Translating Data Science Co-Chairs Paul Savage and Antonio Biancardi at Innovation in research 2018, hosted by purchase college on june 12

Translating Data Science Co-Chairs Paul Savage and Antonio Biancardi at Innovation in research 2018, hosted by purchase college on june 12

Roundtable: Translating Data Science

The dynamic environment that brings together data collection, harmonization, sharing, and analysis is opening new doors and unearthing new challenges. This thought leader roundtable meets throughout the year to share experiences and knowledge, looking for gaps that can be addressed through collaboration.

Want to get involved?
Send a note to: info@westchesterbiotechproject.org

Tuesday, April 23, 12-1:30 pm EDT Online
Virtual Roundtable: Translating Data Science, Data Ownership and Security

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As we continue forward in the age of digital information, the risks to personal privacy and security will only continue to increase. With new technologies providing ever-increasing opportunities for the misuse and release of information, ensuring proper protocols for the anonymization and thoughtful handling of data is paramount. If we are to innovate we must take take great care to protect the individual along the way.

Rebecca Herold, CEO, The Privacy Professor
Angela Radcliffe, R&D Practice Lead, Life Science, Capgemini Invent

Discussant:
Yacine Abdous, Vice President of Data Services, Cruz Street


Co-Chairs:
Paul Savage, Healthcare MBA, Hagan School of Business, Iona College
Antonio Biancardi, CEO, Centrific Technology Partners

Steering Committee:
Teresita Abay-Krueger, Owner/President, Tibi A Kogitate Consulting;
IBM Scientist/Engineer, Retired
Rene Baston, Executive Director, Northeast Big Data Innovation
Hareesh Chandrupatla, Chief Data Scientist, Anjin Analytics
Jesse Cruz, President and Founder, Cruz Street Media
Karine Kleinhaus, MD, MPH, Divisional Vice President, North America, Pluristem Therapeutics
Scott Lett, Ph.D., Consulting Data Detective, Holistic Mathematics
Angela Radcliffe, Principal Consultant, How Might(y) We Ventures
Carla Romney, D.Sc., Associate Dean for STEM & Pre-Health Education, Fordham University
Wade Trappe, Ph.D., Associate Director, WINLAB, Rutgers University
Marjorie Wilkie, Ph.D., Owner, Marjorie Wilke Consulting and Genetic Genealogy

About our Chairs:

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Paul Savage, Healthcare MBA, Hagan School of Business, Iona College

Paul Savage has business and Competitive Intelligence expertise specifically focused on the needs of the Health Care Industry and the State & Federal regulatory environment. His focus is on strategic planning, operations improvement, and quality improvement goals of Hospital executives and governance leaders. Mr. Savage has over forty years of diverse experience and an engineering perspective necessary to make sense of the changing competitive environment and the expanding needs of Health Analytics.

His goals are to make use of the rich data resource available to improve the competitive position of client organizations while enhancing quality, product mix and operations within and among facilities and integration with provider organizations and entities.

Antonio Biancardi, Chief Operating Officer, DataForm Software

As a technology and operations leader, Antonio has a track record of accelerating business outcomes for international enterprises and Fortune 500 companies. His achievements include the turn-around of under-performing organizations to: restore profitability, increase efficiency, and develop leading-edge software applications – from concept through release.

Antonio led the team that developed DataForm Software's flagship product, Planet Life Cycle – a robust work management application that merges strategic and financial planning with execution. As a direct result, customers that are global leaders, such as Allergan Pharmaceutical, have leveraged the solution to enhance their competitiveness. Antonio is consistently striving to enable customers to achieve operational excellence. In his words, “When our customers win, we win."

Data Science Resources (please send us your favorites as well):

The Seductive Diversion of ‘Solving’ Bias in Artificial Intelligence
HealthData.gov - U.S. Department of Health & Human Services
Big Data: 33 Brilliant And Free Data Sources Anyone Can Use
Registry of Open Data on Amazon Web Services
18 Places to Find Data Sets for Data Science Projects


Past Sessions

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Virtual Roundtable: Translating Data Science,
Bias in Data Sets and Analytics
February 20 • Watch for Recording and PDF

Interesting Resources:
IBM on Fairness
Columbia University Reading List

Ensuring the proper curation and integrity of data from the earliest stages of collection is absolutely essential. For the quality of downstream results to be trusted, bias must be minimized and accounted for through thoughtful quality control methodologies. As well, thoughtful considerations need to be made as to what types of data should be used in an analytics process, as to not create preemptive bias for a certain result. Join us as we explore how to best manage these critical concerns.

Speakers:
Hareesh Chandrupatla, Chief Data Scientist, Anjin Analytics
Scott Lett, Ph.D., Consulting Data Detective, Holistic Mathematics
Yacine Abdous, VP of Data Services, Cruz Street
Jim Duarte, Data Scientist/Consultant Advisor, Cruz Street


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Virtual Roundtable: Translating Data Science,
Addressing
Interoperability
December 5, 2018 • RecordingPDF

Discussants:
Hareesh Chandrupatla, Chief Data Scientist, Anjin Analytics
Angela Radcliffe, Principal Consultant, How Might(y) We Ventures
Kyle Gallatin, Data Scientist, Pfizer
Jabe Wilson, Consulting Director, Text and Data Analytics,
Reed ElSevier

Often, incompatibility between data sets leads to challenges in the analysis and useful interpretation of information. Add in the complexity of HIPAA, and it’s an all-hands-on-deck moment for data scientists managing ever growing amounts of data.

To address data interoperability and improved analytics, we bring together experts and thought leaders from industry, academia, and government for cross-silo collaboration.

Want to get involved?
Send a note to: info@westchesterbiotechproject.org


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Virtual Roundtable: Translating Data Science
October 4, 2018

The dynamic environment that brings together data collection, harmonization, sharing, and analysis is opening new doors and unearthing new challenges. This thought leader roundtable meets throughout the year to share experiences and knowledge, looking for gaps that can be addressed through collaboration.

Emerging Opportunities:

  • New resources, such as the statewide All Claims Database

  • Existing collaborations across academic, government, and industry groups

  • Challenges for international partnerships

  • Regulatory frameworks across agencies