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Entries in conferences (31)

Wednesday
Mar192014

White House Launches new Climate Data Initiative...

We are in the lovely "Indian Treaty" room.And we were there! Kevin and I went to the White House (here is photographic proof) to represent Cal-Adapt.

The President’s Climate Data Initiative was launched March 19th with the tagline: Empowering America’s Communities to Prepare for the Effects of Climate Change. The initiative is a complex partnership of government, industry, academia and local public to get the US ready for climate change. The overall goal of the climate data initiative is "Spark Innovation": release data, articulate challenges, turn data scientists loose. Here is the fact sheet and a blog post from John Podesta and John Holdren.

We saw some very interesting short talks from a range of speakers. Here are some highlights:

Jack Dangermond highlighted the many initiatives that ESRI is pushing to help with climate resilience. Kathyrn Sullivan from NOAA discussed her concept of "Environmental Intelligence", which describes the use of data to create resilience. She says: "NOAA capture 20TB daily, they release 2TB daily. Upon that data stream are built all the climate businesses we have today. What would this industry be like if we release the other 18TB?" Ellen Stofan from NASA talked about new earth observation missions, including satellites for precipitation, soil moisture, CO2, winds, aerosols. She announced another of a series of data driven challenges called "coastal inundation in your community". Rachel Kyte from the World Bank called their multiple initiatives "Open Data for Resilience". She said that climate change may eradicate the mission of the World Bank, because of its disproportionate impact on poorer communities worldwide. Rebecca More from Google gave us a fantastic overview of the Landsat, climate and topography missions that Google Earth Engine is working on. Google is contributing 1PT cloud storage, and 50 million CPU hours of collaboration.

Videos:

All was very inspiring and informative.

Here are some press links about the Initiative:

Thursday
Jan302014

2014 Western Section of the Wildlife Society Meeting wrap-up

I recently attended the 2014 annual meeting of the Western Section of the Wildlife Society in Reno CA. The focus of the conference was on harnessing citizen science toward greater conservation.

I saw some interesting talks in my session (I was clearly the odd-talk-out in a session dominated by animal tracking (I spoke about our SNAMP website evaluation)). For example:

  • Peter Bloom discussed red-tailed hawk movements from banded bird recovery. The birds are banded as juveniles and observed by citizens and scientists. In this way their movements can be mapped: across southern California, across the Pacific flyway, and across the US.
  • Joe Burnett presented on the use of GSM transmitters to track California condor (the largest flying bird in north America) movement patterns. He caught us up on condor recovery and current threats (lead poisoning from foraging on wild game) to condors. He showed some very nice visualizations of wild condor flights between Ventana and the Pinnacles (including some stops for water and dead animal chomping) from the GSM transmitters and Google Earth. 
  • Shannon Rich looked at migration patterns of flammulated owls using light-level geolocators. "What is a flammulated owl”? you say: I will tell you. They are super cute tiny owls, with neat flame-like markings on their face and body. Geolocators are small (~1g) that record ambient light levels during the day, and from timing of sunrise and sunset, you can get latitude and longitude. These are not sending out signals, and you need to recapture the owl to download data. As always, I am stunned by the dedication and time it takes for wildlife biologists to gather their careful data on animal movement.
  • Russ Bryant talked about native honeybee habitat in North Dakota. He talked about the important services that bees give us: 95 agricultural plants benefit from pollination services (estimated at $15b). I did not know that ND is the top honey producer in the US. Colony collapse across the US has been profound. They used INVEST to explore the role of land cover and bee pollination to produce a pollinator habitat index, and a habitat connectivity for areas where bees had been captured. 

In the climate change session, I heard from a range of speakers on practical adaptation strategies, curriculum for climate change education (Whitney Albright), new tools and reports for grassland bird species conservation (Ryan Diguadio), landscape-scale conservation planning for bobcats in the San Diego area (Megan Jennings), and some neat genetics of the SF Bay’s salt marsh harvest mouse (Mark Statham). Also, Curtis Alling talked about local, regional and state climate preparedness planning, and dedicated a slide to cal-adapt.org. Nice!

I also got to catch up briefly with ESPM grads Sarah Sawyer who is now at the Forest Service and Tim Bean, who is thriving at HSU. Alice, he suggested a trip up to Redwood State Park to check out the dark figure of crime in the tall trees. 

Monday
Jan132014

Conference at UCB on Digital Privacy and Surveillance - March 6

Pan-Optics: Perspectives on Digital Privacy and Surveillance

March 6, 10:30 a.m.-4 p.m. 310 Sutardja Dai Hall, Banatao Auditorium

bit.ly/pan-optics2014

Featured Speakers: Rebecca MacKinnon, Senior Research Fellow, New America Foundation; Trevor Paglen, Artist, Social Scientist, and Author

Advances in drone aircraft, networked cameras, and recent disclosures about the NSA’s international and domestic surveillance activities have stimulated public protests, outrage from activists, and new policy discussions among elected leaders. This symposium will highlight emerging perspectives on visual privacy and consider the state of the art from a variety of disciplines and professions, including technology, journalism, filmmaking and the arts.

Though traditionally considered separate domains, visual and digital surveillance practices are being combined as machine vision, facial recognition and other technologies become more sophisticated and interoperable. Institutional surveillance by semi-autonomous drones and remote cameras, citizen video monitoring, and incessant photo-sharing and tagging on social networks enable perpetual documentation. The same tools can be used for both transparency and repression.

This symposium will bring together scholars and practitioners from a range of disciplines to discuss privacy protections, surveillance methods, and modes of resistance in a digital age. The program will feature two keynote addresses and two panel discussions that will explore emerging surveillance technologies and applications across a range of contexts, and then turn to resistant strategies employed by individuals and organizations in response.

Registration required: $20 General Admission,  $10 Faculty or Staff,  $5 Students

Tuesday
Nov262013

GIS Day 2013 Report: Mulford Hall comes alive in a dark and stormy evening

Discovering the World Through GIS

November 20, 2013 -

UC Berkeley, Mulford Hall

GIS Day provides an international forum for users of geographic information systems (GIS) technology to demonstrate real-world applications that are making a difference in our society.

Berkeley's GIS Day 2013 was held at UC Berkeley's Mulford Hall for the eighth year in a row. This year's event was co-hosted by the Geospatial Innovation Facility (GIF) and GIS Education Center (GISEC) with support from the Bay Area Automated Mapping Association (BAAMA) and American Society for Photogrammetry and Remote Sensing NorCal (ASPRS). We had great talks from a number of speakers, including our very own Shufei Lei!

  • Laci Videmsky New California Water Atlas: Building a Digital Public Work: A New California Water Atlas
  • Larry Orman GreenInfo Network Data, Tools and Communication for Public Interest Geospatial
  • Jeanne Jones U.S. Geological Survey Pedestrian Evacuation Analysis for Tsunami Hazards
  • Dennis Klein Boundary Solutions, Inc. Parcel-Level GIS protocol adopted by Mill Valley to guide Sustainable Community Development by posing 3 questions: What’s your Walk, Transit, and Solar
  • Shufei Lei Environmental Science, Policy, and Management, UC Berkeley Measuring learning in adaptive co-management by mapping dialogues using Self-Organizing Map: Sierra Nevada Adaptive Management Project
  • Michelle Koo & Falk Schuetzenmeister Museum of Vertebrate Zoology & Geospatial Innovation Facility, UC Berkeley Place, Space and Time: Rescuing and integrating biological and environmental data in the face of global change
  • Bruce Joffe & Reg Parks GIS Consultants & Santa Rosa Junior College Supporting an Accessible Geodetic Control Network for California

We had over 120 people in Mulford Hall: presenting, listening, learning and networking. Thanks All!

For more information, please see the GIF website. 

Sunday
Aug042013

Workshop wrap up: Google Earth Higher Education Summit 2013

For three days in late July 2013 Kevin Koy, Executive Director of the GIF and Maggi spent time at Google with 50+ other academics and staff to learn about Google Earth's mapping and outreach tools that leverage cloud computing. The meeting was called Google Earth for Higher Education Summit, and it was jam packed with great information and hands-on workshops. Former Kellylabber Karin Tuxen-Bettman was at the helm, with other very helpful staff (including David Thau - who gave the keynote at last year's ASPRS conference). Google Earth Outreach has been targeting non-profits and K-12 education, and are now increasingly working with higher education, hence the summit. We learned about a number of valuable tools for use in classrooms and workshops, a short summary is here.  

Google Mapping Tools - the familiar and the new

  • Google Earth Pro. You all know about this tool, increasing ability to plan, measure and visualize a site, and to make movies and maps and export data.
  • Google Maps Engine Lite. This is a free, lite mapping platform to import, style and embed data. Designed to work with small (100 row) spreadsheets.
  • Google Maps Engine Platform. The scaleable and secure mapping platform for geographic data hosting, data sharing and map making. streamlines the import of GIS data: you can import shapefiles and imagery. http://mapsengine.google.com.
  • Google Earth Engine. Data (40 years of global satellite imagery - Landsat, MODIS, etc.) + methods to analyze (Google's and yours, using python and javascript) + the Cloud make for a fast analytical platform to study a changing earth. http://earthengine.google.org/#intro
  • TimeLapse. A new tool showcasing 29 years of Landsat imagery, allows you to script a tour through a part of the earth to highlight change. Features Landsat 4, 5 7 at 30m, with clouds removed, colors normalized with MODIS. http://earthengine.google.org/
  • Field Mobile Data Collection. GME goes mobile, using Open Data Kit (ODK) - a way to capture structured data and locate it and analyze after home.
  • Google Maps APIs. The way to have more hands-on in map styling and publishing. developers.google.com/maps
  • Street View. They have a car in 32 countries, on 7 continents, and are moving into national parks and protected areas. SV is not just for roads anymore. They use trikes, boats, snowmobiles, trolleys; they go underwater and caves, backpacks.

Here are a couple of my first-cuts:

Tuesday
Jun042013

Conference wrap up: DataEdge 2013

The 2nd DataEdge Conference, organized by UC Berkeley’s I School, has wrapped, and it was a doozy. The GIF was a sponsor, and Kevin Koy from the Geospatial Innovation Facility gave a workshop Understanding the Natural World Through Spatial Data. Here are some of my highlights from what was a solid and fascinating 1.5 days. (All presentations are now available online.)

Michael Manoochehri, from Google, gave the workshop Data Just Right: A Practical Introduction to Data Science Skills. This was a terrific and useful interactive talk discussing/asking: who/what is a data scientist? One early definition he offered was a person with 3 groups of skills: statistics, coding or an engineering approach to solving a problem, and communication. He further refined this definition with a list of practical skills for the modern data scientist:

  • Short-term skills: Have a working knowledge of R; be proficient in python and JavaScript, for analysis and web interaction; understand SQL; know your way around a unix shell; be familiar with distributed data platforms like Hadoop; understand the Data Pipeline: collection, processing, analysis, visualization, communication.
  • Long-term skills: Statistics: understand what k-means clustering is, multiple regression, Baysien inference; and Visualization: both the technical and communication aspects of good viz.
  • Finally: Dive into a real data set; and focus on real use cases.

Many other great points were brought up in the discussion: the data storage conundrum in science was one. We are required to make our public data available: where will we store datasets, how will we share them and pay for access of public scientific data in the future?

Kate Crawford, Principal Researcher, Microsoft Research New England gave the keynote address entitled The Raw and the Cooked: The Mythologies of Big Data. She wove together an extremely thoughtful and informative talk about some of our misconceptions about Big Data: the “myths” of her title. She framed the talk by introducing Claude Levi-Strauss’ influential anthropological work “The Raw and the Cooked” - a study of Amerindian mythology that presents myths as a type of speech through which a language and culture could be discovered and learned. You know you are in for a provocative talk in a Big Data conference when the keynote leads with CLS. She then presented a series of 6 myths about Big Data, illustrated simply with a few slides each. Here is a quick summary of the myths:

  1. Big Data is new: the term was first used in 1997, but the “pre-history” of Big Data originates much earlier, in 1950s climate science for example, or even earlier. What we have is new tools driving new foci.
  2. Big Data is objective: she used the example of post-Sandy tweets, and makes the point that while widespread, these data are a subset of a subset. Muki Haklay makes the same point with his cautionary: “you are mining the outliers” comment (see previous post). She also pointed out that 2013 marks the point in the history of the internet when 51% of web traffic is non-human. Who are you listening to?
  3. Big Data won't discriminate: does BD avoid group level prejudice? We all know this, people not only have different access to the internet, but given that your user experience has been framed by your previous use and interaction with the web, the rich and the poor see different internets.
  4. Big Data makes cities smart: there are numerous terrific examples of smart cities (even many in the recent news) but resource allocation is not even. When smart phones are used for example to map potholes needing repair, repairs are concentrated in areas where cell phone use is higher: the device becomes a proxy for the need.
  5. Big Data is anonymous: Big Data has a Big Privacy problem. We all know this, especially in the health fields. I learned the new term “Health Surrogate Data” which is information about your health that results from your interaction with the Internet. Great stuff for Google Flu Tracker for example, but still worrying. The standard law for protection in the public health field, HIPAA, is similar to “bringing a knife to a gunfight” as she quoted Nicholas Terry.
  6. You can opt out: there are currently no clear ways to opt out. She asks: how much would you pay for privacy? And if the technological means to do so were created and made widespread, we would likely see the development of privacy as a luxury good, further differentiating internet experience based on income.

The panel discussion Digital Afterlife: What Happens to Your Data When You Die? moderated by Jess Hemerly from Google, and including Jed Brubaker from UC Irvine and Stephen Wu, a technology and intellectual property attorney was eye-opening and engaging. Each speaker gave a presentation from their expertise: Stephen Wu gave us a primer on digital identity estate planning and Jed Brubaker shared his research on the spaces left in social media when someone dies. Both talks were utterly fascinating, thought provoking and unique.

And finally, Jeffrey Heer from Stanford University gave a stunning and fun talk entitled Visualization and Interactive Data Analysis showcased his Viz work, and introduced to many of us Data Wrangler, which is awesome.

Great conference!

Wednesday
Nov142012

Interested in the Intergovernmental Panel on Climate Change? New Workshop at Berkeley

Interested in the Intergovernmental Panel on Climate Change?  Come hear Berkeley-based authors of the IPCC's upcoming Fifth Assessment Report discuss their contributions and take your questions!

Date/Time: Wed, Nov 28th 3:30-4:30pm (followed by coffee and cookies until 5pm)
Location: LeConte Bldg, Lecture Room 3.

Panelists Include:

  • Max Auffhammer, Department of Agricultural and Resource Economics
  • Daithi Stone, Lawrence Berkeley National Laboratory
  • Michael Wehner, Lawrence Berkeley National Laboratory
  • Bill Collins, Lawrence Berkeley National Laboratory
  • Jim McMahon, Lawrence Berkeley National Laboratory Kirk Smith, School of Public Health

Please see the attached flyer for more details!

 

Tuesday
Nov132012

GIS Day 2012! November 14th, Mulford Hall

Please join us for GIS Day 2012, November 14, 5:00 pm to 8:15 pm.
UC Berkeley, Mulford Hall
http://gif.berkeley.edu/gisday.html

A list of speakers and topics are available on the event site.

GIS Day is free, but we encourage you to register, so that we know how many people to expect.  We still have room for posters, if you’d like to display a poster (project, map, imagery) just sign up online.

This year's event is co-hosted by the Bay Area Automated Mapping Association (BAAMA) and Geospatial Innovation Facility (GIF), with support from the Northern California Region of the American Society for Photogrammetry and Remote Sensing (ASPRS).

Friday
Sep212012

Welcome to Columbus, OH! GIScience in the heartland

Welcome to Ohio! When I arrived, Columbus was cloudy and warm, with the city in a buzz from a visit from President Obama.

GIScience 2012 was an amazing conference: small (~300 people) and focused, with a terrific program: 2 keynotes each morning, sessions through the day and a panel session of 6 speakers in the evenings. I went to sessions on spatial uncertainty, the geoweb (where Renee Sieber gave a terrific talk on the challenges of participation in webGIS (I learned a ton!)), and big data among others, and Thomas Blaschke and I organized a workshop on obia. The keynotes were especially satisfying: big picture, often provocative talks from gifted speakers. Helen Couclelis talked about her vision of GIScience as a meta science: an "information oriented, context sensitive, spatially referenced, method of representing the real world". I loved the discussion of intentionality and context in her talk, and overall it gave me so much to think about. Noel Cressie showed his group's work modeling uncertainty in a North American regional climate change model: summer is going to be hotter in the North American south, and winter is going to be warmer in the Canadian north, no matter how you slice it. Jack Dongarra gave a riveting talk on the future of supercomputing: he walked us through the building of a supercomputer from an individual core, and made clear the power, software and hardware requirements of these machines. Doug Richardson presented his high level perspective on GIS and health; he and the AAG have been working hard to make geoinformatics more evident in public health research through workshop, grants and tireless lobbying. Also a great treat was my visit with Desheng Liu, former lab member, who is now Associate Professor of Geography and Statistics at Ohio State University. We spent some time walking around the lovely campus and catching up. I also got to visit, very briefly, the Thurber House, home of one of my favs James Thurber, who went to OSU and lived in Columbus. Great stuff! As for our workshop, here are the key items the participants were interested in (in order of popularity): terminology, the future of geobia, integration with GIS, semantics, accuracy, change, standards, learning from the past.

Saturday
Mar242012

ASPRS 2012 Wrap-up

ASPRS 2012, held in Sacramento California, had about 1,100 participants. I am back to being bullish about our organization, as I now recognize that ASPRS is the only place in geospatial sciences where members of government, industry, and academia can meet, discuss, and network in a meaningful way. I saw a number of great talks, met with some energetic and informative industry reps, and got to catch up with old friends. Some highlights: Wednesday's Keynote speaker was David Thau from Google Earth Engine whose talk "Terapixels for Everyone" was designed to showcase the ways in which the public's awareness of imagery, and their ability to interact with geospatial data, are increasing. He calls this phenomena (and GEE plays a big role here): "geo-literacy for all", and discussed new technologies for data/imagery acquisition, processing, and dissemination to a broad public(s) that can include policy makers, land managers, and scientists. USGS's Ken Hudnut was Thursday's Keynote, and he had a sobering message about California earthquakes, and the need (and use) of geospatial intelligence in disaster preparedness.

Berkeley was well represented: Kevin and Brian from the GIF gave a great workshop on open source web, Kevin presented new developments in cal-adapt, Lisa and Iryna presented chapters from their respective dissertations, both relating to wetlands, and our SNAMP lidar session with Sam, Marek, and Feng (with Wenkai and Jacob from UCMerced) was just great!

So, what is in the future for remote sensing/geospatial analysis as told at ASPRS 2012? Here are some highlights:

  • Cloud computing, massive datasets, data/imagery fusion are everywhere, but principles in basic photogrammetry should still comes into play;
  • We saw neat examples of scientific visualization, including smooth rendering across scales, fast transformations, and immersive web;
  • Evolving, scaleable algorithms for regional or global classification and/or change detection; for real-time results rendering with interactive (on-the-fly) algorithm parameter adjustment; and often involving open source, machine learning;
  • Geospatial data and analysis are heavily, but inconsistently, deployed throughout the US for disaster response;
  • Landsat 8 goes up in January (party anyone?) and USGS/NASA are looking for other novel parterships to extend the Landsat lifespan beyond that;
  • Lidar is still big: with new deployable and cheaper sensors like FLASH lidar on the one hand, and increasing point density on the other;
  • Obia, obia, obia! We organized a nice series of obia talks, and saw some great presentations on accuracy, lidar+optical fusion, object movements; but thorny issues about segmentation accuracy and object ontology remain; 
  • Public interaction with imagery and data are critical. The Public can be a broader scientific community, or a an informed and engaged community who can presumably use these types of data to support public policy engagement, disaster preparedness and response.