Ready to take your social network research beyond descriptive metrics? Join Antonio Zinilli for an advanced, hands-on online seminar on social network analysis using RStudio, designed for PhD students, postdoctoral researchers, and established social scientists. Learn to prepare relational data, compute and interpret centrality measures, create publication-quality network visualisations, and connect network patterns to substantive research questions. A real-world case study and an introduction to Exponential Random Graph Models (ERGMs) will help you build a rigorous, reproducible workflow for dissertations, publications, and collaborative projects. Attend live via Zoom or learn asynchronously, with recordings, materials, and expert-monitored Q&A available for 30 days after the seminar. An official Instats certificate of completion is included. #SocialNetworkAnalysis #RStudio #PhD #ResearchMethods #ComputationalSocialScience #ComputationalSocialScience #ComputationalStatistics #Criminology #DataAnalytics #DataScience #Demography #NetworkAnalysis #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialNetworkAnalysis #SocialPolicy #SocialPsychology #SocialSciences #SocialStratification #Sociology #Statistics #RStudio #Research #ResearchTraining #Instats

How can researchers and instructors use Large Language Models responsibly without compromising scholarly validity, attribution, or trust? This online seminar for PhD students and professional researchers introduces a practical, researcher-controlled framework for governing LLM use in academic workflows, from manuscript and grant writing to thesis supervision, syllabus design, assessment, and grading. Moving beyond simple fact-checking, the seminar focuses on deeper epistemic and ethical challenges such as structural hallucination, citation distortion, thematic incoherence, and unclear intellectual attribution. Participants will learn a computationally lightweight validation pipeline using familiar tools such as Python, NetworkX, NLP methods, citation parsing, bibliometric analysis, and knowledge graphs to evaluate whether LLM-assisted work is structurally coherent, bibliographically grounded, and methodologically responsible. The seminar is designed for those who want to integrate LLMs into serious academic work without treating them as uncontrolled text generators, and participants will leave with practical protocols for auditing, supervising, and documenting human–LLM collaboration. The seminar is offered online via Zoom, with recordings and materials available for 30 days, an online Q&A forum, an official Instats certificate of completion, and ECTS equivalent points where applicable. disciplines #ArtificialIntelligence #BibliometricResearch #ComputerScience #HigherEducation #Management #OrganizationStudies #ResearchMethods #SocialNetworkAnalysis #Education #DataScience #InformationScience #Ethics #Epistemology #PhilosophyofScience #OpenAI #Python #Research #ResearchTraining #Instats

How can researchers and instructors use Large Language Models responsibly without compromising scholarly rigor? This online seminar for PhD students and professional researchers introduces a practical, researcher-controlled framework for integrating LLMs into academic workflows while addressing key epistemic and ethical challenges around factual accuracy, structural coherence, bibliographic grounding, and fair attribution. Participants will learn how to identify risks such as structural hallucination, citation distortion, and thematic incoherence, and how to apply lightweight validation methods using familiar tools such as Python, NetworkX, citation parsing, and network analysis. Covering high-stakes applications including manuscript and grant writing, thesis supervision, syllabus design, assessment, and grading, the seminar offers a concrete toolkit for placing LLM-assisted work under transparent human scholarly control. Livestream access is available via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar; participants also receive an official Instats certificate of completion, with ECTS Equivalent points available where shown. disciplines #ArtificialIntelligence #BibliometricResearch #ComputerScience #HigherEducation #Management #OrganizationStudies #ResearchMethods #SocialNetworkAnalysis #Education #DataScience #InformationScience #Ethics #Epistemology #PhilosophyofScience #OpenAI #Python #Research #ResearchTraining #Instats

Join us for a three-day online workshop on using Large Language Models (LLMs) for qualitative social network research, taught by Professor Moses Boudourides of Northwestern University. Designed for PhD students, academic researchers, and professional researchers across anthropology, sociology, communication, media studies, organization studies, public policy, social psychology, and related fields, this hands-on seminar explores how LLMs can support qualitative coding, entity and relation extraction, socio-semantic network construction, validation, visualization, and reproducible research workflows. Participants will work in Python/Jupyter with practical notebooks and real research problems, learning how to extract actor relationships from interviews and social media, build actor–topic and actor–attribute networks, integrate outputs with NetworkX/igraph/graph-tool, assess uncertainty and bias, and document methods for peer-reviewed publications, dissertations, and grant proposals. The workshop combines methodological rigor, ethical reflection, and immediately applicable code, with live Zoom sessions, access to recordings and materials for 30 days, a monitored Q&A forum, and an official Instats certificate of completion. #Anthropology #Communication #ComputationalSocialScience #ComputerScience #Ethnography #Management #Media #OrganizationStudies #SocialMedia #SocialNetworkAnalysis #SocialPolicy #SocialPsychology #Sociology #PublicPolicy #SocialTheory #Statistics #DataScience #InformationScience #Ethics #Jupyter #Python #Research #ResearchTraining #Instats

Join our comprehensive 5-day online workshop on Network Analysis with Python, designed for PhD students, academics, and professional researchers who want to apply network science to complex data across the natural and social sciences. Led by Professor Moses Boudourides, this hands-on seminar will guide participants through constructing and analyzing networks using Python and NetworkX, including graph types, adjacency matrices, connectivity, motifs, centrality, communities, subgraphs, paths, and network structure. Through practical coding sessions, real-world examples, discussions, and take-home skill challenges, participants will gain the tools to uncover hidden patterns, identify influential nodes, evaluate network dynamics, and apply computational network science methods to their own research. The seminar is delivered live via Zoom, with recordings, slides, code, data, and materials available for 30 days after the workshop, along with access to an instructor-monitored discussion forum. An official Instats certificate of completion is provided, with ECTS Equivalent points available for European students. #Engineering #ComputerScience #DataScience #InformationScience #Mathematics #Communication #OrganizationStudies #SocialSciences #InformationSystems #ComputationalSocialScience #SocialNetworkAnalysis #DigitalHumanities #Python #Research #ResearchTraining #Instats

Unlock new ways to model complexity with our online seminar on Hypernetworks and Hypergraphs, designed for PhD students, academics, and professional researchers working with interconnected systems. Led by Professor Moses Boudourides from the Data Science Graduate Program at Northwestern University, this four-day workshop combines theoretical foundations with hands-on Python applications to help participants analyze higher-order and multidimensional relationships that traditional network models cannot fully capture. Topics include hypergraph definitions and visualization, structural metrics, centrality, community partitioning, simplicial complexes, temporal hypergraphs, contagion models, random hypergraphs, clustering, and hyperlink prediction. With applications across computational biology, bibliometrics, chemical reaction networks, social and health network analysis, and more, the seminar equips researchers with practical tools for generating new insights into complex systems. Participants receive access to recordings and materials for 30 days, take-home skill challenges, instructor-supported discussion, and an official Instats certificate of completion, with ECTS Equivalent points available for European students. #ComputerScience #DataScience #InformationScience #ComputationalBiology #ComputationalSocialScience #SocialNetworkAnalysis #DigitalHumanities #Multidisciplinary #CognitiveScience #Biology #Statistics #Mathematics #Biostatistics #Python #Research #ResearchTraining #Instats

How can large language models strengthen qualitative research while preserving interpretive rigor? Join this three-day online Instats workshop with Professor Moses Boudourides (Northwestern University) to explore hands-on, reproducible workflows for using LLMs in social network research. Designed for PhD students, academic researchers, and professional researchers working across anthropology, ethnography, communication, media studies, sociology, organization studies, social psychology, public policy, and related fields, the seminar shows how to extract actors, ties, events, attributes, and narratives from textual data; build socio-semantic and two-mode networks; validate automated coding against human annotation; and integrate outputs with Python/Jupyter and network analysis tools such as NetworkX, igraph, and graph-tool. Participants will work with annotated notebooks, real research problems, and practical methods for visualization, uncertainty assessment, RAG, ethical review, reproducibility, and publication-ready documentation. The workshop is available live via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days afterward, and participants receive an official Instats certificate of completion. #Anthropology #Communication #ComputationalSocialScience #ComputerScience #Ethnography #Management #Media #OrganizationStudies #SocialMedia #SocialNetworkAnalysis #SocialPolicy #SocialPsychology #Sociology #PublicPolicy #SocialTheory #Statistics #DataScience #InformationScience #Jupyter #Python #Research #ResearchTraining #Instats

How do social networks shape access to ideas, resources, and opportunities in education, policy, and communities? Join our intensive two-day online workshop on Egocentric Social Network Analysis (SNA) using Stata, designed for PhD students and professional researchers who want hands-on training in designing, managing, and analyzing ego-network data. Working with a curated subset of the UC Berkeley Social Networks Study (UCNets) and instructor-provided case materials, participants will learn how to design ethical egocentric surveys, structure ego–alter data, compute key network measures such as size, tie strength, multiplexity, and homophily, and incorporate these measures into regression models for publication-ready research. The workshop includes live Zoom sessions, recordings and materials available for 30 days, annotated Stata do-files, datasets, a data dictionary, survey instruments, troubleshooting resources, and post-seminar Q&A support. Participants will also receive an official Instats certificate of completion. Perfect for researchers in education, social stratification, policy, sociology, and related fields who want to make stronger, more defensible use of social network data in their work. #Education #PublicPolicy #SocialNetworkAnalysis #SocialPsychology #SocialSciences #SocialStratification #Sociology #DataScience #Statistics #SocialTheory #Stata #Research #ResearchTraining #Instats

Aims and objectives This paper presents an exploratory account of an innovative methodology to record and evaluate fundamental care. Fundamental care is defined as the care required by everyone for ...

Figuring out the Network