Posted by Dave Thau, Senior Developer Advocate
Google’s GeoEDU Outreach program is excited to announce the opening of the second round of our Geo Education Awards, aimed at supporting qualifying educational institutions who are creating content and curricula for their mapping, remote sensing, or GIS initiatives.
If you are an educator in these areas, we encourage you to apply for an award. To celebrate the first round of awardees, and give a sense of the kind of work we have supported in the past, here are brief descriptions of some of our previous awards.
Nicholas Clinton, Tsinghua University
Development of online remote sensing course content using Google Earth Engine
Nick is building 10 labs for an introductory remote sensing class. Topics include studying electromagnetic radiation, image processing, time series analysis, and change detection. The labs are being taught currently, and materials will be made available when the course has been completed. From Lab 6:
|Let’s look at some imagery in Earth Engine. Search for the place ‘Mountain View, CA, USA.’ What the heck is all that stuff!? We are looking at this scene because of the diverse mix of things on the Earth surface.|
|Add the Landsat 8 32-day EVI composite. What do you observe? Recall that the more vegetative cover the higher the index. It looks like the “greenest” targets in this scene are golf courses.|
|Let’s say we don’t really care about vegetation (not true, of course!), but we do care about water. Let’s see if the water indices can help us decipher our Mountain View mystery scene.|
Dana Tomlin, University of Pennsylvania
Geospatial Programming: Child’s Play
Dana is creating documentation, lesson plans, sample scripts, and homework assignments for each week in a 13-week, university-level course on geospatial programming. The course uses the Python computer programming language to utilize, customize, and extend the capabilities of three geographic information systems: Google’s Earth Engine, ESRI’s ArcGIS, and the open-source QGIS.
Declan G. De Paor, Old Dominion University
A Modular Approach to Introducing Google Mapping Technologies into Geoscience Curricula Worldwide
Declan’s award supports senior student Chloe Constants who is helping design Google Maps Engine and Google Earth Engine modules for existing geoscience coursework, primarily focused on volcanic and tectonic hazards, and digital mapping. Declan and Chloe will present the modules at faculty development workshops in person and online. They see GME/GEE as a terrific way to offer authentic undergraduate research experiences to non-traditional geoscience students.
Mary Elizabeth Killilea, New York University
Google Geospatial Tools in a Global Classroom: “Where the City Meets the Sea: Studies in Coastal Urban Environments”
Mary and the Global Technology Services team at NYU are developing a land cover change lab using Google Earth Engine. NYU has campuses around the world, so their labs are written to be used globally. In fact, students in four campuses around the globe are currently collecting and sharing data for the lab. Students at their sites analyze their local cities, but do so in a global context.
|One group of students used Android mobile devices to collect land use data in New York’s Battery Park.|
|While others in the same course collected these points in Abu Dhabi. Upon collection, the observations were automatically uploaded, mapped, and shared.|
Scott Nowicki and Chris Edwards, University of Nevada at Las Vegas
Advanced Manipulation and Visualization of Remote Sensing Datasets with Google Earth Engine
Scott and Chris are taking biology, geoscience, and social science students on a field trip to collect geological data, and are generating screencast tutorials to show how these data can be queried, downloaded, calibrated, manipulated and interpreted using free tools including Google Earth Engine. These tutorials may be freely incorporated into any geospatial course, and all the field site data and analyses will be publicly released and published, giving a full description of what features are available to investigate, and how best to interpret both the remote sensing datasets and ground truth activities.
Steven Whitmeyer and Shelley Whitmeyer, James Madison University
Using Google Earth to Model Geologic Change Through Time
Steven and Shelley are building exercises for introductory geoscience courses focusing on coastal change, and glacial landform change. These exercises incorporate targets and goals of the Next Generation Science Standards. They are also developing tools to create new tectonic reconstructions of how continents and tectonic plates have moved since Pangaea breakup. Some of the current animations are available here and here.
We hope this overview of previous award recipients gives you a sense for the range of educational activities our GeoEDU awards are supporting. If you are working on innovative geospatial education projects, we invite you to apply for a GeoEDU award.
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Wild West forts weren’t built to withstand sieges, simply because the Natives had no opportunity to use artillery or even massed assaults (except for very rare situations). The Army had no need to prepare for any sort of large scale battle, and instead needed to construct something that could at least keep the Natives out as well as to secure an area and give a location that soldiers and civilians could retreat to if necessary.
Besides the fort itself and soldiers, Playmobil 5245 Western: Fort Brave set also came with two Native Americans and their horse, plus weapons. The horse is different from that of the United States Cavalry and both American Indians are not identical.
September 14, 2007 – Wild Wild West 3: Indians posted HERE
August 17, 2008 – Dragon Models Limited DML “Windtalkers (2002)” movie 1/6 scale USMC Code Talker Private Ben Yahzee (Adam Beach) 12-inch figure reviewed HERE
August 19, 2008 – G.I. Joe 1/6 scale Navajo Code Talker 12-inch figure (pictures HERE)
- Reynold Xin, co-Founder of Databricks will present Machine Learning and Graph Computation on Spark
- Wes McKinney, Founder & CEO of DataPad – TBA
- Prof. Carlos Guestrin, Founder & CEO of GraphLab will present GraphLab
- Prof. Vahab Mirrokni from Google Google Research New York team – ASYMP: Fault-tolerant Graph Mining via ASYnchronous Message Passing
- Prof. Joe Hellerstein, Founder & CEO of Trifacta – TBA
- Tao Ye, Senior Scientist, Pandora Internet Radio – TBA
- Josh Wills, Director of Data Science at Cloudera – TBA
- Milind Bhandarkar, Chief Scientist at Pivotal – The Zoo Expands: Labrador 💛 Elephant thanks to Hamster
- Dr. Markus Weimer,Microsot Research - REEF: Towards a Big Data stdlib
- Karthik Ramachandran and Erick Tryzelaar, Lab41: Dendrite large scale graph analytics
|Dr. Ari Tuchman: Beyond Sentiment and Buzz: Extracting the Answers that Matter Though Predictive Correlations from Unstructured Chatter|
|Paul Hoffman: Large Scale Machine Learning on Sparse Graphs|
|Dr. Jans Aasman, CEO, Franz Inc. Drag and Drop Graph Query Generator|
|Dr. Zhisong Fu, Mike Personick, and Bryan Thompson: Ultra fast graph mining on GPUs.|
|Tristan Zajonc and Anand Patil: Sense|
|Dr. David Talby: Beyond ML basics: Localized, evolving, hybrid & automated modeling at scale|
|Simon Chan: An Open Source Machine Learning Server for Developers|
|Adam Fuchs, CTO Sqrrl: How To Build Secure, Massively Scalable Graphs with Sqrrl|
Dr. Steven Hillion, Alpine Data Labs:
Fast classification algorithms on Hadoop
|Jacob Nelson: Grappa graph engine|
|Prof. Joshua Bloom, wiso.io: Machine-learning Driven Automated Insight Workflows|
|Dr. Matthias Broecheler, Titan – Scalable Graph Computing in Real-time and Offline|
|Prof. Eric Xing: Petuum – a new distributed machine learning framework|
|Corey Lanum, General Manager of North America, Cambridge Intelligence: How to make useful interactive graph visualizations|
|Dr. Ira Cohen, HP Software: Scaling the data scientist|
|Brendan Madden, Tom Sawyer Software: TBA|
|Dr. Jason Riedy, Georgia Tech: STING: High-Performance Analysis for Streaming Graph Data|
|Dr. Hassan Chafi, Oracle: Graph Analytics Research at Oracle Labs|
|Dr. Achim Rettinger, EPPICS: Cross-lingual Cross-modal Analytics of Dynamic Graphs|
|Corinna Bahr, Continuum.io: Agile Data Exploration & Visualization with Blaze and Bokeh|
|Graphistry||Leo Meyerovich, Graphistry: Scaling Visualization with Design and GPUs|
|Domino Data Labs||Nick Elprin: Domino Data Labs|
|Dr. Fernando Perez, Berkeley: IPython: from interactive computing to computational narratives|
|Dr. Linas Baltrunas and Dr. Dionysos Logothetis:, Telefonica Research:Grafos.ml: Tools for large scale ML and graph analysis|
|Ms. Raquel Pau, Sparsity Technologies: Tweeticer, Social Network Analysis with graphs using Sparksee.|
|SriSatish Ambati, co-founder and CEO: TBA|
|Jonathan Dinu, CTO Zipfian Academy: TBA|
|Demian Bellumio, COO Senzari: MusicGraph|
|Sutanay Choudhury, Pacific Northwest National Lab: M&Ms4Graphs: Multi-scale, Multi-dimensional Graph Analytics Tools for Cyber-Security|
|Michael Zeller, CEO Zementis: Accelerate predictive analytics with massively parallel scoring|
|Sébastien Heymann CEO and Jean Villedieu Co-founder, Linkurious: How can graph visualization help understand graphs faster?|
|Richard Socher, Stanford: etcML project|
|Amit Moran, Crosswise: TBA|
La Giunta comunale con delibera n.136 del 21/11/2013 ha affidato all’avv. Luciano Salomoni, domiciliato presso il Suo Studio Ribolzi Cocco Salomoni – Studio Legale Associato in Milano via Ariosto 30, l’incarico di assistenza legale, per la definizio… Continua a leggere
When you teach your students, do you find that they are engaged or disengaged in your lesson content? Does it depend on who the students are? Does it depend on the subject or skills you are teaching? No matter how boring or complicated the … Continua a leggere
Son passati cento anni da quando i nostri bisnonni sono emigrati in tutte le parti del mondo e pare che nessuno più lo ricordi. Anzi. Oggi che gli emigranti sono altri, si sfodera tutto il repertorio del “miglior” razzismo.
La memoria di quell… Continua a leggere