NODES 2025 Agenda

NODES 25

Nodes 2025 Agenda

Asia Pacific | Europe | Americas

Asia Pacific

Sessions by Track in Your Timezone

02:00 am - 02:20 am November 6

Welcome to NODES 2025

By Stephen Chin Vice President of Developer Relations, Neo4j

02:20 am - 03:00 am November 6

Keynote

By To be announced

03:00 am - 03:30 am November 6

Neo4j Product Vision and Roadmap

By Sudhir Hasbe President, Technology & Chief Product Officer, Neo4j

09:00 am - 09:30 am November 6

Live Q&A with Emil Eifrém and Andreas Kollegger

By Emil Eifrèm Neo4j’s Co-Founder and CEO, Andreas Kollegger GenAI Lead for Developer Relations

03:30 am - 04:00 am November 6

GraphRAG for Law: Building Legal Reasoning Agents with Neo4j and LLMs

By Aleksandr Khazov CEO and CTO, LEXRAG

04:00 am - 04:30 am November 6

Discharge Summaries with GraphRAG: Context-Aware Generation Using Clinical Knowledge Graphs

By Ashwin Murugappa Medical Student, Northern Adelaide Local Health Network

04:30 am - 05:00 am November 6

Integrating Neo4j with Google Gemini: Architectural Patterns for AI Agents

By Jitendra Gupta Manager of Cloud Engineering, KPMG Global Services

05:15 am - 05:30 am November 6

Leveraging LLMs for Medicine-Related Questions

By Nyoman Richardo Information Systems Student, Institut Teknologi Sepuluh Nopember, Muhammad Hudzaifah Abdurrasyid ITS Surabaya

05:30 am - 06:00 am November 6

Agentic AI for Enterprise Knowledge Graph Management

By Dattaraj Rao Chief Data Scientist at Persistent, Sadashiv Borkar Senior Data Scientist, Persistent

06:00 am - 06:30 am November 6

The GraphRAG System That Asks Back: Intelligent Probing with Better Contextual Answers

By Rajarshee Dhar Technical Leader, Cisco Systems, Vivek Singh Senior Technical Leader, Cisco Systems

06:30 am - 07:00 am November 6

GraphReader Agentic RAG: Rethinking Long-Context Retrieval Systems

By Jayita Bhattacharyya Data Scientist, Deloitte, Soumya Ranjan Das Data Scientist, Deloitte

07:15 am - 07:30 am November 6

Talk to Your Graph: A Practical Guide to Building a Dual-LLM Q&A System for a Fashion Graph

By Vaskya Nabila Undergraduate Student, Sepuluh Nopember Institute of Technology, Celine Auriel Undergraduate Student, Sepuluh Nopember Institute of Technology

07:30 am - 08:00 am November 6

Smarter Industrial Fault Diagnosis with Knowledge Graphs and Large Language Models

By Wan Razaq Master's Student, University of Twente

08:00 am - 08:30 am November 6

KG Construction Using LLMs

By Yassir Lairgi AI R&D Engineer, Auvalie Innovation

08:30 am - 09:00 am November 6

Tracing the LLM Behaviour: Debugging and Evolving Agent Workflows with Neo4j

By Rangesh Sripathi Principal Engineer, Verizon, Aayushi Sinha Senior Engineer, Verizon (India), Sridharan Sundaram Data Science Engineer, Verizon (India)

03:30 am - 04:00 am November 6

Rethinking Line of Business Applications: Graphs & Cypher as an Alternative to RDBMS & SQL

By Marcos Pinedo Passionate about Graphs

04:00 am - 04:30 am November 6

Harmonizing AI and Graphs: Building Intelligent Music Applications with Neo4j and Spring AI

By Luanne Misquitta CTO, cMatter

04:30 am - 04:45 am November 6

Human-Centered Contact Tracing Apps

By Irwan Kautsar Associate Professor, Informatics Department, Faculty of Science and Technology, Universitas Muhammadiyah Sidoarjo, Arik Setyawan Software Engineer, PT. Lestari Mulai Sentosa

04:45 am - 05:00 am November 6

LLM Query Benchmarks: Cypher vs. SQL with “Spotify Indonesian Artist” dataset

By Anas Ghifari Undergraduate student, Sepuluh Nopember Institute of Technology, Luthfan Aryananda Undergraduate student, Institut Teknologi Sepuluh Nopember

05:15 am - 05:30 am November 6

GraphIQ: Intelligent Social Influencer Ranking with Neo4j and Diverse Topical Contexts

By Divyani Mittal Vice President, JP Morgan Chase & Co

05:30 am - 06:00 am November 6

Structuring the Video Internet: How Vpin Uses Neo4j to Turn Watching into Learning

By Chris Wei Founder, Osparks AMG

06:00 am - 06:30 am November 6

RushDB in Action: Building AI-Native Apps with Self-Aware Graphs

By Artemiy Vereshchinskiy Founder, RushDB

06:30 am - 07:00 am November 6

Building Modular AI Agents with LangGraph, MCP, and Neo4j

By Shubham Shardul Data & AI Senior Analyst (Capability), Accenture

07:15 am - 07:30 am November 6

Taming the Evolution of Cypher: What Cypher Versions Mean for You

By Gem Lamont Cypher Engineer, Neo4j

07:30 am - 08:00 am November 6

Chagu: Graph-Powered LLM Shielding and Anomaly Detection for Secure AI Pipelines

By Talex Maxim ML Engineer and Data Scientist

08:00 am - 08:15 am November 6

Automating Disaster Recovery with Aura API

By Philip Mortiboy Senior Engineering Lead, Altrata

08:15 am - 08:30 am November 6

Knowledge graphs for Locations in the Humanitarian and Development Sector

By Himanshu Ardawatia Masterdata Management Lead, Norwegian Refugee Council

08:30 am - 09:00 am November 6

One Configuration, Many Imports

By Florent Biville Developer, Neo4j, Emre Hizal Software Engineer, Neo4j, Erik Nord Software Engineer, Neo4j

03:30 am - 04:00 am November 6

Knowledge Combined Common Data Model: A Graph-Based Integration of Reactome and OMOP CDM

By Sungjae Jung Senior Manager, Encore Inc.

04:00 am - 04:30 am November 6

Stay or Go? Predicting Customer Churn through Graph Relationships

By Aayushi Sinha Senior Engineer, Verizon (India), Rangesh Sripathi Principal Engineer, Verizon, Chandrasekhar Rangu Principal Architect -Data Science , Verizon, Sridharan Sundaram Data Science Engineer, Verizon (India)

04:30 am - 05:00 am November 6

Detecting Fraud Rings with GraphML: Real-Time Entity Scoring Using Neo4j and GNNs

By Akash Chandra Founder and CEO, InsightAI

05:15 am - 05:30 am November 6

Unlocking Real-Time News Recommendations: The Power of Graph Relationships in Neo4j

By Himanshu Aggarwal Machine Learning Engineer, Glance

05:30 am - 06:00 am November 6

Mapping Entities and Assessing Risk in Graph‑Backed Storage Protocols

By Antrixsh Gupta Senior Manager Data, Genzeon

06:00 am - 06:30 am November 6

CallFlowGraph: Journey-Aware Graph Agents for Support Analytics

By Shrish Tiwari Software Engineer, Tiger Analytics, Shubham Saxena Senior Software Engineer, Tiger Analytics

06:30 am - 07:00 am November 6

MetaKG: A Discovery Engine for Data Engineers

By Senthil Chidambaram Principal Data Architect, Tiger Analytics, Abhishek Mishra Data Engineer

07:15 am - 07:30 am November 6

A Data Management Layer for Neo4j

By Pavan Kumar Narendra Founder, Suketa Technology Solutions LLP

07:30 am - 08:00 am November 6

Transparent Multi-Agent AI with Neo4j

By Morgan Senechal Principal Consultant @Neo4j

08:00 am - 08:15 am November 6

Turning Reviews into Real Insights: Emotion-Aware Sentiment Analysis with GraphRAG and Neo4j

By Lijimol George Senior Data Scientist, Tata Consutancy Services

08:15 am - 08:30 am November 6

Labor Market Landscape Modeling with Knowledge Graphs

By Lois JI Data Scientist, GovTech, Merson Cheong Data Scientist, GovTech Singapore

08:30 am - 09:00 am November 6

Combine GDS and Agentic AI for Automatic Report Generation

By Alessandro Negro Chief Scientist, GraphAware

03:30 am - 04:00 am November 6

From Documents to Dynamic Graphs: Ontology-Driven Clinical Graph Construction with Neo4j and UMLS

By Jarrod Marks Chief Medical Information Officer, Northern Adelaide Local Health Network.

04:00 am - 04:30 am November 6

Mapping the Invisible: Graph-Powered Archaeology with Neo4j, LiDAR, and LLMs

By Divakar Kumar Technical Architect, FlyersSoft

04:30 am - 05:00 am November 6

Traversing from Zero to Production with Graphs

By Abhishek Das Co-Founder and CTO, SourcingXPress

05:15 am - 05:30 am November 6

Agentic Approach to Using Neo4J Knowledge Graphs in Salesforce

By Ramesh BN Developer

05:30 am - 06:00 am November 6

Agentic GraphRAG: Multi-Agent Knowledge Graph Construction for Research Teams

By Akhil Hemanth AI Technology Architect, Newcomb & Boyd, LLP

06:00 am - 06:30 am November 6

From Sushi to Semantics: A GraphRAG-Powered Japanese Food Explorer with Neo4j and MCP

By Koji Annoura Neo4j Ninja

06:30 am - 07:00 am November 6

Agentic memory

By Tomaz Bratanic Graph Data Analyst

08:00 am - 08:30 am November 6

FHIR in the W.H.O.L.E.: Graphing Clinical Data for Smarter AI Systems

By Krishnendu Dasgupta Founder, AXONVERTEX AI ; CTO, TrialBridge, Julia Hitzbleck Founder, HI10x; CEO, TrialBridge

Europe

Sessions by Track in Your Timezone

10:00 am - 10:15 am November 6

Welcome to NODES 2025

By Michael Hunger VP of Product Innovation and GenAI, Neo4j

11:00 am - 11:30 am November 6

Neo4j Product Vision and Roadmap

By Sudhir Hasbe President, Technology & Chief Product Officer, Neo4j

05:00 pm - 05:30 pm November 6

Live Q&A with Emil Eifrém and Andreas Kollegger

By Emil Eifrèm Neo4j’s Co-Founder and CEO, Andreas Kollegger GenAI Lead for Developer Relations

11:30 am - 12:00 pm November 6

A Graph Algorithms Agent

By Brian Shi Senior Software Engineer, Neo4j

12:00 pm - 12:30 pm November 6

Agentic RAG Meets Neo4j: Multi-Hop Reasoning over Scientific Knowledge Graphs

By Annabelle Blangero Responsible AI Domain Leader, Ekimetrics, Jean Lelong Data Scientist, Ekimetrics

12:30 pm - 01:00 pm November 6

Building Contextual Knowledge Graphs to Adapt, Evaluate, and Leverage LLMs

By Samira Korani Founder, Tripoh.ie

01:15 pm - 01:30 pm November 6

Narrative Extraction with GenAI: Human-centric Knowledge Graph Creation from Text

By Federica Ventruto Data Scientist, GraphAware

01:30 pm - 02:00 pm November 6

Anonymization in the LLM Era: No Room for Compromise

By Christophe Willemsen CTO, GraphAware

02:00 pm - 02:30 pm November 6

Boosting RAG with Hybrid Search: Keyword + Vector for Maximum Relevancy

By Ohad Levi Co-founder and CEO, Hyperspace

02:30 pm - 02:45 pm November 6

Multiagent GenAI-Powered Oncology Research with GraphMedAI and Neo4j

By Hanafi Yakouben Chief Technology Officer, LUX4IT, Zouhair Allaoui Co-Founder and CEO, LUX4IT

02:45 pm - 03:00 pm November 6

Revolutionizing Platform Engineering with AI Agents and GraphRAG

By Shubham Bakshi Security Architect, Outshift

03:15 pm - 03:30 pm November 6

Text2Cypher Beyond English: Initial Evaluation with Foundational LLMs

By Makbule Gulcin Ozsoy Software Developer, Neo4j, Will Tai Senior Software Engineer, Neo4j

03:30 pm - 04:00 pm November 6

Powering Legal Research with Knowledge Graphs and Large Language Models

By Basant Mounir Senior Data Scientist, The Central Bank of Egypt, Ahmad Abdelaal Data Scientist Intern, The Central Bank of Egypt

04:00 pm - 04:15 pm November 6

GraphRAG for Supply Chain Resilience: Building an AI Supplier Discovery Engine

By Pedro Parraguez CEO and Graphista, Dataverz ApS, Nelson Guamán Leiva Co-Founder and CTO, Dataverz ApS

04:15 pm - 04:30 pm November 6

Building Evolving AI Agents Via Dynamic Memory Representations Using Temporal Knowledge Graphs

By Michael Banf Chief AI Scientist, Perelyn GmbH, Johannes Kuhn Lead MLOps, Autonomous and Trustworthy AI, Perelyn

04:30 pm - 05:00 pm November 6

Beyond Tags: Content Discovery with Tripadvisor’s Hybrid Graph Search

By Amir Afrasiabi Rad Senior Software Engineer - Tripadvisor, Meng Pan Senior Machine Learning Engineer - Tripadvisor, Konstantin Buzdin Software Development Manager - Tripadvisor, Varuni Gang Senior Principal Machine Learning Engineer

11:30 am - 12:00 pm November 6

From Spaghetti to Structure: Decoding Complex Codebases with Graphs and GenAI

By John Bolger Global Lead for Application Modernisation and Cloud Transformation, Version 1

12:00 pm - 12:30 pm November 6

Connecting Java Applications over HTTP to Query API

By Dmitriy Tverdiakov Lead Software Engineer, Neo4j, Greg Woods Software Engineer, Neo4j

12:30 pm - 01:00 pm November 6

Conquering Neo4j Errors: GQLSTATUS Codes to the Rescue

By Louise Berglund Lead Software Engineer, Neo4j

01:15 pm - 01:30 pm November 6

Aura Import: Anywhere, Anytime

By Dhru Devalia Software Engineer, Neo4j, Jun Chen Senior Software Engineer, Neo4j

01:30 pm - 02:00 pm November 6

Spring in Autumn with Neo4j

By Gerrit Meier Software Engineer, Neo4j

02:00 pm - 02:30 pm November 6

Structr 6.0 – AI-enabled Low-Code based on Neo4j

By Axel Morgner Founder and CEO, Structr

02:30 pm - 02:45 pm November 6

Batch Data to Graphs: Integrating Neo4j and Flink via JDBC

By Eugene Rubanov Lead Software Engineer, Neo4j

02:45 pm - 03:00 pm November 6

GraphQL Data APIs in Aura

By Liam Doodson Software Engineer, Neo4j

03:15 pm - 03:30 pm November 6

Easy Jupyter Notebook Graph Visualization in 10 minutes

By Adam Schill Collberg Lead Software Engineer, Neo4j, Florentin Dörre Graph Data Science Engineer, Neo4j

03:30 pm - 04:00 pm November 6

Property Sharding: I Want to Shard My Database, Now What?

By Nadja Müller Cypher Developer, Neo4j, Max Bautzer Software Engineer, Neo4j, Stefano Simonelli Senior Software Engineer, Neo4j

04:00 pm - 04:30 pm November 6

Building GenAI Apps with the LangChain Neo4j Package

By Alex Thomas Senior Software Engineer

04:30 pm - 04:45 pm November 6

How Lettria Unlocked 20% Accuracy Gains with Qdrant and Neo4J

By Romain Albrand Senior ML Engineer

04:45 pm - 05:00 pm November 6

Early path traversal pruning

By Jan Zak Software Engineer @ IBM Manta Data Lineage

11:30 am - 12:00 pm November 6

From Unstructured to Connected: Building Knowledge Graphs for GenAI with neo4j-graphrag

By Estelle Scifo Lead Software Engineer, Neo4j, Nathalie Charbel Senior Software Engineer at Neo4j

12:00 pm - 12:30 pm November 6

Graph Analytics in Snowflake: Beyond Traditional SQL

By Olga Razvenskaia Senior Software Engineer, Neo4j

12:30 pm - 01:00 pm November 6

A Sommelier’s Guide to Recommendation Algorithms: Classical and Graph-Based Recommender Systems

By Moritz Wegener X-INTEGRATE

01:15 pm - 01:30 pm November 6

Using Microsoft Fabric Workload for AuraDB to Make Product Recommendations from OneLake Data

By Stu Moore Product Manager, Neo4j, Emre Hizal Software Engineer, Neo4j

01:30 pm - 02:00 pm November 6

Improving Text2Cypher: Lessons from Schema Filtering and Hard Example Selection

By Makbule Gulcin Ozsoy Software Developer, Neo4j

02:00 pm - 02:30 pm November 6

GraphRag in Action: Revolutionizing Fraud Detection Techniques

By Alessio De Angelis Senior Solutions Architect, Whitehall Reply

02:30 pm - 03:00 pm November 6

Turning Claude into a Football Opposition Analyst

By Adam Cowley Developer Advocate, Neo4j

03:15 pm - 03:30 pm November 6

See What the Graph Sees: Demystifying PageRank Through Visual Storytelling

By Nicolas Rouyer Senior Pre-Sales Engineer, Neo4j

03:30 pm - 04:00 pm November 6

Hands-On with the New Neo4j Dashboards Tool

By Niels De Jong Product Manager, Neo4j

04:00 pm - 04:15 pm November 6

Leveraging Knowledge Graph and Imaging to Predict Gene–Disease Links in Cardiovascular Diseases

By Khaled Rjoob Postdoctoral Researcher, MRC Laboratory of Medical Sciences, Imperial College London

04:15 pm - 04:30 pm November 6

The Green potential of Knowledge Graphs

By Joakim Nilsson Capgemini, Knowledge Graph Lead

11:30 am - 12:00 pm November 6

Making Your Knowledge Graph LLM-Ready: Quality Assessment and Design Strategies for GraphRAG

By Panos Alexopoulos Semantic Data and AI Solutions Lead, Triply BV

12:00 pm - 12:30 pm November 6

Rendering Graphs Your Way: The Case for Going Custom

By Tony Smid Frontend Tech Lead, GraphAware

12:30 pm - 01:00 pm November 6

Crafting a Neo4j Knowledge Graph Semantic Reasoner for LPG-Based Ontologies with Python and CDC

By Pierre Halftermeyer Senior Solutions Engineer, Neo4j

01:15 pm - 01:30 pm November 6

Knowledge Graph of Drugs Data for Swiss Healthcare System

By Christian Franke SwissDRG

01:30 pm - 02:00 pm November 6

Introducing the Open Source Semantic Graph Editor of Deutsche Bahn

By Jörg Baach Graph Integration Expert, DB Systel, Mihajlo Lazar Front-End Developer, DB Systel GmbH, Klaus Bermuth IT Consultant, DB Systel GmbH

02:00 pm - 02:30 pm November 6

How to Find a Killer Using Graphs: What Sherlock Holmes Was Really Doing with That Red String

By Paweł Gołąb Co-Founder, Bielik Consulting; Founder, Million Monkeys Software

02:30 pm - 02:45 pm November 6

Turning Raw Data into Life-Saving Decisions Using Neo4j and n8n

By Claire Champourlier Tech Advisor, Interrest

02:45 pm - 03:00 pm November 6

Graphs on the High Seas: UI/UX Considerations for Great Geospatial Graph Visualization

By Dan Williams Chief Product Officer, Cambridge Intelligence

03:15 pm - 03:30 pm November 6

Making Graphs More User-Friendly with AI

By Guido Thys Vice President, Antwerp Bibliophile Society

Americas

Sessions by Track in Your Timezone

06:00 pm - 06:15 pm November 6

Welcome to NODES 2025

By Stephen Chin Vice President of Developer Relations, Neo4j

06:55 pm - 07:25 pm November 6

Neo4j Product Vision and Roadmap

By Sudhir Hasbe President, Technology & Chief Product Officer, Neo4j

01:00 am - 01:30 am November 7

Live Q&A with Emil Eifrém and Andreas Kollegger

By Emil Eifrém Neo4j’s Co-Founder and CEO, Andreas Kollegger GenAI Lead for Developer Relations

07:30 pm - 08:00 pm November 6

CyRAG: Retrieval Augmented Generation for Robust Cyber Defense

By Mahantesh Halappanavar Chief Scientist and Group Leader, Pacific Northwest National Laboratory, Moqsadur Rahman Ph.D. Student, University of Texas at El Paso, Siddhartha Shankar Das Postdoctoral Researcher, Pacific Northwest National Laboratory, Joseph Aguayo Deputy Chief Information Security Officer, Pacific Northwest National Laboratory

08:00 pm - 08:30 pm November 6

Building an Enterprise GraphRAG Platform

By Daniel Bukowski CTO, Data2, Alexander Elkholy Head of Data Science and Product, Data²

08:30 pm - 09:00 pm November 6

Enhancing Human Proteome Exploration with MCP and Neo4j

By Juan Aguirre Data Engineer, Silicogenix

09:00 pm - 09:15 pm November 6

Airport Layouts as Graphs: How I Built a Real-World Accurate, AI Air Traffic Control Agent

By Keanan Koppenhaver Founder, FloorboardAI

09:30 pm - 10:00 pm November 6

Agentic GraphRAG: AI’s Logical Edge

By Stephen Chin Vice President of Developer Relations, Neo4j

10:00 pm - 10:30 pm November 6

Graph Transformers on Neo4j

By Brian Shi Senior Software Engineer, Neo4j, Rishi Puri PyG Engineering Lead, NVIDIA

10:30 pm - 10:45 pm November 6

RAG and Voice Agent Applications

By Tony Xavier Graduate Student, DePaul University

11:00 pm - 11:15 pm November 6

Legal Workflows and Knowledge Graphs

By Antonio Spiezia CEO and Founder, Trails

11:15 pm - 11:30 pm November 6

Google’s Agent Development Kit with Neo4j MCP Toolbox

By Ashutosh Bhakare CEO, Unnati Development and Training Centre Pvt Ltd

07:30 pm - 08:00 pm November 6

The Fastest Path To Building An Agent For Your Knowledge Graph Is By Using MCP

By William Lyon Director, Hypermode

08:00 pm - 08:30 pm November 6

Location Insights for Your Graphs with Neo4j, PostGIS, and Brickgraph

By David Bender Founder, Brickgraph

08:30 pm - 09:00 pm November 6

Building Smarter Knowledge Graph Pipeline for Secure and Robust Semiconductor Chips

By Seema Naswa General Manager, Microelectronics Security, Amida Technology Solutions, Peter Levin Co-Founder and CEO, Amida Technology Solutions, Inc.

09:00 pm - 09:15 pm November 6

From Aviation Data to AI Copilot: Building a Conversational Graph for Flight Intelligence

By Vishakha Verma Lead Data Engineer

09:30 pm - 10:00 pm November 6

From Side Project to Startup: Graph Lessons From the Cartography Journey

By Alex Chantavy Co-founder and CEO, SubImage

10:00 pm - 10:30 pm November 6

Building an Entire Graph Application with Nodestream

By Zach Probst Staff Software Engineer, Intuit Platform Security

10:30 pm - 10:45 pm November 6

Immerse Yourself in Your Data With VR Visualization of Neo4j Graphs

By James Mireles Founder, Aviar Technology

11:00 pm - 11:15 pm November 6

Leveraging Knowledge Graphs and LLMs to document large scale codebases

By Thomas Orth Senior AI Research Engineer, Lockheed Martin

11:15 pm - 11:30 pm November 6

Neo4j Meets FinOps & GreenOps: Real-Time Graphs for Cloud Cost Intelligence

By Mehdi Jafari Founder, CloudSibyl

11:30 pm - 12:00 am November 7

Beyond Vibe Coding: AI Agents for Technical Debt Detection with Neo4j

By Kambui Nurse Founder AI Agency Services

07:30 pm - 08:00 pm November 6

From Warehouse to Wisdom: Activating Business Data with Neo4j

By Coskun Cavusoglu FSO Tax Technology Transformation Leader, EY, Michael Tran FSO Tax Technology Strategist, EY

08:00 pm - 08:30 pm November 6

Breaking Silos: Using Neo4j to Unify Tax and Finance Data

By Coskun Cavusoglu FSO Tax Technology Transformation Leader, EY, Michael Tran FSO Tax Technology Strategist, EY

08:30 pm - 09:00 pm November 6

Enhancing Benefit Adjudication through Graph Node Embedding, Clustering, and Outlier Detection

By Manish Mithaiwala Senior Graph Data Scientist, Amida Technology Solutions, Yao Ma Assistant Professor, Rensselaer Polytechnic Institute

09:00 pm - 09:15 pm November 6

G-forces Meet Graphs: Analyzing 50+ Years of Formula 1 Sponsorship Using GDS

By William Steadman Business Intelligence Analyst, Delaware North Sportservice, Cincinnati Reds, Joe Cobbs Professor, Northern Kentucky University, David Tyler Associate Professor, University of Massachusetts Amherst