The Summer Leadership Workshop on Spatiotemporal Innovation
Date and Time
Location
Watching the video on Youtube
Sponsored by the Spatial Data Lab*, this workshop is to promote replicable and expandable spatiotemporal data science with advanced methodology and technology. The workshop will discuss methodology, functions and workflow-based tools for spatiotemporal data analysis as well as case studies for their applications across different fields, including public health, business, social media, remote sensing, and environmental science. There will be a spatiotemporal innovation symposium at the end of the workshop with presentations by workshop participants on their research work. The workshop will offer an excellent opportunity for participants to network, collaborate, and further develop their domain knowledge and leadership skills.
Topics (5 days) :
1. An Introduction to Workflow-Based Tools: KNIME Analytics Platform, KNIME Server and KNIME WebPortal
2. Open Data Access, Integration, Online Data Sharing and Visualization
3. Spatiotemporal Analysis with Geospatial Analytics for KNIME
4. Artificial Intelligence Analysis for Spatiotemporal Data
5. Workflow-based Remote Sensing Analysis
6. Business Intelligence Analysis with Spatiotemporal Data
7. Spatiotemporal Analysis with Social Media Data
8. Spatiotemporal Analysis with Healthcare Data
9. Introduction to Affiliate Labs on Spatiotemporal Innovation
10. Discussion on Future Collaborations
Requirement:
Preference will be given to those applicants who have a background in geographic analysis. Each participant is expected to complete a group project and make a presentation on their group research outcome at the symposium. Those who complete the program and participate in the group project will receive a certificate. Outstanding participants will be invited to join the research teams collaborating with the Spatial Data Lab project.
Application:
To apply, please submit your application, including your CV and an abstract (no more than 300 words) of your research project via this Online Application web page before March 1, 2023. The application will be open until the workshop is filled. Detailed agenda and lodging information will be sent to those accepted applicants later. Participants are responsible for their own travel and lodging expenses. Please contact us at spatialdatalab@lists.fas.harvard.edu if there are any questions.
Registration Fee:
• $2,980 registered/paid before May 1, 2023
• $3,680 registered/paid after (including) May 1, 2023
Payment instructions will be sent to those accepted applicants later.
Location:
The onsite event will be held at 1730 Cambridge Street, Cambridge MA 02138 (map), Cambridge, MA.
*The Spatial Data Lab is a joint project supported by the Center for Geographical Analysis at Harvard University, Future Data Lab, KNIME, and the NSF Spatiotemporal Innovation Center, which is designed to promote repeatable, replicable, and scalable spatiotemporal innovation research and global collaboration in related fields.
Frequently Asked Questions & Answers
Q: Is any prior experience expected or required?
A: A background in geographic analysis and Python programming is preferred but not required.
Q: How big is the workshop?
A: The onsite workshop can host up to 25 participants.
Q: What software will I need for the workshop?
A: The workshop will primarily rely on KNIME, an open-source software which can be downloaded from http://knime.com and installed on personal computers compatible with Windows, Linux or Mac. The instructions and some sample case studies will be sent to accepted participants two weeks before the workshop.
Q: Must I attend the workshop in person or will a remote option be available?
A: While we acknowledge the benefits of in-person instruction, we will be offering an option for remote synchronous attendance over Zoom, as well as recorded sessions for later review.
Q: Is this workshop free?
A: It is free to apply, but if you are admitted, you must pay the registration fee to attend. We don’t offer scholarships and cannot waive the registration fee for this workshop.
Q: How much is the registration fee?
A: It is $2,980 USD before May 1, 2023 and $3,680 USD after May 1, 2023, which are the same for both onsite and online participants. The registration will cover: (1) complimentary access to those recorded workshop presentations and PPTs; (2) data and workflow-based case studies for the workshop; (3) one-year complimentary access to China Geo-Explorer (https://www.chinageoexplorer.com).
Q: How to pay the registration fee?
A: The payment instruction will be sent to accepted applicants once an admission decision is made.
Q: Does this course provide sponsorship for a US visa?
A: If you are admitted to this workshop, you will receive an acceptance letter from Harvard’s Center for Geographic Analysis. There is no other "visa sponsorship" we will provide beyond the acceptance letter.
Q: When will I hear the admission decision once I submit my application?
A: The decision is expected to be made in mid-March 2023.
Q: How to stay connected with my classmates/alums after taking this workshop?
A: Upon completing this workshop, all participants are added to a Spatial Data Lab mailing list and are invited to those internal webinars organized by the Lab. Those outstanding participants will be invited to join the research teams collaborating with the Spatial Data Lab project.
Information on Lodging and Transportation around Harvard Campus
(Last updated: January 2023)
Here is a link to the Harvard campus map: https://map.harvard.edu. You may see the same area on Google Map: https://goo.gl/maps/ngAFE. The place is called Harvard Square in Cambridge. It is easily accessible via taxi or Uber from Boston Logan International Airport (about 20 minutes). You can also check out: https://www.harvardsquare.com for more information.
Hotel pricing changes very quickly around school calendars here. If you zoom to Harvard Square on maps.google.com and search for hotels, it will give you a very good glance at what is available where at what price. In general, hotels on the Red Line (T) are more expensive. The following are a short distance away, but the drawback is that there will be an Uber or Lyft cost.
DoubleTree Suites by Hilton Hotel Boston
https://www.hilton.com/en/hotels/bossbdt-doubletree-suites-boston-cambridge/
Courtyard by Marriott Boston Cambridge
https://www.marriott.com/en-us/hotels/boscy-courtyard-boston-cambridge/overview/
Hyatt Regency Cambridge, Overlooking Boston
https://www.hyatt.com/en-US/hotel/massachusetts/hyatt-regency-boston-cambridge/bosrc
Below are hotels within walking distance to Harvard Square—the first two are about the same price but the last will be more expensive.
Harvard Square Hotel
110 Mt Auburn St Cambridge, MA 02138
(617) 864-5200
https://www.harvardsquarehotel.com/
About a 10-minute walk to the CGA office at 1730 Cambridge St. Cambridge, MA
Sheraton Commander Hotel
16 Garden St Cambridge, MA 02138
(617) 547-4800
https://www.sheratoncommander.com/
About a 10 minute walk to the CGA office
The Charles Hotel
1 Bennett St Cambridge, MA 02138
(617) 864-1200
https://www.charleshotel.com
About a 10-15 minute walk to the CGA office
Other options:
Hotel Veritas
https://www.thehotelveritas.com/
5 - 10 min. walk
A Friendly Inn bed and breakfast
https://www.afinow.com/
1 min. walk
The Irving House
https://irvinghouse.com/
1 min. walk – bed and breakfast
Two stops along the Red Line subway (the T as it’s called here) is Kendall Square, where these options lie:
Boston Marriott Cambridge
https://www.marriott.com/en-us/hotels/boscb-boston-marriott-cambridge/overview/
Residence Inn Boston Cambridge – Marriott
https://www.marriott.com/en-us/hotels/boscm-residence-inn-boston-cambridge/overview/
The Kendall Hotel
https://www.hotelsone.com/cambridge-hotels-us/the-kendall-hotel.html
Also on the Red Line subway, three stops the other direction:
AC Hotel by Marriott Boston Cambridge
https://www.achotelbostoncambridge.com/
You may find more hotel information from the following links:
https://www.campustravel.com/university/harvard/ (official)
https://www.booking.com (more practical)
https://www.airbnb.com
https://boston.craigslist.org/search/gbs/sub
A budget option:
Abercrombie's Farrington Inn
23 Farrington Ave, Boston, MA
(617) 787-1860
https://www.farringtoninn.com/
https://goo.gl/maps/0oEI5
The #66 buses run from Harvard Square to the intersection of Cambridge St & Franklin St/Harvard Ave in about 10 minutes.
To get around in the Boston-Cambridge area without a car, many people take public transportation (the “T” as people call it here). You can plan your routes by the T on this website: https://www.mbta.com/.
If you are driving and need parking, the closest parking garage is the Broadway Garage at 7 Felton St, Cambridge, MA 02138 (https://goo.gl/maps/NYMbz), right behind the CGIS South building. You may request a parking permit here: https://hopps.vpcs.harvard.edu/.
When register, you may enter:
Department Guest
Department: Institute for Quantitative Social Science
Broadway Garage (level 3 and up)