Ellie Symes | CEO, The Bee Corp.
Data Driven Beekeeping
Abstract: The Bee Corp is a benefit corporation founded in Bloomington, IN that applies data analytics to beekeeping. Our mission is to drive innovation on traditional beekeeping practices through scientific research and technology in order to foster sustainable honeybee populations. Because of advancements in sensor technology, the Internet of Things is permeating traditional industries. Increasingly, beekeepers are adopting technology to discover insights about their hives. The Bee Corp uses the sensor data to derive hive health insights, allowing beekeepers to track the health of their hive in real time. This talk will focus on the current knowledge and future possibilities of precision beekeeping.
The talk will be held in Lindley Hall Rm. 102.
Bio: Born in St. Louis, Missouri, Ellie Symes, CEO, grew up in a number of cities across the Midwest and Canada. Ellie is a part-time graduate student at Indiana University pursuing dual candidacy for a Master of Public Affairs and Master of Science in Environmental Science from the School of Public and Environmental Affairs.
This event will be held in Rm. 102 of Lindley Hall.
Lisa Shaler | Deputy chief, Program Budget Data Management Division, Army G-8 Program Analysis and Evaluation Directorate
Army Data Science Initiatives
Abstract: From humanitarian relief after natural disasters at home and abroad, to planning budgets, designing new vehicles, recruiting soldiers and civilians, planning operations, and analyzing cyber and intelligence events, the U.S. Army uses data science to analyze and evaluate options. The goal is to give Army senior leaders the information needed to make difficult decisions. While the time required for these data science analyses can sometimes be sufficient, it can also demand quick, accurate responses. Using effective data visualization to present data science results to clarify options and tradeoffs is essential. Modern data science tools and cloud infrastructures enable the Army to build collaborative teams, solving complex problems together.
Bio: Lisa Shaler has supported soldiers and the Army with technology for more than 20 years. She led Army Intel with “Big Data” technology efforts including Analytics, Cloud Computing, and Cyber Security. At the Army G-8 Program Analysis & Evaluation Directorate, she focuses on Data Migration to the Cloud, and the Army G-8 Data Science Pilot. She earned master’s degrees from MIT, National Defense University, and Virginia Tech. Her research interests include computational social science and complexity studies.
This talk will be held in Lindley Hall Rm. 102.
Kuansan Wang | Managing Director, MSR Outreach Innovation
Abstract: Cognition is defined as the “process of acquiring knowledge and understanding through thought, experience, and the senses,” and often “encompasses processes such as knowledge, attention, memory, judgment, evaluation, reasoning and computation.” Based on this definition, humans appear destined to be surpassed by machines equipped with massive memory and perfect recall, capable of remaining attentive with perpetual endurance and exercising judgment/reasoning through computations in a much faster and precise fashion. With massive amounts of data and computation powers, the machine has made great strides in exhibiting intelligent behavior. But has it beaten humans in acquiring and utilizing knowledge yet? In this talk, I will describe Microsoft Academic, a research project to create a cognitive agent that can be simultaneously proficient in more than 50,000 fields of study by reading more than a century’s worth of scholarly publications from the web. At the core of the agent is a virtuous cycle based on reinforcement learning where the machine is aided by a knowledge graph to extract salient entities and their relationships from publications that are then fed back to the knowledge graph, thereby enriching its coverage and further improving machine reading capabilities. We will show how the cognitive agent, currently at age two, can be publicly accessed, and how the knowledge accumulated has played a role in our daily activities inside Microsoft Research.
Bio: Kuansan Wang is a principal researcher and managing director of Microsoft Research Outreach where he is responsible for engaging with the global academic community on jointly advancing the state-of-the-art accomplishments in the areas where MSR conducts research. He currently leads a team that explores web-scale machine reading, intelligent inference, deep semantic analytics and user behavior modeling. In addition to contributing to the development of Microsoft Bing and Cortana, the technologies developed at his team can also be seen in Microsoft Academic services, including a search engine at academic.microsoft.com and the Academic Knowledge API available through Microsoft Cognitive Services. Dr. Wang joined MSR in 1998 as a researcher in speech technology group where he conducted research in language modeling and multimodal interactions. He then became a software architect for Microsoft speech product group, responsible for Microsoft Speech Server and Response Point, and represented Microsoft at W3C, ECMA and ISO to help author international standards in speech, language and communication areas. He returned to MSR to work on web search in 2007 and has been a key driving force to evolve web search from a keyword-based to a semantic-based paradigm. Kuansan received his BS from National Taiwan University and MS and PhD as an NSF Fellow from University of Maryland, College Park, all in electrical engineering.
This talk will be held in Lindley Hall, Rm. 102.
Mark Clerkin | Data Scientist
Data Science in Startup Environments: How to Prepare for Success
Abstract: Data science in startup environments is fast-paced, dynamic, and requires a wide-ranging skill set. This lecture aims to create a framework for working in or leading data science teams in small to mid-size companies. I will use examples from my background in high frequency trading and SaaS in order to articulate potential challenges, recommend approaches, and highlight communication best practices. The goal of this discussion is to prime attendees for success in their careers regardless of the size of the organization they work within.
Bio: An experienced trader, engineer, and data scientist, Mark Clerkin has worked in both financial markets and startup environments. He is a data scientist at venture studio High Alpha in Indianapolis where he has returned after a career that took him to Chicago and London and back.
Laura Vetter | Chief Technologist at Kinney Group
Fast Time to Value – Splunk brings Machine Learning to Machine Data
Abstract: Splunk has been quietly developing use cases that offer companies visibility for their Machine Learning Data. Best known for their Security SIEM tool, which is considered a leading product in the security industry, more recently Splunk has introduced products to fit IT Operations Analytics use cases. By weaving machine learning into auto-baselining “normal” from “abnormal” activity throughout the data center, Splunk has been able to provide high-value data science to problems that were previously solved by anecdotal experience or gut instinct. Last year, Splunk launched their Machine Learning Toolkit which allowed Splunkers to leverage machine learning libraries to make reliable analysis and predictions with complex datasets. From linear regression to cluster analysis and outlier detection, Splunk provides the ability to automatically determine the accuracy of the models that are built. Splunk includes a development API where interested data scientists can plug in new ML algorithms and expose them in the toolkit. This talk will give you an overview of Splunk, what’s included in the toolkit, and how Industry is using it. You will also see how customers with no data science experience can deploy the tool to leverage Machine Learning with their data and how to utilize the dev API. In addition we will answer any questions about use cases seen and lessons learned.
Bio: Laura Vetter is the VP of Analytics at Kinney Group, Inc. and she is one of the most influential leaders at the company. After graduating from Indiana University in 1997, Laura built a professional foundation in database and software engineering. Fast-forward to today, Laura is a Splunk Certified Consultant II and holds a CompTIA Security+ certification. She has been a critical driver of Kinney Group’s technical capabilities and has written numerous customer success stories. Her combination of natural intelligence, work ethic, and expertise has earned her tremendous respect with customers, partners, and colleagues alike.
This talk will be held in Lindley Hall Rm. 102.
Eric Ryszkiewicz | Outcomes Analyst, Palo Alto Medical Foundation
Data Science Applications in Healthcare: Improving Access, Performance, and Resource Deployment
Abstract: Large healthcare systems collect a wealth of data related to nearly all contact with patients, yet frequently struggle with the translation into useful knowledge. As organizations shift away from a model of fee-for-service and towards a new paradigm of accountable care, it will be increasingly important that they can a) preserve or improve access for patients, and b) assess performance on scales from the individual physician up to the entire system. Problems involving missing data, forecasts of operations or performance, and the added value of partnering with nearby institutions all present opportunities for the application of novel solutions to some of the most challenging issues in the contemporary healthcare environment. In this talk, Eric will outline current efforts at PAMF to model and forecast access in primary and specialty care, as well as assess the performance of surgeons and hospitalists operating in local hospitals. He will also discuss forecasting performed on behalf of a major solid organ transplant center in attempts to assure regulatory compliance and outperform the competition on standard metrics.
Bio: Eric Ryszkiewicz, MS MPH is an Outcomes Analyst at Palo Alto Medical Foundation (PAMF), and serves as the Predictive Analytics and Data Science lead for PAMF’s Division of Clinical Business Analytics. His academic background has included healthy doses of chemical engineering, epidemiology, and biostatistics, with a strong focus on applied research. Other professional experience over the past 15 years has included roles as varied as cell fermentation process development in the pharmaceutical industry, air quality monitoring for both research and regulatory purposes, and quality management in solid organ transplantation.
This event will be held in Lindley Hall Rm. 102.
Jean-David Ruvini | Research & Development Director
Data Science in e-commerce Domain
Abstract: Trade is believed to have taken place throughout much of recorded human history and had a fundamental impact on the evolution of all societies. With hundreds of millions of buyers and sellers, and hundreds of millions of live listings at any point in time, online marketplaces like eBay provide an amazing playground for data scientists to work with data and conduct experiments at massive scale. However, while we are in the midst of an extraordinary period of computing platform revolution and a renaissance in artificial intelligence, the specific challenges that e-commerce raises in term of data science are not widely understood. In this talk we will give an overview of research being done at eBay to leverage Machine Learning in the e-commerce domain. We will focus in particular on two areas, Machine Translation and Named Entity Recognition, and will show what makes these tasks particularly challenging.
Bio: Jean-David (JD) joined eBay Research Lab in 2007. Prior to this, he worked at Shopping.com Research Lab where he contributed to design and improved Shopping.com classification and attribute extraction technologies. Initially Jean-David spent five years at the Bouygues Research Lab (a French conglomerate with telco, television, construction and water supply subsidiaries) working on machine learning related projects. He obtained his Ph.D. in Computer Science (Intelligent User Interfaces) from University of Montpellier in France in 2000.
This event will be held in Lindley Hall Rm. 102.
Shaun Grannis | Associate Director, Center for Biomedical Informatics, Regenstrief Institute, Inc.
Healthcare Data Analytics in the Age of Big Data: Real World Examples and Opportunities for the Future
Abstract: The pace of healthcare discovery and translational innovation is accelerating due to an explosion of electronic health data. The Indiana Network for Patient Care (INPC) is one of the nation’s longest running and largest health information exchanges (HIEs), which integrates and standardizes disparate clinical data for most Indiana hospitals. Such an unparalleled system is useful for a variety of purposes, including developing new heath data analytics methods and applications, supporting population health, and advancing precision medicine. This presentation will provide an overview of projects supported by the INPC, including specific use cases highlighting health data analytics, population health, and precision medicine.
Bio: Dr. Shaun Grannis, MD MS FAAFP FACMI, is Interim Director of the Regenstrief Center for Biomedical Informatics and Associate Professor of Family Medicine at the Indiana University School of Medicine. Since joining Regenstrief in 2001, his work has focused on developing and testing big data analytic solutions in support of population health and public health informatics. He led one of the nation’s first initiatives to develop, deploy, and evaluate a statewide real-time public health surveillance system in conjunction with the Indiana State Department of Health, which received a national recognition for its effectiveness and sustainability. Dr. Grannis also develops HIE-based machine learning approaches to detecting cases reportable to public health across large regions, and has constructed and evaluated methods for seamlessly delivering just-in-time public health alerts to physicians.
A copy of the slides used in this talk can be found here.
Michael Sutton | Chief Knowledge Officer, Chief Gamification Officer, Funification LLC
EI (not just AI) in Data Sciences
Abstract: One of the major challenges within the data science field is the imbalance of technical expertise, competencies, skills, and knowledge of Data Scientists against professional soft skills. Business Intelligence, Competitive Intelligence, Government Intelligence, Big Data, Data Mining, Artificial Intelligence, etc., all emphasize the cognitive skills of budding data scientists. However, managers, supervisors, team leads, and executives are seeking analysts and programmers in the workplace who understand team dynamics and can develop leadership styles to help overcome the cognitive bias demonstrated in many data lakes. Director-level executives are trying to recruit Data Scientists who can balance Emotional Intelligence (EI) with technical expertise and be open to accept the benefits of coaching and mentoring in long-term professional development. Dr. Sutton will outline a range of pragmatic tools associated with building balanced leaders and team members that are the foundation for applying Design Thinking within Data Science.
- Insight into the value proposition for increased Emotional Intelligence skill sets within the Data Science field
- Potential opportunities for applying Design Thinking in Data Science
- Knowledge nuggets encompassing leadership and teamship behavior within Data Science
Bio: Michael demonstrates his leadership skills in his roles as a Game-Based Learning Innovator, Architect, and Edupreneur. His current applied research and consulting focuses upon architecting and delivering higher education environments using serious games, immersive learning environments, and simulations that leverage sustainable learning experiences and increased learning and performance for:
- Employee/learner engagement, creativity, and innovation
- Design thinking/visual thinking
- Leadership, teamship, followship, and communityship capacity building
- Intrepreneurship/entrepreneurship competencies
- Knowledge mobilization expertise (knowledge acquisition, production, sharing, and diffusion)
This lecture will be held in Student Building Rm. 015.
Philip Beesley | Professor in Architecture at the University of Waterloo, Professor of Digital Design and Architecture & Urbanism at the European Graduate School
Abstract: Philip Beesley of Waterloo Architecture will present recent work by the Living Architecture Systems group that explores a new generation of sentient architectural environments. Working with artists, engineers and scientists, the research collective combines the crafts of lightweight textile structures, dense arrays of distributed computer controls with machine learning, and artificial-life chemistry. New architectural installations within the collaboration feature dense reticulated grottos with breathing, reactive, near-living qualities. Thin layers of hovering filters are tuned for delicate kinetic and chemical responses in the form of expanded physiologies, beckoning and sharing space with viewers.
The presentation will suggest that conception of buildings can move from classical ideas of a static world of closed boundaries toward the expanded physiology and dynamic form of a metabolism. The architecture of historical Humanism encouraged stripped surfaces supporting free human action. The systems that appear within life-giving forests and jungles seem opposite to the rigid, stable enclosures of classically defined building. Instead of valuing resistance and closure, design for thermal exchange could result in new form-languages based on maximum interaction. Architecture could be founded on adaptation and uncertainty where acquiring and shedding heat play in uneven cycles. The kind of diffusive forms seen in reticulated snowflakes and the microscopic manifolds of mitochondria have a common form-language of radical exfoliation. Their increased surface areas can make their reaction-surfaces potent. These kinds of forms offer delicacy, resonance and resilience.
Writ large, these forms speak of involvement with the world. A new city designed to easily handle unstable conditions of shedding heat and cooling and then rapidly warming up and collecting heat again might well look like a hybrid forest where each building is made from dense layers of ivy-like filters and multiple overlapping layers of porous openings. A building system using an expanded range of reticulated screens and canopies is implied, constructed from minutely balanced filtering layers that can amplify and guide convective currents encircling internal spaces.
Bio: Philip Beesley, MRAIC OAA RCA, is a practicing visual artist, architect, and Professor in Architecture at the University of Waterloo and Professor of Digital Design and Architecture & Urbanism at the European Graduate School.
He serves as the Director for the Living Architecture Systems Group, and as Director for Riverside Architectural Press. His Toronto-based practice, Philip Beesley Architect Inc., operates in partnership with the Europe-based practice Pucher Seifert and the Waterloo-based Adaptive Systems Group, and in numerous other collaborations. The studio’s methods incorporate industrial design, digital prototyping, and mechatronics engineering. Beesley frequently collaborates with artists, scientists and engineers. Recent projects include a series of hybrid fabrics developed with Atelier Iris van Herpen, curiosity-based machine learning environments developed with Rob Gorbet and Dana Kulic of the Adaptive Systems Group, and synthetic metabolisms developed with Rachel Armstrong of the University of Newcastle. His most recent collaboration with Iris Van Herpen has translated a shared sensibility for subtle materials, electricity, and chemistry into a collection of highly complex and diverse textile and haute couture collections.
His research focuses on responsive and distributed architectural environments and interactive systems, flexible lightweight structures integrating kinetic functions, microprocessing, sensor and actuator systems, with particular focus on digital fabrication methods and sheet-material derivations. Beesley has authored and edited sixteen books and proceedings, and has appeared on the cover of Artificial Life (MIT), LEONARDO and AD journals. Features include national CBC news, Vogue, WIRED, and a series of TED talks. His work was selected to represent Canada at the 2010 Venice Biennale for Architecture, and has received distinctions including the Prix de Rome, VIDA 11.0, FEIDAD, Azure AZ, and Architizer A+.
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