CCICADA - Command, Control, and Interoperability
Center for Advanced Data Analysis
Recent Center News:
- Homegrown Violent Extremism, CCICADA Distinguished Lecture by Dr. Erroll G. Southers:
On November 1, 2013, CCICADA hosted Dr. Erroll Southers for a "Distinguished Homeland Security Lecture" on Homegrown Violent Extremism. The lecture was based on his recent book by that title and was accompanied by a book signing. The large and enthusiastic audience included many CCICADA researchers and students, as well as the former President of Rutgers and the Chief of the Rutgers.
Dr. Southers is the Associate Director of Research Transition at the Department of Homeland Security National Center for Risk and Economic Analysis of Terrorism Events (CREATE). He was President Barack Obama's first nominee for Transportation Security Administration Assistant Secretary, and he was also California Governor Arnold Schwarzenegger's Deputy Director for Critical Infrastructure of the California Office of Homeland Security. Dr. Southers also previously enjoyed the distinction of FBI Special Agent and SWAT team member, as well as Santa Monica Police Officer.
In the aftermath of the Boston Marathon terrorist attack, the U.S. homeland security effort is at a crossroads. Even as foreign terrorists seek ways to harm U.S. citizens and interests, there is a growing threat from domestic extremists able to execute lethal attacks while eluding much of the U.S. homeland security apparatus. In this talk, Dr. Southers discussed the Boston Marathon attack, offering a wider discussion of the many extremist ideologies that threaten national security while also providing a detailed exploration of the nexus between ideology, radicalization and homegrown terrorism.
Dr. Southers argued that to address the broader challenge of preventing terrorist attacks that originate with citizens and residents (rather than foreign adversaries), we must take on a more nuanced, thoughtful and intelligent perspective of homegrown violent extremism, its origins, and the methods for interrupting those on a pathway to violence. Part of this strategy includes focused efforts to counter the extremist ideologies and messages that propel individuals through the radicalization process.
Dr. Southers argued further that the emerging phenomenon of homegrown violent extremism necessitates a more robust and interdisciplinary understanding of how individuals progress through radicalization and engage in violent activity, revealing the factors and motivations that can lead to domestic acts of terror. The talk also discussed how counterterrorism should evolve in professional practice and offered a detailed description of a new community engagement counterterrorism model designed to address and overcome this growing 21st century threat.
The lecture reflected the continuing collaboration/interaction between the CCICADA and CREATE Centers. Dr. Southers has been a key player in developing that relationship.
- CCICADA Initiates the DMARA Project to aid the
Coast Guard's Resource Allocation Challenges in the Arctic:
The Arctic is a major area of emphasis for the U. S. Coast Guard (USCG) because of the rapidly changing climate and resulting impact on ice conditions and the stress on USCG areas of responsibility. Following on two visits to USCG District 17 (D17) offices in Juneau, Alaska, by CCICADA partners from Rensselaer Polytechnic Institute (RPI), CCICADA has reached agreement with D17 to undertake a project to formulate models designed to analyze and support decisions concerning current, anticipated, and proposed operations of the Coast Guard in the Arctic, specifically in the Bering Strait region. The Dynamic Modeling for Arctic Resource Allocation (DMARA) project has been developed in conjunction with USCG D17 leadership, and USCG D17 Operations and Logistics staff, consistent with D17 Arctic Shield 2013 priorities. Three specific modeling questions related to USCG resource allocation were identified for further investigation under the DMARA Project: (1) deployment and resource allocation of communications technology for vessel tracking and monitoring in the Bering Straits; (2) dynamic models of the USCG supply chain in D17; and (3) logistics planning for oil spill response resources in the Arctic. Phase 1 of the project will focus primarily on question 3 - resource allocation modeling for oil spill response.
Further Details:
Resource allocation in the Arctic is a persistent and complex challenge that is at the center of many USCG missions, including navigational safety, oil spill response, search and rescue, and traffic management. The Arctic is an immense, seasonally-variable waterway with very little development along its shores. Access to the Chukchi and Beaufort Seas in the western Arctic Ocean occurs through the Bering Strait, a focus of growing interest as marine traffic increases in warmer and longer ice-free Arctic seasons. The Arctic is an environmentally harsh and sensitive area with little commercial, maritime or safety infrastructure, and great distances to access resources in the case of a maritime, personnel casualty or oil spill event.
In the Arctic, as elsewhere, logistics--the procurement, maintenance and transportation of materials, facilities and personnelis dependent upon existing infrastructure. Lack of infrastructure makes logistics challenging and heightens the need for comprehensive and thoughtful resource allocation models. In the absence of shore-based infrastructure, long-range planning for refueling and replenishment are required. Distances between ports, coupled with the unpredictability of weather, sea states and environmental conditions, complicate access, deployment and supply of critical resources, as well as removal of waste and, in the case of oil spills, recovered product and waste. Public expectations for four-season response capability in the event of an incident also increase the need for thoughtful and flexible planning and robust resource allocation models.
Currently, USCG policy favors seasonal surges of technology, personnel and equipment, supported by industrial contracts for deployable resources, rather than shore-based, pre-positioned assets. Initially, the DMARA project will assess the tradeoffs and net benefits associated with different asset allocation strategies in the Arctic/Bering Strait for oil spill response, one of the USCG key Arctic missions. Other missionssearch and rescue, navigational safety or traffic management, etc.can be explored in follow-on efforts.
The DMARA project will provide the USCG with robust models that will permit examination of persistent resource allocation challenges, as well as examine strengths and vulnerabilities of existing and potential bilateral agreements for oil spill response. Included in this assessment will be an examination of the net benefits of development of deepwater port resources in various settings (Port Clarence, Kotzebue, Kodiak, etc.), and an examination of the importance of rail and/or road transportation infrastructure linking Nome, Kotzebue and Point Clarence, between 65N and 66N on the Seward Peninsula. The mode ls will also consider tradeoffs and options associated with forward deployment, surge deployment and permanent deployment of needed resources for USCG Arctic oil spill response. Other USCG missions, such as navigational safety, search and rescue, or traffic management, can be investigated in subsequent projects.
The first phase of the DMARA project will develop a model that allows decision-makers to assess the tradeoffs between pre-event resource expenditures and post-event response results, including time to an appropriate response and impacts of an incident. The portion of the model considering post-event response will incorporate constraints on the transport of resources from their initial locations to a spill site or appropriate staging area. The modeling approach will be flexible enough to consider response capabilities for multiple distinct geographical regions (e.g., Bering Strait, North Slope Borough, Northwest Borough, Chukchi Sea, Beaufort Sea, etc.) and can incorporate regional priorities. The model can examine resource allocation and budget expenditures over a long planning horizon (5-10 years) and thus can assess various levels of investment into long-term infrastructure capabilities, permanent pre-positioned resources, and seasonal resource surges.
Following development of the initial project, the goal of a follow-on long-term study is to develop models that provide the USCG with robust plans for other missions in the face of dynamic uncertainties. The proposed models can focus both on near-term (e.g., as drilling in the Arctic scales up) and long-term (e.g., the "steady-state" of Arctic drilling operations) response capabilities of the USCG. The models can consider not only where to locate response equipment, resources, and bases but when to locate these response resources. The timing of this location becomes important in both planning robustly for the uncertainties in the environment and in how Arctic operations will scale up over the near-term.
CCICADA Director Fred S. Roberts Awarded Docteur Honoris Causa at University of Paris-Dauphine
On June 27, 2013, Fred S. Roberts, Director of the Command, Control and Interoperability Center for Advanced Data Analysis (CCICADA), Director Emeritus of and Special Advisor to the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) and Professor of Mathematics, Rutgers, the State University of New Jersey, was awarded the title and insignia of Honorary Doctor or 'Docteur Honoris Causa' at the University of Paris-Dauphine. The Honorary Doctorate Award Ceremony took place at historic Dauphine campus, located at the Porte Dauphine in central Paris. Also honored was Joseph E. Stiglitz, Professor of Economics at Columbia University and winner of the 2001 Nobel Prize in economics. The University of Paris-Dauphine is an international recognized institution that specializes in organization and decision sciences.Professor Fred S. Roberts speaking at the Honorary Doctorate Award Ceremony, June 27, 2013
SOURCE: David Roberts
In order of appearance left to right: University President Laurant Batch, Professor Stiglitz, Professor Roberts and University Professor Alexis Tsoukias (who introduced the honorees)
SOURCE: David Roberts
- Stadium/Arena Security SAFETY Act:
Recognizing the work CCICADA has done in the area of analyzing stadium security processes through its strong relationship with various sports venues and other industry stakeholders, the US Department of Homeland Security, Office of SAFETY Act Implementation (OSAI) has tasked CCICADA to identify best practices and develop a resource guide for SAFETY Act Block Designation for sports venue security/counter-terrorism. The proposed uses of the guide are: a) as guidance for applicants seeking SAFETY Act block designation and b) as a basis for application evaluation. There are four primary project tasks:
Task 1: Identifying Best Practices in Anti-Terrorism Security for Sports Venues
This task involves four primary activities:
a) A thorough and exhaustive literature review to identify existing practices as well as gaps in documentation;
b) In-depth interviews of stadium security experts across ten domain areas;
c) Observational venue visits at a variety of venue and event types, and
d) A workshop that gathers key stadium security and counter-terrorism expertise to help define best practices.
As mentioned in (d) above, the workshop: Best Practices for Stadium Security, was held at the home of the Scarlet Knights football team, High Point Solutions Stadium on February 19-20, 2013. Over 90 attendees from leagues, venues, security companies, law enforcement, academia and federal and state government gathered for the one-and-a-half day event. The workshop was opened by Rutgers Head Football Coach Kyle Flood (2012 Big East co-Coach of the Year) with additional welcomes and remarks by representatives from the US Department of Homeland Security (Bruce Davidson, Director, Office of SAFETY Act Implementation, Paul Benda, Director, Homeland Security Advanced Research Projects Agency (HSARPA), Science & Technology Directorate and Matthew Clark, Director, Office of University Programs) and CCICADA (Fred Roberts, Director). To frame the workshop goals, two expert panel discussions were featured: Panel 1 - Venue Security/ Counterterrorism Challenges and Panel 2 - Components of an Effective Security/Counterterrorism Plan. The workshop also set substantial time for hands-on detailed discussions in breakout sessions.
Task 2: Identifying the Key Best Practices and Developing Metrics for Each
With all the information gathered and documented through the literature review, interviews, venue visits and workshop discussions, the CCICADA team is currently in the process of organizing the data and developing measures to address the primary goals of the award as mentioned above.
Task 3: Developing a Best Practices Resource Guide
The outcomes of Task 2 will inform the preparation of the Best Practices Resource Guide, the main project deliverable. Plans have been made (but not finalized) to bring in recognized subject matter expertise to conduct a third party/legal review to advise on the Guide as drafted.
Task 4: Testing the Best Practices Guide
Critical to the process is the testing of the best practices recommendations for reasonableness and feasibility within the practitioner community. This information will inform the final version of the Guide.
- 2013 CCICADA Research Retreat:
Each year, faculty, students, post-doctoral associates and other researchers from the CCICADA lead and partner institutions gather at the CCICADA sponsored Research Retreat. The goal of the Retreat is to bring together those involved with CCICADA research projects and activities to present their work and network in discussion, development and idea-sharing across the wide array of project areas and research concepts. The 2013 Retreat was held on April 18-20, 2013 on the campus of CCICADA partner, Texas Southern University in beautiful downtown Houston, Texas.
The Retreat, which was opened by CCICADA Director Fred Roberts and Program Committee members Professors Ghemri, TSU and Hovy, CMU included 23 presentations over the two-and-one-half day event by CCICADA students, faculty and staff. The presentations were included within four primary topic areas: 1) Models and Algorithms; 2) Decision Making; 3) Social Media and 4) NLP and Risk Analyses. Two poster sessions provided opportunity to all presenters to interact with the Retreat participants and have detailed discussions on their work.
The Retreat also featured special invited speakers including Dr. David Ebert, Purdue University and Director of VACCINE and John Dyess, Chief Administrative Officer for the Sheriff of Harris County. The group also toured the TSU Museum that features the world famous John Biggers Murals and participated in a site visit to the City of Houston Office of Emergency Management.
By all measures, the 2013 CCICADA Research Retreat was a huge success.
- Project Deliverables: US Coast Guard Boat Allocation Module (BAM) and Fisheries Law Enforcement Projects:
CCICADA has and continues to work in close partnership with the United States Coast Guard (USCG) on a variety of projects involving information-based modeling and simulation and other advanced data analysis tools. Two recently completed projects that represent the strong relationship between CCICADA and the USCG are: The Boat Allocation Module (BAM) and Fisheries Law Enforcement. In both cases, CCICADA provided concrete deliverables to the USCG for implementation in their mission efforts.
Boat Allocation Module (BAM)
The USCG approached CCICADA to jointly build a BAM model or analysis tool that would match the capability and mission hour requirements of each USCG boat station to the available resources and assets. The model would have to be very diverse and robust enough to sufficiently model the operational effectiveness of USCG assets against the array of mission demands. Such a modeling capability should include simulation, math modeling, optimization techniques and visualization. The overall goal of the development of the BAM model is to inform senior USCG leaders' decisions regarding asset capabilities, acquisitions, and allocations; unit locations; policies and concepts of operations; and mission tradeoffs.
In brief, the BAM project aimed to create a mathematical model that can produce "good" assignments of boats, or "resources," across the USCG boat stations so that station mission hour requirements, or "demands," are met (or almost met). These assignments are made under many limiting constraints based on practitioner business rules including budgets, mission-boat type capabilities, minimum boat assignments, etc. In addition, it is valuable to be able to view model outcomes from multiple objectives. The project formalized two objectives: a) minimize unmet mission hours efficiently meet the required mission hours and station requirements while staying within a given budget and b) minimize the budget - satisfy all of the station and mission requirements, while minimizing the total budget amount. Emphasis was placed on the second objective.
The project had several defined deliverables. These include:- Programming code including input and output templates.
- A written report.
- A user's guide.
- VV&A documentation.
The project deliverables were formally presented to the USCG on January 16, 2013 in hard copy and electronic formats.
CCICADA and the USCG continue to work on this project in a second phase under the name BAM2 where boat sharing among stations is considered. The resource allocation concept has also been expanded to USCG aviation assets.
Fisheries Law Enforcement
The First CG District had developed a targeted, risk based approach to fisheries law enforcement using its collected data. The approach calculated a score called OPTIDE based on certain features of a vessel and proposed the strategy of boarding a vessel if the OPTIDE score exceeds a certain threshold. The overall goal of the Fisheries Law Enforcement project, in partnership with CCICADA, was to increase the efficiency of the USCG assets in visiting commercial fishing vessels, i.e., the percentage of boardings that lead to a violation, by identifying a model that would determine which vessels posed a higher risk in the at -sea environment while simultaneously allowing the USCG D1 to meet Preventive Search and Rescue and Law Enforcement goals. To achieve this end the project team analyzed eleven years of available data on CG activities and violations incurred by commercial fishing vessels using several different data analysis methods. Five analysis strategies were considered and developed that are believed to appropriately target USCG fisheries efforts. These are described below:
Strategy 1 - Empirical Probabilities
Extensive data tables were developed to illustrate the connection between different characteristics of a boarded vessel, such as vessel type or month of boarding, and the probability that a violation was found during a boarding of a vessel of that class. These tables provide empirical probabilities for each class as well as the 95% confidence bounds for the estimator. Additionally, graphical plots were created to illustrate time dependent patterns by month, season and year. These plots indicate the percentage of boardings that resulted in either a fisheries or safety type of violation.
Strategy 2 - Machine Learning
A machine learning approach was employed to improve the efficiency of boarding decisions using risk scores by learning from past activity data to create a more fine-grained and data-driven prediction and ranking model. Using some of the features included in OPTIDE and some new ones, many different models created by the machine learner created by the project, entitled RIPTIDE, were evaluated. The best model found outperformed OPTIDE by up to 75% on a ranking experiment, with an improvement of 31% for average parameters. A software package implementing RIPTIDE was a project deliverable.
Strategy 3 - Logistic Regression
A logistic regression model was utilized to evaluate the feature weights that contribute to a risk score. The output of this model provided an adjusted weight value for each feature in the risk matrix, without changing the features. A new tool, called DE-OPTIDE, was delivered to USCG D1.
Strategy 4 - Simulation
A simulation was developed to examine the tradeoff between USCG objectives of boarding a vessel most likely to be in violation of LMR regulations and boarding all vessels at least annually. The simulation model does not indicate what the best boarding strategy is. It is designed to offer a prediction of various outcomes under different scoring rubrics. The decision strategy is left to the expert user to choose which outcome, and hence what boarding strategy, is most desirable.
Strategy 5 - Mathematical Modeling
Several mathematical models were formalized to capture alternative goals of USCG boardings, such as violations found per hour or searching for vessels that might have a higher likelihood of having a violation.
The project led to several deliverables provided to the USCG D1 during a visit in January 2013. These included:- The programming code and software.
- A written report.
- User's guide.
Discussions are currently underway to continue/expand this project.
- 2013 Bring Your Children to Work Day.
The children of faculty, staff and students from CCICADA, its parent Center, DIMACS and the Rutgers Football coaching staff participated in the annual Bring Your Children to Work Day program at the university on April 25, 2013. The specific departments included Mathematics, Statistics, Computer Science, RUTCOR & RU Football; a total of 28 children ranging from ages 6 to 13 participated in this year's program.
After a 'meet and greet' session, a presentation on how fingerprints are different and how they are used to solve crimes was given. The group then toured the studios and control room of RU-tv, the on campus television production unit; the kids met and got to ask questions of on-air personalities (RU students). After lunch at the student dining hall, the participants were given a behind the scenes look at the dining hall kitchen and operations.
The afternoon program included a visit to the Rutgers observatory where view of the sun and solar activity were given. Then, the highlight of the day was a demonstration of robotics by the Computer Science Department. The day would not be complete, however, without a ride on the campus bus system.
Plans are already in the works for next year's program.
- CCICADA Welcomes Four New Partner Institutions:
The City College of New York; Regal Decision Systems; Telcordia Technologies; and University of Medicine and Dentistry of New Jersey (UMDNJ) have been added as CCICADA partners, bringing the total number of CCICADA partners to 17. - Flood Mitigation on the Raritan River: A FEMA Region II Project at CCICADA and the NTSCOE.
An overwhelming majority of the emergency response efforts addressed by the Federal Emergency Management Agency involve flood related issues. Therefore, understanding flood risk and the possible risk mitigation strategies that can be implemented are of great importance to FEMA in meeting its mission responsibilities. In seeking information and assistance in this regard, FEMA has awarded $158,000 to two DHS University Centers of Excellence (COEs), the Command, Control and Interoperability Center for Advanced Data Analysis (CCICADA) and the National Transportation Security COE (NTSCOE) for a project on Flood Mitigation on the Raritan River, the river running by Rutgers University. The project also has additional involvement from a third COE, the Center for Risk and Economic Analyses of Terrorism Events (CREATE). The project is based at the Edward J. Bloustein School of Planning and Public Policy at Rutgers.
For complete article see here - CCICADA Gets Grant from NJ Dept. of Health and Senior Services to Port
its Health Emergency Situational Awareness System Hippocrates to Smart
Phones.
New Jersey's response to the anthrax scare of 2001 developed into Hippocrates, a web-based situational awareness tool shared by the state's public health community and developed by the NJ Department of Health and Senior Services (NJ DHSS). Although Hippocrates includes features such as automated e-mail messaging,
GIS is the heart of it. Hippocrates fuses fixed geographic data elements with dynamic data that brings maps to life. Health-specific layers include the locations of long-term care facilities and a module for mapping chemical facilities. Users can also see real-time displays of weather and traffic and the movements of ambulances via Global Positioning System devices mounted on the vehicles. Because Hippocrates is web-based it is easy to connect all components of the state's health system and its partners in the state emergency operations center and at the federal level.
CCICADA has received a contract for $250K from NJ DHSS to develop Smart Phone Applications to connect to their Hippocrates system. The specific project is to develop a smart phone interface to the Incident Command function of their on-line Hippocrates system. In particular, CCICADA will produce iOS and Android based applications that will let operators in the field create and update reports with Hippocrates in a secure manner, making Hippocrates more broadly applicable. Testing of these applications will be carried out by EMS personnel associated with the Robert Wood Johnson University hospital under a subcontract from CCICADA. - "Hat Chase" on the Rutgers Campus Tests Use of Social Media for Alerts and Warnings.
It was the middle of spring, there were flowers all round, and you witnessed an array of unique and unusual hats throughout the day. An Easter parade perhaps? A midieval festival? A royal wedding? If it was May 2 or 3 on the Rutgers University campus, it was the Hat Chase, an unusual student competition staged to inform CCICADA researchers about the potential utility of social media as a means for detecting and disseminating information about urgent events on campuses.
For complete article see here - REU Students Arrive at CCICADA
Fifty undergraduates from around the US (and the Czech Republic) descended upon CCICADA's home at the DIMACS Center at Rutgers University on May 31. Many will work at CCICADA's Research Experiences for Undergraduates (REU) program, working on homeland security research one on one with a mentor, on such problems as detection of anomalies in communication networks, container inspection at ports, game-theoretic aspects of homeland security, and entity resolution in law enforcement applications. REU - CCICADA Sponsors Workshop on Risk Averse Algorithmic Decision Making
Properly assessing riskiness of available options is central to homeland security decision making under uncertainty. Measures of risk are often important in the context of solving dynamic optimization problems. A CCICADA workshop held May 9-11, 2011 concentrated on recent work developing alternative measures and their properties, especially in the context of dynamic optimization. Since a risk measure has to be efficiently computed to be useful, there is a need to develop efficient algorithms that address dynamic risk measures in both the objective function and the constraints. This calls for new methods of algorithmic decision theory. It also calls for new methods for modeling constraints in a dynamic setting in a practically useful manner and for ways to understand the interplay among risk measures, problem formulation, and computational tractability. These were among the themes of this highly successful workshop. Workshop on Risk Averse Algorithmic Decision Making - CCICADA DHS Fellow Emilie Hogan
Finishes Her PhD and Heads off to PNNL
Emilie Hogan was the recipient of the first DHS Career Development Fellowship granted by our predecessor DHS center, the Center for Dynamic Data Analysis (DyDAn). Hogan continued her fellowship under the auspices of CCICADA, successfully defended her PhD dissertation entitled "Experimental Mathematics Applied to the Study of Non-linear Recurrences" on April 7, 2011, and received her PhD on May 15, 2011. In August 2011, Hogan will join the Computational Mathematics group within the Fundamental and Computational Sciences Directorate at Pacific Northwest National Laboratory (PNNL) as a Post Doctorate Research Assistant. As part of Hogan's fellowship, DyDAn introduced her to Dr. Cliff Joslyn, a Chief Scientist at Pacific Northwest National Laboratory who served as mentor for her required summer internship and who will continue to mentor her as she begins her employment as a postdoctoral researcher at PNNL later this year.
For complete article see here - CCICADA Centerwide Spring Retreat a Great Success
The third CCICADA centerwide retreat brought together 40 graduate students and researchers from the many CCICADA partner institutions to listen to presentations, view posters, and exchange ideas about collaborations in research. The retreat, held at CCICADA partner Morgan State University April 1-2, 2011, featured a dinner talk by Mike Roosa,
CIO of the Maryland State Police, that kept the audience asking questions for an extra hour until the banquet room
at our hotel closed.
Some of the CCICADA students/faculty at Morgan
State Retreat, April 2, 2011.
CCICADA's Nina Fefferman lecturing at Morgan
State Retreat, April 2, 2011. - CCICADA Researchers at ISI Apply Social Media Methods to Problems of Human Trafficking (Slavery and Child Prostitution).
CCICADA Researcher Eduard Hovy and colleagues at ISI/USC have been investigating the use of Twitter messages ("tweets": short 140-character messages). Tweets are produced by people around the world all the time, and can be viewed as informal, distributed "sensor readings". Particularly in crisis situations, where disenfranchised people might not think to contact the authorities, tweets can serve as a valuable additional source of very local and up-to-date information. Hovy and colleagues have developed a variety of techniques to detect when events of interest occur around the world (for their experiments they have selected 50 event types, including earthquakes, fires, announcements of movie star events, political events of various kinds, etc.). They have investigated methods of grouping event tweets by time periods and observing the evolution of an event through its typical stages. Since their software can be tuned to recognize any kind of event (as long as enough people tweet about it), they anticipate making this available for a wide variety of uses. The overall focus of this task is the integration of data from disparate sources. Hovy has begun to work with the FBI, Long Beach, CA Police Department, and DHS agents to apply these methods to information about human trafficking (slavery and child prostitution). - Data Science Summer Institute Welcomes Students to CCICADA
Partner UIUC.
The Data Sciences Summer Institute (DSSI) is a 6-week long program in Data Science areas held at CCICADA partner UIUC. The 2011 DSSI welcomed students from around the country on May 22, 2011. This summer program consists of an intensive class in the mathematical foundations of Data Sciences, tutorials on advanced Data Science topics, expert speakers, and collaborative research projects. 2011 Data Sciences Summer Institute