Join the Vermont GIS and Data Science community at Main Street Landing on Burlington's waterfront and learn about the latest technology, see examples of outstanding projects, and discuss big ideas for the future across the two days. GeoDatSci is the evolution of the annual ‘Geospatial Forum’ that Vermont’s GIS community has held for over decade. We are excited that this year’s event is expanding the community and topics to include the emerging world of data science.
New possibilities and emerging trends.
New skills from experts offering practical advice to help you in your day to day work.
With new and old friends in Vermont's GIS and Data Science Communities.
Marguerite Dibble is the CEO of GameTheory and a consultant on game design, computer science education, and strategic development. She studied game development at Champlain College and founded her company before graduating in 2012. She was appointed to the Board of Trustees at Champlain College and currently serves on the Board of Directors for Vermont Public Television. She has been a keynote speaker at many events, including a TEDX talk, discussing the ways in which we can use game design for good, and promote diversity in technology spaces.
Attend both days or come for just one.
GeoDatSci was originally called the Vermont Geospatial Forum and has been run for many years by the Vermont Center for Geographic Information (VCGI). The change of the event name and the inclusion of data science was introduced in 2018 with the goal of bridging the two fields.
Cost: Free and open to the public
This event will be composed of four half-hour talks exploring non-traditional applications of GIS and data in a range of fields. It is open to the general public and is held at Generator, a makerspace, learning lab, and incubator at the intersection of art, science, and technology.
Parking: Park on Sears Lane or behind the Champlain College Miller Center on Lakeside Avenue.
Cost: $65 Early bird (before April 15), $75 Regular
Topics will cover big ideas, interesting projects and technical instruction in the fields of GIS and Data Science. Most talks will be 20 minutes with a 10 minute Q&A and transition. Sponsor tables will be set up in the Filmhouse Lobby and the Atrium for visiting during breaks and between talks.
Food: Breakfast snacks and a brown bag lunch will be provided; if there are any dietary constraints, please let us know in the comments of the registration form.Parking: There is no free parking for the venue; please review paid options for Burlington City Parking below.
The field of data science has grown explosively in the last decade. With humble roots in statistics, decision sciences, computer science, and economics, there are now data scientists in nearly every realm, from business to government. Yet, for the popularity of data science, most people in the field can’t agree what defines data science. My opinion is that the success of data science is telling a story, and supporting it with data, analysis and visualization, as shown by the popularity of tools like Tableau, d3js, JuPyter notebooks and rmarkdown. However, the nature of telling stories is that sometimes we want to believe the story, and find the data to support it. This belief comes at a risk as the hype around data science makes people prone to believing that results are true, even when they may not be. Mistakes are costly, and will undermine the value of data science.
The Mapping Section at the Vermont Agency of Transportation (VTrans) is working with the VTrans Office of Highway Safety in the development of the MIRE data model to meet federal requirements and support the Safety Analyst application. Much of the data exists, but not in the necessary formats, but there are some significant gaps. Intersection data was one such dataset that was absent at VTrans and required significant effort to evaluate and develop. The presentation will discuss the development of the intersection data, review of the other DOT intersection data models, prototyping the intersection data, and steps toward implementation which includes using the data within Safety Analyst.
Data visualization is an indispensable tool for understanding the nature and extent of contamination at contaminated sites. Such sites, especially large and heavily contaminated areas like superfund sites, have often been studied for long periods of time and have decades’ worth of historical data for contaminant concentrations in soil, water, air, etc. Unfortunately, these data are often contained in myriad reports, maps, and files in various formats, from multiple labs and companies, and with varying degrees of legibility and data completeness. In addition, it is difficult to visualize years’ worth of data (often hundreds of samples) on traditional static maps, especially when the contamination at many sites is a complex 3-dimensional problem involving geology, groundwater flow, multiple contaminants, and multiple sources of contamination. To solve all of these problems, Stone Environmental has developed a systematic way of compiling all historic data into a single comprehensive site database and visualizing that data in 3D models and with ArcGIS online. These tools allow us to visualize highly complex and detailed sites in intuitive and data-rich formats that are easier to use, share, understand, and present than traditional methods.
The World Boundaries team is known for high quality data products but the team was quickly becoming overwhelmed by the amount of manual work. We started off with basic queries (presented last year) and now we’re seeing results of the automation work accomplished with simple tools like Git, Jenkins, and Datagrip with languages like SQL and Python. Today, a user needs to only know 2 pieces of information to kick off a series of queries that can reduce the amount of time reviewing the quality of a product from multiple hours to multiple seconds. As the data portfolio grows, the quality department can tackle a greater number of data products of increased size in a reasonable amount of time.
In 2011, flooding from hurricane Irene damaged numerous roads, bridges and culverts throughout Vermont, isolating six communities from access to any road. To improve resiliency planning for the state’s transportation network and it’s connected communities, the Vermont Agency of Transportation worked with a team led by Milone & MacBroom to model vulnerability, risk, and mitigation strategies for infrastructure. Based on vulnerability assessment and transportation modeling results for three of the most impacted watersheds, Stone designed and developed a web application to illustrate the rich data results for varying flood scenarios. During this talk, UX Developer Roger Branon Rodriguez will demo the application, with a focus on UX Design & Development for data-rich applications.
Creative Code can be an entrée to Real Code, and Real Code is the lifeblood of the data economy. Someone smart once said “Mouse clicks don't scale”, so don’t make your creative creations rely on your clicker finger. I'm not a developer, but I try to write code anyways, and you should too.
This session will give a high level overview of the multi-faceted approach that is necessary to evaluate, monitor, and report water conditions in Lake Champlain. A deep learning model is used to detect algal blooms in photos uploaded by users. This data is then available to other users, searchable by location.
ISciences' open-source Water Security Indicator Model (WSIM) monitors and forecasts global environmental conditions relevant to human security. Each month, the model predicts variables such as soil moisture, runoff, and evapotranspiration at lead times up to 9 months, using data from NOAA's Climate Forecast System. Results are statistically analyzed to compute indices of overall water surplus and deficit that place conditions in a historical context. This presentation will provide an overview of the model and the open-source components upon which it is built.
In 2022, NGS will be replacing the US horizontal and vertical datums (NAD 83 and NAVD 88). This workshop is designed to discuss the need and process for these changes, as well as how that affects positioning professionals and their access to these datums. We will begin with a discussion of the history of the North American Datum of 1983 and the North American Vertical Datum of 1988, their relationships to other reference frames, and the reasons for their ongoing evolution. We will also discuss the relationships of geoid models to various versions of NAD 83, and what can happen should these relationships be ignored. Finally, we will discuss what activities are being undertaken to ensure a smooth transition.
Courtney will be discussing her path to using GIS data in jewelry. She has a background in environmental studies as well as art, but the path was not as obvious as it might seem. She will also be discussing some of the processes she actually uses to create her jewelry in Rhino and then transform that digital model into a physical object.
Is spatial analysis still special? Are geoanalytics more than analysis that uses location as a variable? Is the explosion of data science and its tools changing our GIS industry? If you answered “Yes” to any of those questions, this presentation is for you. As geospatial professionals, we may wonder: Are my geo-skills losing value in our increasingly data science driven world? My answer to this is absolutely not! However, to stay relevant, we need to adjust and adapt. We need to adjust our ways of thinking about how our geospatial perspective fits within the larger context of data science, big data, the Internet of Things (IoT), and AI and machine learning. This presentation will describe a variety of sample geoanalytics casework and tools. The goal is to stimulate your thinking about how data science is changing our geoprofession, and to compare notes on what’s in (or should be in) the toolbox of a next generation geoprofessional.
To effectively support positive youth development, it is essential for young people, their families, and their allies to have the appropriate information on the array of services and resources that are available to them. This presentation will focus on the methods and techniques that went into identifying the pertinent data to collect from resource providers to help reduce access barriers. During this project subject experts conducted a series of focus groups to more fully understand what young people are interested in knowing about a service prior to engaging with the resource. This intelligence was then used to inform the survey questions to youth resource providers and the data aggregation into a meaningful information system to help Vermont 14-22 age group identify and connect with available resources.
While most small companies and organizations can’t support a full blown data science team. Any organization can reap significant benefits from a well focused data science project. I’ll talk about such a project. With over 450 indoor climbing gyms in the US, participation in competitive rock climbing has grown more than 5-fold in the last decade and will be featured in the next summer Olympic Games in Tokyo. I’ll present an ongoing data science project to provide the national governing body of competitive climbing with a system to efficiently rank every amateur climber in the United States, in all age categories, and help to ensure the accuracy and fairness of selections at all levels.
Gerrymandering is the drawing of electoral districts so as to advantage a particular group. The surest way to prevent gerrymandering is probably to place the responsibility of drawing districts into the hands of an independent commission. But that has happened in only a few places as of yet. In the meantime, the courts are left to grapple with what is constitutional; mathematicians, computer scientists and political scientists struggle to quantify gerrymandering; an army labors to compile precinct geography and election results; and journalists strive to convey to the public what it all means. In this talk I'll give a mathematician's perspective on how the various facets of the gerrymandering problem fit together.
Using an early sewer map held at Library of Congress, and digital mapping both in Google Earth and GIS it was possible to show that Burlington was originally crossed by a 1.5 mile ravine. The current drive for urban cultural reconnection to landscape and to food production involves reconsideration of the relationship with land. Burlington Vermont social history has few records of the natural landscape of the city. A review of city and university held information revealed land ownership maps, but no pre urbanization topography. The map, supplemented by news stories and images, allowed verification of the ravine’s existence. The ravine plays a vital role in the land development history of Burlington, and influenced the social life that identifies the city. City street and sewer layout is explained by the course of the ravine. The research for the ravine, uncovered the relevance Burlington has in the creation of modern winter sports, in the early development of new apple varietals, and how the city inspired the creator of American Landscape Architecture, Fredrick Law Olmstead. Ultimately the mapping suggests the possibility of pre-European, Abenaki, settlement.
Technical Communication (TC) is a mostly analytical function that adds substantial value to operations, projects, products, and services. TC yields effective communication that guides technical endeavors toward success. Learn why TC isn’t just technical writing and why TC should be considered essential in the tech sector.
In 2017, Ms. Adams facilitated student exploration into geospatial data related to livability. Her team was interested in quantifying what makes a location a desirable destination for young people. In this session, Ms. Adams describes how technical challenges and missing data gave rise to artistic solutions, and how their exploration culminated in an installation at Champlain College's Emergent Media Center that curated itself through discussion and participation.
From drones to single photon LiDAR to constellations of microsatellites, we will dive into the technologies that are changing the way we can map Vermont from above.
In 2018, Google is the incumbent of maps; it's not even a close race. We'll look at how the search company's obsessive, frequently-behind-the-scenes focus on data led it to lead the industry and become a part of most of our lives. We'll also consider the implications of a data monopoly, and look at who if anyone is capable of competing.
Our Ash is on the line. In order to nip the issue in the bug, we needed a rapid mobile solution for surveying ash trees near the confirmed location. Using a combination of ESRI's ArcGIS Collector and Survey123, within days, we were able to design a field data collection form that worked offline, with CIR imagery, to identify symptomatic ash trees. I'll walk you through our deployment and how we were successful.
Join us to hear about recent interactive and static mapping projects from GreenInfo Network and discuss the current trends and tools in nonprofit mapping.
States and municipalities that are dealing with the sharp increase in drug overdoses, driven by the recent rise in opioid addiction, need geospatial tools to help them address this situation. These maps and apps can help both citizens and government staff. Maps can communicate to citizens the scope of the drug problem and inform them where to drop off unused prescription drugs or obtain treatment for addiction. Using a collection of apps, public health and safety staff can apply GIS to monitoring suspected drug activities and response efforts; tracking turned in prescription drugs and the use of naloxone; and inventorying drug treatment and alternative pain management programs. We will cover some recent successes and examples of using maps to help with the opioid crisis.
The world we live in is increasingly controlled by algorithms fed enormous amounts of data, but the power provided by data driven decisions are often lost when translating complex concepts to stakeholders. In this talk we will explore how storytelling can change people's interpertation of data and interesting, non-traditional representations of information using various tools at the Generator like laser cutters and 3D printers.
In the last decade, a storm of activity in art-science-tech collaboration has demonstrated the powerful value in working across fields. Let’s face it, interdisciplinariness is hip. Emerging data science and GIS tools can be used to stitch together art and science to describe complex environments, while broadening accessibility and inclusion. This talk presents a series of unconventional narratives informed by a life of working in the in-between as a keyboardist and scientist, including tips for thinking creatively about the role of data and algorithms within the work we do.
In this session, you will get an introduction to how you can combine the power of ArcGIS and R using the R-ArcGIS Bridge to solve complex spatial problems.
It is easy to think of data as numbers rather than people and trends as mathematical models instead of emergent human behaviors. Kristin and Scot explore the how to understand the human collaborative element of decision making and how to approach complex problems and innovation in a new way. Join members of EverWonder Labs in a interaction to pique your curiosity and get you thinking about how to look at issues differently.