APPENDIX: DOCUMENTATION OF THE DATA

1. Mapping Projects to Patent Classes

Bailey Services, Inc., mapped the technological goals of ATP-funded research consortia to the U.S. Patent and Trademark Office’s patent classification system. This firm, based in Texas and Washington, D.C., consists of Ph.D.-level scientists with many years of professional experience in obtaining patent data for corporate clients.

2. Data Construction Description

With this mapping in hand, we sought to acquire patent data for U.S. firms in our sample. Unfortunately, patents assigned to U.S. corporations by the U.S. Patent and Trademark Office (USPTO) are not indexed by Standard & Poor’s COMPUSTAT code but by an “assignee code” which corresponds to the name of the firm as it appears on the patent grant document. Often firms will take out patents in the name of a subsidiary firm. Alternatively, firms may use variants of their name on the patent document (“International Business Machines, Incorporated” vs. “IBM”). Thus, obtaining the total number of U.S. patents of participating firms required a rather extensive, sophisticated search through publicly available data sources, as a single firm can have patents assigned to any one of several dozen separate “assignee codes.” Bronwyn Hall at the University of California, Berkeley allowed us to use her proprietary “mapping” from firm COMPUSTAT codes to USPTO assignee codes to quickly identify the assignee codes for the firms in our data set.

With these assignee codes, we were able to obtain patent data directly in electronic form through the use of the REI Patent Database developed and maintained at Case Western Reserve University’s Center for the Study of Regional Economic Issues. This database allowed us to date patents by the date of application rather than the date of grant. This is important, because the lag between the development of an idea by a firm (at which point the patent is applied for) and the granting of a patent by the patent office can be as long as 2–3 years. Unfortunately, at the time of this analysis, the REI database only contained information on patents granted through 1996. This means that our information on patents applied for effectively only goes up to 1994 or early 1995.

Our patent data initially consisted of observations on individual patents. For each patent granted to firms in our database after 1980, we obtained information on the “primary” technology class of the patent, the date of application, and, in some cases, the address of the inventor. Managing this data was quite complicated, because some of our firms had literally thousands of patents, and we were obtaining this data on hundreds of firms. We used the PERL text processing language to process the original text files submitted with each patent application. Then, we converted our data into STATA format. The STATA statistical analysis software package was used in all of our regressions.

These patent data were aggregated in a number of ways. To provide the dependent variable for our firm-level regressions, we added up all patents taken out by a given firm in a given year for the years 1985–1995. To provide the dependent variable for our consortium-level regressions, we added up all patents taken out by all firms participating in a given project in all targeted patent classes during a given year for the years 1985–1995. To provide the dependent variable for our firm-consortium level regressions, we added up the patents taken out by individual firms participating in a given project in the targeted patent classes in a given year. In this case, a firm’s participation in one project was taken as the unit of observation—the same firm could show up multiple times in the data set if it participated in more than one project. Finally, to calculate our measures of “average proximity,” each firm’s total patents over the 1980–1995 period were aggregated into 50 technology clusters to create the F vector defined in the body of the report. The measure of technological proximity was derived from the average uncentered correlation coefficient of the F vectors of firms participating in the projects.

As for the data on research input and other firm characteristics, the original source for our data is the COMPUSTAT data file, but we actually obtained our data from Bronwyn Hall, who did some substantial cleaning of the raw data and provided us with deflators.

One issue we had to deal with was the fact that some participating firms in the ATP-funded research consortia were subsidiaries of much larger corporations. To identify the patent output of participating subsidiaries, we used data from the REI patent database on the geographic location of the inventor. We took patents assigned to a participating firm and then identified the subset of patents assigned to that firm which were invented by persons in the same geographic area (CMSA code) as the location of the participating subsidiary.

Firms can participate in multiple consortia and multiple consortia can target similar classes of technologies. Thus, there was an overlap in the consortia, both in terms of participating firms and targeted technology classes. Controlling only for the inputs directly invested in a particular consortium may make some consortia look successful simply because they are located in the center of a cluster of related consortia, and innovative output is high because resources are seeping in from these related projects. We control for this overlapping in our measure of real_direct_inputs, which was calculated as follows. If two consortia, X and Y, have two common firms, then these firms' share of the total budget for consortium Y is multiplied by the degree of technological overlap between X and Y in terms of targeted patent classes, and this project is imputed to X as "indirect inputs." A similar imputation is done for consortia that follow X and targret some of the same firms and classes.

Table A1. Mapping of Projects of Patent Classes

Project	Associated Patent Classes
90-01-0060	349 428 345 359 445 313 361 324 348 364 702 395 156 206
90-01-0126	430 204 315 378 250 372 347 355 356 73 359 385 428
90-01-0154	174 257 439 361 338 148 228 29 156 428 355
90-01-0154	174 257 439 361 338 148 228 29 156 428 355
90-01-0154	174 257 439 361 338 148 228 29 156 428 355
90-01-0154	174 257 439 361 338 148 228 29 156 428 355
90-01-0154	174 257 439 361 338 148 228 29 156 428 355
90-01-0231	365 369 711 346 395 372 257 359 364
90-01-0231	365 369 711 346 395 372 257 359 364
91-01-0016	364 360 365 386 396 348 345 395 346
91-01-0016	364 360 365 386 396 348 345 395 346
91-01-0016	364 360 365 386 396 348 345 395 346
91-01-0016	364 360 365 386 396 348 345 395 346
91-01-0016	364 360 365 386 396 348 345 395 346
91-01-0016	364 360 365 386 396 348 345 395 346
91-01-0016	364 360 365 386 396 348 345 395 346
91-01-0069	706 73 364 252 438
91-01-0069	706 73 364 252 438
91-01-0069	706 73 364 252 438
91-01-0069	706 73 364 252 438
91-01-0083	706 395 364
91-01-0083	706 395 364
91-01-0083	706 395 364
91-01-0083	706 395 364
91-01-0176	257 345 347 348 353 355 358 359 364 365 369 372 385 386 395 438
91-01-0177	73 702 364 706 356
91-01-0177	73 702 364 706 356
91-01-0177	73 702 364 706 356
91-01-0178	264 427 428 442 521 523 526 296
91-01-0261	204 427 117 118 428 423
91-01-0267	364 395 706 707 438
91-01-0267	364 395 706 707 438
92-01-0040	156 364 395 425 706
92-01-0040	156 364 395 425 706
92-01-0044	435 536 382 364 436
93-01-0089	359 204
93-01-0089	427 118 407 51 75 216 30
93-01-0089	427 118 407 51 75 216 30
93-01-0089	427 118 407 51 75 216 30
93-01-0151	359 364 395 707 701 385 340 375

Table A1 continued

Project	Associated Patent Classes
93-01-0151	359 364 395 707 701 385 340 375
93-01-0244	82 83 29 318 184 501 279
93-01-0244	82 83 29 318 184 501 279
93-01-0244	82 83 29 318 184 501 279
93-01-0244	82 83 29 318 184 501 279
94-01-0079	384 148 428 501 420
94-01-0079	384 148 428 501 420
94-01-0079	384 148 428 501 420
94-01-0135	95 96 204 252 423 428 501 502
94-01-0169	706 705 364 395 345 702
94-01-0169	706 705 364 395 345 702
94-01-0169	706 705 364 395 345 702
94-01-0169	706 705 364 395 345 702
94-01-0169	706 705 364 395 345 702
94-01-0169	706 705 364 395 345 702
94-01-0178	356 395 73 707 702 318 369
94-01-0178	356 395 73 707 702 318 369
94-01-0178	356 395 73 707 702 318 369
94-01-0178	356 395 73 707 702 318 369
94-01-0190	502 423 252 585
94-01-0228	128 600 408 382 364
94-01-0282	141 313 349 395 445 324 345 427 364
94-01-0304	345 348 353 359 361 445 257
94-01-0305	428 106 216 252 427 244
94-01-0340	505 428 427 148 257
94-01-0357	427 118 428 51 219
94-02-0027	296 156 425 411 264 252 52
94-02-0027	296 156 425 411 264 252 52
94-02-0027	296 156 425 411 264 252 52
94-02-0030	75 420 428 74 164 264 442 475 60
94-02-0032	405 166 137 138 285 156 420
94-02-0032	405 166 137 138 285 156 420
94-02-0032	405 166 137 138 285 156 420
94-02-0032	405 166 137 138 285 156 420
94-02-0033	156 264 428 442 164 702 364 324 340
94-02-0038	405 166 137 138 285 156 420
94-02-0038	405 166 137 138 285 156 420
94-02-0038	405 166 137 138 285 156 420
94-02-0039	156 420 52 156 264 428 442
94-02-0039	156 420 52 156 264 428 442

Table A1 continud

Project	Associated Patent Classes
94-02-0043	14 52 292 403 156 428 442 702 364 324 340
94-02-0048	405 166 137 138 285 156 420
94-02-0048	405 166 137 138 285 156 420
94-02-0048	405 166 137 138 285 156 420
94-04-0028	706 707 395
94-04-0041	707 705
94-04-0041	707 705
94-05-0004	372 359 385 430 347 355 257
94-05-0030	204 436 435
95-01-0108	385 359 372 455 356 73 228 324 148 235
95-01-0108	385 359 372 455 356 73 228 324 148 235
95-01-0126	313 445 437 385 359 501 257 438 345
95-01-0150	62 361 417 60 165
95-01-0152	257 438 437 359 445 349 378
95-02-0008	29 72 101 180 280 296 423
95-02-0008	29 72 101 180 280 296 423
95-02-0008	29 72 101 180 280 296 423
95-02-0008	29 72 101 180 280 296 423
95-02-0008	29 72 101 180 280 296 423
95-02-0008	29 72 101 180 280 296 423
95-02-0008	29 72 101 180 280 296 423
95-02-0009	419 75 428 148 29 72 74 180 301
95-02-0013	219 706 364 395 29 180 280 296
95-02-0013	219 706 364 395 29 180 280 296
95-02-0013	219 706 364 395 29 180 280 296
95-02-0013	219 706 364 395 29 180 280 296
95-02-0013	219 706 364 395 29 180 280 296
95-02-0013	219 706 364 395 29 180 280 296
95-02-0013	219 706 364 395 29 180 280 296
95-02-0013	219 706 364 395 29 180 280 296
95-02-0013	219 706 364 395 29 180 280 296
95-02-0035	420 148 72 73 29 702
95-02-0035	420 148 72 73 29 702
95-02-0035	420 148 72 73 29 702
95-02-0035	420 148 72 73 29 702
95-02-0035	420 148 72 73 29 702
95-02-0036	250 118 427 216 148 76 315 219 156
95-02-0036	250 118 427 216 148 76 315 219 156
95-02-0036	250 118 427 216 148 76 315 219 156
95-02-0036	250 118 427 216 148 76 315 219 156

Table A1 continued

Project	Associated Patent Classes
95-02-0040	501 75 427 428 117 118 407 51
95-02-0058	123 451 73 702
95-02-0058	123 451 73 702
95-02-0062	378 250 257 364 382 74
95-02-0062	378 250 257 364 382 74
95-02-0062	378 250 257 364 382 74
95-03-0017	348 364 365 369 386 345 370 707 711 375 395 382 346 359
95-03-0018	360 364 346 395 386 348 324 711 427
95-03-0018	360 364 346 395 386 348 324 711 427
95-03-0022	369 360 364 346 395 386 348 385 707 711 235
95-03-0022	369 360 364 346 395 386 348 385 707 711 235
95-03-0022	369 360 364 346 395 386 348 385 707 711 235
95-03-0022	369 360 364 346 395 386 348 385 707 711 235
95-04-0001	348 375 386 395 455 379 370 342 343 382
95-04-0026	348 375 386 395 455 379 370 385 342 343 345 364 382
95-04-0026	348 375 386 395 455 379 370 385 342 343 345 364 382
95-04-0026	348 375 386 395 455 379 370 385 342 343 345 364 382
95-04-0037	348 375 386 395 455 379 370 385 342 343 345 364 382
95-04-0037	348 375 386 395 455 379 370 385 342 343 345 364 382
95-05-0038	524 525 526 264 502
95-05-0038	524 525 526 264 502
95-05-0039	502 524 525
95-05-0040	502 585 560 568
95-05-0040	502 585 560 568
95-06-0010	62 165 415 384 137 417 361
95-06-0010	62 165 415 384 137 417 361
95-06-0010	62 165 415 384 137 417 361
95-06-0010	62 165 415 384 137 417 361
95-06-0011	62 73 356 250
95-07-0004	228 219 324 148 395 235
95-07-0004	228 219 324 148 395 235
95-07-0017	164 416 29 415 60
95-08-0006	435 436 707 704 705 364
95-08-0023	435 436 382 364
95-10-0030	455 707 395 386 364
95-11-0010	405 166 137 138 285 156 420
95-11-0024	156 425 264 252 52 296 428 442 423
95-11-0024	156 425 264 252 52 296 428 442 423

Table A1 continued

Project	Associated Patent Classes
95-12-0024	364 702 706 705 395 340 370
95-12-0024	364 702 706 705 395 340 370
95-12-0027	156 264 428 442 164 702 364 324 340
95-12-0027	156 264 428 442 164 702 364 324 340
95-12-0030	705 706 364 395
95-12-0030	705 706 364 395
95-12-0030	705 706 364 395
95-12-0030	705 706 364 395
96-01-0257	378 250 257 364 382 345 358
96-01-0257	378 250 257 364 382 345 358

Table A2. U.S. Projects and Firms in Our Data Sets

Project Number	Project Title	CUSIP	Company Name
90-01-0060	Advanced Manufacturing Technology for Low-Cost Flat-Panel Display	913017	United Technologies Corporation
90-01-0126	Solid-State Laser Technology for Point-Source X-Ray Lithography	580169	McDonnell Douglas Corporation
90-01-0154	Printed Wiring Board Interconnect Systems	19512	Allied Signal, Inc.
90-01-0154	Printed Wiring Board Interconnect Systems	370442	General Motors Corporation
90-01-0154	Printed Wiring Board Interconnect Systems	459200	International Business Machines Company
90-01-0154	Printed Wiring Board Interconnect Systems	882508	Texas Instruments, Inc.
90-01-0154	Printed Wiring Board Interconnect Systems	913017	United Technologies Corporation
90-01-0231	Short-Wavelength Sources for Optical Recording	277461	Eastman Kodak Company
90-01-0231	Short-Wavelength Sources for Optical Recording	459200	International Business Machines Company
91-01-0016	Ultra-High Density Magnetic Recording Heads	38213	Applied Magnetics Company
91-01-0016	Ultra-High Density Magnetic Recording Heads	277461	Eastman Kodak Company
91-01-0016	Ultra-High Density Magnetic Recording Heads	428236	Hewlett-Packard
91-01-0016	Ultra-High Density Magnetic Recording Heads	459200	International Business Machines Company
91-01-0016	Ultra-High Density Magnetic Recording Heads	747906	Quantum Corporation
91-01-0016	Ultra-High Density Magnetic Recording Heads	811804	Seagate Technology
91-01-0016	Ultra-High Density Magnetic Recording Heads	862111	Storage Technology
91-01-0069	Neural Network Control and Sensors for Complex Materials	18804	Alliant Techsystems
91-01-0069	Neural Network Control and Sensors for Complex Materials	438506	Honeywell, Inc.
91-01-0069	Neural Network Control and Sensors for Complex Materials	604059	3M Company
91-01-0069	Neural Network Control and Sensors for Complex Materials	822440	Sheldahl
91-01-0083	NCMS Rapid Response Manufacturing	345370	Ford Motor Company
91-01-0083	NCMS Rapid Response Manufacturing	370442	General Motors Corporation
91-01-0083	NCMS Rapid Response Manufacturing	882508	Texas Instruments, Inc,
91-01-0083	NCMS Rapid Response Manufacturing	913017	United Technologies Corporation
91-01-0176	Monolithic Multiwavelength Laser Diode Array Spanning 430 to 1100nm	984121	Xerox Corporation
91-01-0177	Development of Advanced Technologies and Systems for Controlling Dimensional Variation	171196	Chrysler Corporation
91-01-0177	Development of Advanced Technologies and Systems for Controlling Dimensional Variation	370442	General Motors Corporation
91-01-0177	Development of Advanced Technologies and Systems for Controlling Dimensional Variation	71361F	Perceptron, Inc.
91-01-0178	Cyclic Thermoplastic Liquid Composite Molding for Automotive Structures	71361F	Perceptron, Inc.
91-01-0261	Plasma Technology for Low-Cost Diamond Production	960402	Westinghouse Electric Corporation

Table A2 continued

Project Number	Project Title	CUSIP	Company Name
91-01-0267	PREAMP - Pre-Competitive Advanced Manufacturing of Electrical Products	97023	Boeing Company
91-01-0267	PREAMP - Pre-Competitive Advanced Manufacturing of Electrical Products	774347	Rockwell International Corporation
92-01-0040	Engineering Design with Injection-Molded Thermoplastics	369604	General Electric Company
92-01-0040	Engineering Design with Injection-Molded Thermoplastics	370442	General Motors Corporation
92-01-0044	Genosensor Technology Development	75816	Beckman Instruments
92-01-0123	Electrochromic Materials	604059	3M Company
93-01-0089	CVD Diamond-Coated Rotating Tools for Machining Advanced Composite Materials	345370	Ford Motor Company
93-01-0089	CVD Diamond-Coated Rotating Tools for Machining Advanced Composite Materials	370442	General Motors Corporation
93-01-0089	CVD Diamond-Coated Rotating Tools for Machining Advanced Composite Materials	775133	Rogers Corporation
93-01-0151	Jitney: A Low-Cost, High Performance Optical Bus	459200	International Business Machines Company
93-01-0151	Jitney: A Low-Cost, High Performance Optical Bus	604059	3M Company
93-01-0244	Strategic Machine Tool Technologies: Spindles	345370	Ford Motor Company
93-01-0244	Strategic Machine Tool Technologies: Spindles	370442	General Motors Corporation
93-01-0244	Strategic Machine Tool Technologies: Spindles	375046	Giddings & Lewis, Inc., Automation Technology
93-01-0244	Strategic Machine Tool Technologies: Spindles	456866	Ingersoll-Rand Company
94-01-0079	Engineered Surfaces for Rolling and Sliding Contacts	149123	Caterpillar, Inc.
94-01-0079	Engineered Surfaces for Rolling and Sliding Contacts	370442	General Motors Corporation
94-01-0079	Engineered Surfaces for Rolling and Sliding Contacts	887389	Timkin Company
94-01-0135	Dual Purpose Ceramic Membranes	74005P	Praxair Technology, Inc.
94-01-0169	Collaborative Decision Support for Industrial Process Control	31905	Amoco Corporation
94-01-0169	Collaborative Decision Support for Industrial Process Control	166751	Chevron Corporation
94-01-0169	Collaborative Decision Support for Industrial Process Control	302290	Exxon Corporation
94-01-0169	Collaborative Decision Support for Industrial Process Control	438506	Honeywell, Inc.
94-01-0169	Collaborative Decision Support for Industrial Process Control	822635	Shell Oil Company

Table A2 continued

Project Number	Project Title	CUSIP	Company Name
94-01-0169	Collaborative Decision Support for Industrial Process Control	881694	Texaco, Inc.
94-01-0178	Rapid Agile Metrology for Manufacturing	115223	Brown & Sharpe Manufacturing Company
94-01-0178	Rapid Agile Metrology for Manufacturing	149123	Catepillar, Inc.
94-01-0178	Rapid Agile Metrology for Manufacturing	278058	Eaton Corporation
94-01-0178	Rapid Agile Metrology for Manufacturing	369604	General Electric Company
94-01-0190	Development of Improved Catalysts Using Nanometer-Scale Technology	595073	Microfluidics International Corporation
94-01-0228	Computer-Integrated Revision Total Hip Replacement Surgery	459200	International Business Machines Company
94-01-0282	Diamond Diode Field Emission Display Process Technology Development	868532	Supertex, Inc.
94-01-0304	High Information Content Display Technology	657045	North America Philips Lighting Corporation
94-01-0305	Film Technologies to Replace Paint on Aircraft	604059	3M Company
94-01-0340	Technologies for HTS Components for Magnetic Resonance Applications	458771	Intermagnetics General Corporation
94-01-0357	Accelerated Commercialization of Diamond-Coated Round Tools and Wear Parts	489170	Kennametal, Inc.
94-02-0027	Automotive Composite Structures: Development of High Volume Manufacturing Technology	171196	Chrysler Corporation
94-02-0027	Automotive Composite Structures: Development of High Volume Manufacturing Technology	345370	Ford Motor Company
94-02-0027	Automotive Composite Structures: Development of High Volume Manufacturing Technology	370442	General Motors Corporation
94-02-0030	Polymer Matrix Composite Power Transmission Devices	428290	Hexcel Corporation
94-02-0032	Composite Production Risers	31905	Amoco Corporation
94-02-0032	Composite Production Risers	208251	Conoco, Inc.
94-02-0032	Composite Production Risers	428290	Hexcel Corporation
94-02-0032	Composite Production Risers	822635	Shell Oil Company
94-02-0033	High-Performance Composites for Large Commercial Structures	260543	Dow Chemical
94-02-0038	Spoolable Composite Tubing	31905	Amoco Corporation
94-02-0038	Spoolable Composite Tubing	718507	Phillips Petroleum Company
94-02-0038	Spoolable Composite Tubing	822635	Shell Oil Company
94-02-0039	Low-Cost Advanced Composite Process for Light Transit Vehicle Manufacturing	345370	Ford Motor Company
94-02-0039	Low-Cost Advanced Composite Process for Light Transit Vehicle Manufacturing	369604	General Electric Company

Table A2 continued

Project Number	Project Title	CUSIP	Company Name
94-02-0043	Low Cost Manufacturing and Design/Sensor Technologies for Seismic Upgrade of Bridge Columns	428290	Hexcel Corporation
94-02-0048	Manufacturing Composite Structures for the Offshore Oil Industry	428290	Hexcel Corporation
94-02-0048	Manufacturing Composite Structures for the Offshore Oil Industry	666807	Northrop Corporation
94-02-0048	Manufacturing Composite Structures for the Offshore Oil Industry	881694	Texaco, Inc.
94-04-0028	Development of an Episode Grouper	604059	3M Company
94-04-0041	Enterprise Integration Tool Set (EITS) for Healthcare Professionals	253912	Digital Systems Resources, Inc.
94-04-0041	Enterprise Integration Tool Set (EITS) for Healthcare Professionals	909214	Unisys Corporation
94-05-0004	Compact Blue Laser for Diagnostics	714041	Perkin-Elmer Corporation
94-05-0030	Diagnostic Laser Desorption Mass Spectrometry Detection of Multriplex Electrophore	372430	Genome Therapeutics Corporation
95-01-0108	Precision Optoelectronics Assembly	97023	Boeing Company
95-01-0108	Precision Optoelectronics Assembly	261597	Dresser Industries, Inc.
95-01-0126	Technology Development for the Smart Display—A Versatile High-Performance Video Display Integrated with Electronics	382388	Goodrich (B.F.) Company
95-01-0150	Development of Closed Cycle Air Refrigeration Technology for Refrigeration Market	9158	Air Products & Chemicals, Inc.
95-01-0152	Low-Cost Amorphous Silicon Manufacturing Technology	369604	General Electric Company
95-02-0008	Agile Precision Sheet-Metal Stamping	17634	Allen Bradley Company, Inc.
95-02-0008	Agile Precision Sheet-Metal Stamping	52770	Autodie International, Inc.
95-02-0008	Agile Precision Sheet-Metal Stamping	171196	Chrysler Corporation
95-02-0008	Agile Precision Sheet-Metal Stamping	345370	Ford Motor Company
95-02-0008	Agile Precision Sheet-Metal Stamping	370442	General Motors Corporation
95-02-0008	Agile Precision Sheet-Metal Stamping	538021	Litton Industries, Inc.
95-02-0008	Agile Precision Sheet-Metal Stamping	71361F	Perceptron, Inc.
95-02-0009	The Next-Generation Industrial Production Process for High-Density Powder Metal Products	370442	General Motors Corporation
95-02-0013	Intelligent Resistance Welding	17634	Allen Bradley Company, Inc.
95-02-0013	Intelligent Resistance Welding	171196	Chrysler Corporation
95-02-0013	Intelligent Resistance Welding	345370	Ford Motor Company
95-02-0013	Intelligent Resistance Welding	370442	General Motors Corporation
95-02-0013	Intelligent Resistance Welding	382388	Goodrich (B.F.) Company
95-02-0013	Intelligent Resistance Welding	458095	Intech R&D U.S.A.

Table A2 continued

Project Number	Project Title	CUSIP	Company Name
95-02-0013	Intelligent Resistance Welding	478366	Johnson Controls, Inc., Automotive Systems Group
95-02-0013	Intelligent Resistance Welding	538021	Litton Industries, Inc.
95-02-0013	Intelligent Resistance Welding	584029	Medar, Inc.
95-02-0035	Springback Predictability in Automotive Manufacturing	22249	Aluminum Company of America
95-02-0035	Springback Predictability in Automotive Manufacturing	118835	Budd Company, Technical Center
95-02-0035	Springback Predictability in Automotive Manufacturing	171196	Chrysler Corporation
95-02-0035	Springback Predictability in Automotive Manufacturing	345370	Ford Motor Company
95-02-0035	Springback Predictability in Automotive Manufacturing	370442	General Motors Corporation
95-02-0036	Plasma-Based Processing of Lightweight Materials for Motor-Vehicle Components and Manufacturing Applications	370442	General Motors Corporation
95-02-0036	Plasma-Based Processing of Lightweight Materials for Motor-Vehicle Components and Manufacturing Applications	412822	Harley-Davidson, Inc.
95-02-0036	Plasma-Based Processing of Lightweight Materials for Motor-Vehicle Components and Manufacturing Applications	538021	Litton Industries, Inc.
95-02-0036	Plasma-Based Processing of Lightweight Materials for Motor-Vehicle Components and Manufacturing Applications	831865	A.O. Smith Corporation
95-02-0040	Cubic Boron Nitride (cBN) Coatings for Cutting and Specialty Tools	489170	Kennametal, Inc.
95-02-0058	Flow-Control Machining	345370	Ford Motor Company
95-02-0058	Flow-Control Machining	370442	General Motors Corporation
95-02-0062	Fast, Volumetric X-Ray Scanner for Three-Dimensional Characterization of Critical Objects	369604	General Electric Company
95-02-0062	Fast, Volumetric X-Ray Scanner for Three-Dimensional Characterization of Critical Objects	370442	General Motors Corporation
95-02-0062	Fast, Volumetric X-Ray Scanner for Three-Dimensional Characterization of Critical Objects	808766	Scientific Measurement Systems, Inc.
95-03-0017	Ultrahigh-Capacity Optical Disk: Multilayer Short-Wavelength Write-Once and Erasable Optical Disk Recording System	277461	Eastman Kodak Company

Table A2 continued

Project Number	Project Title	CUSIP	Company Name
95-03-0018	High-Performance, Variable-Data-Rate, Multimedia Magnetic Tape Recorder	811804	Seagate Technology
95-03-0018	High-Performance, Variable-Data-Rate, Multimedia Magnetic Tape Recorder	862111	Storage Technology
95-03-0022	Technology Development for Optical-Tape-Based Rapid Access Affordable Mass Storage	292659	Energy Conversion Devices, Inc. (ECD)
95-03-0022	Technology Development for Optical-Tape-Based Rapid Access Affordable Mass Storage	620076	Motorola, Inc.
95-03-0022	Technology Development for Optical-Tape-Based Rapid Access Affordable Mass Storage	731095	Polaroid Corporation
95-03-0022	Technology Development for Optical-Tape-Based Rapid Access Affordable Mass Storage	948121	Xerox Corporation
95-04-0001	Mobile Information Infrastructure for Digital Video and Multimedia Applications	866810	Sun Microsystems Computer Corporation
95-04-0026	HDTV Broadcast Technology	459200	International Business Machines Company
95-04-0026	HDTV Broadcast Technology	657045	North America Philips Lighting Corporation
95-04-0026	HDTV Broadcast Technology	866810	Sun Microsystems Computer Corporation
95-04-0037	Perceptual-Based Video Encoding and Quality Measurement	866810	Sun Microsystems Computer Corporation
95-04-0037	Perceptual-Based Video Encoding and Quality Measurement	882508	Texas Instruments, Inc.
95-05-0038	Tailored Optical Polymers Through a Novel Catalyst System (TOPCAT)	382388	Goodrich (B.F.) Company
95-05-0038	Tailored Optical Polymers Through a Novel Catalyst System (TOPCAT)	31905	3M Company
95-05-0039	Elastomeric Polypropylene and Elastic Non-wovens Venture	31905	Amoco Corporation
95-05-0040	Breakthrough Technology for Oxidation of Alkanes	775371	Rohm & Haas Company
95-05-0040	Breakthrough Technology for Oxidation of Alkanes	866762	Sun Company, Inc. (R&M)
95-06-0010	Innovative, Small, High-Speed, Centrifugal Compressor and Integrated Heat-Exchange	19512	Allied Signal, Inc.
95-06-0010	Innovative, Small, High-Speed, Centrifugal Compressor and Integrated Heat-Exchange	144465	Carrier Corporation
95-06-0010	Innovative, Small, High-Speed, Centrifugal Compressor and Integrated Heat-Exchange	369604	General Electric Company
95-06-0010	Innovative, Small, High-Speed, Centrifugal Compressor and Integrated Heat-Exchange	913017	United Technologies Corporation

Table A2 continued

Project Number	Project Title	CUSIP	Company Name
95-06-0011	Novel Leak Detection Development	913017	United Technologies Corporation
95-07-0004	Fabrication of Advanced Structures Using Intelligent and Synergistic Materials Processing	149123	Caterpillar, Inc.
95-07-0004	Fabrication of Advanced Structures Using Intelligent and Synergistic Materials Processing	533543	Lincoln Electric Company
95-07-0017	Cost-Effective Blade Manufacturing for Combustion Turbine Applications	960402	Westinghouse Electric Corporation
95-07-0020	Low-Cost, Near Net-Shape Aluminum Casting Processes for Automotive and Truck Components	19512	Allied Signal, Inc.
95-08-0006	Real-Time Micro-PCR Analysis System	714041	Perkin-Elmer Corporation
95-08-0023	Arrayed Primer Extension (APEX): The Next Generation DNA Analysis System for Sequencing in DNA Diagnosis	716941	Pharmacia Biotech, Inc.
95-10-0030	Development of National Medical Practice Knowledge Banks	628862	NCR Corporation
95-11-0010	Composite Drill Pipes	718507	Phillips Petroleum Company
95-11-0024	Vapor-Grown Carbon-Fiber Compsites for Automotive Applications	370442	General Motors Corporation
95-11-0024	Vapor-Grown Carbon-Fiber Compsites for Automotive Applications	382550	Goodyear Aerospace Corporation
95-12-0024	An Agent-Based Framework for Integrated Intelligent Planning - Execution	456866	Ingersoll-Rand Company
95-12-0024	An Agent-Based Framework for Integrated Intelligent Planning - Execution	459200	International Business Machines Company
95-12-0027	Advanced Process Control Framework Initiative	7903	Advanced Micro Devices
95-12-0027	Advanced Process Control Framework Initiative	438506	Honeywell, Inc.
95-12-0030	Solutions for MES-Adaptable Replicable Technology (SMART)	31897	AMP, Inc.
95-12-0030	Solutions for MES-Adaptable Replicable Technology (SMART)	459200	International Business Machines Company
95-12-0030	Solutions for MES-Adaptable Replicable Technology (SMART)	871660	Synquest
95-12-0030	Solutions for MES-Adaptable Replicable Technology (SMART)	878377	International Technegroup, Inc.
96-01-0257	High Performance Sensor Arrays for Digital X-Ray and Visible Light Imaging	883666	Thermotrex Corporation
96-01-0257	High Performance Sensor Arrays for Digital X-Ray and Visible Light Imaging	984121	Xerox Corporation

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