers to know when it was time to perform necessary rituals. Most of the rock art at CA-MRP-402 was likely created by shaman astronomers as part of their ritual interactions with the celestial beings. This study also serves to validate this multifaceted contextual approach.

L'ensemble des mentions d' instruments scientifiques relevées dans les procès-verbaux du Bureau des longitudes (jusqu'à l'année 1895)

The paper presents a novel adaptive parametric documentation, modelling and sharing methodology, which aims to achieve a continuous holistic documentation, data processing and sharing process for cultural heritage community, such as architects, engineers, archaeologists, conservators, programmers, fabricators, contest creators, game developers, scholars and common citizens. Thus, the use of advance parametric and building information modelling software allows the processing and specification of all data by creating the 3D models needed for the multidisciplinary experts. Two Cypriot case studies from the medieval time period have been chosen for the development, and evaluation of our proposed methodology in order to investigate the process of modelling and sharing all the given metadata and 3D data. The first one is the Asinou Church, a UNESCO Heritage stone monument in the Troodos Mountains with a unique interior and the Kolossi Castle, a former Crusader stronghold on the west of the city of Limassol on the island of Cyprus.