Spatial Data Science Hangout Series: Call for Speakers

The Center for Spatial Studies will again be hosting a special Spatial Data Hangout on Thursday, December 3 at 10:00 a.m. All grad students are invited to attend! We are fully aware that your schedule is already crowded with  Zoom meetings, but we are hopeful that this will be  an excuse for you to hang out with other geography grads and  learn a bit about the cool projects or ideas they have been working on this year.

This spatial data science hangout will focus on learning and discussing all sorts of graph data (and analytics that involve graphs) used to do research in our department. This includes everything related to representing and reasoning on data. This is  an opportunity for you to: (i) teach others about the tools you use to represent data for spatial reasoning, –this might include some coding, (ii) discuss common graphs for spatial analytics in your research field, (iii) discuss the process you use to create a graph that you are proud of, or (iv) present early-stage ideas, projects that you might not complete yet or learned lessons from “failed” projects. This is meant to be a safe space for people to talk through ideas, and learn from each other.  Some potential topics include spatial networks in their broadest sense, such as: 

  • Social networks
  • Transportation networks 
  • Biological networks
  • Other types of networks in your domain (stream networks)
  • Knowledge graphs

We are looking for folks who would like to lead/co-lead sessions! Depending on the number of speakers, you might be able to participate with a lightning talk or a 15-minute talk. If you are interested in participating in this, please contact Marcela Suárez at amsuarez@ucsb.edu by November 27 (preferably sooner), and otherwise mark your calendar to attend.

ThinkSpatial: Gengchen Mai

thinkspatial_log<strong></strong>oThe UCSB forum on spatial technologies presents

Space2Vec: Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Gengchen Mai

STKO Lab

University of California, Santa Barbara

11:30 a.m. (PT)

Tuesday, Dec 1, 2020

Zoom:  https://ucsb.zoom.us/meeting/register/tZUtcu6rrzosE9VEnfMGptAxbxe4zhNILoHY

Upon registration, you will receive access to this link

Abstract. Unsupervised text encoding models have recently fueled substantial progress in NLP. The key idea is to use neural networks to convert words in texts to vector space representations (embeddings) based on word positions in a sentence and their contexts, which are suitable for end-to-end training of downstream tasks. We see a strikingly similar situation in spatial analysis, which focuses on incorporating both absolute positions and spatial contexts of geographic objects such as POIs into models. A general-purpose representation model for space is valuable for a multitude of tasks. However, no such general model exists to date beyond simply applying discretization or feed-forward nets to coordinates, and little effort has been put into jointly modeling distributions with vastly different characteristics, which commonly emerges from GIS data. Meanwhile, Nobel Prize-winning Neuroscience research shows that grid cells in mammals provide a multi-scale periodic representation that functions as a metric for location encoding and is critical for recognizing places and for path-integration. Therefore, we propose a representation learning model called Space2Vec to encode the absolute positions and spatial relationships of places. We conduct experiments on two real-world geographic data for two different tasks: (1) predicting types of POIs given their positions and context, (2) image classification leveraging their geo-locations. Results show that because of its multi-scale representations, Space2Vec outperforms well-established ML approaches such as RBF kernels, multi-layer feed-forward nets, and tile embedding approaches for location modeling and image classification tasks. Detailed analysis shows that all baselines can at most well handle distribution at one scale but show poor performances in other scales. In contrast, Space2Vec ’s multi-scale representation can handle distributions at different scales.

 

Bio. Gengchen Mai is a Ph.D. candidate at the Space and Time for Knowledge Organization Lab in the Department of Geography, University of California, Santa Barbara. His Ph.D. adviser is Prof. Krzysztof Janowicz. His research interests include Machine Learning/Deep Learning, GIScience, Geographic Question Answering, NLP, Geographic Information Retrieval, Knowledge Graph, and Semantic Web. Currently, Mai’s research is highly focused on Geographic Question Answering and Spatially-Explicit Machine Learning models. He received his B.S. Degree in Geographic Information System from Wuhan University. Thus far, he has completed four AI/ML research-based internships at Esri Inc., SayMosaic Inc., Apple Map, and Google X. He now serves as a machine learning consultant/advisor for Google X.

The objectives of the ThinkSpatial brown-bag presentations are to exchange ideas about spatial perspectives in research and teaching, to broaden communication and cooperation across disciplines among faculty and graduate students, and to encourage the sharing of tools and concepts.

Please contact Marcela Suarez (amsuarez@ucsb.edu), or Karen Doehner (kdoehner@spatial.ucsb.edu)), to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial thinking.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar

ThinkSpatial: Patricia Murrieta-Flores

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On Tuesday, November 24, 2020, the UCSB forum on spatial thinking presents

Subaltern Spatial Thinking: Towards a decolonial approach to spatial technologies

 

Patricia Murrieta-Flores

Lancaster University

11:30 a.m. Tuesday, November 24, 2020 | Zoom*

Abstract:

The quick emergence of digital technologies and the rise of the use of computational approaches and tools in all disciplines have substantially changed the ways that we do research, expediting and placing at our fingertips datasets and information at a scale that was impossible before. While our societies have enthusiastically embraced this change, technologies are neither unbiased nor innocent. In the wake of Geographic Information Systems (GIS), a now-ubiquitous tool, disciplines such as history and archaeology have adopted this technology for the study of the past. This is well represented in the creation of the field called the Spatial Humanities. Rooted in a modern, western and Cartesian conception of space, while GIS has proved invaluable to advance both research and discussions related to geography, space and place in these fields, there is the need for critical reflection regarding its use, and to work towards the development of more inclusive spatial tools. Given GIS’ increasing popularity in Humanities research worldwide, and especially its emergence in the Global South, I will present a case study from research produced in the project “Digging into Early Colonial Mexico: A large-scale computational analysis of 16th century historical sources”, aiming to showcase how through the analysis of Mesoamerican spatial thinking, we can highlight the need of carefully considering the use of particular technologies in historical research, and discuss a decolonial approach to technology.

Bio:

Patricia Murrieta-Flores is Senior Lecturer and Co-Director of Digital Humanities at Lancaster University. Her interest lies in the application of technologies for Humanities and her primary research area is the Spatial Humanities. Her main focus is the investigation of different aspects of space, place and time using a range of technologies including GIS, NLP, Machine Learning and Corpus Linguistics approaches. Patricia is the PI on the Transatlantic Platform (T-AP) funded project ‘Digging into Early Colonial Mexico: A large-scale computational analysis of 16th century historical sources’, and also collaborator and Co-I in multiple projects funded by the ERC, ESRC, AHRC, HERA, and the Paul Mellon Centre among others. She has edited and contributed to multiple books on Digital Humanities, Cultural Heritage, the use of GIS and other technologies in Archaeology, History, and Literature, and she has published multiple articles exploring theories and methodologies related to space and place. She is currently Executive Board Secretary Elect of the Alliance of Digital Humanities Organizations (ADHO).

The objectives of the ThinkSpatial brown-bag presentations are to exchange ideas about spatial perspectives in research and teaching, to broaden communication and cooperation across disciplines among faculty and graduate students, and to encourage the sharing of tools and concepts.

Please contact Marcela Suarez (amsuarez@ucsb.edu), Karen Doehner (kdoehner@spatial.ucsb.edu), or Emmanuel Papadakis (epd@ucsb.edu), to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial thinking.

*This talk is a part of the spatial series Knowledge Representation and GeoHumanities; upon registration, you can access all the talks of the series using the provided link.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar

SpatialTech: Bruno Martins

On Tuesday, November 17, 2020, The UCSB forum on spatial technology presents

Challenges in resolving place names over text

 

Bruno Martins

University of Lisbon

11:30 a.m. Tuesday, November 17, 2020 | Zoom*

Abstract:

Toponym resolution concerns the disambiguation of place names in textual documents, envisioning the support for applications such as geographical search or the mapping of textually encoded information. Place names are first recognized through a named entity recognition model, and the disambiguation is then achieved by associating each of the place references to a unique position on the Earth’s surface, e.g., through the assignment of geospatial coordinates. The toponym resolution task is particularly challenging, given that place references are highly ambiguous (i.e., distinct locations can share the same place name, and multiple names can be used to refer to the same place). In this talk, I will discuss techniques for toponym resolution, with a particular emphasis on a novel deep learning approach. Contrarily to most previous methods, the novel approach does not involve matching references in the text against entries in a gazetteer, instead directly predicting geospatial coordinates. In brief, the neural network architecture considers multiple inputs (e.g.,the toponym to disambiguate together with the surrounding words), leveraging pre-trained contextual word embeddings for modeling the textual data. The intermediate representations are then used to predict a probability distribution over possible geospatial regions, and finally to predict the coordinates for the input toponym. I will present evaluation results over different types of corpora (e.g., modern newswire text or historical documents), and I will discuss the impact of model extensions related to (i) the use of external information concerning geophysical terrain properties, including information on terrain development or elevation, among others, and (ii) additional training data collected from Wikipedia articles, to guide and further help with model training.

Bio:

Bruno Martins is an assistant professor at the Computer Science and Engineering Department of Instituto Superior Técnico of the University of Lisbon (IST/UL), and a researcher at the Information and Decision Support Systems Lab of INESC-ID, where he works on problems related to the general areas of information retrieval, text mining, and the geographical information sciences. He received his MSc and PhD degrees from the Faculty of Sciences of the University of Lisbon, both in Computer Science. Bruno has been involved in several research projects related to geospatial aspects in information access and retrieval, and he has accumulated significant expertise in addressing challenges at the intersection of language technologies, machine learning, and the geographical information sciences. He and his students have worked on many different application areas, and he is proudest of the many PhD/MSc students who have graduated under his supervision and are now building wonderful careers.

Material:
SpatialTech-Bruno-Martins

The objectives of the Spatial Technology presentations are to exchange ideas and promote discussion and interaction within the spatial technology community

Please contact Karen Doehner, kdoehner@spatial.ucsb.edu or Emmanuel Papadakis epd@ucsb.edu, to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial technologies.

*This talk is a part of the spatial series Knowledge Representation and GeoHumanities; upon registration, you can access all the talks of the series using the provided link.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar

SpatialTech: Ben Adams

On Tuesday, October 20, 2020, The UCSB forum on spatial technology presents

Contrastive explanations in GeoAI

 

Ben Adams

University of Canterbury

4:00 p.m. Tuesday, October 20, 2020 | Zoom

Abstract:

In the last few years interest in GeoAI has grown as newer machine learning techniques have shown success when applied to geographic problems. For the most part, this work has focused on training predictive deep learning models using large data sets. However, these models can be opaque and the reasoning behind why certain outcomes are predicted will not be clear to a human who might want to make informed decisions based on the predictions. In this talk my plan is not to discuss my own prior research but rather to introduce some recent research on explainable AI, and then to start a discussion within the GeoAI community about how we can build geographic AI systems that better explain their reasoning. In particular, I will focus on contrastive explanations and show how they might work for the kinds of use cases that have been presented at the Reasoning in GeoAI workshop, including crime analysis, travel behaviour modelling, and population projection.

Bio:

Ben Adams is a Senior Lecturer in the Department of Computer Science and Software Engineering at the University at Canterbury, New Zealand. He holds a PhD from the University of California, Santa Barbara and his research mainly focuses on exploring new ways of using computing technology to advance human understanding of the environment and world. His research includes the development of theories that explain how digital information reflects human conceptualization and building software systems that problem solving. Ben’s research interests include, indicatively, information retrieval, environmental narratives, spatial data science, spatial cognition and environmental narratives.

Material:
SpatialTech-Ben-Adams

The objectives of the Spatial Technology presentations are to exchange ideas and promote discussion and interaction within the spatial technology community

Please contact Karen Doehner, kdoehner@spatial.ucsb.edu or Emmanuel Papadakis epd@ucsb.edu, to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial technologies.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar

SpatialTech: Seila Gonzalez Estrecha

On Tuesday, November 10, 2020, The UCSB forum on spatial technology presents

Enslaved.org: A knowledge representation in WikiBase of people, events and places in the historical slave trade

 

Seila Gonzalez Estrecha

Michigan State University

11:30 a.m. Tuesday, November 10, 2020 | Zoom*

Abstract:

The Enslaved.org project brings together multiple siloed datasets in a Wikibase representation of People, Places, and Events within the historical slave trade. A goal of this project is to develop a tool for scholars and the public to interact with this data to better understand the lives of enslaved Africans and their descendants. The vague definitions for places, with limited geographical information, presents challenges for this project including identifying the best approaches to represent the data. In this context, the meaning of place does not only include the concept of space but also the ethno-identity of many of those who were enslaved. This talk addresses the solutions taken by Enslaved.org in order to represent space, event, and people information and various challenges, including the technology behind the project and the motive to use Wikibase. It also covers the influence of places to disambiguate people records and the ontology alignment between the Wikibase graph and the owl ontology developed for Enslaved.org.

Bio:

Seila Gonzalez Estrecha manages and oversees the design and development of all software at Matrix, including all frontend and backend aspects of web applications, designing databases architecture, decision made for tools and technologies to be implemented, roadmap of software development of any Matrix products, identifying issues and common patterns, and developing standard operating procedures. She has experience implementing semantic web-based systems and standards for ontology-centered knowledge graphs, including work on knowledge graph modularization, ontology design patterns, interdisciplinary knowledge graph development, ontology alignment, data integration and implementation of SPARQL queries. Gonzalez directs the work of developers to ensure the adherence to best practices. She has experience in multiple programming languages and types of databases. Prior to coming to MSU, Gonzalez worked in the private sector as a java software engineer and GIS software developer.

Material:
SpatialTech-Seila Gonzalez-Estrecha

The objectives of the Spatial Technology presentations are to exchange ideas and promote discussion and interaction within the spatial technology community

Please contact Karen Doehner, kdoehner@spatial.ucsb.edu or Emmanuel Papadakis epd@ucsb.edu, to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial technologies.

*This talk is a part of the spatial series Knowledge Representation and GeoHumanities; upon registration, you can access all the talks of the series using the provided link.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar

SpatialTech: Yingjie Hu

On Wednesday, October 21, 2020, the UCSB forum on spatial technology presents

Advancing Spatial and Textual Analysis with GeoAI

 

Yingjie Hu

University of Buffalo

11:30 a.m. Wednesday, October 21, 2020 | Zoom*

Abstract:

A rich amount of geographic information exists in unstructured texts, such as news articles, web pages, historical archives, and social media posts. Geoparsers are useful tools that extract location mentions from unstructured texts, thereby enabling spatial analysis of big textual data. In this talk, I will present our recent work in designing a unified platform for comparing geoparsers and building a deep learning-based model for improving toponym recognition from social media messages.

Bio:

Yingjie Hu is an Assistant Professor in the Department of Geography at the University at Buffalo (UB) and the National Center for Geographic Information and Analysis (NCGIA). He develops and applies spatial analysis, data mining, machine learning, and deep learning methods to address various geospatial problems in disaster response, public health, urban planning, and digital humanities. He received his Ph.D. from the Department of Geography at the University of California, Santa Barbara, and is an alumnus of the STKO Lab. He holds M.S. and B.S. degrees from East China Normal University. Hu is the author of over 50 peer-reviewed articles in top journals and conferences. He is passionate about teaching and conducting research on GIScience.

Material:
SpatialTech-Yingjie-Hu

The objectives of the Spatial Technology presentations are to exchange ideas and promote discussion and interaction within the spatial technology community

Please contact Karen Doehner, kdoehner@spatial.ucsb.edu or Emmanuel Papadakis epd@ucsb.edu, to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial technologies.

*This talk is a part of the spatial series Knowledge Representation and GeoHumanities; upon registration, you can access all the talks of the series using the provided link.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar

ThinkSpatial: Karl Grossner

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On Tuesday, October 27, 2020, the UCSB forum on spatial thinking presents

Representing Place for World Historical Gazetteer

 

Karl Grossner

University of Pittsburgh World History Center

11:30 a.m. Tuesday, October 27, 2020 | Zoom*

Abstract:

The recently launched World Historical Gazetteer (WHG) web platform aggregates contributions of information about named places drawn from historical source material by researchers studying the past in numerous humanities and social science fields. There are no constraints upon spatial or temporal extents, nor on scale of features, however, the project focus to date is on populated places, administrative units, natural geographic features, and regions of all kinds. Contributed datasets can be of any size.

To date, the WHG data stores hold records for about 1.8 million places having over 3 million name variants. Of these, only 60,000 have explicit temporal attributes; the remainder have been accessioned from the Getty Thesaurus of Geographic Names (TGN) and have unspecified temporal scope. We anticipate that the temporally scoped portion of WHG data will eventually grow to upwards of 10 million records. The project’s overarching goal is a free global resource useful for:

  1. geocoding of historical source materials, enabling mapping and spatial analysis of individual texts, corpora, and datasets
  2. linking historical research datasets and projects via shared references to places
  3. teaching, particularly geospatial perspectives in History
  4. via APIs, support for digital historical atlases and story maps

Linked Places format
As a data aggregation platform, WHG requires a standard contribution format. Researchers model data to suit their purposes, impacted by the nature of the source material and their conceptual model(s) of the phenomena being studied. We have developed the Linked Places format jointly with the Pelagios project, for use in both systems. Linked Places format is a hybrid: it is valid GeoJSON which has been extended with “when” objects for temporal scoping (GeoJSON-T), and it is valid JSON-LD v1.1, an RDF syntax.

Linked Places format enables relatively rich descriptions of places, including the temporal scoping of names, types, geometries, and relations with other places. We also developed a simpler and less expressive delimited text format, LP-TSV, and an automated transform is performed on ingest to WHG.

Toward Knowledge Representation
In this talk, Grossner will give an overview of Linked Places format, and the somewhat unorthodox path taken in development of its conceptual model, syntax, and supporting ontology. That path reflects the way that ontologies can emerge as working systems are developed, not as an afterthought, but as a product of investigating the entities and relations of a domain as the many variations of entities and properties “in the wild” present themselves.

Bio:

Karl Grossner is an independent GIScience researcher working to develop novel models, standard formats, and semantically-enabled software and systems supporting the emerging genre of digital historical atlases. Broadly, his research interest concern “computing place.” A co-founder of the GeoHumanities SIG within the Alliance for Digital Humanities Organizations (2013), Grossner is an active member of that global and trans-disciplinary community. From 2017 to the present, Grossner has served as Technical Director of the World Historical Gazetteer project at the University of Pittsburgh’s World History Center (whgazetteer.org).

After earning his Ph.D. in Geography at Santa Barbara in 2010, Grossner remained at the Center for Spatial Studies for a year, co-leading the NSF-funded TeachSpatial project (teachspatial.org) with Donald Janelle, the Center’s Program Director at the time. Following that, he worked for five years as a digital humanities research developer at Stanford University, building several significant interactive scholarly web applications in partnership with faculty members. Grossner’s side projects in recent years include GeoJSON-T, a temporal extension to the GeoJSON standard, and Linked Paths, experimental web software for representing, sharing, and analyzing data about historical geographic movement, including journeys, flows, and named routes.

Material:
ThinkSpatial-Grossner

The objectives of the ThinkSpatial brown-bag presentations are to exchange ideas about spatial perspectives in research and teaching, to broaden communication and cooperation across disciplines among faculty and graduate students, and to encourage the sharing of tools and concepts.

Please contact Marcela Suarez (amsuarez@ucsb.edu), Karen Doehner (kdoehner@spatial.ucsb.edu), or Emmanuel Papadakis (epd@ucsb.edu), to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial thinking.

*This talk is a part of the spatial series Knowledge Representation and GeoHumanities; upon registration, you can access all the talks of the series using the provided link.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar

ThinkSpatial: Nicola Guarino

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On Tuesday, October 13, 2020, The UCSB forum on spatial thinking presents

Events and their (Spatial) Context: On the Semantics of Locative Modifiers

 

Nicola Guarino

ISTC-CNR Laboratory for Applied Ontology, Trento

9:00 a.m. Tuesday, October 13, 2020 | Zoom*

Abstract:

The notion of event is intimately connected to that of context. Describing an event means not just saying what happened, but also specifying how it happened, by adding details (generically called modifiers) that often involve the broader context where the event occurred. These modifiers often express locative information. But what are we referring to, when we add a locative modifier? This is an issue that has been investigated in the literature on linguistic semantics (especially by Claudia Maienborn), and is still rather open. Consider for instance “Maradona signed the contract in Argentina” versus “Maradona signed the contract on the last page.” While in the first case the modifier clearly denotes the location of the signature event, in the second case it refers to the location of something else. Similarly, in “John kissed Mary on the boat” the semantics of the locative modifier is clear, but in “John kissed Mary on the cheek” the semantics is different. In this talk, I will present a novel theory of events that explains these phenomena in terms of relationships between the modifier and the event’s context. It is a sort of microscopic approach based on the Aristotelian theory of change, according to which the actual subjects of change are individual qualities inhering in the participants, and not the participants themselves. In this view, an event (in its simplest form) is a single quality manifestation, i.e., the occurrence of a change (or unchanged) with respect to one of its qualities. More generally, ordinary events are clusters of quality manifestations, consisting of a focus accounting for what happens, and an internal context accounting for how it happens. Event kinds provide criteria to carve up events from the broader context by determining their focus and their internal context.

Bio:

Nicola Guarino is a retired research associate at the Institute of Cognitive Sciences and Technologies of the Italian National Research Council (ISTC-CNR), and former director of the ISTC-CNR Laboratory for Applied Ontology (LOA) based in Trento. Since 1991 he has been playing a leading role in the ontology field, developing a strongly interdisciplinary approach that combines together Computer Science, Philosophy, and Linguistics. The impact of such an approach is testified by a long list of widely cited papers and many keynote talks and tutorials in major conferences involving different communities. Among the most well-known results of his lab, the OntoClean methodology and the DOLCE foundational ontology. Guarino has been the founder and editor-in-chief (with Mark Musen, Stanford University) of the Applied Ontology journal, founder and former president of the International Association for Ontology and its Applications (IAOA), and editorial board member of Int. Journal of Semantic Web and Information Systems and Journal of Data Semantics. He is also a founding member of the Italian Association for Artificial Intelligence and fellow of the European Association for Artificial Intelligence (EurAI).

On the theoretical side, Guarino’s current research interests are focusing on the ontological foundations of knowledge representation and conceptual modeling and specifically the ontology of events and relationships (collaborating with Giancarlo Guizzardi to the new version of the UFO ontology), while on the application side his research is focusing on enterprise modeling and the ontology of economics. He is also interested in leveraging ontological analysis and semantic technologies to improve cognitive transparency, social accountability, and the participatory governance of artificial intelligence artifacts.

Material:
ThinkSpatial-Nicola-Guarino

The objectives of the ThinkSpatial presentations are to exchange ideas about spatial perspectives in research and teaching, to broaden communication and cooperation across disciplines among faculty and graduate students, and to encourage the sharing of tools and concepts.

Please contact Karen Doehner, kdoehner@spatial.ucsb.edu or Emmanuel Papadakis epd@ucsb.edu, to review and schedule possible discussion topics or presentations that share your disciplinary interest in spatial thinking.

*This talk is a part of the spatial series Knowledge representation and GeoHumanities; upon registration, you can access all the talks of the series using the provided link.

Follow spatial@ucsb on Twitter | Google+ | Google Calendar

Series of themed spatial events

Spatial Series

 

The Center for Spatial Studies organizes series of Spatial Thinking (ThinkSpatial) and Spatial Technology (SpatialTech) events around a particular theme of interest to spatial communities. Every series runs over one semester and it is distributed in several sessions per month focusing on the theories, concepts, applications and technologies of the current theme.

Please contact Karen Doehner, kdoehner@spatial.ucsb.edu or Emmanuel Papadakis epd@ucsb.edu, to review and schedule possible discussion topics or presentations that share your disciplinary interest with the running theme.

Series 2020–2021

 (also available on our Google Calendar)

Fall '20: Knowledge Representation and GeoHumanities
Speakers from a variety of disciplines will deliver talks to communicate interdisciplinary ideas, methods, and technologies about the exciting topic of GeoHumanities. The objective is to study the challenges of representing the spatial knowledge of human phenomena and explore how spatial studies can embrace broader perspectives of space and place that are not bound to existing models or technologies. Read more.